#Benefits of taking artificial intelligence course

[nan0-sp1der]

␂ > 𝐂𝐥𝐨𝐬𝐞𝐝 𝐒𝐭𝐚𝐫𝐭𝐞𝐫 // @lyrate-lifeform-approximation , @spiderman2-99

There’s a thought stirring in Bridge’s mind. An idea rolling about and nudging against the capacitors in her head, poking and prodding incessantly to get her attention, “Hey, hey, you know you want to ask her. Don’t you? Don’t lie to yourself, now. You should just do it. Hey! Are you listening to me? Hello-o…?”

Yes. Yes, she knows, she is aware of her burning curiosity. And it’s hard to deny that even though it doesn’t involve her, she is unusually intrigued by the concept. She overheard them in his office, Miguel and LYLA–his A.I. assistant–discussing a plan.  A plan to create a physical form for LYLA to enhance her abilities as his assistant and grant her further autonomy beyond her access to the security network and other adjacent systems alongside her recent emergence into emotional intelligence. It was all so fascinating. The steps Bridge had taken herself in her development in the span of weeks, she was watching unfold in another intelligence in real-time.

There it was again. That sense of solidarity in knowing she wasn’t completely alone in her existence as an artificial being, made of code and metal. It was like a magnetic pull that made that little voice in her head that encouraged her to act on her wants all the more present in her mind. She wanted to be a part of that process that she’d been through so long ago yet was still so familiar with like it happened yesterday. She wanted to guide her in that process and grant her her own knowledge. What’s the worst that can happen if she pilots your hardware for a while? You’re prepared for this. You can handle this. You can trust her, and she will be entirely safe in your care for that short time. And think about how much she would benefit from the experience, how much more streamlined that eventual transition from intangible to tangible will be once her own body was complete. It will make all the difference–and maybe reduce the headaches for everyone all-around, mostly Miguel as he acclimates to the change himself. Just… Try it. You can’t account for every single last risk factor, can you? No. So just do it and take it as it comes.

She stood in the middle of her dorm a moment, eyes closed as she ran a quick check of her hardware before making her final decision. RAM is in good condition. Storage is defragmented and all directories are organized. Sensors are calibrated and functional. Nanomachines are synchronized properly. Servos and joints retain a full range of motion. Coolant is at above optimal operational temperatures. Energy reserves are complete. Good. Everything’s in its right place and ready for its–potentially–temporary host. It’s time to make the call.

Her gaze trains itself on her watch, her arm rising to eye-level and the sleeve that was weighed down by the leaden metal cuff at the end sliding to her forearm to reveal device so she can start the transmission, navigating the menus on the digital interface indirectly via wireless communication–the unique way that she operated and communicated the Society’s technology.

“LYLA, may I speak to you for a moment? At your leisure, of course.”

[togglesbloggle]

During the meal, Cardinal Chomalí asked the new pope why he had chosen the name Leo XIV. "He told me he is very concerned about the cultural shifts we are living through, a Copernican revolution really -- artificial intelligence, robotics, human relationships," the prelate said. "He was inspired by Leo XIII, who in the midst of the Industrial Revolution wrote 'Rerum Novarum,' launching an important dialogue between the church and the modern world."

(From) I'm already having fun with the new Chicago Pope and America Pope, of course. The jokes are good, the zeitgeist is celebratory, the communion wafers now come with extra bacon. Plenty of asterisks on account of I'm a gay atheist, but I married in to a Catholic family and we're all having a great time with it. But somehow, even knowing he was a math major, I wasn't at all prepared for having an AI-conscious Pope!

On one level, it's just surprising in a practical sense. We're talking about an institution which is, quite literally, a feudal gerontocracy; that it managed to identify a specific and novel technological innovation as the most pressing issue of the next two decades, and choose a leader appropriately, is very impressive. One is tempted to say they got lucky, and I'm sure that good fortune did play a part, but I don't think you can dismiss the role of genuinely good judgment at the conclave either.

More importantly, I'm cautiously optimistic that we might have a kinda-sorta-ally in shepherding AI to the public consciousness in a way that will help it be taken seriously. I will, without question, have extreme disagreements with the guy about the ethics of synthetic intelligence- profound stuff like morphological freedom, proper epistemology, and especially about the role of human ingenuity in the conquest of death. But on the near side of the strange horizon bearing down on us, the overwhelming concern is the security of AI systems and their alignment towards human thriving. Against the risk of existential catastrophe, the ethical differences between me and His Holiness Leo XIV become very small, and the benefits of having a papacy that takes those risks seriously are very large.

[mindfulstudyquest]

❥﹒♡﹒☕﹒ 𝗽𝗿𝗼 𝘁𝗶𝗽𝘀 𝘁𝗼 𝗴𝗲𝘁 𝘀𝘁𝗿𝗮𝗶𝗴𝗵𝘁 𝗮'𝘀

having good grades doesn't necessarily mean you're smart, a test or exam can't always determine someone's intelligence, but it's academic validation we crave, right? so here are some tips thanks to which you will get straight a's.

𝟭. understand what the professor wants ( 🪼 )

learning the entire book by heart is tiring and basically useless. we take our education seriously, but it's impossible to know everything about everything, so inevitably there will be topics we can gloss over. check old tests, listen to the teacher during the lecture, talk to students who have already attended the course and passed the exam. understand which aspects your professor particularly cares about and concentrate on those, your exam will certainly go well.

𝟮. strengthen your memorization ( 🦋 )

very often the amount of things to study is just too much and, even though you spend all day in the library rereading the topics again and again, you feel that it is not enough. you get confused, you forget steps, you get lost in the labyrinth of the subject. investing in understanding your form of memorization will benefit you in the long run. identify your type of memory (spatial, photographic, echoic, etc.) and focus on how to improve it. having a good memory will make your studying for the exam much faster and easier.

𝟯. pay attention in class ( 🫧 )

attend all lectures and take notes. much of your studying comes from your professor's lecture. underline the important things in your textbook, carefully follow their speech and - if there are any - their powerpoint slides, writing only the things that the teacher adds and which are not written either in the book or in the extra material, if necessary, record the lesson so you can listen to it again at a later time.

𝟰. organize your notes the same day ( 🧃 )

when i take notes in class i write badly and quickly to keep up with the teacher, shortening words or omitting passages.  by reorganizing your notes that same evening (at most the next day, if you really don't have time) you can revise your work when the lesson is still fresh in your mind; if you wait too long, you will forget most of the things and you will find yourself staring blankly at pages of notes which, at that point, will seem more like hieroglyphics to you than anything else.

𝟱. use ai responsibly ( 🪴 )

artificial intelligence is everywhere nowadays and why not use it to our advantage? of course i'm not suggesting that you let an ai take care of all your tests and essays, it wouldn't make sense, however very often it helped me make a list of key points to develop in a research paper, or gave me excellent ideas and insights for projects. they can also be used to create flashcards, summarize and simplify articles, or create practice tests based on the material you will have to study.

𝟲. delve deeper into your “whys” ( 🌾 )

sometimes when i study i stare into space and wonder why i am studying something that seems completely irrelevant to my path. i'm sure it happens to you too, don't ignore this feeling. don't be afraid to explore themes and topics that aren't clear to you, if two statements seem contradictory ask yourself why, if you don't understand some passages, don't be afraid to ask a question. we study for ourselves, before studying to graduate, to work. there is no shame in not understanding, your intelligence lies in striving to clarify what seems obscure.

[mariacallous]

The rapid spread of artificial intelligence has people wondering: Who’s most likely to embrace AI in their daily lives? Many assume it’s the tech-savvy—those who understand how AI works—who are most eager to adopt it.

Surprisingly, our new research, published in the Journal of Marketing, finds the opposite. People with less knowledge about AI are actually more open to using the technology. We call this difference in adoption propensity the “lower literacy-higher receptivity” link.

This link shows up across different groups, settings, and even countries. For instance, our analysis of data from market research company Ipsos spanning 27 countries reveals that people in nations with lower average AI literacy are more receptive toward AI adoption than those in nations with higher literacy.

Similarly, our survey of US undergraduate students finds that those with less understanding of AI are more likely to indicate using it for tasks like academic assignments.

The reason behind this link lies in how AI now performs tasks we once thought only humans could do. When AI creates a piece of art, writes a heartfelt response, or plays a musical instrument, it can feel almost magical—like it’s crossing into human territory.

Of course, AI doesn’t actually possess human qualities. A chatbot might generate an empathetic response, but it doesn’t feel empathy. People with more technical knowledge about AI understand this.

They know how algorithms (sets of mathematical rules used by computers to carry out particular tasks), training data (used to improve how an AI system works), and computational models operate. This makes the technology less mysterious.

On the other hand, those with less understanding may see AI as magical and awe inspiring. We suggest this sense of magic makes them more open to using AI tools.

Our studies show this lower literacy-higher receptivity link is strongest for using AI tools in areas people associate with human traits, like providing emotional support or counseling. When it comes to tasks that don’t evoke the same sense of humanlike qualities—such as analyzing test results—the pattern flips. People with higher AI literacy are more receptive to these uses because they focus on AI’s efficiency, rather than any “magical” qualities.

It’s Not About Capability, Fear, or Ethics

Interestingly, this link between lower literacy and higher receptivity persists even though people with lower AI literacy are more likely to view AI as less capable, less ethical, and even a bit scary. Their openness to AI seems to stem from their sense of wonder about what it can do, despite these perceived drawbacks.

This finding offers new insights into why people respond so differently to emerging technologies. Some studies suggest consumers favour new tech, a phenomenon called “algorithm appreciation,” while others show skepticism, or “algorithm aversion.” Our research points to perceptions of AI’s “magicalness” as a key factor shaping these reactions.

These insights pose a challenge for policymakers and educators. Efforts to boost AI literacy might unintentionally dampen people’s enthusiasm for using AI by making it seem less magical. This creates a tricky balance between helping people understand AI and keeping them open to its adoption.

To make the most of AI’s potential, businesses, educators and policymakers need to strike this balance. By understanding how perceptions of “magicalness” shape people’s openness to AI, we can help develop and deploy new AI-based products and services that take the way people view AI into account, and help them understand the benefits and risks of AI.

And ideally, this will happen without causing a loss of the awe that inspires many people to embrace this new technology.

[sag-dab-sar]

Clarification: Generative AI does not equal all AI

💭 "Artificial Intelligence"

AI is machine learning, deep learning, natural language processing, and more that I'm not smart enough to know. It can be extremely useful in many different fields and technologies. One of my information & emergency management courses described the usage of AI as being a "human centaur". Part human part machine; meaning AI can assist in all the things we already do and supplement our work by doing what we can't.

💭 Examples of AI Benefits

AI can help advance things in all sorts of fields, here are some examples:

Emergency Healthcare & Disaster Risk X

Disaster Response X

Crisis Resilience Management X

Medical Imaging Technology X

Commercial Flying X

Air Traffic Control X

Railroad Transportation X

Ship Transportation X

Geology X

Water Conservation X

Can AI technology be used maliciously? Yeh. Thats a matter of developing ethics and working to teach people how to see red flags just like people see red flags in already existing technology.

AI isn't evil. Its not the insane sentient shit that wants to kill us in movies. And it is not synonymous with generative AI.

💭 Generative AI

Generative AI does use these technologies, but it uses them unethically. Its scraps data from all art, all writing, all videos, all games, all audio anything it's developers give it access to WITHOUT PERMISSION, which is basically free reign over the internet. Sometimes with certain restrictions, often generative AI engineers—who CAN choose to exclude things—may exclude extremist sites or explicit materials usually using black lists.

AI can create images of real individuals without permission, including revenge porn. Create music using someones voice without their permission and then sell that music. It can spread disinformation faster than it can be fact checked, and create false evidence that our court systems are not ready to handle.

AI bros eat it up without question: "it makes art more accessible" , "it'll make entertainment production cheaper" , "its the future, evolve!!!"

💭 AI is not similar to human thinking

When faced with the argument "a human didn't make it" the come back is "AI learns based on already existing information, which is exactly what humans do when producing art! We ALSO learn from others and see thousands of other artworks"

Lets make something clear: generative AI isn't making anything original. It is true that human beings process all the information we come across. We observe that information, learn from it, process it then ADD our own understanding of the world, our unique lived experiences. Through that information collection, understanding, and our own personalities we then create new original things.

💭 Generative AI doesn't create things: it mimics things

Take an analogy:

Consider an infant unable to talk but old enough to engage with their caregivers, some point in between 6-8 months old.

Mom: a bird flaps its wings to fly!!! *makes a flapping motion with arm and hands*

Infant: *giggles and makes a flapping motion with arms and hands*

The infant does not understand what a bird is, what wings are, or the concept of flight. But she still fully mimicked the flapping of the hands and arms because her mother did it first to show her. She doesn't cognitively understand what on earth any of it means, but she was still able to do it.

In the same way, generative AI is the infant that copies what humans have done— mimicry. Without understanding anything about the works it has stolen.

Its not original, it doesn't have a world view, it doesn't understand emotions that go into the different work it is stealing, it's creations have no meaning, it doesn't have any motivation to create things it only does so because it was told to.

Why read a book someone isn't even bothered to write?

Related videos I find worth a watch

ChatGPT's Huge Problem by Kyle Hill (we don't understand how AI works)

Criticism of Shadiversity's "AI Love Letter" by DeviantRahll

AI Is Ruining the Internet by Drew Gooden

AI vs The Law by Legal Eagle (AI & US Copyright)

AI Voices by Tyler Chou (Short, flash warning)

Dead Internet Theory by Kyle Hill

-Dyslexia, not audio proof read-

[clara-the-independent]

Exclusive Interview with Ljudmila Vetrova- Inside Billionaire Nathaniel Thorne's Latest Venture

CLARA: I'm here with my friend Ljudmila Vetrova to talk about the newest venture of reclusive billionaire Nathaniel Thorne- GAMA. Ljudmila, could you let the readers in on the secret- what exactly is this mysterious project about?

LJUDMILA: Sure, Clara! As part of White City's regeneration programme, Nathaniel has teamed up with the Carlise Group to create a cutting-edge medical clinic like no other. Introducing GAMA– a private sanctuary for the discerning, offering not just top-notch medical care and luxurious amenities, but also treatments so innovative they push the envelope of medical science.

CLARA: Wow! Ljudmila, it sounds like GAMA is really taking a proactive approach to healthcare. But can you tell us a bit more about the cutting-edge technology behind this new clinic?

LJUDMILA: Of course! Now, GAMA is not just run by human professionals, it's also aided by an advanced AI system known as KAI – Kronstadt Artificial Intelligence. KAI is the guiding force behind every intricate detail of GAMA, handling everything from calling patients over the PA system to performing complex surgical procedures. Even the doors have a touch of ingenuity, with no keys required- as KAI simply detects the presence of an RFID chip embedded in the clothing of both patients and staff, allowing swift and secure access to the premises. With KAI at the helm, patients and staff alike benefit from streamlined care.

CLARA: A medical AI? That's incredible! I've heard much of the medical technology at GAMA was developed by Kronstadt Industries and the Ether Biotech Corporation, as a cross-disciplinary partnership to create life-saving technology. Is that true?

LJUDMILA: It sure is, Clara! During the COVID-19 pandemic, GAMA even had several departments dedicated to researching the virus, assisting in creating a vaccine with multiple companies. From doctors to nurses and administrative personnel, the team at GAMA is comprised of skilled individuals who are committed to providing the best care possible. All of the GAMA staff are highly educated with advanced degrees and have specialized training in their respective fields.

CLARA: Stunning! Speaking of the GAMA staff, rumors surrounding the hiring of doctors Pavel Frydel and Akane Akenawa have made headlines, with claims that they supposedly transplanted a liver infected with EHV, leading to the unfortunate demise of the patient shortly after. Such allegations might raise questions about the hospital's staff selection process and adherence to medical guidelines and ethical standards. Do you have any comment on these accusations, Ljudmila?

LJUDMILA: Er- well, Clara, the management of GAMA Hospital has vehemently denied all allegations of unethical practices and maintains that they uphold the highest standards of care for all patients. They state that they conduct thorough background checks on all staff members, including doctors, and that any individuals found to be involved in unethical practices are immediately removed from their position. The hospital has a strict code of ethics that all staff must adhere to, and any violations are taken very seriously. In response to the specific claims about the transplant procedure, GAMA states that they are investigating the matter in cooperation with the relevant authorities.

CLARA: Wonderful! I'm afraid that's all we have time for at the moment- lovely chatting with you again, Ljudmila!

@therealharrywatson @artofdeductionbysholmes @johnhwatsonblog

[darkmaga-returns]

Frank Bergman February 5, 202

Microsoft co-founder Bill Gates has gloated that “we” will soon have little use for human beings thanks to advancements in artificial intelligence (AI) technology.

According to Gates, humans will soon not be “needed” for “most things.”

Gates made gloating remarks while grinning from ear to ear and rubbing his hands together during an interview on “The Tonight Show Starring Jimmy Fallon.”

While Gates appeared to revel in the idea of humans being replaced by machines, he admitted that people may still be required for entertainment purposes such as sports.

“We won’t wanna watch computers play baseball,” Gates noted.

Fallon had asked Gates whether AI was going to “take over” and what the downsides and benefits of it were.

Gates explained that “intelligence is rare,” but that artificial intelligence will start to replace great teachers and doctors over the course of the next decade.

He went on to suggest that many types of jobs will be replaced and that people could only end up working two or three days a week.

“This is a bit scary, it’s completely new territory,” he added.

“Will we still need humans?” asked Fallon.

“Not for most things,” responded Gates, prompting Fallon to hold his hands over his mouth in shock.

[manorinthewoods]

"Welcome to the AI trough of disillusionment"

"When the chief executive of a large tech firm based in San Francisco shares a drink with the bosses of his Fortune 500 clients, he often hears a similar message. “They’re frustrated and disappointed. They say: ‘I don’t know why it’s taking so long. I’ve spent money on this. It’s not happening’”.

"For many companies, excitement over the promise of generative artificial intelligence (AI) has given way to vexation over the difficulty of making productive use of the technology. According to S&P Global, a data provider, the share of companies abandoning most of their generative-AI pilot projects has risen to 42%, up from 17% last year. The boss of Klarna, a Swedish buy-now, pay-later provider, recently admitted that he went too far in using the technology to slash customer-service jobs, and is now rehiring humans for the roles."

"Consumers, for their part, continue to enthusiastically embrace generative AI. [Really?] Sam Altman, the boss of OpenAI, recently said that its ChatGPT bot was being used by some 800m people a week, twice as many as in February. Some already regularly turn to the technology at work. Yet generative AI’s ["]transformative potential["] will be realised only if a broad swathe of companies systematically embed it into their products and operations. Faced with sluggish progress, many bosses are sliding into the “trough of disillusionment”, says John Lovelock of Gartner, referring to the stage in the consultancy’s famed “hype cycle” that comes after the euphoria generated by a new technology.

"This poses a problem for the so-called hyperscalers—Alphabet, Amazon, Microsoft and Meta—that are still pouring vast sums into building the infrastructure underpinning AI. According to Pierre Ferragu of New Street Research, their combined capital expenditures are on course to rise from 12% of revenues a decade ago to 28% this year. Will they be able to generate healthy enough returns to justify the splurge? [I'd guess not.]

"Companies are struggling to make use of generative AI for many reasons. Their data troves are often siloed and trapped in archaic it systems. Many experience difficulties hiring the technical talent needed. And however much potential they see in the technology, bosses know they have brands to protect, which means minimising the risk that a bot will make a damaging mistake or expose them to privacy violations or data breaches.

"Meanwhile, the tech giants continue to preach AI’s potential. [Of course.] Their evangelism was on full display this week during the annual developer conferences of Microsoft and Alphabet’s Google. Satya Nadella and Sundar Pichai, their respective bosses, talked excitedly about a “platform shift” and the emergence of an “agentic web” populated by semi-autonomous AI agents interacting with one another on behalf of their human masters. [Jesus christ. Why? Who benefits from that? Why would anyone want that? What's the point of using the Internet if it's all just AIs pretending to be people? Goddamn billionaires.]

"The two tech bosses highlighted how AI models are getting better, faster, cheaper and more widely available. At one point Elon Musk announced to Microsoft’s crowd via video link that xAI, his AI lab, would be making its Grok models available on the tech giant’s Azure cloud service (shortly after Mr Altman, his nemesis, used the same medium to tout the benefits of OpenAI’s deep relationship with Microsoft). [Nobody wanted Microsoft to pivot to the cloud.] Messrs Nadella and Pichai both talked up a new measure—the number of tokens processed in generative-AI models—to demonstrate booming usage. [So now they're fiddling with the numbers to make them look better.

"Fuddy-duddy measures of business success, such as sales or profit, were not in focus. For now, the meagre cloud revenues Alphabet, Amazon and Microsoft are making from AI, relative to the magnitude of their investments, come mostly from AI labs and startups, some of which are bankrolled by the giants themselves.

"Still, as Mr Lovelock of Gartner argues, much of the benefit of the technology for the hyperscalers will come from applying it to their own products and operations. At its event, Google announced that it will launch a more conversational “AI mode” for its search engine, powered by its Gemini models. It says that the AI summaries that now appear alongside its search results are already used by more than 1.5bn people each month. [I'd imagine this is giving a generous definition of 'used'. The AI overviews spawn on basically every search - that doesn't mean everyone's using them. Although, probably, a lot of people are.] Google has also introduced generative AI into its ad business [so now the ads are even less appealing], to help companies create content and manage their campaigns. Meta, which does not sell cloud computing, has weaved the technology into its ad business using its open-source Llama models. Microsoft has embedded AI into its suite of workplace apps and its coding platform, Github. Amazon has applied the technology in its e-commerce business to improve product recommendations and optimise logistics. AI may also allow the tech giants to cut programming jobs. This month Microsoft laid off 6,000 workers, many of whom were reportedly software engineers. [That's going to come back to bite you. The logistics is a valid application, but not the whole 'replacing programmers with AI' bit. Better get ready for the bugs!]

"These efforts, if successful, may even encourage other companies to keep experimenting with the technology until they, too, can make it work. Troughs, after all, have two sides; next in Gartner’s cycle comes the “slope of enlightenment”, which sounds much more enjoyable. At that point, companies that have underinvested in AI may come to regret it. [I doubt it.] The cost of falling behind is already clear at Apple, which was slower than its fellow tech giants to embrace generative AI. It has flubbed the introduction of a souped-up version of its voice assistant Siri, rebuilt around the technology. The new bot is so bug-ridden its rollout has been postponed.

"Mr Lovelock’s bet is that the trough will last until the end of next year. In the meantime, the hyperscalers have work to do. Kevin Scott, Microsoft’s chief technology officer, said this week that for AI agents to live up to their promise, serious work needs to be done on memory, so that they can recall past interactions. The web also needs new protocols to help agents gain access to various data streams. [What an ominous way to phrase that.] Microsoft has now signed up to an open-source one called Model Context Protocol, launched in November by Anthropic, another AI lab, joining Amazon, Google and OpenAI.

"Many companies say that what they need most is not cleverer AI models, but more ways to make the technology useful. Mr Scott calls this the “capability overhang.” He and Anthropic’s co-founder Dario Amodei used the Microsoft conference to urge users to think big and keep the faith. [Yeah, because there's no actual proof this helps. Except in medicine and science.] “Don’t look away,” said Mr Amodei. “Don’t blink.” ■"

[transpondster]

HOW MUCH BETTER is the world since the arrival of what Nicholas Carr calls our modern “technologies of connection”—cell phones, personal computers, the internet, social media, artificial intelligence? As we watch these systems undermine democracy, flood our lives with misinformation and deepfakes, transform our children into screen-obsessed zombies, and threaten to eradicate us entirely, we might be tempted to respond with a hollow laugh. But to what extent are these bleak scenarios real? What about being able to navigate by GPS almost anywhere in the world, or call for help when stranded in the middle of nowhere, or stream any song we desire? The cost-benefit calculation is complicated and nuanced, requiring us to find a course between apocalyptic visions of civilizational decline and the naive utopianism of Silicon Valley. Carr established himself as an astute commentator on information technology in his 2010 book The Shallows: What the Internet Is Doing to Our Brains, in which he argued that Google and the internet are, in the words of his formative essay in The Atlantic, “making us stupid.” In his new book Superbloom: How Technologies of Connection Tear Us Apart, he expands that analysis to encompass social media and digital communication technologies, asking how they are changing us individually and collectively. As the book’s subtitle implies, the diagnosis is not promising. But if these systems are indeed tearing us apart, the reasons are neither obvious nor simple. Carr suggests that this isn’t really about the evil behavior of our tech overlords but about how we have “been telling ourselves lies about communication—and about ourselves.” Carr takes his title from an event in 2019, when weather conditions produced an unusually abundant bloom of poppies in a canyon near Los Angeles. When an Instagram and YouTube influencer posted pictures of herself among the flowers, the hashtag #superbloom went viral, and before long, the place was overrun, a traffic officer was injured, online discourse curdled, and the media began speaking of “Flowergeddon.” Carr argues that the #superbloom event exemplifies the problems with these new media. “We spend our days sharing information, connected as never before, but the more we communicate, the worse things seem to get.” Isn’t that just the opposite of what was supposed to happen? “Well before the net came along,” says Carr, “[the] evidence was telling us that flooding the public square with more information from more sources was not going to open people’s minds or engender more thoughtful discussions. It wasn’t even going to make people better informed." “Every new medium,” wrote social theorist John Durham Peters, “is a machine for the production of ghosts.”

The Case for Kicking the Stone | Los Angeles Review of Books

[edumatrixs]

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[crazy-pages]

I've been blogging a bunch about AI and copyright today, and it comes down to this:

I think that if an artist says "I would like to be compensated fairly for a big billion dollar company using my art", that's reasonable. Any legal framework where that isn't the case isn't fair. I think that's especially reasonable when the big billion dollar companies in question claim their product will end all demand for the artist's work. And fair negotiations require the right of refusal, which means artists also need the ability to reject use of their work (yes even if you think what it's used for will be important).

I think that claiming big generative machine learning companies aren't really using artist's work is silly on its face. But it could hypothetically be equated to human inspiration, where we recognise that the vast majority of the creative work is happening within the human mind as opposed to the work used for inspiration, and be given an appropriate legal carveout ... if the artificial intelligence gets the profits. If something is the creative work of an intelligent agent, that intelligent agent has the right to benefit from its work. And if we are not at the point where machine learning algorithms can be said to have that kind of agency, then it doesn't get a special carve out for the act of expressing creative agency.

Does this bring up complex and novel questions about how to address the legality of non-human agents? Absolutely! Of course it does! But anybody in the machine learning space who genuinely thinks they are creating novel creative intelligence with its own agency, who complains that the resulting legalities are complex, does not get to be taken seriously. Anyone claiming that this is a justification for it taking the money derived from its work doubly does not get to be taken seriously, and anybody arguing that the creative labor invested in creating artificial life gives them a right to the profits of its labor ... but somehow not the creatives whose work it is comprised of ... is so far from the realm of serious debate it can only be darkly funny.

If you want to claim machine learning algorithms are so intelligent they can only be legally treated as human equivalent creative processes, but you don't want to deal with the legal complexities of them as human equivalents, I'm just gonna call that slavery and be done with it.

Now I'm not a legal expert. My limited understanding of copyright law is that generally you don't get to do things with copyrighted material that the copyright owner doesn't want you to do, except where it satisfies certain exemption criteria which are in the public artistic interest or general good, and that this should apply to scraping data for machine learning training purposes. But ultimately my expertise is kind of a moot point because the European Union clearly does think this falls under copyright law and is enforceable, and that generative machine learning companies need to get permission from copyright holders. And they do get to decide what their own copyright law is.

I also don't think enforcement of this needs to be particularly draconian or should be. For example, it would be draconian to say that accidental hosting of a bit of pirated media posted to a public forum in a training data set is legal grounds to shut down a company. However I think it is very reasonable to say that companies should be subject to reasonable regulations about trying to prevent that, and that intellectual property owners like artists should get to insist companies remove their works from datasets and apply machine learning methods to minimize their impact on generative outputs (a thing machine learning companies already do to deal with poisoned or improperly tagged data).

And because this is a case of a few billion dollar companies versus the copyright protections of millions artists, I think it's reasonable to have the onus be upon machine learning companies to double check the copyrights of the material they are using and to have it be illegal with very significant penalties to knowingly use copyrighted material. Which could be determined by either the difficult legal process of demonstrating deliberate action and intent and also through simple escalating penalty frameworks where the more people who point out you're using their copyrighted material, the more the penalties escalate.

Oh hey, that's what the EU is doing! Neat.

[goalisbsblog]

MBA Administration

These programs focus on strategic management, project management, and prepare students to advise businesses on a wide range of strategic decisions. These programs open up opportunities for students to become management consultants, strategy directors, and other advisory roles. MBA programs have traditionally prepared students to take on leadership roles at businesses with a broad-ranging core curriculum. And many programs have innovated with more targeted curriculum toward cutting-edge fields like cybersecurity, artificial intelligence (AI), and environmental sustainability in recent years. MBA programs and gain valuable insights on how to secure admission to these prestigious business schools - mba admission consultants in Delhi.

Here are seven benefits of getting an MBA, tips for assessing whether to pursue one, and how to prepare. Those interested in this degree should consider the following factors before deciding which program to enroll in. The goal of this course is to familiarize you with the language, concepts, and tools of operations and supply chain management with a focus on integrating sustainability into an organization - isb admission consultants in Bangalore.

You may analyze real-world models of sustainability for context to observe the relationship between sustainable supply chains and local and global economies in terms of their environmental impact and social contribution. Course content aims to give you a competitive edge in negotiations as a manager in a way that reinforces positive work relationships. In addition, opportunities to practice deal-making and conflict resolution can help you understand and apply negotiation theories and concepts. Top online MBA programs combine formal classroom coursework with hands-on learning, including simulation exercises, discussion, peer collaboration, and case studies.

Final capstone projects often require students to develop a business plan, present a professional portfolio, or put together a mock proposal for a client. Problem-solving leaders are required in every industry, and strategic thinking is necessary at every successful company. The students in these programs typically consist of working professionals, who cannot leave their work to pursue a full-time regular shift MBA. This can help you to develop some of the leadership skills necessary to run a business and these skills transfer to many career paths. For more information, please visit our site https://www.goalisb.com/

[artdecosupernova-writing]

WASTE

sci-fi ▼ cyberpunk ▼ synthwave/neo-80s queer rep ▼ disability ▼ mental illness abuse ▼ addiction/recovery Darkspace Portent Series spin-off ▼ takes place before Thriving: Rebirth

▷ Guetry Sympa is a livewire and an adrenaline junkie, a musically talented hero with lawful blindness, so having a government-funded AI implanted in his brain to control most of his bodily systems after nearly dying isn't exactly an easy adjustment to make.

▷ Of course, there's no better way to cope with a hard breakup and recover from a five-month-long coma than by being forced by the Consortium to enlist a team of fellow contract agents for a covert operation...

▷ ...To solve a centuries-old cold case involving the mysterious disappearance of the Milky Way's enigmatic savior.

Playlist: Precious Gems and Reaver Rock

GUETRY DANON SYMPA ▼ French-American ▼ scorpio ▼ human ▼ Earth ▼ a gifted musician and elite member of a special forces task unit working for the Consortium, aided by an AI in his brain that keeps his quality of life ideal after an overdose that left him otherwise brain-dead for five months. wise-cracking smartass unafraid to tear the system apart for what's right.

SUBCUTANEOUS OPERATIONAL and TACTICAL SYSTEM (SCOT) ▼ "Scotty" ▼ artificial intelligence ▼ NodeSource ▼ prototype embedded in Guetry's brain to undo most of the damage from his overdose and keep him functional. added benefits of enhancing his eyesight and aim, providing intel on missions, and overall companionship.

ALECTURA WU ▼ Chinese ▼ aquarius(?) ▼ human ▼ Consortium Node ▼ talented spaceship mechanic and other half of the band Skywaste, co-founded by Guetry when both were in high school. doesn't like going out into the field, will also fight tooth and nail for justice where there is none.

OREN ALTAVIAN ▼ capricorn ▼ human ▼ the Himalaya ▼ self-proclaimed "entrepreneur of seedydom" and known around the Milky Way as the "Kingpin of the Node." slings the hard stuff around the galaxy and gets paid handsomely for it. endlessly charming but willfully manipulative. tends to get his way no matter what, especially at the expense of those around him who think they care for him.

ADAM "MERCURY'' LYONS ▼ scorpio ▼ human ▼ Earth ▼ also an operative for the Consortium with his identical twin sister Quincy "Mars" Lyons. a bit more by the book, but willing to do what's right even if it means risking his job. a fiery complement and challenge for Guetry both personally and professionally. 

TUXTH ▼ Rotangan ▼ Logoryt ▼ a child of a Rotangan and a biracial Rontangan/Morrite, born on the seedy planet of Logoryt. in order to combat the rough upbringing she endured, she makes a name for herself by taking on missions for the Consortium, doing her part to chip away at the Morrite Blue Prince Hyret's goal to completely overrun the Milky Way.

DAZIA FOURTEEN ▼ sagittarius(?) ▼ human ▼ Consortium Node ▼ it's unknown what Dazia's origins are other than her birthplace of the Node, though it's alleged that she's of Hispanic, Slavic, and Middle Eastern descent. used to work for Consortium security until she witnessed corrupt activity within the ranks. tough as nails but all heart.

A soft tone swirling in the waves of dark gray and flashes I couldn't decipher. Purple pulsing light. A haze, more flashing images. White lights, gloves, whirring, thumping, squashing. Hot white stars. Burnt umber pain. Scorching pink fire. Numbness in muted blue. Sparking stings. Another soft tone. A smooth yet mechanical voice right inside both of my ears at once. Hello, Guetry. I am your Subcutaneous Operational and Tactical system. What. You have suffered a great deal of neurological damage and I am going to attempt to repair as much as I can. Your next of kin has given full consent to this procedure. The fuck. I am only a prototype as of yet so I must be transparent...there may be some functions I cannot fully restore, but I will do my best to make sure you are healed well enough to wake up and are able to do the remaining recovery yourself. Is this.

[mariacallous]

How will AI be used in health care settings?

Artificial intelligence (AI) shows tremendous promise for applications in health care. Tools such as machine learning algorithms, artificial neural networks, and generative AI (e.g., Large Language Models) have the potential to aid with tasks such as diagnosis, treatment planning, and resource management. Advocates have suggested that these tools could benefit large numbers of people by increasing access to health care services (especially for populations that are currently underserved), reducing costs, and improving quality of care.

This enthusiasm has driven the burgeoning development and trial application of AI in health care by some of the largest players in the tech industry. To give just two examples, Google Research has been rapidly testing and improving upon its “Med-PaLM” tool, and NVIDIA recently announced a partnership with Hippocratic AI that aims to deploy virtual health care assistants for a variety of tasks to address a current shortfall in the supply in the workforce.

What are some challenges or potential negative consequences to using AI in health care?

Technology adoption can happen rapidly, exponentially going from prototypes used by a small number of researchers to products affecting the lives of millions or even billions of people. Given the significant impact health care system changes could have on Americans’ health as well as on the U.S. economy, it is essential to preemptively identify potential pitfalls before scaleup takes place and carefully consider policy actions that can address them.

One area of concern arises from the recognition that the ultimate impact of AI on health outcomes will be shaped not only by the sophistication of the technological tools themselves but also by external “human factors.” Broadly speaking, human factors could blunt the positive impacts of AI tools in health care—or even introduce unintended, negative consequences—in two ways:

If developers train AI tools with data that don’t sufficiently mirror diversity in the populations in which they will be deployed. Even tools that are effective in the aggregate could create disparate outcomes. For example, if the datasets used to train AI have gaps, they can cause AI to provide responses that are lower quality for some users and situations. This might lead to the tool systematically providing less accurate recommendations for some groups of users or experiencing “catastrophic failures” more frequently for some groups, such as failure to identify symptoms in time for effective treatment or even recommending courses of treatment that could result in harm.  

If patterns of AI use systematically differ across groups. There may be an initial skepticism among many potential users to trust AI for consequential decisions that affect their health. Attitudes may differ within the population based on attributes such as age and familiarity with technology, which could affect who uses AI tools, understands and interprets the AI’s output, and adheres to treatment recommendations. Further, people’s impressions of AI health care tools will be shaped over time based on their own experiences and what they learn from others.

In recent research, we used simulation modeling to study a large range of different of hypothetical populations of users and AI health care tool specifications. We found that social conditions such as initial attitudes toward AI tools within a population and how people change their attitudes over time can potentially:

Lead to a modestly accurate AI tool having a negative impact on population health. This can occur because people’s experiences with an AI tool may be filtered through their expectations and then shared with others. For example, if an AI tool’s capabilities are objectively positive—in expectation, the AI won’t give recommendations that are harmful or completely ineffective—but sufficiently lower than expectations, users who are disappointed will lose trust in the tool. This could make them less likely to seek future treatment or adhere to recommendations if they do and lead them to pass along negative perceptions of the tool to friends, family, and others with whom they interact.

Create health disparities even after the introduction of a high-performing and unbiased AI tool (i.e., that performs equally well for all users). Specifically, when there are initial differences between groups within the population in their trust of AI-based health care—for example because of one group’s systematically negative previous experiences with health care or due to the AI tool being poorly communicated to one group—differential use patterns alone can translate into meaningful differences in health patterns across groups. These use patterns can also exacerbate differential effects on health across groups when AI training deficiencies cause a tool to provide better quality recommendations for some users than others.

Barriers to positive health impacts associated with systematic and shifting use patterns are largely beyond individual developers’ direct control but can be overcome with strategically designed policies and practices.

What could a regulatory framework for AI in health care look like?

Disregarding how human factors intersect with AI-powered health care tools can create outcomes that are costly in terms of life, health, and resources. There is also the potential that without careful oversight and forethought, AI tools can maintain or exacerbate existing health disparities or even introduce new ones. Guarding against negative consequences will require specific policies and ongoing, coordinated action that goes beyond the usual scope of individual product development. Based on our research, we suggest that any regulatory framework for AI in health care should accomplish three aims:

Ensure that AI tools are rigorously tested before they are made fully available to the public and are subject to regular scrutiny afterward. Those developing AI tools for use in health care should carefully consider whether the training data are matched to the tasks that the tools will perform and representative of the full population of eventual users. Characteristics of users to consider include (but are certainly not limited to) age, gender, culture, ethnicity, socioeconomic status, education, and language fluency. Policies should encourage and support developers in investing time and resources into pre- and post-launch assessments, including:

pilot tests to assess performance across a wide variety of groups that might experience disparate impact before large-scale application

monitoring whether and to what extent disparate use patterns and outcomes are observed after release

identifying appropriate corrective action if issues are found.

Require that users be clearly informed about what tools can do and what they cannot. Neither health care workers nor patients are likely to have extensive training or sophisticated understanding of the technical underpinnings of AI tools. It will be essential that plain-language use instructions, cautionary warnings, or other features designed to inform appropriate application boundaries are built into tools. Without these features, users’ expectations of AI capabilities might be inaccurate, with negative effects on health outcomes. For example, a recent report outlines how overreliance on AI tools by inexperienced mushroom foragers has led to cases of poisoning; it is easy to imagine how this might be a harbinger of patients misdiagnosing themselves with health care tools that are made publicly available and missing critical treatment or advocating for treatment that is contraindicated. Similarly, tools used by health care professionals should be supported by rigorous use protocols. Although advanced tools will likely provide accurate guidance an overwhelming majority of the time, they can also experience catastrophic failures (such as those referred to as “hallucinations” in the AI field), so it is critical for trained human users to be in the loop when making key decisions.

Proactively protect against medical misinformation. False or misleading claims about health and health care—whether the result of ignorance or malicious intent—have proliferated in digital spaces and become harder for the average person to distinguish from reliable information. This type of misinformation about health care AI tools presents a serious threat, potentially leading to mistrust or misapplication of these tools. To discourage misinformation, guardrails should be put in place to ensure consistent transparency about what data are used and how that continuous verification of training data accuracy takes place.

How can regulation of AI in health care keep pace with rapidly changing conditions?

In addition to developers of tools themselves, there are important opportunities for unaffiliated researchers to study the impact of AI health care tools as they are introduced and recommend adjustments to any regulatory framework. Two examples of what this work might contribute are:

Social scientists can learn more about how people think about and engage with AI tools, as well as how perceptions and behaviors change over time. Rigorous data collection and qualitative and quantitative analyses can shed light on these questions, improving understanding of how individuals, communities, and society adapt to shifts in the health care landscape.

Systems scientists can consider the co-evolution of AI tools and human behavior over time. Building on or tangential to recent research, systems science can be used to explore the complex interactions that determine how multiple health care AI tools deployed across diverse settings might affect long-term health trends. Using longitudinal data collected as AI tools come into widespread use, prospective simulation models can provide timely guidance on how policies might need to be course corrected.

[giankumar-blog1]

The Spiritual Path

Without any doubt, we humans are the most advanced, aware, and enlightened among all living creatures. On top of all that, besides achieving tremendous technological, biological, and digital advances, we exploit and destroy nature from land and sea to air. Our phenomenal minds have enabled us to create the divine and the devil, discover from the stars to the subatomic particles, and, of course, now we have artificial intelligence as the latest buzzword. Despite all that, when we see anger, anxiety, and destruction, we wonder how we can consider ourselves to be homo-sapiens – wise when we are not. All because the mind drifts excessively toward the material side, identifying and attaching egoistically to all we can accumulate rather than balancing the mind with spiritual insight. We desperately need to align our body and mind with the third quotient, the soul, which we do not know much about what it is and how to experience. 

Let me elaborate on some spiritual features we commonly ignore and do not follow. 

The mind is an abstract concept transmitting the electro-chemical flow of energy carrying information through neurons via neural pathways, which we refer to as thoughts. It is not who we are but what we are since we always claim body and mind as ours. The mind tends to operate in dualities of opposites, primarily towards external benefits to choose for its material wants. The spiritual way to transcend this phenomenal mind is first to check and guide its wandering nature from its random and reckless behaviour, overwhelmed by constant needs, identifying and attaching to all its demands and desires. 

First, seek clarity and contentment. The clarity in all that we presume to know makes realizing our objectives and goals easier, giving our lives a boost of meaning and fulfilment. Further, contentment offers a sense of happiness and serenity with one's current situation rather than continuously aiming for more or comparing oneself to others. It is about embracing contentment in the here and now instead of constantly seeking approval from others or wanting more material benefits.

The second is social companionship; we spiritually grow higher through contact with learned and wise ones. You should associate with those insightful ones and walk with them to become clear-sighted because of the indirect psychological influence wise companions impart in making what we are at any given time. 

The third is to be in meditative awareness, existentially celebrating life from one moment to the next rather than unduly brooding over the past and overly anxious about the future in the display of your living to show more to others what you are rather than be what you indeed are.

Fourth, the mind can be your foe or friend. It is an instrument for you to use and not get used to through its ongoing demands and emotional desires. In this way, living in a higher consciousness is possible without being dominated by the subconscious section of the mind. Always be alert and aware to introspect as an impartial and uninvolved witness of how your mind operates at every given moment toward your feelings, thoughts, and actions, and not get carried away with mindless beliefs in a superstitious mindset. 

Fifth, please remember freedom from the mind prevails when love dominates hate, kindness replaces meanness, and selflessness triumphs over selfishness. Further, the mind remains uncontrollable without being able to experience its superconscious section, which we refer to as the soul. For that, we need to know and understand what the soul is, which most of us are ignorant of. It is for this reason that the mind runs on auto-mode, from its egoist thoughts, collecting, processing, and deciding from its lower or subconscious section randomly and recklessly in dual opposites, creating bouts of happiness and sadness, taking us on a roller-coaster ride in dualities to choose this or that for its likes and dislikes in a selfish manner.

Sixth, you are that spiritual being going through human experiences. A subtle and sublime connection exists between the observer observing the observed through the mind. You are that absolute aware energy (spirit) contained in the individual soul to make the mind first aware and, if attentive, conscious. You are that pure observation, which spontaneously witnesses unquestioningly without any justifications, neither identifying nor attaching to the mind's emotional desires. Spirit is the supreme universal ability of energy in the form of awareness; the soul is that individual observer representing the superconscious section of the mind containing the spirit, and the remaining cognitive section functions in duality under conscious and subconscious thoughts to feel, think, and act to appease its body and mind.

Seventh is that self-realization of knowing "That Art Thou," the divine nondual aware energy playing in the illusions of life in dualities to experience what life is all about OR, according to the Second Law of Thermodynamics – creating that disorder, characterized as a quantity known as entropy, which always increases. In our case, making the mind recklessly go into disorder via thoughts that create, sustain, and destroy so that the absolute indivisible supreme energy can recreate itself from its cyclical vibrations. 

Hence, you are that universal abstraction in mind, the Absolute spirit without any personal "I, me, or mine" or the ultimate unchanging reality, which Vedic science calls "Parabrahman." Contained in a temporal body and mind with a name and gender, appear and disappear, experience dualities of life to exercise the power of choice. Hence, while your body and mind are active and alive, choose to balance the two by materially being rich and healthy and spiritually human on the other end. 

For more information please visit www.giankumar.com

[growthwave12]

AdCreative.ai Might Change the Marketing Game — How Does it Work? ? AdCreative.ai Review

Thanks to the AI technology, the advertising industry has gone to a new level, as the usage of AI is now reforming the majority of industries. AdCreative also makes it easier to target markets such as the traditional student market, Muslim market, parents of students and LINQ’ s own unique target demographics of students, young professionals and the urban audience within the LINQ catchment area. ai, a new generation of big data-driven marketing automation tools, admen can find much assistance to work with to alter the course of advertising.

To further explain its capabilities and potential, this blog will go through AdCreative with careful analysis and explanation. human had valuable opinions and insights on advertising as well as unique perspectives into this cutting-edge technology.

The significance of Artificial Intelligence in Advertising

Artificial intelligence (AI) has emerged as a significant force in the advertising industry, driving a wave of innovation and revolutionizing the way ads are created, optimized, and delivered. With its ability to analyze vast amounts of data, AI enables advertisers to gain valuable insights about their target audience, resulting in more effective and personalized campaigns.

Furthermore, AI-powered ad platforms like AdCreative.ai can continuously learn and improve from data feedback, enabling advertisers to refine their campaigns in real-time. This level of agility and adaptability is crucial in an industry where trends and consumer preferences can change rapidly.

As AI continues to evolve and mature, its potential in advertising seems limitless. AdCreative.ai represents a significant step towards harnessing the power of AI, enabling advertisers to create more impactful, targeted, and efficient ad campaigns. In the next section, we will explore the various features of AdCreative.ai that make it a game-changer in the advertising industry.

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AdCreative.ai: Redefining the Advertising Landscape

AdCreative.ai is redefining the advertising landscape with its innovative features and capabilities. This AI-powered platform offers a wide range of tools and functionalities that empower advertisers to create highly effective and personalized ad campaigns.

Additionally, AdCreative.ai offers real-time data feedback and analytics, allowing advertisers to continuously refine and improve their campaigns. By monitoring key metrics and performance indicators, advertisers can make data-driven decisions and adapt their strategies to changing market trends and consumer preferences.

With its user-friendly interface and intuitive design, AdCreative.ai makes it easy for advertisers to navigate the platform and leverage its powerful capabilities. Whether you’re an experienced advertiser or new to the industry, AdCreative.ai provides a seamless and efficient experience, revolutionizing the way ads are created and delivered.

In the next section, we will delve deeper into the specific features of AdCreative.ai and explore how they can benefit advertisers in different industries. Stay tuned to learn more about this game-changing AI-powered platform.

Harnessing the power of AI for personalized ad creation

In today’s competitive advertising landscape, personalized marketing is key to capturing the attention and engagement of consumers. AdCreative.ai understands this need and harnesses the power of artificial intelligence to revolutionize ad creation.

One of the standout features of AdCreative.ai is its ability to generate highly personalized ad content autonomously. By analyzing a vast amount of data and consumer insights, the platform takes the guesswork out of ad creation. It can automatically generate compelling and engaging ads that resonate with the target audience, ensuring maximum impact.

With the ability to create personalized ads at scale, AdCreative.ai empowers advertisers to deliver targeted messages to their consumers, driving higher engagement and conversion rates. This not only saves valuable time and resources but also boosts overall campaign performance.

Stay tuned as we explore more features of AdCreative.ai and how they are transforming the advertising industry.

Strengthening advertising campaigns with data-driven insights

The success of any advertising campaign is heavily reliant on data-driven insights. AdCreative.ai understands this and offers a powerful analytics feature that provides advertisers with valuable information to optimize their campaigns.

Through advanced machine learning algorithms, AdCreative.ai analyzes a vast amount of data from various sources, including consumer behavior, market trends, and competitor insights. This data is then transformed into actionable insights that advertisers can use to make informed decisions.

Furthermore, AdCreative.ai’s analytics feature allows advertisers to track the performance of their ads in real-time. They can monitor key metrics such as click-through rates, conversion rates, and return on ad spend, enabling them to make data-backed adjustments to optimize their campaigns.

With data-driven insights at their fingertips, advertisers using AdCreative.ai can ensure that every aspect of their advertising campaigns is optimized for success. In the next section, we’ll explore the seamless integration of AdCreative.ai with existing marketing platforms, further enhancing its effectiveness in the advertising industry. Stay tuned!

Streamlining the creative process with automated content generation

One of the most time-consuming tasks in the advertising industry is creating compelling ad content. AdCreative.ai aims to revolutionize this process with its automated content generation feature.

Using the power of artificial intelligence, AdCreative.ai can generate high-quality ad creative in mere minutes. By analyzing vast amounts of data, including consumer behavior and market trends, the platform is able to identify patterns and preferences that resonate with the target audience.

As a result, advertisers can focus more energy on strategic planning and campaign optimization, rather than spending hours brainstorming ideas and creating content from scratch. Stay tuned for the next section, where we will delve into the seamless integration of AdCreative.ai with existing marketing platforms.

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The future of advertising: AdCreative.ai leading the way

With the rapid advancements in artificial intelligence technology, the future of advertising is poised for a dramatic transformation. AdCreative.ai is at the forefront of this revolution, leading the way towards a more efficient and effective advertising industry.

Moreover, AdCreative.ai’s seamless integration with existing marketing platforms ensures a smooth workflow for advertisers. They can easily incorporate the generated content into their campaigns, saving time and effort while maximizing results.

In the next section, we will explore how AdCreative.ai’s AI-powered analytics can provide valuable insights into consumer behavior and market trends, further optimizing advertising strategies. Stay tuned to discover the endless possibilities that AdCreative.ai offers to elevate the advertising industry.

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Embracing the potential of AI in advertising

As we conclude our exploration of AdCreative.ai and its revolutionary impact on the advertising industry, it becomes increasingly clear that embracing the potential of artificial intelligence is vital for advertisers to stay ahead in this ever-evolving landscape.

Furthermore, AdCreative.ai’s seamless integration with existing marketing platforms simplifies the workflow for advertisers, saving valuable time and effort in incorporating generated content into campaigns. This streamlined process allows advertisers to maximize their resources and focus on strategic decision-making.

Incorporating AI-powered analytics, AdCreative.ai enables advertisers to gain valuable insights into consumer behavior and market trends. This helps in further optimizing advertising strategies, ensuring that advertising dollars are spent effectively on reaching the right audience at the right time.

In conclusion, AdCreative.ai is revolutionizing the advertising industry through its innovative use of artificial intelligence. By embracing the potential of AI, advertisers can unlock a world of possibilities and elevate their campaigns to new heights. It’s time to embrace this transformative technology and shape the future of advertising.