#AI Answer Engine Application

[sploreaianswerengine]

AI Answer Engine Application

Finding the right answers to your business questions can be time-consuming and frustrating. But what if there was a tool that could cut through the noise and deliver clear, concise answers instantly?

Enter AI Answer Engines. These innovative applications leverage cutting-edge technology to upgrade online information retrieval for businesses:

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Employee Training: Provide your workforce with readily available answers to internal policy questions, training materials, and company knowledge bases, fostering a more productive and well-informed team.

Streamline Internal Processes: Automate information retrieval for tasks like compliance checks and product information retrieval.

Splore's AI Answer Engine is at the forefront of this technology. Our user-friendly platform provides businesses with a powerful tool to access reliable information, improve efficiency, and gain a competitive edge. Visit Splore.com today and experience the future of information retrieval!

[cryptidize]

I'm getting increasingly startled by how much AI is being added to things when it doesn't work. Like. They don't work. They're not accurate, they're even dangerous. The time it will take to untangle websites from AI becomes exponential the more you integrate it into systems.

Maybe one day, we will figure out applications for it that actually matter but web searching is not the answer. The internet was supposed to be our digital library and knowledge base that anyone can access, but now AI and Google together are single-handedly destroying all the hard-earned trust the Alphabet monopoly has.

They're, quite literally, commiting to the enshittification of the entire web. All because they wanted to push out competition. Because they think AI is going to be the new search engine. I hate you projections I hate you modern business degrees, I hate you advertising majors becoming CEOs i hate you Google.

[river-taxbird]

The Four Horsemen of the Digital Apocalypse

Blockchain. Artificial Intelligence. Internet of Things. Big Data.

Do these terms sound familiar? You have probably been hearing some or all of them non stop for years. "They are the future. You don't want to be left behind, do you?"

While these topics, particularly crypto and AI, have been the subject of tech hype bubbles and inescapable on social media, there is actually something deeper and weirder going on if you scratch below the surface.

I am getting ready to apply for my PhD in financial technology, and in the academic business studies literature (Which is barely a science, but sometimes in academia you need to wade into the trash can.) any discussion of digital transformation or the process by which companies adopt IT seem to have a very specific idea about the future of technology, and it's always the same list, that list being, blockchain, AI, IoT, and Big Data. Sometimes the list changes with additions and substitutions, like the metaverse, advanced robotics, or gene editing, but there is this pervasive idea that the future of technology is fixed, and the list includes tech that goes from questionable to outright fraudulent, so where is this pervasive idea in the academic literature that has been bleeding into the wider culture coming from? What the hell is going on?

The answer is, it all comes from one guy. That guy is Klaus Schwab, the head of the World Economic Forum. Now there are a lot of conspiracies about the WEF and I don't really care about them, but the basic facts are it is a think tank that lobbies for sustainable capitalist agendas, and they famously hold a meeting every year where billionaires get together and talk about how bad they feel that they are destroying the planet and promise to do better. I am not here to pass judgement on the WEF. I don't buy into any of the conspiracies, there are plenty of real reasons to criticize them, and I am not going into that.

Basically, Schwab wrote a book titled the Fourth Industrial Revolution. In his model, the first three so-called industrial revolutions are:

1. The industrial revolution we all know about. Factories and mass production basically didn't exist before this. Using steam and water power allowed the transition from hand production to mass production, and accelerated the shift towards capitalism.

2. Electrification, allowing for light and machines for more efficient production lines. Phones for instant long distance communication. It allowed for much faster transfer of information and speed of production in factories.

3. Computing. The Space Age. Computing was introduced for industrial applications in the 50s, meaning previously problems that needed a specific machine engineered to solve them could now be solved in software by writing code, and certain problems would have been too big to solve without computing. Legend has it, Turing convinced the UK government to fund the building of the first computer by promising it could run chemical simulations to improve plastic production. Later, the introduction of home computing and the internet drastically affecting people's lives and their ability to access information.

That's fine, I will give him that. To me, they all represent changes in the means of production and the flow of information, but the Fourth Industrial revolution, Schwab argues, is how the technology of the 21st century is going to revolutionize business and capitalism, the way the first three did before. The technology in question being AI, Blockchain, IoT, and Big Data analytics. Buzzword, Buzzword, Buzzword.

The kicker though? Schwab based the Fourth Industrial revolution on a series of meetings he had, and did not construct it with any academic rigor or evidence. The meetings were with "numerous conversations I have had with business, government and civil society leaders, as well as technology pioneers and young people." (P.10 of the book) Despite apparently having two phds so presumably being capable of research, it seems like he just had a bunch of meetings where the techbros of the mid 2010s fed him a bunch of buzzwords, and got overly excited and wrote a book about it. And now, a generation of academics and researchers have uncritically taken that book as read, filled the business studies academic literature with the idea that these technologies are inevitably the future, and now that is permeating into the wider business ecosystem.

There are plenty of criticisms out there about the fourth industrial revolution as an idea, but I will just give the simplest one that I thought immediately as soon as I heard about the idea. How are any of the technologies listed in the fourth industrial revolution categorically different from computing? Are they actually changing the means of production and flow of information to a comparable degree to the previous revolutions, to such an extent as to be considered a new revolution entirely? The previous so called industrial revolutions were all huge paradigm shifts, and I do not see how a few new weird, questionable, and unreliable applications of computing count as a new paradigm shift.

What benefits will these new technologies actually bring? Who will they benefit? Do the researchers know? Does Schwab know? Does anyone know? I certainly don't, and despite reading a bunch of papers that are treating it as the inevitable future, I have not seen them offering any explanation.

There are plenty of other criticisms, and I found a nice summary from ICT Works here, it is a revolutionary view of history, an elite view of history, is based in great man theory, and most importantly, the fourth industrial revolution is a self fulfilling prophecy. One rich asshole wrote a book about some tech he got excited about, and now a generation are trying to build the world around it. The future is not fixed, we do not need to accept these technologies, and I have to believe a better technological world is possible instead of this capitalist infinite growth tech economy as big tech reckons with its midlife crisis, and how to make the internet sustainable as Apple, Google, Microsoft, Amazon, and Facebook, the most monopolistic and despotic tech companies in the world, are running out of new innovations and new markets to monopolize. The reason the big five are jumping on the fourth industrial revolution buzzwords as hard as they are is because they have run out of real, tangible innovations, and therefore run out of potential to grow.

[esinofsardis]

AI Is Inherently Counterrevolutionary

You've probably heard some arguments against AI. While there are fields where it has amazing applications (i.e. medicine), the introduction of language generative AI models has sparked a wave of fear and backlash. Much has been said about the ethics, impact on learning, and creative limits of ChatGPT and similar. But I go further: ChatGPT is counterrevolutionary and inherently, inescapably anti-socialist, anti-communist, and incompatible with all types of leftist thought and practice. In this essay I will...

...

Dammit im just going to write the whole essay cause this shit is vital

3 Reasons Leftists Should Not Use AI

1. It is a statistics machine

Imagine you have a friend who only ever tells you what they think you want to hear. How quickly would that be frustrating? And how could you possibly rely on them to tell you the truth?

Now, imagine a machine that uses statistica to predict what someone like you probably wants to hear. That's ChatGPT. It doesnt think, it runs stats on the most likely outcome. This is why it cant really be creative. All it can do is regurgitate the most likely response to your input.

There's a big difference between that statistical prediction and answering a question. For AI, it doesnt matter what's true, only what's likely.

Why does that matter if you're a leftist? Well, a lot of praxis is actually not doing what is most likely. Enacting real change requires imagination and working toward things that havent been done before.

Not only that, but so much of being a communist or anarchist or anti-capitalist relies on being able to get accurate information, especially on topics flooded with propaganda. ChatGPT cannot be relied on to give accurate information in these areas. This only worsens the polarized information divide.

2. It reinforces the status quo

So if ChatGPT tells you what you're most likely to want to hear, that means it's generally pulling from what it has been trained to label as "average". We're seen how AI models can be influenced by the racism and sexism of their training data, but it goes further than that.

AI models are also given a model of what is "normal" that is biased towards their programmers/data sets. ChatGPT is trained to mark neoliberal capitalism as normal. That makes ChatGPT itself at odds with an anti-capitalist perspective. This kind of AI cannot help but incorporate not just racism, sexism, homophobia, etc but its creators' bias towards capitalist imperialism.

3. It's inescapably expoitative

There's no way around it. ChatGPT was trained on and regurgitates the unpaid, uncredited labor of millions. Full stop.

This kind of AI has taken the labor of millions of people without permission or compensation to use in perpetuity.

That's not even to mention how much electricity, water, and other resources are required to run the servers for AI--it requires orders of magnitude more computing power than a typical search engine.

When you use ChatGPT, you are benefitting from the unpaid labor of others. To get a statistical prediction of what you want to hear regardless of truth. A prediction that reinforces capitalism, white supremacy, patriarchy, imperialism, and all the things we are fighting against.

Can you see how this makes using AI incompatible with leftism?

(And please, I am begging you. Do not use ChatGPT to summarize leftist theory for you. Do not use it to learn about activism. Please. There are so many other resources out there and groups of real people to organize with.)

I'm serious. Dont use AI. Not for work or school. Not for fun. Not for creativity. Not for internet clout. If you believe in the ideas I've mentioned here or anything adjacent to such, using AI is a contradiction to everything you stand for.

[thecurioustale]

Google Search Has Actually Gotten Better, Thanks to AI

In recent months (yes, months!; this is very recent; and it has especially kicked up just in the past one or two months), Google Search has become significantly more useful! This is entirely due to the integration of AI into their search results.

For years now, the usefulness graph of Google Search as a function of time has looked like the stock price of a dying company. Ruthlessly self-interested, low-quality SEO efforts by the marketing industry, together with Google's own strategic decision to turn its once-legendary search engine from the online equivalent of the Great Library of Alexandria into a portal for buying things and asking Jeeves simple questions, had diminished Google's usefulness for most search applications to almost nil. I had been reduced to using it to find links to Reddit and Quora posts, or doing much more in-depth searches to find good information sources directly with only a broken search engine to aid me.

Now, with the advent of AI integration into a new "AI Google Search" (I don't know what it's formally called, though the search results page labels it as "AI Overview"), one of the most important lost functions has been substantially restored: namely, the ability to ask more complicated questions—"complicated" either by way of complexity or obscurity—and get good answers!

This is huge.

For me, this has been coming up frequently in my Galaxy Federal research. I first noticed it earlier this year when I needed to find out how Cherry's voice pitch would be affected if she were in an atmosphere with a different composition from that of our own air. I hadn't been aware of the AI search functionality at the time, so had figured the answer out by myself the hard way—for good measure being hobbled in my efforts by the contemporary uselessness of conventional Google Search to return search results from the kinds of websites / sources I was looking for. And then I phrased one of my search queries as a question (I guess to see if Reddit had been over this at some point), and lo and behold Google AI answered me and confirmed my findings.

You can now ask Google Search some pretty complicated questions. Just a couple days ago I was curious about a sunscreen that could absorb X-rays, and wanted to learn more about the absorption of other wavelengths of electromagnetic radiation (the way sunscreen absorbs some ultraviolet light), and AI Google Search gave me a refreshingly serviceable set of answers. Nor are these cherry-picked examples; I've been benefitting from AI search results to my queries for some time now, on dozens of queries if not hundreds, and only just today I noticed that I should mention it. I wish I had written down the specifics of some of the best examples, because memory is a fickle thing. Needless to say, though, I have been both impressed and, more so, relieved. I have become used to enshittification as the default paradigm these days, so it is a genuine breath of fresh air whenever an application changes to actually be more useful.

These AI results are not magical. They are...let's put them in the slightly-better-than-Wikipedia league of "verify it for yourself." But usually that's all I need! For one thing, these AI results often include useful links where I can verify the information immediately. For another, just having a starter answer is usually enough to give me what I need to figure out how to arrive at the final answer. The other day I needed to know what the term is (presuming there is one) for transforming a signal from a higher frequency to a lower one. This kind of question has become needlessly and exceedingly difficult to answer through conventional Google Search, but the AI figured it out instantly, and gave me an answer that is correct for its domain. (It though I was talking about electronics. I wasn't, but having the answer ("downconversion") was all I needed to resolve my query.

The AI is very good. It genuinely parses my queries correctly—"understands my meaning," to use the anthropomorphic framing. I am genuinely impressed.

Conventional Google Search is only good for a few things nowadays. I still use it daily for some of those purposes. But to be able to ask these more complex questions again and get good answers is lovely! It's a sorely-needed victory for Information Retrieval in a very dark time for that domain. And, indeed, being able to phrase my queries as queries is basically new. In that narrower respect, this new search capability is even better than what we used to have in years past.

The Caveat

There is, of course, a caveat, and it's the same caveat that always arises with using the current crop of AI systems for information:

The answers it gives are not indexed / saved / learned. If you leave the tab open and come back to it a few days later, Google will generate a new AI answer to the same query. That is incredibly wasteful, not to mention frustrating for the end user, because it means you have to copy-paste those answers if you want to save them. You'll never see them again, otherwise.

The answers it gives are not consistent. In the above scenario, the new answer the AI generates will be different from the original one. For instance, with the X-ray query I mentioned earlier, I generated a new answer just now with the exact same query, and the new answer was missing a key piece of information that made the original one particularly useful. This means you might end up having to run the same query a few different times / different ways (i.e. phrasings), just in case the first answer that comes up isn't the one with the good info—and, many times, how would you know?

The answers it gives are not guaranteed to be accurate or complete. It has not been uncommon for me to encounter situations where I have independently known that the answers that AI Google Search was giving me were some combination of outright wrong and fatally incomplete. So you have to be careful. I want to say that AI Google Search has given higher-integrity answers than, say, ChatGPT. But it also might be that I'm biased because I've mainly been asking technical questions that perhaps aren't representative of questions in general with regard to the accuracy of answers. (And I only played around with ChatGPT very briefly, earlier this year.)

[youvebeenlivingfictional]

Proposal

Part One of Three Years

Masterlist | Year One

Pairing: Nathan Bateman x Reader

Rating: Explicit - 18+ Only.

Length: 4.3K

Notes: ....Hi! This is the first of 2-3 fic drops. I'm hoping to push all five chapters of this fic out this weekend. Also I started writing this before the current AI market explosion. Not beta-read. Never beta-read.

Warnings: Cursing; angst; enemies to enemies who fuck; tech-talk; angst (I know I said it before but really); Nathan being Nathan

Summary: He’s shorter than you thought he’d be.

Nathan Bateman isn’t unattractive, or short, even, he’s just…Shorter. 

Of all of the things that you thought you’d feel about Nathan Bateman’s visit, surprised wasn’t what you thought would be first. Shit-scared, sure. Insanely nervous, absolutely. Surprised by his height? Not on your list.

“This could be huge for us.” 

Jenn looks at once desperate and wild-eyed as she paces in her office. You watch her closely, taking in the dark circles under her dark eyes. Her typically California-tan skin is pallid from her recent late nights, and her days spent indoors. The company is running her ragged—and this potential seed money from Nathan Bateman is throwing her into the craziest tizzy you’ve ever seen. She sweeps her hands through her frizzed auburn hair before she raises her nails to her mouth.

“I mean,” She mutters, continuing to pace, voice muffled as she chews her nails, “If we get Bateman’s backing, that’d be great, but if I can get him on the board.” She stops finally, turning to face you, lowering her chewed nails from her mouth. “That would send us into the fucking stratosphere.” 

“...Okay,” You sit up a touch. You don’t want to be a buzzkill, but you need to bring Jenn down from the fucking stratosphere. “Nathan Bateman has scheduled a meeting. Okay? A meeting. One,” You raise your finger. 

“He’s having his team go over our numbers—” 

“I know that. He’s doing the due diligence that anyone coming in would be expected to do. Just, don’t put all of your eggs in one basket when we haven’t even gotten the basket yet.” 

“Come on,” Jenn groans. “I could be the next Steve Jobs!” 

“Yes, you absolutely could. But if you keep putting your focus on the idea stuff and not on the structure and application stuff, you’re going to be the next Elizabeth Holmes. And honey, I love you, but you do not look good in orange.” 

Jenn deflates just a little, slouching back against the windows that stretch from the floor to the ceiling. 

“...It clashes with my hair,” She grumbles. 

“I’m not saying don’t be excited at all," You insist, "I’m just saying…We’re bringing him in to talk about financing. How freaked out would you be if you went on a first date with someone and instead of asking for a second date, they said, Hey this was fun, let’s get married.”

“...Pretty freaked.” 

“Right. And asking someone to join the board is like a business-y 3.5 carat pear cut diamond on an infinity band. So. Let's schedule an All Hands, give the team a heads up, get them prepped. Before that, though, we need to get you some fucking lunch and some sunshine.” 

“You’re my sunshine.” 

“Awww,” You coo before you get up, adding, “Seriously. Get your phone and your sunglasses, we’re going out.” 

“But I have an email from prod—” 

“Production about the user profile settings set to drop at the end of the week. I know, I answered it already. Phone. Sunglasses. Lunch. Let’s go.” 

"You'll be here, right?"

You frown, shaking your head in slight confusion, and Jenn clarifies: "For his tour. You'll be here?"

You consider, glancing at your phone. If you can get the time off—but that's no guarantee.

"I'll try."

--  

When Jenn started Sc(ai)le three years ago, you’d had no idea that it would take off the way it would. You knew that Jenn was brilliant, you’d never had a doubt about that. But you couldn’t have anticipated how quickly varying industries moved to scale AI. Jenn had assembled a team of engineers, scientists, and sales reps. She trusts her teams, and they work hard to keep the company in motion.

But Jenn still insists in being very much hands-on everywhere she possibly can, sometimes to hers and the company’s detriment. She needs a Chief Knowledge officer, a Chief Information officer, and a Chief Marketing officer. She has a Chief Tech officer, a Chief Financial officer, a Chief Compliance officer, a Chief Data officer—all incredibly knowledgeable in their fields. She wants a board, too, but you’re worried that the company may still be too young for it. 

You work with the SVP of Marketing now and again, helping her to manage the way marketing materials are created, where they’re stored, and how they’re distributed. You’re working with Sc(ai)le part-time, on a temporary basis (though it’s technically been ‘temporary’ since the company started). Jenn needs an official team, with people that can work with her full-fucking-time. You have a full-time job at a separate tech company, one that’s well away from the AI space. You’d been worried their hackles would be raised when you informed them that you’d be taking a part-time position elsewhere, but they hadn’t even flinched. 

Hell, your manager had asked you if you’d be able to get them an employee discount. You may just have to take a few days off for Bateman’s visit.

You don’t blame Jenn for being so excited, or so nervous. 

Nathan fucking Bateman? This is huge. 

But if both of you have your heads in the fucking clouds, neither of you are gonna make it out of orbit. So you’ll keep yourself grounded, and bring Jenn back down to Earth if you absolutely have to. 

-- 

He’s shorter than you thought he’d be.

Nathan Bateman isn’t unattractive, or short, even, he’s just…Shorter. 

Of all of the things that you thought you’d feel about Nathan Bateman’s visit, surprised wasn’t what you thought would be first. Shit-scared, sure. Insanely nervous, absolutely. Surprised by his height? Not on your list.

You glance over at Jenn to find her tipping her chin up, slapping on her I Should Be On the Cover of Forbes smile. It’s the smile that’s brought every other investor on board. It’s the smile that’s brought on every single team member in the company. Now, you can only hope that it’ll bring Nathan Bateman into her coffers.

Where you’d typically leave Jenn to finesse any other investor, you stick close by. You trail Bateman and Jenn by a few steps as she directs him around the offices, and the facility. 

He asks a fair number of questions. A few are unexpected, but for the most part, they’re things that you and Jenn had anticipated. The three of you come to a stop overlooking a row of engineers. You don’t want to appear nonchalant, but with Bateman and Jenn focused elsewhere, you allow yourself to lean back against the wall, eyeing the room. It’s then that you see an engineer flagging you down, a harried look on her face. You glance toward Bateman and Jenn’s heads and make sure they’re distracted before you push yourself off of the wall, skirting around the two and walking over to her as calmly as possible. 

“What’s up?” You ask, crouching down beside the engineer’s desk. 

“The marketing team sent through a brief about the user profiles—” 

“Uh-huh—” 

“And there’s an error regarding the, uh—The functionality.” 

“Okay. Where’s the problem, what’s the fix?” 

“Our systems are starting at Mac- or Blue-OS compatible.” 

“But not Windows?” 

“Most of the companies we use don’t touch Windows OS anymore.” 

“But we have got a few clients that do.” 

“Yes, we’re—We’re working on it. But this can’t go out like this, it’s not correct.” 

“Okay,” You nod, mind racing through the possible, necessary fixes. “Okay. Could I use your laptop for a second?” 

“Sure.” 

The engineer starts to stand, but you wave her back into her seat, just turn the laptop toward yourself. You hurriedly log into your email on a web page, and tap out an email to the marketing SVP. 

“Mac and Blue only,” You reiterate as you type. 

“—But not Windows, yep.” 

“Do we have an expected date on Windows functionality?” 

“Q2 of next year—Maybe Q1, but—” 

“We don’t wanna over-promise and underdeliver,” You shoot the engineer a smile. “I appreciate the honesty.” 

The engineer nods hurriedly. You feel her casting a glance behind you, but you’re already turning back to the laptop, practically hammering the keys as you send out the message. You lean back, reading and rereading the message before you CC your work email, Jenn’s, and the engineer in question. Then you send it, straighten up, and sign out of the email. 

“I’ve put myself and Jenn on the email, we will take it from here. Thank you so much for flagging that—And if anything comes up, please text, email, slack me. Anything.” 

“Thank you!” 

“No, thank you,” You insist, patting her shoulder. You straighten and turn, and freeze immediately at the sight of Jenn and Bateman standing just behind you. You swallow thickly, fighting to keep a straight face. 

“I didn’t mean to hold up the tour,” You apologize. “You guys could’ve moved on, I would’ve caught up.” 

“Everything alright?” Bateman asks, nodding toward the engineer. 

“Yes. Just a little communications update.” You give them both a reassured smile. “Why don’t we continue?” You add, nodding down the hall. 

--  

“What are you doing for dinner tomorrow?” 

It’s a question that he should be asking Jenn, and that’s why your mouth works wordlessly, your brow furrowing heavily. It’s a bad look—Nathan Bateman has asked you a simple question, and you’re floundering like a landed fish. 

“Uh—Shoving something in the microwave, probably?” You manage with a shaky laugh as you put your laptop into your bag. You haven't been able to take the time off as much time as you’d hoped, and you’ll have to make up what time you have taken to keep yourself on track. “I’m working a double, so, I’ll get off shift around one in the morning.” 

“A double.” 

“...Yes? It’s when you work two shifts at—” 

“I know what a double is.” 

Jeez, of course he does. 

“Right. Sorry. You seemed—...Anyway.” 

“I seemed what?” 

Confused is the wrong word to use with this man. 

“Inquisitive?” You offer. Nathan’s brows tip impossibly higher, his chin angling down to gaze at you over the tops of his glasses. 

“One,” He finally confirms. “How’s 1:30 for you?” 

“For what?” 

“For dinner.” 

“I—I don’t think I’ve ever eaten dinner that late in my life. I don’t even go out that late anymore.” 

“But you’ll make an exception?” 

“Do I have to?” 

When he smiles, you know that you will have to. 

“I’ll send you the details.” 

That’s it. He breezes away from your desk space. He doesn’t offer to walk you to your car; he doesn’t ask you any questions about what you want to eat, or what you like to eat. He just walks away. You look after him for a moment before you look down, taking up your laptop chord and wrapping it with a mutter of, 

“Dinner at 1:30 in the morning? Not in fucking college anymore…What’s even gonna be open that late for fucking dinner?” 

You think, and then giggle. 

Maybe Nathan Bateman is going to take you to McDonald’s. 

--  

“You ever been here before?” 

“Uhh…” You peer down at the menu. It’s timeworn, and splattered with what look like gravy stains. At least—well, you hope it’s gravy. “Nope, can’t say I have.” 

The diner has a vintage bent to it. The seats are all coated in robin’s egg blue vinyl; the floor is tiled like a checkerboard; the walls are pepto-pink. There’s a jukebox in the corner, but the oldies being played in the diner are coming from a few recessed speakers in the ceiling. You glance up again as you hear Bateman shifting in his seat. He’s lounging back in his seat like he owns the damn place. 

…Maybe he does own the damn place. 

It could explain why they’re open so late, at least. There are a few other people in the diner, a ways away. Now and again, an explosive swell of cackling laughter will pass over your way before one of their party hurries to hush them. You glance back curiously as you hear one of them add, 

“Dude, you’re gonna get us kicked out again.” 

“So how long have you known Jenn?” Bateman asks. 

“Oh, gosh,” You turn back to him. “Since Kindergarten. She’s my oldest friend.” 

“You two seemed pretty close during the tour yesterday.” 

“Did we?” 

“Insomuch as you were her shadow.” 

You close your mouth, reaching for your water. You had shadowed because Jenn had asked—but you’re in no position to quibble with this man. You’ve no need, either; he goes on: 

“How was your double?” 

“It was fine.” 

“What are you working on?” 

“I work at a company that produces technical books and longform guides for—” 

“I know where you work, that wasn’t my question. What are you working on.” 

The bored, irritated tone in his voice raises your hackles, and it leaves a bitter taste in your mouth. But you swallow your annoyance in favor of giving a straightforward answer: “Right now, a quantum software engineering roadmap.” 

“Are you enjoying it?” 

“The writing can be a little dry, but the subject matter is interesting.” 

“Hm…” Bateman nods, his eyes sweeping your face curiously. You fight the urge to shift or fidget under the scrutiny of his gaze. 

Can you ask questions? Are you allowed? Why does this man make you feel like you’re in a damn interview? Your gazes break as a waitress comes over, a pad in hand and an expectant smile on her face. You instinctively offer her one in return as you order. You don’t really hear what Bateman orders; you’re too busy wracking your mind for things that came up on yesterday’s tour—pain points, questions that Jenn promised she’d get back to him on. 

“So,” Bateman’s voice snaps your focus back to him, and you arch your brows as you meet his eyes again. “In your opinion, what’s the company lacking?” 

It’s a slap of a question. Your brows manage to inch higher. Oh…God. No wonder he didn’t want to do this with Jenn around.

“Uh…” Is your initial succinct answer. You clear your throat, taking your glass up for another sip, gathering yourself. You could say that Jenn has everything she needs, save for capital. You could say that the team is rowing as one one, your little unsinkable ship, the Sc(ai)le. 

But Nathan Bateman is a genius, and a billionaire, and a man with a low tolerance for bullshit. 

“She needs a complete C-Suite,” You admit firmly as you set your glass aside. “She needs a solid, knowledgeable team behind her. We’re doing the best that we can now, and the Chief positions that she has filled are pushing the company in the right direction, but the ones that she doesn’t are slowing down growth. We need a CMO and a CKO and a CIO, like...Yesterday. We have a lot of data, and we have a lot of marketing materials—and the seniors VPs in those positions are doing the best they can, but you can only fill a leaky bucket so many times before the handle breaks. The company doesn’t have the capital to bring those positions on, and until it does, the company’s going to continue to grow at half-speed because the plane’s being flown while it's still being built."

Bateman doesn’t react for a moment. His silence makes your stomach twist with nerves; your palms are sweating. 

“I didn’t think you’d say that,” He finally says. You can’t help but laugh a little. 

“Look—I could tell you that we’re all one happy family, and that the only thing wrong is the fact that bluebirds don’t land on our shoulders and code for us—” Your stomach flips as Bateman’s lips twitch with a smile, “But you’ve already been inside. You’ve looked through our books, you’ve seen the facility. And if you’re going to go in on investment, you’re going to see the dirty laundry anyway. I may as well show you where the hamper is.” 

“You like your metaphors.” 

“It’s the writer in me.” 

Bateman’s brow quirks a touch as he nods. 

“...Why aren’t you full time?” He asks. That question throws you for a loop. You shake your head a little—like it’ll knock an answer loose. But the answer—the truth—is that you and Jenn haven’t worked well together in the past. Sure, you’re part-time now, but you hardly ever interfere with her day-to-day unless it’s to coax her out of her office to get some air or a meal. You prefer to take your time with a project, and Sc(ai)le is in a growth period where time is of the essence. 

“...It’s not…” You start, brow furrowing as you grapple for a reasonable answer, “What Sc(ai)le does, it isn’t what I do.” 

“The company has technical writers.” 

“...Yeah—” 

“It needs someone that knows how to compile the information, translate it for the average consumer—” 

“But—” 

“Just tell me they can’t afford you.”  

Your chest twinges with indignation. 

“That’s not true,” You insist. 

“So they can afford you.” 

“That’s not what I—” 

“Which one is it?” 

“You’re twisting my words, and I don’t appreciate that.” It leaves you more harshly than it should, and you damn your tone immediately. There’s no way scolding this man is gonna bring him on board. You realize that your shoulders have scrunched defensively and risen toward your ears, and you force yourself to relax them. But Nathan’s lips just twitch again, his eyes bright with amusement. 

“...Why aren’t you full-time?” He repeats. 

“I told you. This isn’t what I do.” 

“It could be.” 

You don’t want to make the concession, but the look on Bateman’s face tells you that he’s got you pinned. So you give a small, begrudging nod. 

“Hypothetically.” 

His smile widens at your confirmation. You want to smack him. 

But that really won’t bring him on board. 

--  

You expect Jenn to grill you for your time with Nathan the second you get in, but she’s grabbing your hand and hissing, “He’s here, and he’s waiting.” 

“What?” You ask dazedly, pulling your sleeve back to eye the watch face where it rests on the inside of your wrist. “He’s not supposed to be here for another two hours! I didn’t see an email—”

“He didn’t send one! He just showed up!”

You pull Jenn to a stop in the hall, slowing her with a gentle, “Whoa, whoa—Okay. Look at me.” 

Jenn stops, eyes wide, head shaking minutely as she tries to continue walking toward the conference room, insisting, “We’re already late—” 

“Slow down!” You urge. She looks stricken, and you immediately feel guilty. You take her hand in yours, giving it a squeeze before drawing in a deep breath. Jenn hesitantly does the same, pushing it out when you do. You draw in another, and are relieved as she copies you, some of the tension melting from her face as she closes her eyes. You watch her pull in and push out one more deep breath before she opens her eyes slowly, nodding. 

“Thank you,” She breathes, patting your hand before she tugs down the hall again. 

--  

“I like what I’m seeing.” 

Bateman’s assertion shouldn’t surprise you, but it does. Sc(ai)le is a good company, something that would make sense in his portfolio. But he’s so steady and calm as he peers out of the office of Jenn’s window. 

You don’t like how he’s commandeered the space behind her desk. She shouldn’t be sitting on the other side of it with you; she should be behind it, with him—or he should be on your side. 

Still, Nathan pushes himself off of the window, turning to face Jenn. His gaze flickers to you before he looks down at something laid out on the desk. 

“Your initial proposal was…Whadda we got here…” Bateman tuts as he turns a page. You think he must be dragging it out for suspense—there’s no way he doesn’t have those numbers memorized. Sure, it must be chump change to him, but it’s still a big fucking number. “One million for a fifteen percent stake in the company.” 

“That’s right,” Jenn nods. 

“I’ll give you four.” 

“...Four?” Jenn repeats dazedly. 

“Four million for what percent?” You ask before she can leap up, kiss the man on the lips, and accept. 

“Fifteen,” Bateman affirms. Your eyes narrow at him. This doesn’t feel right. He adds, “I have one condition, though.” 

“Name it,” Jenn nods. You glance at her nervously. You’re certain that if he told her to strip naked and run through the office covered in spray cheese, she’d do it right this second. 

“You come on as CKO, CIO, and CMO.”

Your brow furrows as Jenn turns to you. Who comes on? Jenn? She’s already CEO for fuckssake—

And then Jenn turns to you, eyes wide and insistent as she nods toward Bateman. Your head snaps to him, stunned. He’s waiting with that same patient, bored expression that he'd given you with all throughout dinner. 

“You want me to take on three C-Suite positions?” You ask, brows raising. “Are you that strapped for cash that you won’t spring for two more people?” 

Jenn hisses your name in warning. You know it’s the wrong thing to say, but to your surprise, Bateman just smiles and leans against Jenn’s desk. 

“Hear me out,” He waves your irritation off. “I want to roll the positions of CKO and CIO into one. Chief Knowledge and Information officer.” 

“And add Chief Marketing officer on top of them.” 

“That’s right. You’re much quicker on the uptake than you were the other night. No, it’s alright—I’m sure the double shift and the late dinner had you off your game.” 

You want to argue, but Nathan is already turning his attention to Jenn. 

“Four mill for a fifteen percent stake,” He reiterates before nodding toward you. “And her.” 

What would Jenn get if you didn’t come on? One million at fifteen? Two million at thirty? Nothing at all? You can’t bring yourself to look at Jenn just now—you know you’re getting a pleading expression. So you keep your eyes on Bateman, and his expectant expression. He knows he’s got you backed into a corner. 

“...Does this condition have a term limit?” You ask. Bateman purses his lips, seeming to think for a moment. Then he levels you with an ungodly answer:

“Three years.” 

You feel like you’ve been punched in the gut. You only just manage not to double over with it. Three years. Three years inhabiting two positions that you never wanted or asked for. Three years working with your oldest friend on her passion project, knowing that you will lock horns on approach. Three years of Nathan Bateman hanging over your head. 

You can’t face Jenn. One look at those hopeful, doe-like eyes and you’re going to fold like a house of cards. You can’t look at Bateman. One look at him and you’re going to lunge in, slap him silly, and ask what the fuck is wrong with him. 

You look down at your lap. 

Three years. Three years or what? Nathan pulls his backing? Asks for repayment? That could level the company, and everything that Jenn has worked for would disappear overnight. 

Three years. 

You don’t ask about the pay. You don’t care about that. You’re not doing badly as it is. Two C-Suite positions (well, three) would surely pay you more than you make now, but still. 

Three years. 

You’ve been considering leaving your current job. You’ve been chugging along happily, though you’ve started to get too settled, too bored. Too complacent. But you've been ducking away from management positions at job after job because you just don't want to be in charge of people. You want to be fully in the action, working on the words, not floating above them and giving them a thumbs up or a thumbs down. This isn’t like anything you’d consider throwing yourself into. 

Three years. 

This is bigger than you and Jenn. Pumping more money into this company would give Sc(ai)le the chance to expand its staff, upgrade it's tech, bring on a more comprehensive QA team.

You draw in a deep breath, giving a small hesitant nod. 

“Alright,” Leaves your mouth before you can talk yourself out of it. 

“You’ve got yourself a deal,” Bateman bats back without missing a beat. You can hear a note of triumph there, one that makes you want to reach into his throat and rip out his layrnx. Jenn is springing out of her seat, pumping Bateman’s hand enthusiastically and telling him that he won’t regret it. You’re staring down at your hands, your head and chest feeling hollow, like you’ve just been jailed for three consecutive life sentences. 

Three years. 

Bateman’s hand enters your field of vision, outstretched and patient. You eye it for a moment. 

You could still tell him to go fuck himself. But you glance up at Jenn, and find her beaming down at you. Her eyes are bright with joyful tears; her hands are clasped to keep from visibly shaking. 

You can’t tell him to go fuck himself, and he knows it.

So you suck in a deep breath and raise your hand, shaking Bateman’s without meeting his gaze. 

“We should grab a drink to celebrate,” He insists. You let go of his hand and push yourself up shakily. 

“I—Have some things I need to sort out. You two go on,” You add, slapping on an encouraging smile and turning to Jenn. 

“Sure,” Bateman concedes. “You have a letter of resignation to write.” 

You pat Jenn’s shoulder on the way out, hardly meeting Bateman's eye as you go. You get into your car, and drive back to your apartment. You mechanically unlock your door, drop your keys in the bowl by the entryway, kick your door shut. You don’t bother to turn the lights on. The sun is streaming in through your front window with a vengeance. You walk over to your bar cart and take up a bottle of whiskey. You don’t bother with a glass. You just plop into your favorite armchair and curl up. You don’t cry. You don’t scream. You just stare blankly at the wall. 

Three years. 

Next Part: Year One

Tag list: @missredherring ; @fantasticcopeaglepasta ;  @paintballkid711 ; @massivecolorspygiant ; @blueeyesatnight; @recklessworry ; @amneris21 ; @ew-erin ; @youngkenobilove ; @carbonated-beverage ; @lorecraft ; @moonlightburned ; @milf-trinity ; @nolanell ; @millllenniawrites ; @chattychell ; @dihra-vesa​ ; @videogamesandpoorlifechoices​ ; @missswriter ; @thembosapphicclown ; @brandyllyn ; @wildmoonflower ; @buckybarneshairpullingkink ; @mad-girl-without-a-box ; @winchestershiresauce ; @aellynera ; @writefightandflightclub ; @thedukeofcaladan ; @beepboopyoda ; @foxilayde ; @revolution-starter ; @rachelwritesstuff ; @queen-of-elves

[spacetimewithstuartgary]

New diagnostic tool will help LIGO hunt gravitational waves

Machine learning tool developed by UCR researchers will help answer fundamental questions about the universe.

Finding patterns and reducing noise in large, complex datasets generated by the gravitational wave-detecting LIGO facility just got easier, thanks to the work of scientists at the University of California, Riverside. 

The UCR researchers presented a paper at a recent IEEE big-data workshop, demonstrating a new, unsupervised machine learning approach to find new patterns in the auxiliary channel data of the Laser Interferometer Gravitational-Wave Observatory, or LIGO. The technology is also potentially applicable to large scale particle accelerator experiments and large complex industrial systems.

LIGO is a facility that detects gravitational waves — transient disturbances in the fabric of spacetime itself, generated by the acceleration of massive bodies. It was the first to detect such waves from merging black holes, confirming a key part of Einstein’s Theory of Relativity. LIGO has two widely-separated 4-km-long interferometers — in Hanford, Washington, and Livingston, Louisiana — that work together to detect gravitational waves by employing high-power laser beams. The discoveries these detectors make offer a new way to observe the universe and address questions about the nature of black holes, cosmology, and the densest states of matter in the universe.

Each of the two LIGO detectors records thousands of data streams, or channels, which make up the output of environmental sensors located at the detector sites. 

“The machine learning approach we developed in close collaboration with LIGO commissioners and stakeholders identifies patterns in data entirely on its own,” said Jonathan Richardson, an assistant professor of physics and astronomy who leads the UCR LIGO group. “We find that it recovers the environmental ‘states’ known to the operators at the LIGO detector sites extremely well, with no human input at all. This opens the door to a powerful new experimental tool we can use to help localize noise couplings and directly guide future improvements to the detectors.”

Richardson explained that the LIGO detectors are extremely sensitive to any type of external disturbance. Ground motion and any type of vibrational motion — from the wind to ocean waves striking the coast of Greenland or the Pacific — can affect the sensitivity of the experiment and the data quality, resulting in “glitches” or periods of increased noise bursts, he said. 

“Monitoring the environmental conditions is continuously done at the sites,” he said. “LIGO has more than 100,000 auxiliary channels with seismometers and accelerometers sensing the environment where the interferometers are located. The tool we developed can identify different environmental states of interest, such as earthquakes, microseisms, and anthropogenic noise, across a number of carefully selected and curated sensing channels.”

Vagelis Papalexakis, an associate professor of computer science and engineering who holds the Ross Family Chair in Computer Science, presented the team’s paper, titled “Multivariate Time Series Clustering for Environmental State Characterization of Ground-Based Gravitational-Wave Detectors,” at the IEEE's 5th International Workshop on Big Data & AI Tools, Models, and Use Cases for Innovative Scientific Discovery that took place last month in Washington, D.C.

“The way our machine learning approach works is that we take a model tasked with identifying patterns in a dataset and we let the model find patterns on its own,” Papalexakis said. “The tool was able to identify the same patterns that very closely correspond to the physically meaningful environmental states that are already known to human operators and commissioners at the LIGO sites.”

Papalexakis added that the team had worked with the LIGO Scientific Collaboration to secure the release of a very large dataset that pertains to the analysis reported in the research paper. This data release allows the research community to not only validate the team’s results but also develop new algorithms that seek to identify patterns in the data.

“We have identified a fascinating link between external environmental noise and the presence of certain types of glitches that corrupt the quality of the data,” Papalexakis said. “This discovery has the potential to help eliminate or prevent the occurrence of such noise.”

The team organized and worked through all the LIGO channels for about a year. Richardson noted that the data release was a major undertaking. 

“Our team spearheaded this release on behalf of the whole LIGO Scientific Collaboration, which has about 3,200 members,” he said. “This is the first of these particular types of datasets and we think it’s going to have a large impact in the machine learning and the computer science community.”

Richardson explained that the tool the team developed can take information from signals from numerous heterogeneous sensors that are measuring different disturbances around the LIGO sites. The tool can distill the information into a single state, he said, that can then be used to search for time series associations of when noise problems occurred in the LIGO detectors and correlate them with the sites’ environmental states at those times.

“If you can identify the patterns, you can make physical changes to the detector — replace components, for example,” he said. “The hope is that our tool can shed light on physical noise coupling pathways that allow for actionable experimental changes to be made to the LIGO detectors. Our long-term goal is for this tool to be used to detect new associations and new forms of environmental states associated with unknown noise problems in the interferometers.”

Pooyan Goodarzi, a doctoral student working with Richardson and a coauthor on the paper, emphasized the importance of releasing the dataset publicly. 

“Typically, such data tend to be proprietary,” he said. “We managed, nonetheless, to release a large-scale dataset that we hope results in more interdisciplinary research in data science and machine learning.”

The team’s research was supported by a grant from the National Science Foundation awarded through a special program, Advancing Discovery with AI-Powered Tools, focused on applying artificial intelligence/machine learning to address problems in the physical sciences. 

[jobmentorai]

Master Your Job Interview with Live AI Support

In today’s hyper-competitive job market, having the right qualifications is just the beginning. Employers are looking for confident, well-prepared candidates who can communicate their value clearly and concisely. This is where Job Mentor AI becomes your secret weapon.

Whether you're a student entering the workforce, a professional eyeing a promotion, or someone looking to pivot into a new industry, you need more than just traditional prep. You need personalised, intelligent coaching and Job Mentor AI delivers just that through cutting-edge AI technology tailored to your unique journey.

What is Live Interview Assist?

The Live Interview Assist feature is a breakthrough tool that provides real-time support during your interviews, whether it's a mock session or the real deal. It listens, analyses, and offers instant, AI-driven feedback on your responses. Think of it as your virtual career coach sitting beside you during those high-stakes moments.

Key features include:

Live Transcription of your answers for easy review

Instant Feedback & Suggestions to improve your responses on the fly

Real-Time Interview Assistance

Works seamlessly across various platforms like Zoom, Google Meet, and Teams

Why Use AI for Interview Prep?

Traditional interview prep methods like practising interviews or generic YouTube tips are outdated and often ineffective. They lack personalisation, real-time feedback, and data-driven analysis, all of which are critical for true growth. That’s where AI shines.

Job Mentor AI leverages artificial intelligence to elevate your preparation by offering:

Tailored Interview Strategies: Every candidate is different. The platform adapts to your strengths, weaknesses, and career goals to build a preparation path that works.

Insight-Driven Coaching: Instead of vague advice, you receive performance metrics like speaking pace, filler word usage, clarity, and confidence indicators. These insights help you target exactly what needs improvement.

Real-Time Adaptability: The AI evaluates your answers live and offers tweaks that you can implement on the spot, making your prep more agile and efficient.

Continuous Learning Loop: Every session becomes a data point that helps the system get smarter about you, enabling more personalised recommendations over time.

Job Mentor AI: Your Complete Career Companion

Job Mentor AI is more than a one-trick tool. It's a full-fledged career readiness platform designed to support every stage of the job-seeking journey.

Here’s what else it offers:

AI-Powered Cover Letter Generator Writing cover letters can be a tedious, confusing task, but it doesn’t have to be. With AI cover letter generator, you can generate compelling, role-specific cover letters in minutes, using language that resonates with hiring managers and passes applicant tracking systems (ATS).

Mock Interview Simulations with Feedback Run a fully simulated AI mock interview practice that mimics real-world scenarios. The AI acts as a virtual interviewer and evaluates your answers in real time,  just like a human coach would, but with zero judgment and 24/7 availability.

Interview Q&A Generator Generate custom question sets for your specific role or industry. Whether you’re interviewing for a software engineering job or a marketing role, you’ll get realistic, challenging questions to practice with from your very own AI Interview Answer Generator.

Together, these tools form a career success ecosystem that equips you with everything you need, not just to land interviews, but to crush them.

Who’s It For?

Job Mentor AI is not just for tech professionals or executives. It’s for anyone who wants to take control of their career narrative and perform confidently under pressure.

Whether you are:

A recent graduate with little interview experience

A mid-level professional switching industries

A career returnee after a break

An experienced executive preparing for C-suite interviews

Job Mentor AI tailors its feedback, content, and tools to your specific goals, experience level, and industry.

Explore Now & Try Live Interview Assist

Whether you’re entering the job market, navigating a career change, or striving to advance within your field, this tool is designed to support your progress with intelligence, precision, and flexibility.

Discover how Live Interview Assistant works and how Job Mentor AI can help you prepare more effectively, respond more thoughtfully, and present yourself more compellingly in any interview setting.

[scamornoreviews]

Is AT8XM Robot Legit Or Not? - AT8XM Robot PayPal Review

Explore the AT8XM Robot Paypal Review to uncover how this AI-driven forex trading system operates, its PayPal integration, and why it could be a game-changer for both new and seasoned traders.

The AT8XM Robot Paypal system combines artificial intelligence with PayPal integration to simplify forex trading. Learn how it works, who it’s for, and what makes it an appealing choice for automated traders.

Introduction

Let’s face it—forex trading can be a tricky beast. With markets shifting in the blink of an eye and economic news constantly rolling in, it’s tough to stay ahead of the curve. That’s where the AT8XM Robot Paypal steps into the spotlight. This AI-powered forex trading tool doesn’t just promise ease of use and smart trading; it also connects with PayPal, making transactions smooth as silk.

So, whether you're green around the gills or a trading veteran, this review will walk you through what makes the AT8XM Robot Paypal stand out in the world of automated forex systems.

What Is AT8XM Robot Paypal?

The AT8XM Robot Paypal is an automated forex trading application that leverages AI to scan markets, spot trading opportunities, and execute trades without needing constant human input. As if that wasn’t enough, it’s designed to be compatible with PayPal, adding a trusted layer of convenience for users handling deposits and withdrawals.

Top Features at a Glance

Smart AI Trading Engine

24/7 Market Monitoring

PayPal Payment Integration

User-Friendly Dashboard

Beginner-Friendly Setup

Real-Time Data Analysis

Customizable Risk Settings

This robot doesn’t sleep, doesn’t hesitate, and doesn’t complain—it just keeps scanning the forex market, aiming for profitable trades while the user can sit back and relax.

How AT8XM Robot Paypal Works

It might sound like rocket science, but the logic behind the AT8XM Robot Paypal is fairly straightforward:

Setup & Connect Broker – Users first create an account and connect it with a recommended broker.

Link PayPal – Funds can be deposited or withdrawn using PayPal, adding a layer of convenience.

Activate Robot – Once active, the robot starts scanning market conditions in real-time.

Trade Execution – Based on algorithmic decisions, it places trades aimed at maximizing profit.

Profit Monitoring – All gains go straight into the broker account, accessible via PayPal.

Pretty neat, huh? With minimal effort, users get a full-fledged trading partner running in the background.

Why Traders Are Buzzing About AT8XM Robot Paypal

There’s no shortage of reasons why this trading tool is gaining popularity:

Saves Time – No need to analyze charts all day.

Emotion-Free Trading – Decisions are driven by data, not by human impulse.

Trusted Payments – PayPal support adds an extra layer of user trust.

Ease of Use – Setup takes minutes, not hours.

Flexible Trading Options – Users can set their own trading limits and preferences.

Low Barrier to Entry – No prior trading knowledge required.

Who Stands to Benefit from AT8XM Robot Paypal?

The short answer? Just about anyone looking to dip their toes into the forex market or take their trading to the next level.

Complete Beginners – It’s plug-and-play simplicity helps new traders ease in.

Busy Professionals – They can let the bot do the legwork while they focus on other things.

Cautious Investors – The customizable risk settings are ideal for those who like to play it safe.

Experienced Traders – Automation lets them scale their strategies without burning out...

Is AT8XM Robot Legit Or Not? Full AT8XM Robot PayPal Review here! at https://scamorno.com/Robot-AT8XM-Review-App/?id=tumblr-legitornotpaypal

Security & Reliability: Is It the Real Deal?

Ah, the million-dollar question. The AT8XM Robot Paypal is reportedly backed by strong encryption and secure broker partnerships. And when PayPal’s in the mix, users often feel a bit more at ease, knowing that their transactions are protected by one of the most trusted online payment platforms out there.

Still, no system is perfect. As always, users should stick with well-reviewed brokers and do a touch of homework before diving in headfirst.

FAQs About AT8XM Robot Paypal

1. Is AT8XM Robot Paypal compatible with any broker?

Not quite. It usually works best with specific recommended brokers that support its integration and features.

2. Do I need trading experience to use it?

Nope! The platform is beginner-friendly, offering automated decisions without requiring deep knowledge of the forex market.

3. How does PayPal come into play?

Users can link their PayPal accounts for depositing and withdrawing funds, which adds a safe and well-known payment method into the mix.

4. Are the profits guaranteed?

Well, let’s not count chickens before they hatch. Like all trading, there’s risk involved. However, the robot is designed to increase the odds in the user’s favor.

5. Can I adjust the robot’s settings?

Absolutely! Users can customize risk levels, stop-loss limits, and trade sizes according to their comfort level...

Is AT8XM Robot Legit Or Not? Full AT8XM Robot PayPal Review here! at https://scamorno.com/Robot-AT8XM-Review-App/?id=tumblr-legitornotpaypal

[govindhtech]

Pegasus 1.2: High-Performance Video Language Model

Pegasus 1.2 revolutionises long-form video AI with high accuracy and low latency. Scalable video querying is supported by this commercial tool.

TwelveLabs and Amazon Web Services (AWS) announced that Amazon Bedrock will soon provide Marengo and Pegasus, TwelveLabs' cutting-edge multimodal foundation models. Amazon Bedrock, a managed service, lets developers access top AI models from leading organisations via a single API. With seamless access to TwelveLabs' comprehensive video comprehension capabilities, developers and companies can revolutionise how they search for, assess, and derive insights from video content using AWS's security, privacy, and performance. TwelveLabs models were initially offered by AWS.

Introducing Pegasus 1.2

Unlike many academic contexts, real-world video applications face two challenges:

Real-world videos might be seconds or hours lengthy.

Proper temporal understanding is needed.

TwelveLabs is announcing Pegasus 1.2, a substantial industry-grade video language model upgrade, to meet commercial demands. Pegasus 1.2 interprets long films at cutting-edge levels. With low latency, low cost, and best-in-class accuracy, model can handle hour-long videos. Their embedded storage ingeniously caches movies, making it faster and cheaper to query the same film repeatedly.

Pegasus 1.2 is a cutting-edge technology that delivers corporate value through its intelligent, focused system architecture and excels in production-grade video processing pipelines.

Superior video language model for extended videos

Business requires handling long films, yet processing time and time-to-value are important concerns. As input films increase longer, a standard video processing/inference system cannot handle orders of magnitude more frames, making it unsuitable for general adoption and commercial use. A commercial system must also answer input prompts and enquiries accurately across larger time periods.

Latency

To evaluate Pegasus 1.2's speed, it compares time-to-first-token (TTFT) for 3–60-minute videos utilising frontier model APIs GPT-4o and Gemini 1.5 Pro. Pegasus 1.2 consistently displays time-to-first-token latency for films up to 15 minutes and responds faster to lengthier material because to its video-focused model design and optimised inference engine.

Performance

Pegasus 1.2 is compared to frontier model APIs using VideoMME-Long, a subset of Video-MME that contains films longer than 30 minutes. Pegasus 1.2 excels above all flagship APIs, displaying cutting-edge performance.

Pricing

Cost Pegasus 1.2 provides best-in-class commercial video processing at low cost. TwelveLabs focusses on long videos and accurate temporal information rather than everything. Its highly optimised system performs well at a competitive price with a focused approach.

Better still, system can generate many video-to-text without costing much. Pegasus 1.2 produces rich video embeddings from indexed movies and saves them in the database for future API queries, allowing clients to build continually at little cost. Google Gemini 1.5 Pro's cache cost is $4.5 per hour of storage, or 1 million tokens, which is around the token count for an hour of video. However, integrated storage costs $0.09 per video hour per month, x36,000 less. Concept benefits customers with large video archives that need to understand everything cheaply.

Model Overview & Limitations

Architecture

Pegasus 1.2's encoder-decoder architecture for video understanding includes a video encoder, tokeniser, and big language model. Though efficient, its design allows for full textual and visual data analysis.

These pieces provide a cohesive system that can understand long-term contextual information and fine-grained specifics. It architecture illustrates that tiny models may interpret video by making careful design decisions and solving fundamental multimodal processing difficulties creatively.

Restrictions

Safety and bias

Pegasus 1.2 contains safety protections, but like any AI model, it might produce objectionable or hazardous material without enough oversight and control. Video foundation model safety and ethics are being studied. It will provide a complete assessment and ethics report after more testing and input.

Hallucinations

Occasionally, Pegasus 1.2 may produce incorrect findings. Despite advances since Pegasus 1.1 to reduce hallucinations, users should be aware of this constraint, especially for precise and factual tasks.

[exileandtrust]

Do you use AI?

I do not.

Furthermore, I actually did spend time studying both generative AI models and machine learning in college so I had some foundation for this before it really hit the mainstream. Machine learning (statistics)? Useful actually, good for finding statistical patterns humans otherwise would not find. Also good for pattern recognition in images, such as examining cancerous patterns in CT-scans. It supplements human abilities but does not usurp them. Do note that some people use these terms interchangeably without knowing their meanings, make sure to understand the particular application someone is talking about before condemning it.

Generative AI (graph theory)? 1 billion times more silly and stupid than people realize. I have unfortunately had the privilege of explaining how something like chat GPT was made and functions to high level professional engineers who had not had the chance to study it and had to hear them go, '...that's it? surely there's something more-' 'no, this is really all it is doing.' 'really?' 'yes. really.'

The twelve thousand foot explanation is this: Chat GPT was likely created by taking a training set of nearly the entire clear net, likely the common crawl dataset, then creating correlations between frequently occurring three to four character strings (called tokens). So if my input is, 'how many states are in the united states?' and it happens to get that right, it's because the tokenization of my question returned the average token response of 'there are fifty states in the united states of America' (etc. usually chat gippity inserts a lot more 'polite' boilerplate in it's answers). It has no understanding, it doesn't even understand what individual words mean. It's all about frequency. Kyle Hill actually has a good video explaining this.

It's also worth noting that because the generative AI model cannot be 'programmed' or 'modified' after creation, moderation AI is used on the user request side and the AI response side to keep everything appropriate. So the flow looks like this:

User request -> moderation AI -> (if passes) send request to GPT model -> moderation AI to check output -> return appropriate output to user. (Source: chat gpt-4 system card, see section 4.1)

This moderation AI or filtering is how they do things like tell chat gpt to stop returning heinous lies about an individual, they simply told the filter 'reject inquiries with this individual's name' because there is no way to actually remove this from the GPT model itself. No one is able to pinpoint individual connections between tokens, so moderation must be on input and output.

The moderation model used here was likely what is called 'supervised' or 'labelled' learning, which means that some poor souls had to read an enormous corpus of inappropriate text and label it accordingly to help create a moderation AI.

There's a lot (LOT) more I could say but this post is getting long. I'm also not an 'expert' in this field, I just like to stay informed because of my technical role.

Basically, AI is unethical all the way down. Not to pick on open AI specifically, but this is how all the sausages get made in one way or another.

On a non technical note, my advice is this: Do not put yourself in a position to depend on generative AI for anything. It is the quickest way to atrophy your brain and your critical thinking and creative abilities. Reject it at every turn and do not take seriously any person who uses it for any professional or creative capacity. Wish them well, but don't take their advice.

[xaltius]

10 Applications of Artificial Intelligence in Digital Marketing

Artificial intelligence (AI) is no longer a futuristic concept; it's a present-day reality reshaping industries, and digital marketing is no exception. AI is revolutionizing how marketers understand their audience, personalize campaigns, and optimize strategies for unprecedented results. This blog explores 10 powerful applications of AI in digital marketing that you need to know.

1. Personalized Experiences: AI empowers marketers to deliver hyper-personalized content, product recommendations, and offers to individual customers based on their behavior, preferences, and demographics. Think dynamic website content that changes based on who's browsing, or product suggestions that perfectly match past purchases.

2. Content Creation and Optimization: AI tools can assist in generating marketing copy, blog posts, social media updates, and even visual content. They can also analyze existing content to identify areas for improvement and optimize it for search engines and user engagement. Imagine AI suggesting headlines that are more likely to be clicked, or automatically generating different versions of ad copy for A/B testing.

3. Search Engine Optimization (SEO): AI can analyze massive datasets to identify relevant keywords, optimize website structure, and track search engine rankings, helping improve organic visibility. AI-powered SEO tools can automate tedious tasks like keyword research and competitor analysis, freeing up marketers for more strategic work.

4. Social Media Marketing: AI can automate social media posting, analyze audience sentiment, identify trending topics, and even create targeted ad campaigns for specific demographics. AI can also help identify influencers who are most relevant to a brand's target audience.

5. Paid Advertising: AI algorithms can optimize ad bidding, targeting, and creative elements in real-time, maximizing the return on ad spend (ROAS) and driving conversions. AI can dynamically adjust bids based on factors like time of day, user location, and past behavior, ensuring ads are shown to the most likely converters.

6. Customer Relationship Management (CRM): AI can analyze customer data to identify patterns, predict customer behavior, and personalize customer interactions, improving customer satisfaction and loyalty. AI-powered CRM systems can automate tasks like lead scoring and follow-up, ensuring no potential customer slips through the cracks.

7. Email Marketing: AI can personalize email content, optimize send times, and segment email lists based on user behavior, increasing open and click-through rates. AI can also help identify the best email subject lines and content to resonate with different segments of your audience.

8. Chatbots and Virtual Assistants: AI-powered chatbots can provide instant customer support, answer questions, and even qualify leads, freeing up human agents for more complex tasks. Chatbots can be available 24/7, providing instant assistance to customers regardless of their time zone.

9. Marketing Analytics and Reporting: AI can analyze marketing data from multiple channels to provide a holistic view of campaign performance, identify areas for improvement, and generate actionable insights. AI-powered analytics dashboards can provide real-time insights into campaign performance, allowing marketers to make data-driven decisions quickly.

10. Predictive Analytics: AI can predict future customer behavior, such as purchase intent, churn risk, and lifetime value. This allows marketers to proactively target customers with personalized messages and offers, maximizing customer lifetime value.

Digital Marketing & AI Certification Program: Your Path to AI-Powered Marketing Mastery

Want to become a sought-after digital marketing professional with expertise in AI? Consider enrolling in a Digital Marketing & AI Certification Program. These programs provide comprehensive training on the latest AI tools and techniques, preparing you to leverage the power of AI in your marketing strategies. You'll learn how to:

Develop and implement AI-driven marketing campaigns.

Analyze data and generate actionable insights.

Choose and use the right AI marketing tools.

Address ethical considerations related to AI in marketing.

Conclusion:

AI is transforming the landscape of digital marketing, offering unprecedented opportunities for personalization, automation, and optimization. By embracing AI and developing the necessary skills, marketers can gain a competitive edge and drive exceptional results. The future of digital marketing is intelligent, and it's powered by AI.

[neebifytool]

How to use bard?

Bard is a new AI chatbot from Google which promises to be the source of real-time information and conversational answers to most questions. To deliver coherent, context-aware responses, it relies on Google's Language Model for Dialogue Applications, LaMDA. Bard is fantastic when the topic of interest deals with current events or information that constantly updates-and could answer anything from trivia to facts. It has entered the competitive landscape of AI-driven tools like OpenAI's ChatGPT and Microsoft's Bing AI.

A person can get access to Bard through the Google website and also by searching for "Google Bard" in a browser. After accessing Bard, one can ask questions, make the most of the conversation, receive immediate responses, and share responses for productivity.

On a PC, users access Google Bard via the browser interface. Open Google Chrome, Firefox, or Edge and go to the Google Bard website. Sign in to your Google account to get personalized answers and recall conversation history.

It's pretty easy to start a conversation by starting with Bard, and the users can save the page as a bookmark so as not to visit again.

Bard has gained popularity among students and professionals and curiously inquisitive minds seeking help or information that have quite proved useful.

Google Bard is an AI-powered chatbot that can be accessed directly via a web browser or downloaded from the Google Bard website. To access Bard on the phone, one shall go to the mobile browser and visit the website of Google Bard. Log in using your Google account; type out your question; and activate voice search. To use Bard with Google: Ensure it is available in your location. Please have the latest version of Google Chrome available. Always ensure that you are logged into your Google account. Verification of your privacy settings.

If Bard is not available, some regions have integrated it into Google Search. Open its interface, type your question, try specific queries, ask follow-up questions, and test creative features to ask questions to Bard. Bard can be used for simple routine tasks, challenging questions, and creative work.

Therefore, Google Bard is a friendly and approachable AI chat that tends to make information retrieval as easy as it can be for people. It is decidedly different from any other search engine since it captures real-time data and gives conversational responses. Useful tool for the simplest of tasks or more creative pursuits: Google Bard is an excellent tool in different uses, ranging from mundane day-to-day errands to creative activities, all set for accessing basic tasks or questions that are complex.

[shivanidigital]

Deep Seek vs. ChatGPT: Which AI Tool is Best for Your Needs?

The world of artificial intelligence (AI) is rapidly evolving, and two major players have emerged in the space of intelligent search and communication: Deep Seek and ChatGPT. While both are powerful AI tools, they serve different purposes and offer unique features. Choosing the right tool for your needs depends on the specific use case and goals you're trying to achieve.

In this blog, we will explore what each AI tool offers, how they differ, and help you decide which is best for your needs.

What is Deep Seek?

Deep Seek is an advanced AI-driven search tool that focuses on information retrieval. It helps users find highly relevant, deep, and specialized content from a wide range of sources. Unlike traditional search engines, which rely on basic keyword matching and links, Deep Seek uses AI to understand context, relevance, and the specific needs of the user. It's designed to deliver more precise and in-depth results, making it ideal for those looking for detailed answers, niche knowledge, or specialized data.

Key Features of Deep Seek:

Advanced Search Capabilities: It allows you to search beyond surface-level results and dive deeper into databases, articles, and scientific papers.

Context-Aware Results: Deep Seek understands the context of your query, delivering more relevant results tailored to your needs.

Specialized Search: Great for researchers, students, and professionals who require specialized knowledge from specific fields like medicine, science, and law.

Data Aggregation: It collects information from a variety of reputable sources to present you with a comprehensive overview of your search topic.

What is ChatGPT?

ChatGPT, on the other hand, is a conversational AI developed by OpenAI, designed to understand and generate human-like text based on prompts it receives. Unlike traditional search engines or specialized tools like Deep Seek, ChatGPT excels in engaging users in natural conversations, answering questions, and providing helpful explanations in real-time. It’s more about interaction than just information retrieval, making it great for tasks that require contextual conversation or support.

Key Features of ChatGPT:

Conversational AI: ChatGPT excels in holding conversations with users, answering questions, and helping with a variety of tasks ranging from casual queries to professional writing and coding.

Contextual Understanding: It uses advanced natural language processing to understand the context of questions, providing detailed, accurate responses.

Content Generation: Ideal for creating blog posts, writing assistance, coding help, and brainstorming ideas.

Wide-Ranging Applications: It can assist with nearly any topic, whether it’s education, customer support, coding, or even personal inquiries.

Deep Seek vs. ChatGPT: The Key Differences

1. Purpose and Use Case

Deep Seek: Primarily a search tool aimed at retrieving highly relevant, deep information across various databases and sources. It is more focused on finding specific answers from existing knowledge repositories, which is perfect for researchers and specialized tasks.

ChatGPT: Designed for interactive communication, answering questions, and generating text content. It is ideal for conversations, content creation, customer support, and problem-solving. ChatGPT excels in providing personalized, engaging dialogue.

2. Information Retrieval vs. Conversational AI

Deep Seek: Think of Deep Seek as an intelligent search engine. It’s best suited for users who need to pull in specific data or research across various industries or academic fields.

ChatGPT: ChatGPT is a conversational assistant. It’s perfect for getting immediate answers, having a back-and-forth discussion, and even generating creative content like blog posts, summaries, or stories.

3. Search Scope

Deep Seek: The tool dives deep into niche databases, specialized articles, journals, and scientific resources. It can search through academic papers, industry reports, and trusted data sources to give users a detailed, highly relevant result.

ChatGPT: While ChatGPT doesn’t pull data from specific databases or scholarly resources, it generates answers based on a broad understanding of general knowledge. It’s better suited for general knowledge and doesn’t specialize in retrieving highly detailed, authoritative sources like Deep Seek.

4. Accuracy and Context

Deep Seek: Deep Seek’s AI is designed to prioritize accuracy and relevance in search results. Its goal is to provide users with precise data and context that is directly related to their queries, especially in specialized areas.

ChatGPT: ChatGPT is very good at understanding the context of your questions and providing useful answers, but its knowledge is based on the data it was trained on up until its last update. It can generate highly accurate responses in most cases, but it might not always provide the most up-to-date or specialized information.

5. Interactivity and Engagement

Deep Seek: Offers minimal interactivity; its main strength lies in delivering relevant, curated search results based on your queries.

ChatGPT: It thrives on interactivity and can engage in continuous conversations, assist with a wide range of tasks, and adjust its responses based on the flow of the conversation.

Which One is Best for You?

Now that we understand what each tool offers, let’s break down which AI is best for specific needs.

When to Choose Deep Seek:

For In-Depth Research: If you're conducting detailed research in specific fields like science, technology, law, or academia, Deep Seek is the better choice. It allows you to explore deeper, more specialized content.

For Niche Knowledge: If your query requires information from specialized databases or scholarly sources, Deep Seek can provide highly tailored and relevant results.

For Accurate and Comprehensive Results: When you need to gather detailed data from credible sources, Deep Seek’s precision and context awareness can save you time.

When to Choose ChatGPT:

For Conversational Assistance: If you need quick answers, personalized responses, or just want to have a conversation, ChatGPT is the ideal tool.

For Content Generation: ChatGPT is fantastic for helping you write blog posts, articles, or even generating code. It can also assist with brainstorming, outlining, and drafting creative ideas.

For Task Automation: Whether it's summarizing content, explaining complex concepts, or assisting with basic tasks, ChatGPT provides helpful real-time support.

For Casual Inquiries: ChatGPT works great for everyday questions, like “What’s the weather today?” or “What’s the best movie to watch this weekend?”

Conclusion

Both Deep Seek and ChatGPT offer exceptional capabilities, but they cater to different needs. If you require detailed, specialized search results for in-depth research or academic work, Deep Seek is your go-to tool. On the other hand, if you're looking for an interactive assistant to engage in conversations, generate content, or help with a variety of tasks, ChatGPT is a more versatile choice.

Ultimately, the decision comes down to what you need: Deep Seek for accurate, data-driven search, or ChatGPT for interactive, conversational AI that can assist with a wide range of tasks. Both tools are incredibly powerful in their own right, and knowing when to use each will ensure you get the most out of them.

[themculibrary]

Ceiling Vent Clint Barton Masterlist

Caught In A Net (ao3) - ShippersList clint/phil T, 1k

Summary: When Clint started roaming the vents, he didn't exactly expect to stumble upon Coulson's office. What a delightful coincidence.

Clint Barton's Guide to Friends and Ceiling Vents (ao3) - NoliteTimereEos clint/natasha T, 6k

Summary: In which Clint Barton meets a missing assassin in the vents and somehow becomes friends with him. Things don't go as bad as they could have.

Clint Barton's Super Secret Snipers' Club (ao3) - sara_holmes clint/bucky, steve/tony T, 67k

Summary: Clint Barton's Super Secret Snipers' Club. (Invitation and pending mental health evaluation required.)

"When Steve brings Bucky back to the tower for the first time, Clint’s first thought is that Tony Stark’s pride and joy is quickly becoming a less of a very tall and expensive ‘fuck you’ in the faces of investors who don’t believe in self-sustaining energy, and more of a superhero rehabilitation center."

Boyfriends, compromises and learning to like oneself.

Furious Fury and the Interrupting Intern (ao3) - Stella_Malodi nick/darcy G, 1k

Summary: Darcy's trying to find the cafeteria; somehow, she finds her Soulmate instead. (She really should've known better than to ask Clint "The Ventilation System Is My Highway" Barton for directions.)

Darcy had no sense of direction. This could be a problem when she was trying to find her way around SHIELD headquarters, especially since SHIELD agents were apparently horrible at giving step-by-step directions. Because, seriously? “Follow this hallway for five hundred feet, then turn North.” She wasn’t carrying a compass! And how was she supposed to know how far five hundred feet actually was?

Left in the Cold (fanfiction.net) - Nightcrawler's Shadow pepper/tony T, 2k

Summary: Clint doesn't like the cold, Tony needs to know why. The answer may not be what he expected. Bro!vengers, NO SLASH. tiny sprinkle of Pepperony. Rated for mentions of abuse.

Lucky Pennies (ao3) - IamShadow21 clint/phil G, 6k

Summary: In Clint Barton's official SHIELD file, there is a supplemental form with a string of letters and numbers indicating a superhuman ability. On it, there are two pieces of information. The first is 'Asset-Reported Ability (unverified)'. The second is 'Combat/Field Applicable Ability Y/N'. 'N' is circled.

Making The Best Of It (ao3) - dentalfloss clint/phil T, 33k

Summary: “He’s not telling us everything,” Fury reached out and shut the projection off, “I’m not comfortable with this.” Coulson didn’t respond, didn’t need to. “Let Rogers know I want Barton watched; he doesn’t go anywhere alone until we understand exactly what’s going on. I’m not losing him to some egotistical mind-f***ing blade-dancer who has mentor issues and wants to take it out on our asset.”

Phil nodded efficiently. He couldn’t agree more.

My Birdy (ao3) - GayRainbowBridge tony/clint T, 1k

Summary: Clint acts a bit like a bird and Tony finds it adorable but frustrating.

On Nesting (ao3) - snack_size clint/phil M, 5k

Summary: Clint moves into Avengers Tower, and promptly takes up residence in the air ducts, including the one above Bruce's lab. It soon becomes clear that this isn't just a cracky, quirky behavior.

Ordinary Workplace Hazards, Or SHIELD and OSHA Aren't On Speaking Terms (ao3) - scifigrl47 clint/phil, steve/tony M, 25k

Summary: Tony Stark has once again engineered something that might well lead to the downfall of Western Civilization. No one's really surprised. This time, however, it might just be the lesser of two evils.

Clint and Phil hate playing pickup, but damn, Clint loves the Roombas, and damn, Phil loves Clint, though he's not really sure why sometimes. It's time to play Hide-And-Seek with hostile robotic AIs in the SHIELD home office.

Pavlov was a Jerk (ao3) - BeneficialAddiction clint/phil E, 77k

Summary: Clint Barton: World's Greatest Marksman, submissive, high-functioning disaster.

When Clint comes in to SHIELD he's been on his own for almost four years, and he's been keeping himself level using conditioning techniques he's learned from a lifetime of abuse and neglect. Phil Coulson is the first to notice the imbalance – Clint's system seems to be all punishment, no rewards - but Phil's tastes aren't exactly average and it's none of his business anyway. Certain that what he wants is not at all congruent with what Clint deserves Phil keeps his distance, until a mission gone wrong sends the archer tumbling into an nasty case of subdrop and neither of them have any other choice but to take a chance on the other.

That Awkward Moment When Your Whole Class Shows Up At Your House (ao3) - MurdockSchmurdock T, 25k

Summary: After May tells Midtown High about an injury Peter sustained in a Spider-man incident, he is more than content to spend the next few weeks "recuperating" at Stark/Avengers Tower. It seems the universe has other plans, however, and Peter ends up being swept into his class's field trip. At Stark Tower. Wonderful.

That One Time Clint Lived in the Vents at Stark Tower for Three Months and No One Knew (ao3) - Era_Penn tony/clint T, 4k

Summary: Tony was pretty sure there was a ghost living out its afterlife in his kitchen. He thought it must have moved in approximately two Thursdays ago, and it seemed to really enjoying cooking - especially Italian - and crappy Chinese takeout. It also seemed to be very friendly, as it always left a note that said something along the lines of ‘for my generous host’ or ‘leftovers are Tony’s, NO ONE EAT’ on top of the food.

The Things You See (fanfiction.net) - DepressingGreenie steve/tony T, 605

Summary: Clint catches Steve and Tony making out.

Watching over you (ao3) - Ruquas

Summary: He didn‘t even mean to make it a habit at first. He just wanted to make sure that Pietro was okay. Just like with Phil the first time the other man had been hurt on a mission. Or Natasha. Or Tony. Or any other member of the team. He even had slept above Steve’s quarter a few nights, and he was a super soldier.

Welcome Home (ao3) - CarlyWrites wanda/vision T, 57k

Summary: Wanda arrives at the new Avenger's facility in New York and struggles to find her place among the team while dealing with the consequences of her actions following Ultron. However, her newfound family is quickly shaken to its core when one of their own is seriously injured. Part 1 of the Natasha and Wanda Series Not CACW Compliant

Where Spider-man is Not Having a Good Time and Neither is Anyone Else (ao3) - Guessthisiswhat N/R, 13k

Summary:Stark Expo, May 2010 14 kids go missing in the attack. Only one found alive.

May 2016 Peter Parker escapes the compound he's been in for the last six years.

August 2016 Spider-man makes his first appearance.

Or Peter Parker was kidnapped by Hydra at the Stark Expo in 2010 and was never reported missing because Aunt May and Uncle Ben died in the attack. Six years later he has escaped and now takes up the Spider-man persona. Leading the Avengers to be tracking him down, all while he is homeless.

You See, It Was Like This (ao3) - WriteItSmall (scribblemyname) G, 100

Summary: "Why is Agent Barton hiding in the vent above your desk?"

[blogchaindeveloper]

10 Ways ChatGPT Can Improve Your Productivity

An innovative artificial intelligence application called ChatGPT was created to increase workplace productivity. It can revolutionize various activities and obstacles thanks to its vast training in diversified information and human-like communication abilities.

You may automate monotonous processes with ChatGPT, saving you time and alleviating tension. Its context comprehension allows it to produce intelligent responses that seem natural, simplifying communication and improving data analysis and decision-making procedures. It can expedite project management, enhance customer service, personalize training and development, and encourage innovation and brainstorming sessions. ChatGPT is helpful for coding, content creation, document creation, and editing. It is an essential tool for streamlining processes and increasing general productivity because of its flexibility and adaptability.

To get the most out of ChatGPT, broaden your knowledge and experience in conversational agents and chatbots. You can become more knowledgeable and adept with ChatGPT by gaining knowledge in ChatGPT certification, chatbot training, certified chatbot expert status, AI chatbot competence, or chatbot engineer abilities. It may present fresh chances for you to perform more productively.

Given the increasing prevalence of chatbots and conversational agents in various businesses and areas, these abilities are highly valued in today's labor market. Using ChatGPT to its full potential and gaining these applicable credentials will help you become more productive at work. Your efficiency and knowledge can also make an impression on clients and coworkers.

This post will go over ten ways ChatGPT can significantly increase your productivity, regardless of your job: data analyst, creative marketer, or busy executive. You'll be able to demonstrate your efficacy and proficiency while achieving more in less time by putting these recommendations into practice.

1.Automate Routine Operations

The load of tedious, repeated duties that take up significant time and energy is among the most common obstacles to productivity. These duties include answering often-asked inquiries, scheduling meetings, filling out paperwork, keeping track of documents, and reminding people to do things.

Thankfully, ChatGPT provides an answer by making it possible to automate these kinds of jobs by building intelligent chatbots. Chatbots are computer programs that converse with users by text or voice, providing help information or taking actions in response to input from the user.

You can easily create chatbots with ChatGPT for various platforms and uses. For example, you can make a chatbot to respond to customer inquiries on your website or social media pages. You may build a chatbot that can effectively set up email or calendar appointments. You can set up a chatbot to automatically fill out forms or update data in your ERP or CRM system.

2. Simplify Interaction

An essential component of any successful business is effective communication. Conversely, it can cause confusion and distraction if not managed appropriately. Coordinating many lines of communication—like emails, phone conversations, instant messages, and video chats—can be difficult while corresponding with different people, including partners, suppliers, clients, and coworkers.

Various useful communication tools are available from ChatGPT to help you be more productive and efficient. It may condense multiple documents, including emails, reports, meeting notes, and articles, highlighting essential ideas and takeaways for simple reading. You can trust ChatGPT to write emails according to your templates or prompts, ensuring correct language, spelling, tone, and clarity. ChatGPT can quickly translate written materials into other languages, transcribe audio or video files, and more. It can also convert speech to text or generate speech based on input. Additionally, ChatGPT can assist you in creating expert presentations using data or outlines, and it can even improve them with animations and voice-overs. ChatGPT revolutionizes your conversation experience with these clever features.

 3. Improve Your Ability to Analyze and Make Decisions

Since data is the lifeblood of any organization, businesses must analyze their data and make decisions based on it. However, this work can become challenging when dealing with large amounts of data from many sources and formats. Complex issues frequently develop that necessitate considering several variables and standards.

ChatGPT makes it simple to ask questions about data and get responses in plain English, facilitating conversation. It also helps with data visualization by creating aesthetically pleasing tables, charts, graphs, and maps using your supply data. Regarding data analysis, ChatGPT is excellent at finding patterns, trends, outliers, correlations, or anomalies. This allows it to provide insightful analysis and recommendations. With ChatGPT, you can compare data according to many criteria, which makes it easier to evaluate possibilities and create well-informed lists of pros and disadvantages. ChatGPT's predictive features enable it to develop and test hypotheses and predict outcomes and scenarios based on your data.

4. Customize Education and Training

Any organization that wants to increase its performance, productivity, knowledge, and skills must prioritize training and development. However, if these procedures are carried out correctly, their efficacy may be protected, leading to expensive and time-consuming outcomes. The problem of coping with cliched or out-of-date courses, resources, or approaches that might not suit each student's interests or preferences must be addressed.

Bright, individualized learning solutions are available from ChatGPT and cater to your unique requirements. It offers progress tracking and insightful feedback in addition to helping create personalized learning paths that align with your objectives, interests, abilities, and competence level. Interactive tests, quizzes, exercises, and assignments tailored to your learning goals and subject matter can be created with ChatGPT. It goes one step further by verifying your responses and providing thorough justifications. 

ChatGPT generates summaries, notes, flashcards, or cheat sheets based on your learning materials or sources to help you retain the information you've learned. It can even produce mnemonics, acronyms, or analogies to improve memory retention. Additionally, ChatGPT facilitates comprehension and application by creating scenarios, stories, case studies, and examples. It also provides challenging questions or tasks to evaluate your understanding and practical abilities.

5. Boost Client Support

Any firm must be able to draw in, keep, and please consumers while building its brand and income. It draws attention to how vital customer service is. Providing excellent customer service may be easy, but if not done correctly, it is manageable. Handling consumer requests, complaints, and comments across multiple channels and platforms can take a lot of work. It's frequently essential to handle delicate or complicated circumstances that demand tact and sensitivity.

ChatGPT provides witty and approachable customer service solutions. It makes it possible to develop chatbots that can effectively handle customer requests, complaints, and comments via various platforms and channels. Customers can receive customized information, advice, recommendations, or solutions from these chatbots according to their needs and preferences. Additionally, ChatGPT improves customer relations by producing replies that correspond with users' messages or emotions. It also guarantees that accuracy, clarity, tone, and politeness are maintained. Creating scripts or templates for various scenarios or situations and providing advice and best practices for efficient communication make customer service discussions more seamless.

ChatGPT enables companies to obtain insightful data by creating surveys or reviews based on their customers' experiences or input. Creating incentives or awards based on loyalty or general contentment even helps promote customer involvement and satisfaction.

6. Simplify the Management of Projects

Any firm must successfully plan, carry out, oversee, manage, and close down projects, emphasizing project management's significance. Project management mistakes can result in excessive demands and complexity. Managing various activities, resources, stakeholders, risks, problems, adjustments, and deadlines is frequently necessary.

Project management becomes streamlined effortlessly because of ChatGPT's sophisticated features. Creating project plans based on your goals, scope, budget, timetable, and quality streamlines the procedure and guarantees a thorough and well-organized method. It makes effective progress tracking possible by giving reports and real-time updates on the project's state. Task and role delegation is streamlined thanks to ChatGPT, which helps allocate team members according to their availability and skill sets. 

It also keeps track of each member's performance and provides insightful feedback. Because ChatGPT facilitates accessible communication with team members and stakeholders across several channels and platforms, effective communication is also improved. It makes meetings and conversations run more smoothly while capturing minutes and action items for comprehensive documentation. 

The risk and problem management features of ChatGPT enable the early detection and effective remediation of possible project roadblocks. It also helps with conflict resolution and change implementation that may come up during the project.

7. Boost Originality and Idea Generation

Any business must be able to come up with new ideas, solve problems, innovate, and improve its offerings, which emphasizes the value of creativity and brainstorming. Nevertheless, difficulties and annoyances may arise from these methods' poor use. Successful creativity and brainstorming sessions require addressing typical challenges, including breaking through mental hurdles, finding inspiration, and avoiding groupthink.

ChatGPT offers clever and entertaining ways to spark your imagination, which can help you improve creativity and brainstorming. It is excellent at producing ideas in response to your prompts or keywords, assisting you in exploring novel avenues, or honing already-existing notions. Producing striking illustrations, scenarios, case studies, or narratives sparked by your thoughts or concepts facilitates the creative process. To evaluate the viability and potential of your ideas, it might also produce challenging or thought-provoking questions. ChatGPT inspires creativity by creating catchy headlines, slogans, names, titles, or logos that complement your ideas. Moreover, ChatGPT can produce code for you based on your conceptions or ideas.

8. Boost the Creation and Editing of Documents

Any organization must be able to communicate messages, information, or data effectively and professionally, which highlights the significance of creating and updating documents. These chores must be carried out correctly to avoid becoming tiresome and time-consuming. Successful document development and editing processes often require addressing formatting issues, fixing grammatical and spelling faults, and preventing plagiarism.

By giving you clever and straightforward ways to generate and edit documents, ChatGPT can help you enhance document creation and editing. It is excellent at creating documents using templates or prompts, providing an easy place to start when developing material. It acts as a competent editor, quickly adding your comments or recommendations to improve your writing.

Verifying grammar, spelling, punctuation, tone, clarity, and accuracy guarantees the caliber of your work. Furthermore, ChatGPT recommends enhancements or modifications to polish your texts further. By giving you document summaries specific to your needs or target audience, it also helps to condense material. ChatGPT can rewrite or paraphrase your texts to conform to your desired style and tone. It helps with precise source citation generation according to your chosen format or style and helps with proper citation formatting. ChatGPT can examine your documents for plagiarism, guaranteeing their uniqueness and integrity.

9. Produce Code and Content

Any organization needs to create value, engage customers, foster trust, and spur growth; these are just a few reasons that content and code are essential. However, creating content and code can be demanding and complex if done incorrectly. Significant hurdles that must be overcome to create text and code successfully include writer's block, gaining sufficient information, and fixing coding errors.

ChatGPT can assist you in producing code and content by giving you quick and easy methods. It helps you quickly generate optimized SEO, readability, or engagement content while adhering to your preferred topic, keyword, or structure. ChatGPT does best by customizing code snippets to your favorite language, framework, or function. It can also help with debugging and rewriting already-written code. Producing code and content based on your input or data ensures smooth integration and increases productivity. It also makes data or input to support your code or content.

10. Enhance Your Process

Increasing productivity, increasing efficiency, and streamlining procedures are critical for any firm, which emphasizes the significance of workflow optimization. However, workflow optimization can be difficult and time-consuming if done incorrectly. Successful process optimization requires addressing common obstacles such as bottlenecks, delays, errors, and waste.

By giving you clever and easy methods to handle your work, ChatGPT can help you maximize your workflow. It helps create workflows specific to your objectives, assignments, and resource availability. Additionally, ChatGPT facilitates workflow automation by creating automated procedures triggered by the rules or triggers you designate. It helps with task identification and organization according to impact, priority, or urgency. It also makes delegating easier by recommending team members who are qualified and available for particular tasks.

ChatGPT also makes tracking work based on predefined metrics or indicators easy, facilitating progress monitoring. It facilitates assessing work about predetermined benchmarks or standards. ChatGPT provides insightful analysis and recommendations to enhance the quality of your work by utilizing your feedback and suggestions. To improve performance in the future, it also makes continuous learning easier by evaluating results and outcomes.

Utilize ChatGPT More Effectively and Efficiently by Acquiring New Certifications and Skills

ChatGPT is a highly adaptable tool with great potential to increase efficiency at work. Nevertheless, it can be helpful to obtain extra knowledge and certifications about chatbots and conversational agents to utilize their potential and optimize productivity fully.

Competence in chatGPT certification, chatbot engineering, certified chatbot knowledge, chatbot training, and AI chatbot knowledge are highly valued in today's industry. These abilities are in great demand due to chatbots' growing popularity and usefulness across a wide range of companies and domains.

There are lots of internet tools accessible to help you get these certifications and abilities. These resources include books, blogs, podcasts, videos, guides, tutorials, and courses, among many other types of content. You can customize your learning experience by selecting what best suits your needs and interests by considering cost, time, format, and degree of difficulty.

Through the utilization of these materials, you can increase your comprehension and usefulness of ChatGPT. Adding these qualifications and abilities to your professional toolkit can help you make better use of ChatGPT and increase productivity in your work.

In summary

With ChatGPT, a practical artificial intelligence technology, you may significantly increase your efficiency at work. It can help you improve customer service, automate repetitive tasks, improve document creation and editing, generate content and code, improve communication, improve data analysis and decision-making, personalize training and development, and streamline project management.

Additionally, ChatGPT can assist you in using it more successfully and efficiently by teaching you new competencies and credentials connected to conversational agents and chatbots. As an illustration, you can join the Blockchain Council, a reputable association of professionals and enthusiasts dedicated to promoting Blockchain Knowledge, Products, Use Cases, Research, and Development for a Better World. You can learn ChatGPT certification, chatbot training, certified chatbot expert status, AI chatbot expertise, and chatbot engineering abilities by enrolling in one of the many online courses and certifications offered by Blockchain Council.

Given the increasing popularity and use of chatbots and conversational agents across various sectors and disciplines that utilize blockchain technology, these are some of the most valuable and in-demand skills available today.

By acquiring these competencies and certifications from the Blockchain Council, you may improve your comprehension and use of ChatGPT. By utilizing ChatGPT for various tasks and blockchain-related projects, you can also increase your output at work.