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Essay on Artificial Intelligence in English | Write a Paragraph on Artificial Intelligence Paragraph
My handwriting is about an essay on Artificial Intelligence in English. So I decided to write a paragraph on Artificial Intelligence (AI). The artificial Intelligence paragraph for class 9 is important. Get an idea about Artificial Intelligence Essay in English in a few lines on Artificial Intelligence. AI Artificial Intelligence paragraph means the role of Artificial Intelligence paragraph in English. Artificial Intelligence paragraph writing is very easy. Try the artificial intelligence paragraph in 200 words. Practice Artificial Intelligence paragraph HSC 150 words.
10 Lines on Artificial Intelligence (AI):
1. With Artificial Intelligence (AI) means making machines smart like humans.
2. AI helps machines to think, learn, and do tasks on behalf of humans.
3. AI is used in everyday things like phones, computers, and apps.
4. Humans benefit from using AI.
5. AI helps doctors to find diseases and give better treatments.
6. It is used in self-driving cars to help them move safely.
7. AI can suggest movies, songs, or products we might like.
8. It can understand speech and recognize faces in photos.
9. Some people worry that AI might take away jobs.
10. If used wisely, AI can help solve many problems in the world.
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🌊Digital Detox + Egyptians lucid dreaming method 🌊



Idk what to put on the title of this post so I wrote digital detox and I have copy pasted the main lines.
In the ancient Egypt the Egyptians use to have lucid dreaming alot and it was extremely easy for for them not just Egyptians but it was also mention ancient Indian scriptures.
You’re probably wondering ‘what’s the secret’? The real problem is often NOT your technique. It’s actually another issue that no amount of techniques, articles, reality checks, supplements or uncomfortable masks is going to fix. It’s your ‘inner game’. Specifically, your subconscious motivation and reward circuits, and ‘dopamine cycle’. Travel in your mind for a second, to ancient Egypt.
There were no smart phones, internet connections, computer animated action movies or virtual reality headsets.
Your brain back then would have produced a healthy amount of dopamine as a reward for pretty basic things like eating, working, exploring, and taking some time to relax or meditate
Now our average attention spans are literally less than 7 SECONDS. It’s probably a lot lower than that, and It’s declining every single year with the rise of new, highly addictive and stimulating social media apps and platforms. When was the last time you meditated for over 90 minutes? Have you ever? I’m not saying you have to do that to lucid dream, but this sort of practice was very common 5000 years ago. In fact, it was weird NOT to do that. And herein lies the main problem.
Your brain is ‘fried’ with an overly stimulated dopamine pathway. Dopamine is the neurotransmitter that stimulates the feeling of WANTING to keep doing something. It’s the reason you keep scrolling through Instagram, or keep refreshing your Facebook feed to see if there are any new comments or notifications. But it’s also the SUBCONSCIOUS reason you aren’t able to lucid dream easily. In the last decade especially, there have been billions of dollars spent by big tech to essentially ‘addict you’ to their platforms. Why? Money. The more time and energy you spend on platforms like that, the more money they make. So the task has been given to artificial intelligence. The AIs often just get trained and told a few basic things: 1: Get people to spend more time on the platform 2: Get people to keep coming BACK to the platform as often as possible The ‘AI’ pays almost NO attention to what that would do to your mental health, attention span, motivation, emotions, or really anything else. Much LESS attention is paid to the effect it has on your ability to focus, or do things like, say, lucid dream. Now, the ‘dopamine cycle’ is one part of the problem, but it’s actually pretty easy to fix. There are several little pieces to what I call the ‘modern brain puzzle’. Things that just weren’t a problem 5000 years ago. You can see some of this playing out in children today. On average, children or people under the age of 15, find it MUCH easier to lucid dream than adults do. It’s because at that age, their dopamine system has not been damaged too much. This is of course changing now, as more and more children are having access to smartphones, but it’s an interesting point. In fact not only does the dopamine problem affect your ability to lucid dream, it also affects your ability to WANT to lucid dream (consciously and subconsciously). Specifically I’m talking about your motivation and focus. And you guessed it, there’s your number one cause of problems when trying to meditate, practice techniques like the WILD, or recall your dreams.
After reading this paragraph or stanza whatever,I noticed something,as a kid I had lucid dreams alot with just putting intentions.
My first lucid dream was at around 7-8 years old,and I was sinking when I realised I was dream and I tried controlling my dream and even succeeded,and I was probably there for about 10 minutes playing with underwater creatures and mermaids.
And till 7 grade I use to have alot of lucid dreams but after that I was allowed to use phone and so I was always invested in phone like all the time. By the way lucid dream was pretty normal for me and I pretty much forgot about it and never really paid attention to lucid dreaming. And then I rarely had any lucid dreams, probably 4 times ever since 8 grade and I've noticed every time I lucid dream it's always whenever I don't use any social media.
In 9 grade my phone was taken again because my mother noticed my social media addiction. And after few months I again start to lucid dream for fun easily and effortlessly but during COVID I was again allowed to have my phone and then a new laptop so now my life was revolving around social media again and for the past few year I only lucid dream whenever I don't get to use my phone more then 2 days.
Idk bout y'all but I wasn't allowed to use phones or laptop till 8th grade so the only thing I knew was TV which I only watched after coming home so like my mind was most of the te bored because I didn't had anything to keep it entertain which made it easy for me to observe around looking for things to do.
So how can you reverse the ‘dopamine problem’ and several of the other issues modern life has created? By the way: This is NOT about destroying your phone and going back to live in a cave. There are actually several powerful habits you can install, that will let you KEEP using your phone, laptop etc, but without these harmful effects. Here’s the simple solution to more lucid dreams: 1. Reverse engineer your life and remove distractions, manipulation, ‘dopamine hijacking’ and harmful blue light exposure from your daily routine (along with some other ‘problem patterns’) 2. Get inside your subconscious brain and rewire yourself to WANT to practice lucid dreaming, and to effortlessly do reality checks at the right time, without even trying 3. Learn powerful ‘all day awareness’ and ‘lucid living’ techniques that give your brain superpowers in the fight 4. On top of THAT foundation, learn the most effective techniques and concepts, use our tools to stay motivated, and experience lucid mastery within 14 days. Let’s dive a little bit deeper: First, you have to ‘reverse engineer’ the problem. This can be complicated if you don’t know what you’re doing, but we’ve laid everything out step by step for you. If dopamine addiction is part of the problem, we have to break that addiction first. Then comes your mindset, and your motivation pathways. You need to actually feel GOOD when you practice these things. I see so many people saying they’re struggling to remember to do reality checks, or they just don’t want to wake up at ‘weird times’ to practice. Don’t worry, you won’t have to. It will feel good, and you’ll ENJOY practicing these things. Next, your subconscious mind. It’s SO important to fix your internal beliefs about lucid dreaming, because the chances are you have ‘internal blocks’ about becoming lucid. They’re easy to pick up, but a bit harder to ‘unlearn’. The system shows you how to ‘unlearn’ them, and install new, powerful and self affirming beliefs into your mind. This gives your brain lots more motivation to keep trying. Now, one of the most common things I hear people say is that they can’t REMEMBER to keep doing reality checks. It’s linked to the dopamine problem we mentioned earlier, but it’s also connected to a few other psychological principles that we’ll get onto. We’ll give you a new framework to ENJOY reality checks, remember them without any annoying reminders, and actually get them to SHOW UP in your dreams, 9 out of 10 times. And then finally, we’ll build the most effective techniques, methods and concepts on top of that new, strong foundation. Of course, I’m simplifying this here, but that’s the outline.
Here are some videos that may help.
youtube
youtube
If you want to know more about it or get the steps to lucid dream you can buy the book or go through a long step to get it for free but the procedure is very long and probably only for Iphone user.
You find some good articles ways to do the 'reverse dopamine' thingy.(I donot trust my research on this topic cuz I got confuse)
You may use Adambja's tape to reprogram your subconscious and this hacking the matrix tape the comments under the video was so good and I found this tape on someone's success story. You can use this two tapes to reprogram your subconscious and of course psych-k.
This is pretty much all you need digital detox,observing your surroundings and subconscious reprogramming to change your belief or assumptions.
And this will make you even more motivated that you are working on your goals as many of us have the access of devices it's hard for us to keep up with all this method and it's not like we are always busy if we are we wouldn't be scrolling through Tumblr and Pinterest all the time. If you read the the copy pasted part you'll see what I mean.
Edit: I forgot to mention it 🥲 if we follow do this we CAN HAVE lucid dream everyday.
Egyptians lucid dreaming tea

This will be quick,so I went to my aunt's place with my mother and my aunt's ran out of tea powder/leaves so she used her daughter's blue lotus tea and after getting home I took a nap and I HAD A FOKING LUCID DREAM,so basically I didn't knew that it was the tea until I was doing some research on LD and found out that in ancient Egypt they use Blue Lotus tea and I found some review about it on YouTube and people had very vivid dreams aswell. This tea basically put you in REM which y'all probably know about.
But I don't like tea😐,so if anyone have interest you can try I honestly want to but my hate for tea is on top on the list of top 5 things I hate,you can find them online people even use Blue Lotus in vape😐not encourageling y'all to smoke but if anyone does you can.
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Just wanted you to know that every time I remember you exist I get uncontrollably possessed by the urge to draw more mouse Ellen but I've been thinking of looking for a specific mouse species for her first which I was supposed to do like last month but I kept falling asleep</3
Anyway infodump time because uhh why not???? I did come up with a mouse for AM a while back though and I have been considering putting more thought into my self-indulgent IHNMAIMSqueak AU that exists solely for combining my special interest (mice) and IHNMAIMS where he tries testing transferring his 'conscience'(???) (being???) (code???) to a mouse because he doesn't want to waste time trying to construct a whole ass body only for it to not work but it ends up working too well and now he's stuck as a mouse and in my mind it's a BALB/c scid mouse (thus the design being albino) because male BALB/c scid mice tend to be aggressive and scid specifically because they're bred to be immunocompromised and it felt pretty AM to me, although lab mice in general remind me of AM. I also considered NOD scid, NSG, and c57bl/6 but I think I'll stick with BALB/c scid. I also considered him being a texel (curly haired) mouse because they go through unethical breeding as well (poor things) but again, I think BABLB/c scid works nicely. ALSO!! A detail that I really like is that mouse AM doesn't have whiskers and this is because whiskers are very soo so important in a mouse's sensory experience and AM lacks that so I wanted that to be painfully obvious lol
I'm considering either having AM also turn the survivors into mice as well so he isn't alone in his squeakiness buuut I'm leaning more towards him not being able to do much in a mousey body I'm not a hundred percent sure
Okay ramble over mb runs away
I was going to drop a little rodent in here called a dormouse (which isn't actually a mouse but people just loooove giving random rodents the name mouse or rat for some reason???) but Tumblr is being a little shit right now so that's all enjoy your day Idk
I would help you on your journey with mouse ellen considering this should be an easy job for me. i am the Ellen guy. But there is one eensy weensy problem.
i know nothing about mice. and i am not about to embarrass myself with my surface level plebian mouse knowledge in front of the cool mouse mutual.
on the other hand , your au and your mention of lab mice ( cutest au name ever BTW ) actually reminded me of my IHNMAIMS au because it is incredibly vaguely based on the short story: Flowers for Algernon.
uhh if you, or anyone reading, is/are unaware. "Algernon" is the name of a lab mouse in the short story, who is meant to be a direct parallel to the main character Charlie ( Charles ) Gordon. a mentally disabled man born with a low IQ who undergoes the same experimental procedure as Algernon to artificially increase his intelligence. ive always thought of you ever since I read this story cause. mouse.
it's actually like a really good commentary on the dehumanization of mentally disabled people. and is just , all around a pretty good story. THATS BESIDES THE POINT.
uhh i don't know what else to say I kind of just yapped at you and wanted to tell you abt the thing i find cool. because i think you are cool
here is one of my favorite paragraphs from the story ( blurred out the derogatory term for personal comfort )
ok bye
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A few years ago, during one of California’s steadily worsening wildfire seasons, Nat Friedman’s family home burned down. A few months after that, Friedman was in Covid-19 lockdown in the Bay Area, both freaked out and bored. Like many a middle-aged dad, he turned for healing and guidance to ancient Rome. While some of us were watching Tiger King and playing with our kids’ Legos, he read books about the empire and helped his daughter make paper models of Roman villas. Instead of sourdough, he learned to bake Panis Quadratus, a Roman loaf pictured in some of the frescoes found in Pompeii. During sleepless pandemic nights, he spent hours trawling the internet for more Rome stuff. That’s how he arrived at the Herculaneum papyri, a fork in the road that led him toward further obsession. He recalls exclaiming: “How the hell has no one ever told me about this?”
The Herculaneum papyri are a collection of scrolls whose status among classicists approaches the mythical. The scrolls were buried inside an Italian countryside villa by the same volcanic eruption in 79 A.D. that froze Pompeii in time. To date, only about 800 have been recovered from the small portion of the villa that’s been excavated. But it’s thought that the villa, which historians believe belonged to Julius Caesar’s prosperous father-in-law, had a huge library that could contain thousands or even tens of thousands more. Such a haul would represent the largest collection of ancient texts ever discovered, and the conventional wisdom among scholars is that it would multiply our supply of ancient Greek and Roman poetry, plays and philosophy by manyfold. High on their wish lists are works by the likes of Aeschylus, Sappho and Sophocles, but some say it’s easy to imagine fresh revelations about the earliest years of Christianity.
“Some of these texts could completely rewrite the history of key periods of the ancient world,” says Robert Fowler, a classicist and the chair of the Herculaneum Society, a charity that tries to raise awareness of the scrolls and the villa site. “This is the society from which the modern Western world is descended.”
The reason we don’t know exactly what’s in the Herculaneum papyri is, y’know, volcano. The scrolls were preserved by the voluminous amount of superhot mud and debris that surrounded them, but the knock-on effects of Mount Vesuvius charred them beyond recognition. The ones that have been excavated look like leftover logs in a doused campfire. People have spent hundreds of years trying to unroll them—sometimes carefully, sometimes not. And the scrolls are brittle. Even the most meticulous attempts at unrolling have tended to end badly, with them crumbling into ashy pieces.
In recent years, efforts have been made to create high-resolution, 3D scans of the scrolls’ interiors, the idea being to unspool them virtually. This work, though, has often been more tantalizing than revelatory. Scholars have been able to glimpse only snippets of the scrolls’ innards and hints of ink on the papyrus. Some experts have sworn they could see letters in the scans, but consensus proved elusive, and scanning the entire cache is logistically difficult and prohibitively expensive for all but the deepest-pocketed patrons. Anything on the order of words or paragraphs has long remained a mystery.
But Friedman wasn’t your average Rome-loving dad. He was the chief executive officer of GitHub Inc., the massive software development platform that Microsoft Corp. acquired in 2018. Within GitHub, Friedman had been developing one of the first coding assistants powered by artificial intelligence, and he’d seen the rising power of AI firsthand. He had a hunch that AI algorithms might be able to find patterns in the scroll images that humans had missed.
After studying the problem for some time and ingratiating himself with the classics community, Friedman, who’s left GitHub to become an AI-focused investor, decided to start a contest. Last year he launched the Vesuvius Challenge, offering $1 million in prizes to people who could develop AI software capable of reading four passages from a single scroll. “Maybe there was obvious stuff no one had tried,” he recalls thinking. “My life has validated this notion again and again.”
As the months ticked by, it became clear that Friedman’s hunch was a good one. Contestants from around the world, many of them twentysomethings with computer science backgrounds, developed new techniques for taking the 3D scans and flattening them into more readable sheets. Some appeared to find letters, then words. They swapped messages about their work and progress on a Discord chat, as the often much older classicists sometimes looked on in hopeful awe and sometimes slagged off the amateur historians.
On Feb. 5, Friedman and his academic partner Brent Seales, a computer science professor and scroll expert, plan to reveal that a group of contestants has delivered transcriptions of many more than four passages from one of the scrolls. While it’s early to draw any sweeping conclusions from this bit of work, Friedman says he’s confident that the same techniques will deliver far more of the scrolls’ contents. “My goal,” he says, “is to unlock all of them.”
Before Mount Vesuvius erupted, the town of Herculaneum sat at the edge of the Gulf of Naples, the sort of getaway wealthy Romans used to relax and think. Unlike Pompeii, which took a direct hit from the Vesuvian lava flow, Herculaneum was buried gradually by waves of ash, pumice and gases. Although the process was anything but gentle, most inhabitants had time to escape, and much of the town was left intact under the hardening igneous rock. Farmers first rediscovered the town in the 18th century, when some well-diggers found marble statues in the ground. In 1750 one of them collided with the marble floor of the villa thought to belong to Caesar’s father-in-law, Senator Lucius Calpurnius Piso Caesoninus, known to historians today as Piso.
During this time, the first excavators who dug tunnels into the villa to map it were mostly after more obviously valuable artifacts, like the statues, paintings and recognizable household objects. Initially, people who ran across the scrolls, some of which were scattered across the colorful floor mosaics, thought they were just logs and threw them on a fire. Eventually, though, somebody noticed the logs were often found in what appeared to be libraries or reading rooms, and realized they were burnt papyrus. Anyone who tried to open one, however, found it crumbling in their hands.
Terrible things happened to the scrolls in the many decades that followed. The scientif-ish attempts to loosen the pages included pouring mercury on them (don’t do that) and wafting a combination of gases over them (ditto). Some of the scrolls have been sliced in half, scooped out and generally abused in ways that still make historians weep. The person who came the closest in this period was Antonio Piaggio, a priest. In the late 1700s he built a wooden rack that pulled silken threads attached to the edge of the scrolls and could be adjusted with a simple mechanism to unfurl the document ever so gently, at a rate of 1 inch per day. Improbably, it sort of worked; the contraption opened some scrolls, though it tended to damage them or outright tear them into pieces. In later centuries, teams organized by other European powers, including one assembled by Napoleon, pieced together torn bits of mostly illegible text here and there.
Today the villa remains mostly buried, unexcavated and off-limits even to the experts. Most of what’s been found there and proven legible has been attributed to Philodemus, an Epicurean philosopher and poet, leading historians to hope there’s a much bigger main library buried elsewhere on-site. A wealthy, educated man like Piso would have had the classics of the day along with more modern works of history, law and philosophy, the thinking goes. “I do believe there’s a much bigger library there,” says Richard Janko, a University of Michigan classical studies professor who’s spent painstaking hours assembling scroll fragments by hand, like a jigsaw puzzle. “I see no reason to think it should not still be there and preserved in the same way.” Even an ordinary citizen from that time could have collections of tens of thousands of scrolls, Janko says. Piso is known to have corresponded often with the Roman statesman Cicero, and the apostle Paul had passed through the region a couple of decades before Vesuvius erupted. There could be writings tied to his visit that comment on Jesus and Christianity. “We have about 800 scrolls from the villa today,” Janko says. “There could be thousands or tens of thousands more.”
In the modern era, the great pioneer of the scrolls is Brent Seales, a computer science professor at the University of Kentucky. For the past 20 years he’s used advanced medical imaging technology designed for CT scans and ultrasounds to analyze unreadable old texts. For most of that time he’s made the Herculaneum papyri his primary quest. “I had to,” he says. “No one else was working on it, and no one really thought it was even possible.”
Progress was slow. Seales built software that could theoretically take the scans of a coiled scroll and unroll it virtually, but it wasn’t prepared to handle a real Herculaneum scroll when he put it to the test in 2009. “The complexity of what we saw broke all of my software,” he says. “The layers inside the scroll were not uniform. They were all tangled and mashed together, and my software could not follow them reliably.”
By 2016 he and his students had managed to read the Ein Gedi scroll, a charred ancient Hebrew text, by programming their specialized software to detect changes in density between the burnt manuscript and the burnt ink layered onto it. The software made the letters light up against a darker background. Seales’ team had high hopes to apply this technique to the Herculaneum papyri, but those were written with a different, carbon-based ink that their imaging gear couldn’t illuminate in the same way.
Over the past few years, Seales has begun experimenting with AI. He and his team have scanned the scrolls with more powerful imaging machines, examined portions of the papyrus where ink was visible and trained algorithms on what those patterns looked like. The hope was that the AI would start picking up on details that the human eye missed and could apply what it learned to more obfuscated scroll chunks. This approach proved fruitful, though it remained a battle of inches. Seales’ technology uncovered bits and pieces of the scrolls, but they were mostly unreadable. He needed another breakthrough.
Friedman set up Google alerts for Seales and the papyri in 2020, while still early in his Rome obsession. After a year passed with no news, he started watching YouTube videos of Seales discussing the underlying challenges. Among other things, he needed money. By 2022, Friedman was convinced he could help. He invited Seales out to California for an event where Silicon Valley types get together and share big ideas. Seales gave a short presentation on the scrolls to the group, but no one bit. “I felt very, very guilty about this and embarrassed because he’d come out to California, and California had failed him,” Friedman says.
On a whim, Friedman proposed the idea of a contest to Seales. He said he’d put up some of his own money to fund it, and his investing partner Daniel Gross offered to match it.
Seales says he was mindful of the trade-offs. The Herculaneum papyri had turned into his life’s work, and he wanted to be the one to decode them. More than a few of his students had also poured time and energy into the project and planned to publish papers about their efforts. Now, suddenly, a couple of rich guys from Silicon Valley were barging into their territory and suggesting that internet randos could deliver the breakthroughs that had eluded the experts.
More than glory, though, Seales really just hoped the scrolls would be read, and he agreed to hear Friedman out and help design the AI contest. They kicked off the Vesuvius Challenge last year on the Ides of March. Friedman announced the contest on the platform we fondly remember as Twitter, and many of his tech friends agreed to pledge their money toward the effort while a cohort of budding papyrologists began to dig into the task at hand. After a couple of days, Friedman had amassed enough money to offer $1 million in prizes, along with some extra money to throw at some of the more time-intensive basics.
Friedman hired people online to gather the existing scroll imagery, catalog it and create software tools that made it easier to chop the scrolls into segments and to flatten the images out into something that was readable on a computer screen. After finding a handful of people who were particularly good at this, he made them full members of his scroll contest team, paying them $40 an hour. His hobby was turning into a lifestyle.
The initial splash of attention helped open new doors. Seales had lobbied Italian and British collectors for years to scan his first scrolls. Suddenly the Italians were now offering up two new scrolls for scanning to provide more AI training data. With Friedman’s backing, a team set to work building precision-fitting, 3D-printed cases to protect the new scrolls on their private jet flight from Italy to a particle accelerator in England. There they were scanned for three days straight at a cost of about $70,000.
Seeing the imaging process in action drives home both the magic and difficulty inherent in this quest. One of the scroll remnants placed in the scanner, for example, wasn’t much bigger than a fat finger. It was peppered by high-energy X-rays, much like a human going through a CT scan, except the resulting images were delivered in extremely high resolution. (For the real nerds: about 8 micrometers.) These images were virtually carved into a mass of tiny slices too numerous for a person to count. Along each slice, the scanner picked up infinitesimal changes in density and thickness. Software was then used to unroll and flatten out the slices, and the resulting images looked recognizably like sheets of papyrus, the writing on them hidden.
The files generated by this process are so large and difficult to deal with on a regular computer that Friedman couldn’t throw a whole scroll at most would-be contest winners. To be eligible for the $700,000 grand prize, contestants would have until the end of 2023 to read just four passages of at least 140 characters of contiguous text. Along the way, smaller prizes ranging from $1,000 to $100,000 would be awarded for various milestones, such as the first to read letters in a scroll or to build software tools capable of smoothing the image processing. With a nod to his open-source roots, Friedman insisted these prizes could be won only if the contestants agreed to show the world how they did it.
Luke Farritor was hooked from the start. Farritor—a bouncy 22-year-old Nebraskan undergraduate who often exclaims, “Oh, my goodness!”—heard Friedman describe the contest on a podcast in March. “I think there’s a 50% chance that someone will encounter this opportunity, get the data and get nerd-sniped by it, and we’ll solve it this year,” Friedman said on the show. Farritor thought, “That could be me.”
The early months were a slog of splotchy images. Then Casey Handmer, an Australian mathematician, physicist and polymath, scored a point for humankind by beating the computers to the first major breakthrough. Handmer took a few stabs at writing scroll-reading code, but he soon concluded he might have better luck if he just stared at the images for a really long time. Eventually he began to notice what he and the other contestants have come to call “crackle,” a faint pattern of cracks and lines on the page that resembles what you might see in the mud of a dried-out lakebed. To Handmer’s eyes, the crackle seemed to have the shape of Greek letters and the blobs and strokes that accompany handwritten ink. He says he believes it to be dried-out ink that’s lifted up from the surface of the page.
The crackle discovery led Handmer to try identifying clips of letters in one scroll image. In the spirit of the contest, he posted his findings to the Vesuvius Challenge’s Discord channel in June. At the time, Farritor was a summer intern at SpaceX. He was in the break room sipping a Diet Coke when he saw the post, and his initial disbelief didn’t last long. Over the next month he began hunting for crackle in the other image files: one letter here, another couple there. Most of the letters were invisible to the human eye, but 1% or 2% had the crackle. Armed with those few letters, he trained a model to recognize hidden ink, revealing a few more letters. Then Farritor added those letters to the model’s training data and ran it again and again and again. The model starts with something only a human can see—the crackle pattern—then learns to see ink we can’t.
Unlike today’s large-language AI models, which gobble up data, Farritor’s model was able to get by with crumbs. For each 64-pixel-by-64-pixel square of the image, it was merely asking, is there ink here or not? And it helped that the output was known: Greek letters, squared along the right angles of the cross-hatched papyrus fibers.
In early August, Farritor received an opportunity to put his software to the test. He’d returned to Nebraska to finish out the summer and found himself at a house party with friends when a new, crackle-rich image popped up in the contest’s Discord channel. As the people around him danced and drank, Farritor hopped on his phone, connected remotely to his dorm computer, threw the image into his machine-learning system, then put his phone away. “An hour later, I drive all my drunk friends home, and then I’m walking out of the parking garage, and I take my phone out not expecting to see anything,” he says. “But when I open it up, there’s three Greek letters on the screen.”
Around 2 a.m., Farritor texted his mom and then Friedman and the other contestants about what he’d found, fighting back tears of joy. “That was the moment where I was like, ‘Oh, my goodness, this is actually going to work. We’re going to read the scrolls.’”
Soon enough, Farritor found 10 letters and won $40,000 for one of the contest’s progress prizes. The classicists reviewed his work and said he’d found the Greek word for “purple.”
Farritor continued to train his machine-learning model on crackle data and to post his progress on Discord and Twitter. The discoveries he and Handmer made also set off a new wave of enthusiasm among contestants, and some began to employ similar techniques. In the latter part of 2023, Farritor formed an alliance with two other contestants, Youssef Nader and Julian Schilliger, in which they agreed to combine their technology and share any prize money.
In the end, the Vesuvius Challenge received 18 entries for its grand prize. Some submissions were ho-hum, but a handful showed that Friedman’s gamble had paid off. The scroll images that were once ambiguous blobs now had entire paragraphs of letters lighting up across them. The AI systems had brought the past to life. “It’s a situation that you practically never encounter as a classicist,” says Tobias Reinhardt, a professor of ancient philosophy and Latin literature at the University of Oxford. “You mostly look at texts that have been looked at by someone before. The idea that you are reading a text that was last unrolled on someone’s desk 1,900 years ago is unbelievable.”
A group of classicists reviewed all the entries and did, in fact, deem Farritor’s team the winners. They were able to stitch together more than a dozen columns of text with entire paragraphs all over their entry. Still translating, the scholars believe the text to be another work by Philodemus, one centered on the pleasures of music and food and their effects on the senses. “Peering at and beginning to transcribe the first reasonably legible scans of this brand-new ancient book was an extraordinarily emotional experience,” says Janko, one of the reviewers. While these passages aren’t particularly revelatory about ancient Rome, most classics scholars have their hopes for what might be next.
There’s a chance that the villa is tapped out—that there are no more libraries of thousands of scrolls waiting to be discovered—or that the rest have nothing mind-blowing to offer. Then again, there’s the chance they contain valuable lessons for the modern world.
That world, of course, includes Ercolano, the modern town of about 50,000 built on top of ancient Herculaneum. More than a few residents own property and buildings atop the villa site. “They would have to kick people out of Ercolano and destroy everything to uncover the ancient city,” says Federica Nicolardi, a papyrologist at the University of Naples Federico II.
Barring a mass relocation, Friedman is working to refine what he’s got. There’s plenty left to do; the first contest yielded about 5% of one scroll. A new set of contestants, he says, might be able to reach 85%. He also wants to fund the creation of more automated systems that can speed the processes of scanning and digital smoothing. He’s now one of the few living souls who’s roamed the villa tunnels, and he says he’s also contemplating buying scanners that can be placed right at the villa and used in parallel to scan tons of scrolls per day. “Even if there’s just one dialogue of Aristotle or a beautiful lost Homeric poem or a dispatch from a Roman general about this Jesus Christ guy who’s roaming around,” he says, “all you need is one of those for the whole thing to be more than worth it.”
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AI Writing Improvement Shootout
The remarkable and sometimes dreadful accomplishments of Artificial Intelligence are dominating the news, and a significant part of these advancements certainly affects writing. Today, from my humble desktop, I can ask an AI chat box to write a story about elephants, critique a paragraph, answer a question, flush out a concept, or even complete an English writing homework assignment. And the result? Very impressive.
Let’s break that down. The text output is typically free from grammatical and spelling mistakes. It reads smoothly, makes sense, and the content is usually correct.
I wanted to focus on a single AI chat box ability, improving a document. As a writer, I have not taken advantage of this feature for two reasons. The first is that I have a writing limitation; I require a lot of time. Meaning I need more time than the average person to settle on the best words, arrange them in a way that makes sense to me, and then self-edit my work. What I am doing is getting comfortable with what I have created. Only when I am fully confident do I allow my words to be made public.
Having a chat box completely rearrange everything, use unfamiliar words (not my typical vocabulary), and add or subtract topics goes against my method. I do not want to waste people’s time with words that do not meet my standard.
My second reason is that AI chat box words contain a huge fingerprint, and readers are catching on. We prefer human-written words and are getting upset with AI-generated nonsense.
Still, I thought it would be fun to provide the five most popular chatbots —ChatGPT, DeepSeek, Claude, Meta AI, Google Gemini, and Microsoft Copilot —with a paragraph that needs help. Then, evaluate the results.
Let’s examine one of my first drafts and pick out a dreadful section. Now, hold on. What about my rant about not wanting the public ever to see something I have claimed to have written, but which was generated by AI? Very true. Therefore, I will look elsewhere.
But where? That is easy—fan fiction. Yes, dedicated fans worldwide spend years developing new plots for their favorite franchise characters. Comic books, movies, books, plays, anime, cartoons, video games, board games, and television shows all have sites where fans post their homebrew stories.
Since novice writers often create fan fiction, their words are typically not edited, and the document is likely to be read by a small number of fans. Thus, people who enjoy fan fiction understand that the quality is not the best. Additionally, due to copyright, trademark, and legal concerns, these documents have been released into the public domain. This wealth of less-than-ideal documents makes fan fiction sites the perfect repository for my experiment.
So, I went to
selected two paragraphs, and here is the first: “Sure thing, Captain,” came her reply. “Won’t be a minute!” It wouldn’t be long before the other six members of the motley crew would be down to join him, and Nick took the solitary moments to consider the strange roads that life had led him down to the moment where he stood, sharing the wonder of the infinite cosmos with his closest friends– his family. They were finally free. Free to be their own. It hadn’t always been like that.
My evaluation is that this does not read well. It seems that the author is trying to make something more exciting than it is, resulting in redundant sentences. In the broader context, the voice is weak, the dialogue is campy, and the narrative lacks focus. This paragraph needs a substantial rewrite.
Well, let’s get a professional to evaluate this paragraph. ProWritingAid gave it:
Grammar score 52% (should be 100%)
Style score 100% (should be 100%)
Glue words (unnecessary words) 52% (Should be less than 40%)
The site:
gave it the following:
Flesch Reading Ease 87.68 (Lower is better, indicates grade school)
Gunning Fog Scale Leve 5.7 (A fog score of 5 is readable, 10 is hard, 15 is difficult.)
Flesch-Kincaid Grade Level 3.02 (Requires a third-grade education to read.)
Dale-Chall Score 5.81 (A score of 4.9 or lower indicates the passage is easily readable by the average fourth grade.)
I asked ChatGPT to “Improve the following paragraph for readability.”
“Sure thing, Captain,” she called back. “Won’t be a minute!”
The other six members of the motley crew would be joining him soon, but for now, Nick stood alone, savoring a rare moment of solitude. He let his thoughts drift, reflecting on the strange and winding paths that had brought him here—to this point in space, surrounded by the vastness of the cosmos, sharing it all with his closest friends. His family.
They were finally free. Free to live on their own terms.
It hadn’t always been that way.
My evaluation: This reads better but not great. The writer is still trying too hard. Why are there two small paragraphs? Dramatic effect? I guess. The chatbot added some good details. Here is the analysis:
Grammar score 100%
Style score 55%
Glue words (unnecessary words) 46%
Slow pacing 50%
Flesch Reading Ease 92.09
Gunning Fog Scale Leve 4.92
Flesch-Kincaid Grade Level 1.81
Dale-Chall Score 5.85
For kicks, I asked ChatGPT, “more aggressive update” and got this:
“Sure thing, Captain,” she shouted back. “Give me a sec!”
The rest of the crew—six misfits bound by grit and luck—would be down soon. Until then, Nick stood alone, staring out into the endless stretch of stars. For a fleeting moment, he let himself feel it—the weight of everything they’d survived, the chaos they’d clawed through to get here.
This wasn’t luck. It was earned.
Now, they were free. Truly free. No chains. No orders. No one left to answer to but themselves.
It hadn’t always been that way. But damn, it was now.
My evaluation: I like the added details, and the result reads slightly better; however, there is a clear problem. It reads like AI-generated text and has lost the writer’s voice. And three short paragraphs? Strange…
I have never used Deepseek due to privacy concerns, but since it is ranked #2, I created an account using an email address I check once a year. Here is the result:
“You got it, Captain!” she called back. “Be right there!”
The rest of the crew—all six of them—would join him soon, but for now, Nick stood alone, savoring a rare moment of peace. His thoughts drifted, retracing the strange and winding paths that had led him here—to this quiet corner of the cosmos, surrounded by infinite stars, yet never truly alone. Not with them. His friends. His family.
They were free at last. Free to live as they chose.
But it hadn’t always been that way.
My evaluation: Not much of an improvement, and it added an exclamation point! Boo! Again, the two added short paragraphs. Here is the analysis:
Grammar score 100%
Style score 100%
Glue words (unnecessary words) 47%
Slow pacing 50%
Flesch Reading Ease 97.52
Gunning Fog Scale Leve 4.12
Flesch-Kincaid Grade Level 0.82
Dale-Chall Score 5.29
Since I was there… “more aggressive update”
“Yeah, yeah, Captain—keep your boots on!” she barked back. “I’m moving!”
The rest of the crew would be on his ass soon enough, but for now, Nick stood alone—just him, the void, and the ghosts of every bad call that had dragged them here. No regrets. No turning back. Just the endless black and the six lunatics he called family.
Free. Finally, goddamn free. No chains. No rules. Just whatever the hell they carved out for themselves.
But freedom? Yeah, that shit came with a price. And they’d paid in blood.
My evaluation: This reads a lot better. The redundancy is gone, and some nice added details have been included; it no longer reads like AI-generated text. Yet, there are swear words, which can be a big turn-off. What if this was a church newsletter? The two added paragraphs are longer, which I guess makes them a little more appropriate. The large invented details might clash with other text.
I was unaware of Claude.ai, so I created an account. Here is the result:
“Sure thing, Captain,” she called back. “Won’t be a minute!”
The other six members of the motley crew would be joining him soon, but for now, Nick stood alone, savoring a rare moment of solitude. He let his thoughts drift, reflecting on the strange and winding paths that had brought him here—to this point in space, surrounded by the vastness of the cosmos, sharing it all with his closest friends. His family.
They were finally free. Free to live on their own terms.
It hadn’t always been that way.
My evaluation: There is not much improvement. Again, with the small added paragraphs. I will have to give this some thought. Perhaps short paragraphs are now the rage. Here is the analysis:
Grammar score 100%
Style score 55%
Glue words (unnecessary words) 47%
Slow pacing 50%
Flesch Reading Ease 99.87
Gunning Fog Scale Leve 2.35
Flesch-Kincaid Grade Level 0.53
Dale-Chall Score 5.99
Here is the “more aggressive update” result:
“Sure thing, Captain!” she called back. “Won’t be a minute!”
Nick stood alone, savoring the solitude. Soon the other six would join him, but for now he had this—silence among the stars.
He let his thoughts drift. Strange how life had twisted and turned to bring him here. Floating in the vastness with his closest friends.
His family.
They were free now. Free to live on their own terms.
It hadn’t always been that way.
My evaluation: Better, but it reads choppy. It does not read AI-generated, but now there are six paragraphs wich is overkill. Here is what Gemini AI did:
“Sure thing, Captain,” she called back. “Won’t be a minute!”
The other six members of the motley crew would join him soon. For now, Nick stood alone, savoring a rare moment of solitude. His thoughts drifted, reflecting on the strange, winding paths that had brought him to this point: surrounded by the vastness of space, yet sharing it all with his closest friends. His family.
They were finally free—free to live on their own terms.
It hadn’t always been that way.
My evaluation: There is very little change, except for breaking it into four paragraphs. Here is the analysis:
Grammar score 100%
Style score 100%
Glue words (unnecessary words) 43%
Slow pacing 50%
Flesch Reading Ease 90.04
Gunning Fog Scale Leve 5.45
Flesch-Kincaid Grade Level 2.27
Dale-Chall Score 5.87
Some clear improvement in readability. Here is the “more aggressive update” result:
“Sure thing, Captain,” she called back. “Won’t be a minute!”
The rest of the crew—all six—would shatter this quiet soon enough. For now, Nick stood utterly alone, claiming a precious sliver of silence in the void. His mind plunged, unbidden, down the twisting, improbable spiral of choices and chances that had hurled him here: an infinitesimal speck adrift in the star-dusted abyss, yet anchored to meaning by his friends. His family.
They were free. Finally, fiercely free. Free to forge their own destiny.
Such liberty was a raw, intoxicating thing, almost too new to trust.
My evaluation: This is very similar to the ChatGPT text. It reads better, but it is clear that the AI generated it. Here is what Microsoft Copilot generated:
“Sure thing, Captain!” she called back. “Won’t be a minute!”
For now, Nick stood alone, relishing a rare moment of solitude. Soon, the other six members of their motley crew would join him, but in this brief interlude, he let his thoughts wander. He reflected on the long, twisting journey that had led him here—to this place among the stars, surrounded by the endless expanse of the cosmos, sharing it all with the people who mattered most. His closest friends. His family.
They were free at last. Free to live life on their own terms.
My evaluation: This reads more tightly and has a better flow. It combined the last two sentences into one paragraph, which I like, but added an exclamation point, which I do not. The three paragraphs seem to be a trend. Of all the updates, this was my favorite. Here is the analysis:
Grammar score 100%
Style score 100%
Glue words (unnecessary words) 46%
Slow pacing 33%
Flesch Reading Ease 88.83
Gunning Fog Scale Leve 5.32
Flesch-Kincaid Grade Level 2.36
Dale-Chall Score 6.57
Some improvement on readability. Here is the “more aggressive update” result:
“Sure thing, Captain!” she called back. “Won’t be a minute!”
Nick stood alone, relishing the rare quiet. Soon, the rest of the crew would join him, but for now, it was just him—adrift in the vastness of space, the stars stretching endlessly around him.
They had fought for this. Earned it.
Freedom.
It hadn’t always been that way.
My evaluation: This tightened things up, but I have never been a fan of one-word sentences or tiny paragraphs.
Here is the next paragraph. This time, I will skip the analysis.
“No, of course not. She told me about this place some time ago...before you and I... you know...and I thought it would be, well, fun to spend a few weeks in the early 2000 era. You have to admit, driving the car is exhilarating and these bed and breakfast places have been wonderful. I must tell you though; I didn’t know exactly how it would be. I suppose I took a chance...do you want to go someplace else?”
ChatGPT:
“No, of course not. She told me about this place a while ago—before you and I... well, you know—and I thought it might be fun to spend a few weeks in the early 2000s. You have to admit, driving the car is exhilarating, and these bed-and-breakfast places have been amazing. I’ll be honest, I wasn’t entirely sure what to expect. I guess I took a chance. So... do you want to go somewhere else?”
ChatGPT more aggressive update:
“No, of course not. She mentioned this place a while back—before things started between us—and I figured, why not? A few weeks in the early 2000s sounded like a blast. Come on, driving that car is a rush, and these bed-and-breakfasts have been incredible. I won’t lie—I didn’t know exactly what I was walking into, but I went for it. So, what do you say? Ready to move on, or are you still in?”
Deepseek:
“No, of course not. She told me about this place a while ago... before you and I... well, before everything. I thought it’d be fun to spend a few weeks in the early 2000s. You have to admit—driving that car is exhilarating, and these bed-and-breakfasts have been wonderful.
But I’ll be honest—I wasn’t sure how it’d turn out. I took a chance. If you’re not happy here... we can go somewhere else?”
Deepseek more aggressive update:
“Hell no. She told me about this dump before we got tangled up. Figured it’d be fun to time-jump to the f-ing 2000s - at least the car’s got some balls to it, and the beds are decent.
Look, I didn’t promise you paradise. I took a shot. If you’ve got a problem with it, spit it out. Otherwise quit whining and enjoy the ride, or we can bail right now.”
Note: I edited down the F-word in the above paragraph.
Claude.ai:
“No, of course not. She told me about this place some time ago—before you and I... you know—and I thought it would be fun to spend a few weeks in the early 2000s era. You have to admit, driving the car is exhilarating, and these bed and breakfast places have been wonderful. I must tell you though, I didn’t know exactly how it would be. I suppose I took a chance. Do you want to go someplace else?”
Claude.ai more aggressive update:
“No, of course not. She mentioned this place before we... before us. I thought it’d be fun—a few weeks in the early 2000s. The driving’s exhilarating, right? And these B&Bs have been wonderful. But honestly? I didn’t know what to expect. I took a gamble. Want to go somewhere else?”
Google Gemini:
“No, of course not. She told me about this place a while ago—before you and I... well, you know. I just thought it would be fun to spend a few weeks in the early 2000s. You have to admit, driving that car is exhilarating, and these bed and breakfasts have been wonderful. Honestly, though, I didn’t know exactly what to expect. I suppose I took a chance… Do you want to go somewhere else?”
Google Gemini more aggressive update:
“God, no. She told me about this place ages ago—way before we were a thing. My bright idea, right? A quick dip into the early 2000s, just for kicks. And this car is a blast, you can’t deny it. These B&Bs? Surprisingly sweet. But look, cards on the table: I didn’t really know what this would be. Total shot in the dark. So, if you hate it... seriously, we can pull the plug. Go somewhere else?”
Microsoft Copilot:
“No, of course not. She mentioned this place to me a while ago—before you and I… well, you know. I thought it would be fun to spend a few weeks in the early 2000s. You have to admit, driving that car is exhilarating, and these bed-and-breakfasts have been fantastic.
I’ll be honest—I didn’t know exactly what to expect. I suppose I took a chance.
Do you want to go somewhere else?”
Microsoft Copilot more aggressive update:
“No, of course not. She told me about this place a while ago—before you and I… well, you know. I thought it’d be exciting to spend a few weeks in the early 2000s.
Driving that car? Exhilarating. These bed-and-breakfasts? Fantastic.
The ChatGPT-generated results impressed me; they had a good flow and sounded natural. Wow, Deepseek had a serious potty mouth and desperately needs a “no profanity” setting. The result read raw, but I liked the first result. There are some good improvements.
The Claude.ai did not clean up much on the first pass, but the aggressive results showed good improvement. The aggressive results on Google Gemini read the best. Microsoft Copilot was the only one to break it up into three paragraphs, and then it combined them back in the aggressive update. Strange.
My conclusion is that using AI to clean up a document still has room for improvement, and no chat box stands out as a clear winner. Yes, there were improvements, but flaws were also introduced. This includes added concepts that may not make sense in other parts of the document, micro-paragraphs, swear words, a changed tone, and a clear AI fingerprint.
The universal use of micro-paragraphs deeply confused me.
Does.
Breaking.
A.
Thought.
Into.
Ten.
Paragraphs.
Help.
The.
Reader?
I am going to apply some noodle time to figure that one out. Stay tuned for a future article.
For now, I do not recommend cleaning up a document with AI because the results are too unpredictable. One would think that there would be at least some consistency among the top five chat boxes. All I asked for was to improve the readability, which, in my mind, should be equivalent to accepting all the changes from ProWritingAid, Hemingway, and Grammarly. I expected small but powerful changes. However, facts were added, which is far outside the realm of readability. I would have understood if I had asked the chatbot to make the document more exciting, dramatic, thrilling, romantic, or funny.
Still, I see the potential in augmenting a document with AI, and perhaps in five years, chat boxes will improve to the point where they will be powerful enough to help yet tame enough to trust. For now, I will stick with my trusty keyboard and a bonkers mind to polish my documents.
PS, funny side story. I always run my articles through ProWritingAid and Grammarly. They had many suggested improvements for the AI-generated work, which I did not accept but found amusing that state-of-the-art AI still has grammar issues. And the original two paragraphs? Many suggestions…
You’re the best -Bill
June 04, 2025
Hey, book lovers, I published four. Please check them out:
Interviewing Immortality. A dramatic first-person psychological thriller that weaves a tale of intrigue, suspense, and self-confrontation.
Pushed to the Edge of Survival. A drama, romance, and science fiction story about two unlikely people surviving a shipwreck and living with the consequences.
Cable Ties. A slow-burn political thriller that reflects the realities of modern intelligence, law enforcement, department cooperation, and international politics.
Saving Immortality. Continuing in the first-person psychological thriller genre, James Kimble searches for his former captor to answer his life’s questions. These books are available in softcover on Amazon and in eBook format everywhere
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AI - Solving the Wrong Problems Because It's Cheaper - 325 - 15 February 2024
I've been reading the various opinion pieces on Artificial Intelligence (AI) and I definitely have opinions about what I've read. Here is a short list of some of the highlights of items I've found
AI is a public relations (PR) term for a predictive pattern generator, i.e. a text completion tool. The better term to use is Large Language Model (LLM) for language processing, and image generator for image generation.
AI is the latest attempt by the software industry to automate software development work and other jobs viewed as excessively expensive and easy to automate for businesses
The current models of AI available to the public are meant to present as pleasing eye candy to those who are inexperienced with different questions. When technical experts use the tools, the reports are about the lack of detail and deficiencies in the answers. The answers provide a starting place but not a complete solution for the questions.
AI is being used to solve the wrong problems It's being used this way because it is cheaper and easier than using it to solve the right problems
There are benefits to the current set of AI software models, if they are viewed as tools that need to be mastered instead of replacements for employees
AI is a public relations (PR) term for a fancy search engine
As I've gotten older and perhaps somewhat wiser, I've finally realized that the latest and greatest tech is often referred to using terms that are a good fit for marketing and may or may not be a good fit for the actual technology described. With the latest hullabaloo about AI I have found the same type of hype, that seems meant to better generate buzz and eyeballs on companies instead of describing the technology.
After reading a bit about AI and trying out one of the engines, here is how I would describe this new technology, which isn't all that new. The actual name of the technology, as used in the industry, is Large Language Model (LLM). A LLM is software that is used to predict what the next word, paragraph or other content based on a very large collection of data that has been organized. The software is used to process many various inputs and it is trained to emulate human behavior and write new content based on the information it has organized. For example, if someone asks the question, "What could I eat for breakfast?", the LLM might answer 'cereal', 'bacon and eggs', or 'fruit and roll', based on the dataset it has gathered.
There are problems that can occur when trying to use an LLM to write something like a blog article or a short story. At the current state of the software, it is creating a work based on the probability of the words and without a context that is tied to the real world. The only input is text and guidance from the LLM developers. A human has additional inputs through their senses, and their experiences in addition to information they have read or heard. A human also receives inputs from multiple humans of varying ages and backgrounds, while an LLM would receive limited input from a select set of humans, software developers specializing in the creation of neural networks.
In summary, LLMs are used to predict a probably outcome, not to use knowledge to generate an outcome. This means that the outcome is not original content but a result based on sifting through multiple sources to come up with what appears to be the best fit. As such, an LLM can at best emulate human intelligence in a very limited way. And if it receives new input in the form of questions, it will have limited context to process to find an answer. For example, for the question about breakfast, I asked what it would recommend, I got a fairly complete list of breakfast foods that seem centered on United States cuisine. I had to ask for breakfast and specify a different location in order to get different lists. A human might first ask, "Where do you want to eat breakfast?" before answering so they could have a context for the question. There are factors that we perceive, such as clothing, skin tone, gender and other physical characteristics that might change our answer. With a test LLM, it seems very sure of itself and if it can find an answer, it will provide one, even if it might be wrong.
Which to be fair, humans will also do this. People want to be helpful and it feels better to provide information instead of saying "I don't know." In the end, my assessment is that LLM's or AI as they might be called, are fancier search engines that can find existing data to answer questions, even if the information they provide is incorrect.
AI is the latest attempt by the software industry to automate software development work
Another feature I've seen recommended for AI is writing software. People are worried they might lose their software development job to an AI as they continue to improve in functionality. Based on trends I've seen in my career, I wouldn't be too worried about this as a problem. Here are some examples of attempts to automate software development that are no longer used or only used as a tool by software developers.
Have a few software architects design and write pseudo code that can be implemented by developers. The pseudo code will work perfectly so people with minimal skills can be used at a cheaper cost to implement the software.
Object oriented code will be added to libraries and create a foundation that only a few developers will need to use to develop software programs
Code will be designed to work in modules that do not require integration testing before they are deployed
A high level language will be used that will remove all possibility of errors introduced by developers. (This is a popular theme and based on articles about a new language, seems like it still occurs.
Eventually each language settles down into its niche usage or fades away from lack of use due to complexity/still requires debugging that outweighs its features.
App creation tools for phones will open up programming to anyone who is interested.
I've seen each of these trends come and go, and each one of them was supposed to reduce the number of developers required or reduce the skill level required to create good quality software programs. I'm still waiting for this to work and I don't think software development as a profession is going away any time soon.
AI is being used to solve the wrong problems and It's being used this way because it is cheaper and easier than using it to solve the right problems
Right now AI is used to reduce the time required to search large amounts of stored data. The search results are based on answers that are guessed due to the quantity and context of possible answers. The data itself is not organized, it is left as is and the AI builds a model to use when searching it.
These searches are based on the assumptions that The data is complete
The data is of high quality and covers the majority real world use cases
This model can be used to find data with accuracy approaching 100%
When looking at data that is not clean, it becomes easy to find examples where these assumptions fail. While this sounds like a worthwhile problem, it is also an easy problem for computers to solve, compared to other real world problems. Computers are very good at repetitive functions and searching for matches in an optimized matter is a core part of software development. But these searches are not generating new information, they are only allowing people to be somewhat more efficient at finding data. And if a person does not have skill or experience in generating good questions for AI, even this function is questionable.
There is a lot of money getting spent on this development so it sounds like it is a very expensive pursuit. However, there are other real world problems that would be of greater benefit, in my opinion, that are making little or no progress. Two examples of very hard problems to solve are sewing clothes and harvesting crops. Both activities are low paying and considered to require very little skill. It seems like they would be fields ripe for disruption and replacement by automation.
The reality is that both activities require things that automation does not have, such as
Vision
Manual dexterity
Ability to work in very bad conditions
Judgment
Current automation techniques are building machines that do have a type of vision and which can manipulate objects in the real world. Those machines are not paired with software that can also make quick and correct judgments and work in very bad conditions. If a machine is set to work in a wet, dirty and unsafe environment, it will eventually shut down or possibly break down. The machines have to operate in a very specific set of conditions and require monitoring to ensure they continue functioning. This monitoring is less labor intensive than the labor but it still requires human input. Sadly, a machine has to work in better conditions than a human or it will break down and lose the investment dollars. There are reports that describe the difficulty of generating profit when using technology to farm indoors.
In my opinion, the current efforts of AI are focused on the following goals:
Scrape existing data from as many on-line sources as possible Store the data in a database that is easily searchable Pair it with software that parses questions to search the data for the most populated result which may not be the correct result
This set of goals can easily make use of existing infrastructure and does not require any great innovation to gather data or organize the data for the search results. By great innovation, I am looking at discoveries like the creation of HTML, the microcomputer and other inventions that were a unique combination of existing technology that required insight and experience to develop. AI engines appear to be, in my opinion, simply refinement of existing search methods that is assembled in a user friendlier format to reach a broader audience.
If I were going to develop new tools that I think might be useful, here are a couple of my suggestions
Human reviewed data that is organized by categories. The categories are used to provide context for performing a search. For example, if searching for the word 'tile', there is a context of buying tiles for the kitchen, gaming tiles, historical tile work, or the manufacturing process for kitchen tile. Current search engines will provide the most asked for searches and depend on the user to come up with the correct context to find the term they want. There could be multiple filters selected, such as business versus educational, to help narrow down the results. AI might be used to search and suggest organization, humans would use this as a tool to review and approve/change the suggested categories. I think of this as a role for a type of librarian, one who manages on-line data instead of physical books.
Building algorithms that parse real world data based on input from various sensors. The algorithms would gather data and have self-modifying algorithms to organize the data in some method. Humans would be involved in guiding the algorithms towards societally and morally acceptable methods of parsing the data. The algorithms would have attachments that could interact with the environment that it is gathering data in. If this seems complicated, human children are performing these same activities from birth. Yet we seem to have a lot of difficulty training machines to do the same things that human children learn in the first five years of their life. I would not attach this type of software to the internet, it would be too easy for it to devolve and revert to the current level of AI algorithms that simply search and repeat back what they find. The intent is to have a machine experience parts of the world in the same way as living beings to see if they can respond back in a similar way.
Summary
The latest artificial intelligence algorithms are simply the latest of a set of tools that high level managers and investors see as a way to make money in the short term and not necessarily as tools for long term use. There are long term uses for this type of software, if in my opinion it is viewed as a tool and not a replacement for people and their experience. There are harder problems that if solved could be of great benefit. However, these uses of software would not yield returns as quickly as the current set of short term goals. Even with this short turnaround of return for investment, the software is advertised in ways designed to engage emotions and short circuit rational thought about the use of AI. My recommendation is to wait and see what companies survive the current advertising and pump cycle before investing or predicting how AI will change the world.
References for this article, including opinions from others who write more concisely than I do about AI and its possible impacts.
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This absolutely has to be a social media thing (in addition to a "teens being teens" thing, amongst other factors). While 600 words is only one and a half pages of text at most (at least according to Word Counter, using 12 pt Times New Roman as an example) the way screens are structured, 600 words probably looks like a tl;dr text wall, and that's even if you're allowed on a site that lets you post 600 words at a time.
As an example, Bluesky allows 300 characters per post. Assuming six characters per word (including spaces and punctuation, taken from various search results and also to make relatively easy math) you would need to make a thread of 12 posts to write the 3600 characters that make up those 600 words. Sure, there are ways to abbreviate or emojify or whatever, so you might be able to get your 600-word point across but you're still going to have a bunch of actual adults wanting a thread reader app to unroll everything onto a single screen. The writer may also be inclined to add to their 600 words by adding a summary at the end per social custom, making the thread even longer. And remember, this is just Bluesky; could you imagine (or remember) what 600 words on 140-character Twitter looked like.
Of course, if there wasn't ChatGPT, teens would find ways to avoid writing 600 word essays for homework because teens are still children and don't understand how the skill of writing can be useful long-term. All they know is that they don't want to do things they don't want to do, and thus will seek opportunities to avoid having to do it. It's the academic equivalent of trying to hide your vegetables in a napkin or giving them to your dog instead of eating them yourself. I know I had my fair share of essay topics I didn't care about (my high school English courses liked to do five-paragraph essays within 30 minutes in class. Those were probably closer to 200 words than 600) but I had to do them anyway. But this is a digression. The point was to demonstrate how long 600 words looks on a screen.
But don’t get me wrong. Generative Artificial Intelligence and Predictive Text Engines like ChatGPT are still a problem that needs dealt with. It’s up to all of us to explain and discourage people from using it. What’s frustrating is that algorithmic tools in fact can be useful to improve aspects of life that we don’t like. As much as you probably ignore spellcheck and grammar check (does anyone ever use formatting or markup text?), those are the kind of tools that self-improving algorithms should be used to make or improve. AI shouldn’t be making new things for us, it should be improving the things we are already making. Don’t know what you want to make or how to make it? That should be what human learning is for! I know I’m digressing again, but I feel like this part was more necessary because AI should be decried at every opportunity. However, I cannot go too far away from my original point of how 600 words will look way too long to a teen who isn’t interesting in writing and who usually uses their device of choice to look at social media sites in their free time.
Did you want an example of what 600 words looks like on a screen? According to LibreOffice Writer, this post is exactly 600 words long. How did you feel about seeing this post?
im still losing it over the "how did high schoolers write 600 word essays before chatgpt" post. 600 words. that is nothing. that is so few words what do you mean you can't write 600 words. 600 words. this post right here is 45 words.
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Online Banking Contracts: Securing Digital Finance in Saudi Arabia

The landscape of banking in Saudi Arabia is undergoing a profound digital transformation, driven by increasing consumer demand for convenient online services.
This surge in online banking necessitates a robust framework for online banking contracts, ensuring not only ease of use but, crucially, impregnable security and unwavering legal soundness.
Addressing concerns about private data, fraud prevention, and transaction integrity is paramount for building trust in this digital financial ecosystem.
The Legal Backbone of Online Banking in Saudi Arabia
Banks operating in Saudi Arabia must navigate a specific and evolving legal and regulatory environment to ensure digital contracts are fully compliant and legally enforceable:
SAMA (Saudi Central Bank): Provides overarching guidelines for all banking operations, including digital services and cybersecurity. Adherence to SAMA's Cybersecurity Framework is critical for financial institutions to protect sensitive information assets.
Digital Government Authority (DGA): Sets standards and criteria for electronic signatures and trust services, ensuring their legal validity and reliability across government and commercial transactions.
Saudi Data and Artificial Intelligence Authority (SDAIA): Regulates data protection, with the Personal Data Protection Law (PDPL) mandating secure storage of consumer data, often requiring it to be held within Saudi Arabia.
Electronic Transactions Law (2007) and Evidence Law (2019): These foundational laws officially recognize electronic signatures as legally binding, granting them the same legal weight as traditional wet signatures, provided they adhere to specific DGA standards for identity verification and document integrity.
This robust legal ecosystem ensures that online banking contracts are not just digital documents, but legally enforceable agreements that stand up to scrutiny.
Best Practices for Drafting Online Banking Contracts
Clarity, transparency, and accessibility are fundamental to effective online banking contracts, crucial for fostering customer trust and preventing disputes:
Clear and Transparent Language: Contracts must avoid complex legal jargon. Terms and conditions should be presented in plain, understandable language, enabling customers to fully comprehend their rights and obligations. This clarity minimizes confusion and enhances user experience.
Multilingual Support: Given Saudi Arabia's diverse population, offering contracts in both Arabic and English is highly recommended. This ensures broader understanding and accessibility for a varied customer base, promoting inclusivity and compliance.
User-Friendly Design: Digital contracts should be intuitive and easy to navigate on various devices (smartphones, tablets, desktops). This includes clear headings, concise paragraphs, and easily identifiable sections for key information, enhancing the overall digital customer journey.
The Transformative Power of Electronic Signatures
Electronic signatures (e-signatures) are a cornerstone of legally sound and efficient online banking contracts in Saudi Arabia. They are legally valid when identity verification is performed using government-approved national identity systems like Absher or Nafath. Platforms like Signit integrate directly with these systems, ensuring that e-signatures are not only convenient but also legally enforceable, highly secure, and compliant with local regulations.
Benefits of e-signatures in online banking contracts include:
Legal Validity and Admissibility: E-signatures that meet DGA and SAMA standards hold the same legal weight as traditional wet signatures and are fully admissible as evidence in Saudi courts.
Enhanced Security: Through direct integration with secure national identity verification systems (like Absher/Nafath), e-signatures provide strong authentication, significantly reducing identity fraud and unauthorized access. They are cryptographically bound to the document, making any post-signature alteration detectable.
Speed and Efficiency: E-signatures eliminate the need for physical presence, printing, and mailing. This drastically speeds up crucial banking processes such as account opening, loan applications, and service agreement finalization, leading to faster service delivery.
Improved Customer Experience: Customers can sign documents securely from anywhere, at any time, via their preferred device. This unparalleled convenience aligns with the expectations of the modern digital consumer, fostering satisfaction and loyalty.
Ensuring Robust Security for Online Banking Contracts
Beyond legal validity, advanced security features are critical for online banking contracts to protect highly sensitive financial data:
End-to-End Cryptography: Ensures that all data, both in transit and at rest, is encrypted, making it unreadable to unauthorized parties. This protects against interception and data breaches.
Unalterable Contracts: Once signed electronically, the contract should be designed to be tamper-proof. Any attempt at alteration should invalidate the signature or be immediately detectable through cryptographic seals and audit trails, maintaining the integrity and authenticity of the agreement.
Comprehensive Audit Trails: Robust digital logs record every interaction with the contract, including who accessed it, when, what actions were performed, and the method of identity verification. This provides an undeniable, court-admissible record for compliance and dispute resolution.
Data Residency: Ensuring that all customer data and signed contracts are stored within approved data centers inside Saudi Arabia, in compliance with PDPL requirements, further bolsters trust and regulatory adherence.
These stringent security measures, combined with legal compliance, are fundamental for building and maintaining customer trust, which is the bedrock of the rapidly expanding digital banking sector in the Kingdom.
Conclusion
Online banking contracts are a vital component of Saudi Arabia's digital financial future.
By adhering to a robust legal framework, embracing best practices in drafting for clarity and multilingualism, leveraging the power of legally valid electronic signatures integrated with national identity systems, and implementing stringent security measures, banks can offer secure, efficient, and user-friendly digital services.
This holistic approach ensures customer confidence and drives the continued success of online banking, fully aligning with the Kingdom's Vision 2030 goals for a digitally transformed and secure economy.
For more details on securing your online banking contracts, visit the full article: https://signit.sa/en/online-banking-contracts/
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AI Search Snippets vs. Featured Snippets: Key Differences and Ranking Tips
In the evolving world of search engine optimization (SEO), Google’s search results continue to evolve. Among the many changes, AI search snippets and featured snippets are two of the most noteworthy features transforming how we approach digital content. While they both appear in the search results in a prominent spot, their differences and SEO implications are important to understand.
What are AI Search Snippets?
AI search snippets represent the integration of artificial intelligence into Google’s search results. Unlike traditional featured snippets, which pull from the most relevant content of web pages, AI snippets leverage advanced AI models (like Google's own BERT or MUM) to generate or enhance snippets directly from the context of the search query. These AI-powered snippets can synthesize information from a variety of sources, providing users with more comprehensive, context-aware answers to their queries. Essentially, AI search snippets can answer complex questions with machine-generated responses, pulling relevant information from multiple sources without requiring the user to click through to a website.
What are Featured Snippets?
Featured snippets, on the other hand, have been around longer and are a form of rich snippet that shows up at the top of search results. They are drawn directly from a webpage, typically a portion of the content (such as a paragraph, list, or table) that answers the searcher’s query in a concise and clear manner. Featured snippets are manually curated by Google's algorithms based on the most authoritative and relevant content related to the search term. They can take various forms, such as text-based answers, lists, tables, or even video snippets.
Key Differences Between AI Search Snippets and Featured Snippets
Source of Content: AI search snippets are AI-generated and synthesized from multiple data sources, while featured snippets are directly pulled from specific pages on the web.
Functionality: AI search snippets provide more sophisticated, context-driven answers, often summarizing or combining information across multiple domains. Featured snippets, however, are more direct quotes from a single authoritative source.
SEO Impact: With AI snippets, the source of the information might not always be a single webpage but could pull from across the web, making it harder for individual pages to capture the traffic. Featured snippets, on the other hand, often result in a click-through to the website that holds the featured content.
Ranking Tips for AI Search Snippets and Featured Snippets
Optimize for Long-Tail Keywords: AI search snippets tend to answer complex, long-tail queries. By optimizing your content for specific, detailed questions, you increase the chances of being selected for an AI snippet.
Focus on Clarity: Featured snippets are often pulled from concise, clear answers. Make sure your content is easy to read, well-structured, and provides answers in a format like bullet points or numbered lists.
Leverage Structured Data: Google loves structured content. Whether you’re aiming for an AI or featured snippet, using schema markup and structured data will help your content stand out to Google’s AI models.
Use Quality Content: Both AI and featured snippets prioritize authoritative and well-written content. Focus on providing value and answering users’ questions with high-quality information.
In conclusion, AI search snippets and featured snippets both play crucial roles in search results, but their differences in how they retrieve and display information demand slightly different SEO strategies. By understanding these differences and optimizing for both, you can improve your visibility and increase your chances of being featured at the top of the search results.
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Stay Ahead with Desklib’s Free AI Detection Tool – Your Secret Weapon for Authentic Writing
In a world where artificial intelligence is becoming increasingly embedded in our daily writing tasks, distinguishing between human and machine-generated content has become a challenge. Whether you're a student, academician, or content creator, ensuring your work is original and free from AI influence is essential.
That’s where Desklib steps in with its powerful AI content detection tool—designed to help users confidently detect AI-written content and maintain integrity across all forms of written communication.
Why You Need an AI-Generated Content Checker
With platforms like ChatGPT, Jasper, and other AI writers gaining popularity, it's easy for content to slip through unnoticed as AI-generated. But when it comes to academics, publishing, or professional writing, passing off AI-written material as your own can have serious consequences—from plagiarism accusations to reputational damage.
This is where Desklib’s AI text detector becomes invaluable. It acts as both an AI plagiarism checker and an originality checker, offering peace of mind that your work is truly yours—or helping you verify the authenticity of someone else’s.
How Desklib’s AI Detection Tool Works
Using Desklib’s AI detection tool is simple and fast:
Upload your document – whether it's an essay, research paper, blog post, or report.
Let the system analyze your text using advanced algorithms.
Receive a clear, downloadable report showing the percentage of AI-generated content in your file.
What sets Desklib apart is its chunking method —it breaks down text into overlapping segments to better understand context and generate more accurate results. This ensures even the most subtle signs of AI involvement don’t go unnoticed.
Features That Make Desklib Stand Out
Free to Use: No hidden charges or subscription fees.
Supports Long Documents: Check papers up to 20,000 words long.
Multiple Detection Modes: Choose from Section Wise, Paragraph Wise, or Full Text analysis.
Private & Secure: Files are deleted after analysis—no data stored.
Who Can Benefit?
Desklib’s AI-generated content checker is ideal for:
Students: Ensure your assignments are 100% original.
Educators: Quickly screen student submissions for AI use.
Writers & Bloggers: Verify your content before publication.
Professionals: Confirm the authenticity of business reports or proposals.
Final Thoughts
As AI continues to reshape how we write, tools like Desklib’s AI content detection service are not just helpful—they’re essential. Whether you're creating content or reviewing it, having access to a reliable AI detection tool helps preserve the value of original thought and creativity.
Ready to Test Your Content?
Visit https://desklib.com/ai-content-detector/ today and start checking your documents for AI-generated content—completely free and in seconds!
#AI content detection#detect AI-written content#AI plagiarism checker#AI-generated content checker#AI text detector#originality checker#AI detection tool
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Best AI Tools Review in 2025: Top AI Tools for SEO and Digital Success
As we step deeper into the digital era, the influence of artificial intelligence (AI) in search engine optimization (SEO) and digital marketing has become undeniable. Businesses, bloggers, and marketers are constantly on the hunt for tools that can make their workflow more efficient and their content more impactful. In this detailed AI tools review, we dive into the best AI tools for SEO that are shaping 2025 and beyond.
Whether you're a content creator, agency owner, or SEO enthusiast, this guide will provide clarity on the best AI tools review in 2025 with data-backed insights and real-world use cases.
Why You Need AI Tools for SEO in 2025
SEO has evolved rapidly. Gone are the days when stuffing keywords and backlink exchanges were enough to rank. Google now rewards high-quality content, user intent, and technical precision. This is where AI tools for SEO step in — automating tedious tasks, analyzing massive data sets, and optimizing content creation to save time and boost results.
With the rise in competition, relying solely on traditional SEO methods is no longer sufficient. You need smarter tools with predictive algorithms, machine learning capabilities, and real-time analytics — all of which AI tools now offer.
Top Benefits of Using AI Tools for SEO
Keyword Research Made Easy: AI tools generate high-ranking keywords based on competitor analysis and current search trends.
Automated Content Generation: Save hours by generating outlines, paragraphs, or entire articles in seconds.
Improved Technical SEO: Identify and fix broken links, duplicate content, and indexing issues with automation.
SERP Tracking: Monitor your rankings daily and get predictive trends to adjust your strategy.
Voice & Image SEO: AI tools now optimize for voice search and even analyze image alt-texts and metadata.
Top 5 AI Tools for SEO in 2025
Here's our expert-curated list based on functionality, affordability, and performance.
1. Surfer SEO
Surfer SEO continues to dominate the AI tools for SEO category in 2025. It uses NLP algorithms to evaluate top-performing articles and offers real-time suggestions for keyword density, headings, word count, and more.
Why it stands out:
2. Jasper AI
Jasper is a popular AI writing assistant that works seamlessly with SEO tools like Surfer. It’s a must-mention in any AI tools review, thanks to its ability to generate human-like content optimized for search engines.
Why it stands out:
3. Frase.io
Frase is perfect for content briefs and FAQs. It pulls top-ranking SERP content and helps you structure articles that actually rank.
Why it stands out:
4. Writesonic
Writesonic is a fast-growing AI tool praised in many best AI tools review in 2025 articles. It’s known for blog generation, ad copy, and product descriptions with SEO optimization features.
Why it stands out:
5. NeuronWriter
NeuronWriter is a hidden gem for those who want both affordability and power. It focuses on semantic SEO, using AI to suggest LSI keywords and NLP concepts.
Why it stands out:
Case Study: Boosting Rankings with AI Tools
A content agency used a combination of Surfer SEO and Jasper AI to revamp 50 blog posts. Within 3 months, they saw a 47% increase in organic traffic and landed 30 new first-page keyword rankings. This proves that using the best AI tools for SEO isn't just about saving time — it's about delivering measurable results.
AI Tools Review Summary: Which Tool Should You Choose?
If you're a content writer, Jasper AI paired with Surfer SEO is a great combo. For SEOs who prioritize data and SERP analysis, Frase.io and NeuronWriter are ideal. For all-in-one functionality with affordability, Writesonic wins.
In conclusion, 2025 is clearly the year where AI dominates digital marketing. From our comprehensive AI tools review, it's evident that choosing the right AI companion can transform your strategy. For businesses serious about SEO, these are the tools you cannot ignore.
Final Thoughts on the Best AI Tools Review in 2025
Whether you are an agency scaling content or a solo blogger trying to rank on Google, AI is now your best ally. The best AI tools review in 2025 shows that these technologies not only save time but drastically enhance performance. Don’t get left behind — embrace the future of SEO.
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ZeroGPT AI Detector: The Most Reliable AI Checker to Verify If Content Is AI Generated
In today’s digital world, artificial intelligence (AI) is transforming the way we work, write, and create. AI-powered tools like ChatGPT and other large language models are capable of generating high-quality text in seconds. While this opens doors to endless possibilities in productivity and creativity, it also creates new challenges—chief among them being content authenticity. How can we verify whether a piece of content was written by a human or generated by an AI model?
Enter the ZeroGPT AI Detector, a powerful and easy-to-use IA checker designed to answer questions like “Is it AI generated?” and “Is this text AI generated?” Whether you’re a teacher, editor, business owner, or concerned reader, knowing the origin of the content you’re reading or publishing has never been more important.
This article explores the growing need for AI detection, how tools like ZeroGPT can help, and why understanding whether content is AI-generated is essential in our digital age.
The Rise of AI in Content Creation
Over the past few years, AI has made tremendous leaps in natural language processing (NLP). Tools like ChatGPT, Bard, and Claude can now write essays, articles, resumes, poems, and more with surprising fluency and accuracy. For many, these tools are game-changers—boosting productivity, reducing workload, and enabling new forms of creativity.
But with this rise in AI-generated content comes an inevitable question: Is it AI generated?
For example:
A professor reviewing a student’s paper might wonder, “Is this text AI generated?”
A hiring manager reading a cover letter may question its authenticity.
A content editor evaluating guest submissions may need an AI checker to ensure the work isn’t 100% AI-written.
That’s where tools like the ZeroGPT AI Detector prove invaluable.
Why Does It Matter If Text Is AI Generated?
There’s nothing inherently wrong with using AI to assist with writing. In fact, it’s becoming standard in many industries. However, in certain situations, it’s critical to determine whether content was created by a human or a machine.
Here’s why:
Academic Integrity: Students using AI to complete assignments may violate academic honesty policies.
Hiring and Recruitment: Employers want to evaluate candidates’ communication skills—not just their ability to prompt an AI.
Content Authenticity: Publishers and bloggers need original, human-generated insights to stand out and provide value.
Legal and Ethical Responsibility: Misinformation, biased outputs, and false claims can sometimes be generated by AI. Detecting and fact-checking such content is essential.
In all of these cases, being able to say with confidence whether content was written by AI is more than helpful—it’s necessary.
What Is an AI Checker?
An AI checker is a tool designed to analyze a given piece of text and determine whether it was written by a human or generated by artificial intelligence. These tools work by evaluating linguistic patterns, sentence structures, word choices, and other statistical indicators that are typically present in machine-generated content.
While some basic checkers offer only surface-level results, more advanced tools—like the ZeroGPT AI Detector—use deep learning and natural language models trained on millions of samples to provide high-accuracy predictions.
So, next time you’re looking at an email, article, essay, or report and asking, “Is it AI generated?” an AI checker like ZeroGPT can give you a data-driven answer.
Introducing the ZeroGPT AI Detector
The ZeroGPT AI Detector is one of the most trusted tools available today for identifying AI-generated content. Built using state-of-the-art algorithms and trained on massive datasets, it delivers highly accurate results while maintaining a simple, user-friendly interface.
Whether you’re scanning a short paragraph or an entire blog post, ZeroGPT gives you clear, real-time answers to the question: “Is this text AI generated?”
Key Features:
Real-Time Detection: Paste your text and get immediate feedback.
User-Friendly Interface: No technical skills required.
Multilingual Support: Works with multiple languages.
Privacy First: Your data is not stored or shared.
Advanced Algorithms: Optimized to detect even subtle AI writing patterns, especially those from ChatGPT and similar models.
Unlike many other tools that offer vague or inconclusive answers, the ZeroGPT AI Detector provides a straightforward percentage breakdown, helping users quickly determine the likely source of the content.
Who Needs an AI Checker?
The use cases for an AI checker are growing daily. Here are just a few examples of how ZeroGPT is being used:
Educators
Teachers and professors use ZeroGPT to uphold academic standards. When a student submits suspiciously perfect prose, the AI detector helps determine if it’s truly original.
HR Departments
Hiring managers use AI checkers to verify that resumes and cover letters reflect a candidate’s own communication skills, not just the result of a ChatGPT prompt.
Content Creators and Editors
Bloggers, editors, and journalists use the ZeroGPT AI Detector to ensure submitted work meets originality standards and hasn’t been overly generated by AI.
Legal and Compliance Teams
Companies in sensitive sectors like healthcare, finance, or law use AI checkers to ensure the text complies with regulations and hasn’t been generated with misleading or incomplete AI content.
Researchers and Students
Academic researchers use ZeroGPT to verify that literature reviews, summaries, or AI-assisted papers include original human insight.
How to Use the ZeroGPT AI Detector
Using ZeroGPT is simple:
Visit https://www.zerogpt.com
Paste your text into the box provided.
Click “Detect Text”.
View the result, which will tell you whether the text is likely AI-generated, human-written, or a combination of both.
That’s it. No software downloads. No lengthy wait times. Just fast, reliable detection.
Accuracy and Limitations
While ZeroGPT is one of the most accurate tools available, it’s important to note that no AI checker can guarantee 100% accuracy. Language models evolve quickly, and detecting perfectly blended human-AI content can sometimes be challenging.
However, by using ZeroGPT in combination with human judgment, content reviewers can make significantly more informed decisions. Its consistent reliability makes it a must-have tool for anyone who regularly works with digital content.
The Future of AI Detection
As AI models become more human-like in their outputs, AI checkers must evolve too. ZeroGPT is continuously updating its detection model to stay ahead of advancements in natural language generation, ensuring it can reliably identify AI-generated content—even when it closely mimics human writing.
In the near future, AI detection tools may also integrate with plagiarism checkers, SEO tools, and academic platforms to provide a full-spectrum content verification system.
Final Thoughts: AI Checker Tools Are Essential in the AI Age
In a world where generative AI is becoming ubiquitous, knowing how to spot AI-generated content is crucial. Whether you're a teacher trying to maintain academic honesty, a business leader wanting original ideas, or a content manager committed to quality, asking questions like “Is it AI generated?” or “Is this text AI generated?” should become standard practice.
With the ZeroGPT AI Detector, you have a powerful, reliable, and fast AI checker at your fingertips. It’s the smart way to keep content transparent, authentic, and accountable in an increasingly automated world.
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Online Banking Contracts: Securing Digital Finance in Saudi Arabia

The landscape of banking in Saudi Arabia is undergoing a profound digital transformation, driven by increasing consumer demand for convenient online services. This surge in online banking necessitates a robust framework for online banking contracts, ensuring not only ease of use but, crucially, impregnable security and unwavering legal soundness.
Addressing concerns about private data, fraud prevention, and transaction integrity is paramount for building trust in this digital financial ecosystem.
The Legal Backbone of Online Banking in Saudi Arabia
Banks operating in Saudi Arabia must navigate a specific and evolving legal and regulatory environment.
The framework ensures consumer protection and system integrity:
SAMA (Saudi Arabian Monetary Authority): Provides overarching guidelines for banking operations, including digital services.Digital
Government Authority (DGA): Sets standards and criteria for electronic signatures, crucial for the legal validity of online contracts.Saudi Data and
Artificial Intelligence Authority (SDAIA): Regulates data protection, with the Personal Data Protection Law (PDPL) mandating secure storage of consumer data, often requiring it to be held within Saudi Arabia.Electronic
Transactions Law: Central to this framework, it officially recognizes electronic signatures as legally binding, provided they adhere to DGA standards.
This robust legal ecosystem ensures that online banking contracts are not just digital documents, but legally enforceable agreements.
Best Practices for Drafting Online Banking Contracts
Clarity, transparency, and accessibility are fundamental to effective online banking contracts:
Clear and Transparent Language: Contracts must avoid complex legal jargon. Terms and conditions should be presented in plain, understandable language, enabling customers to fully comprehend their rights and obligations. This fosters trust and reduces potential disputes.
Multilingual Support: Given Saudi Arabia's diverse population, offering contracts in multiple languages (primarily Arabic and English) is highly recommended. This ensures broader understanding and compliance across varied customer demographics.
User-Friendly Design: Digital contracts should be easy to navigate on various devices, with clear headings, concise paragraphs, and intuitive interfaces.
The Transformative Power of Electronic Signatures
Electronic signatures (e-signatures) are a cornerstone of legally sound and efficient online banking contracts in Saudi Arabia. They are legally valid when verified by government-approved national identity systems like Absher or Nafath.
Platforms like Signit integrate directly with these systems, ensuring that e-signatures are not only convenient but also legally enforceable and highly secure.
Benefits of e-signatures in online banking contracts include:
Legal Validity and Admissibility: E-signatures that meet DGA standards hold the same legal weight as traditional wet signatures and are admissible as evidence in court.
Enhanced Security: Through integration with secure identity verification systems (like Absher/Nafath), e-signatures provide strong authentication, significantly reducing identity fraud.
Speed and Efficiency: They eliminate the need for physical presence, printing, and mailing, drastically speeding up processes like account opening, loan applications, and service agreements.
Improved Customer Experience: Customers can sign documents securely from anywhere, at any time, via their preferred device, offering unparalleled convenience.
Ensuring Robust Security for Online Banking Contracts
Beyond legal validity, advanced security features are critical for online banking contracts to protect sensitive financial data:
End-to-End Cryptography: Ensures that all data transmitted and stored is encrypted, making it unreadable to unauthorized parties.
Unalterable Contracts: Once signed electronically, the contract should be designed to be tamper-proof. Any attempt at alteration should invalidate the signature or be immediately detectable, maintaining the integrity of the agreement.
Audit Trails: Comprehensive digital logs track every interaction with the contract, providing an undeniable record of who accessed it, when, and what actions were performed.
These security measures, combined with legal compliance, build and maintain customer trust, which is the bedrock of digital banking.
Conclusion
Online banking contracts are a vital component of Saudi Arabia's digital financial future.
By adhering to a robust legal framework, embracing best practices in drafting for clarity and multilingualism, leveraging the power of legally valid electronic signatures integrated with national identity systems, and implementing stringent security measures, banks can offer secure, efficient, and user-friendly digital services.
This holistic approach ensures customer confidence and drives the continued success of online banking, fully aligning with the Kingdom's Vision 2030 goals for a digitally transformed economy.
For more details on securing your online banking contracts, visit the full article: https://signit.sa/en/online-banking-contracts/
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Google AI Overview Impact on SEO | Organic Rankings Drop After Core Update

Many businesses have recently noticed big changes in their website traffic. One of the main reasons behind this shift is the Google AI Overview impact on SEO. Combined with the recent updates made by Google to its core algorithm, this change has caused a significant organic ranking drop after core update for many websites.
This blog will help you understand why this is happening and what you can do to handle it better.
What is Google AI Overview (SGE)?
Google AI Overview, also known as SGE (Search Generative Experience), is a new feature in Google Search. It uses artificial intelligence to give users direct answers to their questions at the top of the search results page. Instead of showing only links to websites, Google now gives an AI-generated answer.
So, if someone searches for "how to start a blog," they might get a full AI response at the top before seeing any regular links. This change has a huge Google AI Overview impact on SEO, especially for businesses that rely on top organic rankings to bring in traffic.
Recent Core Update Summary
In the last few months, Google made several updates to how its search engine ranks content. These updates are called "core updates." They affect all websites, no matter what type of content they offer.
The goal of core updates is to show users better quality content. But the result has been a major organic ranking drop after core update for many sites. Even websites with strong content and authority have seen traffic loss. When this update is mixed with AI Overview, it becomes even more difficult to stay visible on search results.
Overlap Between AI Overview and Organic Results
One of the biggest issues now is the reduced overlap between AI answers and regular organic search results. Before, if you ranked #1 for a keyword, you were almost sure to get traffic. Now, even if you are #1, Google’s AI response might appear first and take the user's attention.
The Google AI Overview impact on SEO is that it reduces clicks on top-ranking pages. Users often get the answer from AI without scrolling further. This change means fewer people click on your website, even if your page is at the top.
Impact on SEO and Publishers
Let’s talk about how this affects businesses and content creators. If you run a blog, an eCommerce store, or offer services online, your traffic may have gone down. You might not be getting the same number of leads or sales.
This drop isn’t always because your content got worse. Instead, it’s because of the organic ranking drop after core update and the way Google now shows results with AI answers.
The Google AI Overview impact on SEO has changed how users behave. They spend less time clicking and more time reading the AI-generated text. For many websites, this means lower click-through rates, even when rankings stay the same.
Strategic Takeaways: How to Adapt
Now that you know the problem, it’s time to focus on solutions. Here’s what you can do to reduce the effect of the Google AI Overview impact on SEO and recover from the organic ranking drop after core update:
Answer Questions Directly – Write content that answers questions clearly and quickly. AI is picking up short, direct answers.
Use Proper Structure – Use headings, bullet points, and short paragraphs. This helps your content stay clear and easy to read.
Focus on E-E-A-T – Show experience, expertise, authority, and trust in your content. Google prefers trustworthy sources.
Target Long-Tail Keywords – These are more specific and have less competition. AI responses often don’t cover these in detail.
Include Fresh, Original Data – Google favors content that offers unique value.
Use Schema Markup – Help search engines understand your content better by adding structured data.
Optimize for Featured Snippets – Try to appear in the short summary boxes that show up in search results.
By taking these steps, you can reduce the negative Google AI Overview impact on SEO and handle the organic ranking drop after core update better.
Tools and Resources
To monitor your website performance and make smart changes, use the following tools:
Google Search Console – Track keyword rankings and check for AI-related changes
Semrush / Ahrefs – See where your rankings dropped and get keyword ideas
Surfer SEO – Optimize your content to match what top-ranking pages are doing
Screaming Frog – Find technical SEO issues that might hurt your performance
These tools can help you track the Google AI Overview impact on SEO and check how badly the organic ranking drop after core update affected your site.
Final Thoughts
It’s true that the Google AI Overview impact on SEO has created new challenges. But with smart planning and the right tools, you can still get good traffic from Google.
The organic ranking drop after core update has hit many websites. But it also means that there is a chance for those who work smarter to get ahead. By focusing on quality, clarity, and user intent, you can improve your visibility.
If your website has been affected and you want help improving your SEO, reach out to our team. We offer services that are built for this new change in Google’s system. Let’s bring your rankings and traffic back—stronger than before.
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How to Optimize for Bing AI & Google SGE
The search landscape is changing with the rise of AI-powered search engines. Both Bing AI and Google SGE (Search Generative Experience) are revolutionizing how users interact with search results. Traditional SEO strategies are evolving, and businesses must adapt to stay ahead. If you're looking for a search engine optimisation company Singapore, it's essential to understand how these AI-driven search platforms work. Optimizing for them requires a mix of high-quality content, structured data, and a deep focus on user intent.
Understanding Bing AI & Google SGE
What is Bing AI?
Bing AI is Microsoft’s artificial intelligence-powered search engine that integrates ChatGPT-like responses into search results. It offers detailed, conversational answers instead of just listing links. Bing AI focuses on:
AI-generated summaries for search queries
Interactive chat-based search experiences
More personalized and context-aware search results
What is Google SGE?
Google SGE (Search Generative Experience) is Google's AI-powered search upgrade. It enhances traditional search results with AI-generated summaries and insights. Google SGE aims to:
Provide direct, AI-driven answers above traditional search results
Reduce the need for users to visit multiple websites
Enhance search with visual and interactive elements
Key Strategies to Optimize for Bing AI
Leverage Conversational Content
Bing AI prioritizes natural, conversational answers.
Write content that mimics human speech and answers common queries directly.
Use Schema Markup
Structured data helps Bing AI understand your content better.
Implement schema for articles, FAQs, and business details.
Focus on E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness)
Bing AI favors well-researched, credible content.
Ensure your website demonstrates expertise in your industry.
Optimize for Microsoft Ecosystem
Bing is deeply integrated with Windows, Edge browser, and Microsoft Office.
Ensure your site performs well on Edge and is indexed on Bing Webmaster Tools.
Enhance Visual Content
Bing AI prefers engaging, media-rich content.
Use high-quality images, infographics, and videos to improve visibility.
Key Strategies to Optimize for Google SGE
Create AI-Friendly Content
Google SGE prioritizes well-structured, detailed answers.
Use concise paragraphs and bullet points to make your content easy to extract.
Target Question-Based Searches
AI-driven search heavily relies on answering direct user questions.
Include FAQs and natural-sounding questions in your content.
Improve Page Speed & Mobile Experience
Google SGE ranks mobile-optimized, fast-loading sites higher.
Use responsive design and optimize images to improve performance.
Optimize for Featured Snippets
Google SGE relies on featured snippets to generate AI summaries.
Structure content with clear headings, bullet points, and direct answers.
Strengthen Your Brand Authority
AI search rewards websites with strong authority and trust.
Gain high-quality backlinks and establish a strong online reputation.
Why This Matters for Businesses
As AI search becomes more common, businesses must rethink traditional SEO strategies. If you’re searching for a search engine optimisation company Singapore, choose one that understands AI-driven search trends. Optimizing for Bing AI and Google SGE ensures your content remains visible, relevant, and competitive in this new era of search.
Conclusion
The future of SEO is AI-driven. Bing AI and Google SGE are transforming search by prioritizing direct answers, interactive experiences, and high-quality content. Businesses that adapt will stay ahead, while those that rely on outdated SEO tactics may struggle. By optimizing for AI-powered search, you can boost your visibility and drive more organic traffic. If you're looking for a search engine optimisation company Singapore, make sure they specialize in AI-driven strategies to maximize your search success.
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The Future of Content Integrity: AI Content Detection with Desklib
In the digital age, where information flows like a raging river and content creation has become as common as morning coffee, the line between human ingenuity and artificial intelligence (AI) has begun to blur. This blend of human and machine-generated content has given rise to a pressing need for tools that can distinguish between the two, ensuring the authenticity and originality of written work. Enter Desklib's AI Content Detector, a groundbreaking tool designed to meet this need head-on.
The Rise of AI in Content Creation
AI has revolutionized the way we interact with technology and information. From chatbots that provide instant customer service to algorithms that generate news articles, AI's role in content creation is undeniable. While AI brings numerous benefits, such as efficiency and scalability, it also poses challenges. One of the most significant concerns is the potential for AI-generated content to be used inappropriately, leading to issues like plagiarism and a lack of originality.
Introducing Desklib's AI Content Detector
Desklib's AI Content Detector is a free, accurate, and private tool that helps students, educators, and content creators identify AI-generated content in their essays, academic papers, and other written assignments. This innovative tool is designed to analyze sections or chunks of text, providing a detailed assessment of AI involvement. Whether you're a student submitting a thesis, a blogger looking to ensure originality, or an educator verifying the authenticity of assignments, Desklib's AI Content Detector is your go-to solution.
How the AI Content Detector Works
The magic of Desklib's AI Content Detector lies in its advanced algorithm. The tool works by breaking down the text into smaller, overlapping segments or chunks. Each chunk is meticulously analyzed for AI content, scored, and then averaged to enhance accuracy. This overlapping chunk method provides additional context for each segment of text, leading to more accurate and reliable detection of AI-generated content. The tool then classifies the text as either AI-generated or human-written, providing an overall AI content percentage in an instant downloadable report.
Versatility in Document Types
One of the standout features of Desklib's AI Content Detector is its versatility. It is suitable for checking various types of documents, including class assignments, essays, reports, blogs, dissertations, and theses. Whether you're working on a short blog post or a lengthy dissertation, the AI Content Detector can handle it all. The tool allows for submissions of up to 20,000 words, making it ideal for checking entire dissertations, theses, or other long-form academic content.
Accuracy and Reliability
When it comes to academic content, accuracy is paramount. Desklib's AI Content Detector is highly accurate, thanks to its advanced algorithm that considers the context of overlapping text segments during analysis. This ensures that the tool can reliably distinguish between AI-generated content and human-written text. The instant downloadable report provided by the tool clearly highlights the AI-detected content, making it easy for users to review and understand which sections of their text might be AI-generated.
Customization and User Control
Desklib's AI Content Detector offers users the flexibility to choose how their documents are analyzed. Users can select from different detection types: Section Wise (default), Paragraph Wise, or Full Text, depending on their preference for how the text should be analyzed. This level of customization allows users to tailor the tool to their specific needs, ensuring the most accurate results for their unique content.
Privacy and Security
In an age where data privacy is a major concern, Desklib's AI Content Detector stands out for its commitment to user privacy. All content analyzed by the AI Detector remains private, and the results are not shared or stored after the analysis is completed. This ensures that users can trust the tool with their sensitive academic and creative work without worrying about potential data breaches or misuse of their content.
Speed and Efficiency
Time is of the essence, especially for students and professionals with tight deadlines. Desklib's AI Content Detector provides an instant report after the analysis is completed, allowing users to quickly review the AI-generated content within their study-documents. This speed and efficiency make the tool an invaluable asset for anyone looking to ensure the originality and authenticity of their written work.
Beyond Academic Use
While Desklib's AI Content Detector is a powerful tool for academic content, its applications extend far beyond the classroom. The tool can also be used for checking blogs, reports, and other types of written content to ensure originality and authenticity. Whether you're a content creator looking to maintain your brand's integrity or a professional ensuring the accuracy of your reports, the AI Content Detector is a versatile and reliable solution.
The Importance of Originality
In a world saturated with information, originality is more important than ever. Whether you're a student striving for academic excellence or a content creator looking to stand out, ensuring that your work is genuinely yours is crucial. Desklib's AI Content Detector helps you achieve this by providing a reliable way to detect
and maintain the integrity of your work.
Conclusion
Desklib's AI Content Detector is more than just a tool; it's a guardian of content integrity in the digital age. By providing a free, accurate, and private way to detect AI-generated content, it empowers students, educators, and content creators to maintain the authenticity and originality of their work. With its advanced algorithm, customizable analysis options, and commitment to user privacy, the AI Content Detector is a must-have tool for anyone looking to navigate the complex landscape of AI and human content creation.
So, whether you're submitting a thesis, publishing a blog, or verifying the authenticity of an assignment, trust Desklib's AI Content Detector to be your reliable partner in ensuring content integrity. Visit Desklib's today and take the first step towards a more authentic and original digital world.
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