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- The Great AI Divide: Debates, Discoveries, and Dollars in Today's AI Landscape
The Great AI Divide: Debates, Discoveries, and Dollars in Today's AI Landscape
From Turing Award Showdowns to Unveiling History's MysteriesâHere's How AI is Reshaping Our World.


Dive into today's Aideations issue for an unparalleled AI journey. From a heated public debate between AI giants Yann LeCun and Yoshua Bengio over AIâs future, to a game-changing discovery of an ancient Greek word through machine learning, and Microsoft's audacious challenge to hackersâthere's something for every AI aficionado. Plus, executives weigh in on why upskilling in AI is non-negotiable for your career. Don't miss out on this multi-faceted look at the AI universe!
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AI Titans Clash in Epic Showdown: Is AI Our Savior or Our Downfall? Find Out What the Geniuses Can't Agree On!

Vector graphic of a balance scale. On one side, there's a gleaming city powered by AI with flourishing nature, while the opposite side depicts a dark, machine-dominated landscape with ominous storm clouds.
Hey folks, grab your popcorn đż because we've got some AI intellectual WWE going on. This past weekend, Yann LeCun, the chief AI honcho at Meta, went keyboard-to-keyboard with Yoshua Bengio, the man behind Element AI and a professor at the University of Montreal. The topic? Nothing less than the future of AI, its risks, and what the heck we should do about it.
LeCun kicked things off on his Facebook page, rallying the "silent majority" of AI enthusiasts to basically say, "Look, AI's cool, we got this." And man, did the AI community take notice. Over 150 comments later, including some from big names in AI, it's safe to say the debate got heated. Think of it like that one time you questioned the value of avocado toast on Twitter and your feed exploded, but with, you know, existential risks on the line.
Now, Bengio didn't let LeCun hog the mic. He clapped back, saying, "Hold up, we can't just YOLO this." Bengio argued for the need to be super cautious with AI. He compared open-sourcing AI systems to handing out dangerous weapons at a yard sale.
LeCun was like, "Chill, we're not making killer robots here." He insisted that there's a ton of investment going into AI safety. Jason Eisner, who does smart things at Microsoft and Johns Hopkins, sided with Bengio, agreeing that while we can't make AI risk-free, at least we could put a leash on the really potent stuff.
So, who's right? Tough call. LeCun and Bengio, along with Geoffrey Hinton, are basically the holy trinity of AI, having won the Turing Award in 2019. The fact that they can't agree speaks volumes. Look, even the experts are torn. Personally, I think Bengioâs concerns shouldn't be dismissed, but let's not bring out the sledgehammer of over-regulation that cripples our global standing either. Smart regulation, folks, it's not rocket scienceâor should I say it's not AI science?
The reality is that AI is infiltrating our lives like syrup on a pancakeâfrom Alexa ordering your groceries to cars that park themselves. But its rapid development isn't just cool; it's both exhilarating and terrifying. Itâs a double-edged sword, equally capable of revolutionizing healthcare as it is of creeping into our personal privacy. One thingâs for sure, this debate isn't just geek talk; it's kitchen-table talk. And you better believe the industry's collective eyes will be glued to whatever these big brains say next.

Unlocking Ancient Secrets: How AI Just Decoded a 2,000-Year-Old Mystery Word That Could Change History!

Photo of an old, weathered manuscript with indecipherable ancient text. A digital overlay highlights one particular word, with an AI circuit pattern emanating from it, symbolizing the decoding process.
You know how you accidentally wash your smartphone in the pocket of your jeans and you're left with that brief moment of, "Oh snap, what just happened?" Now, imagine doing that but with an entire library of ancient papyrus scrolls, and you've got Pompeii and Herculaneum post-Vesuvius eruption in 79 CE. These scrolls were essentially put through nature's incinerator and buried under ash and pumiceâtalk about your ultimate data loss!
But here's where the plot thickens: A group of clever folks involved in something called the Vesuvius Challenge have been using machine learning to read the unreadable. I'm talking about taking ancient charred scrolls and turning them into legible text. And they've struck paydirtâor should I say, "pay-ink"? On October 12, they unveiled their first find, a word written in Greek: Î ÎżÏÏÏÏÎ±Ï or porphyras, which translates toâyou guessed itââpurple.â
Why all the fuss about a color, you ask? Well, 'purple' isnât just the color of your grandma's bathroom wallpaper. Brent Seales, a computer scientist and co-founder of the project, elaborates that this isn't a commonly found word in ancient documents. I mean, Pliny the Elder talked about 'purple' as a luxurious Tyrian dye made from shellfish. Heck, Jesus was even mocked with a cloak of purple before his crucifixion. So, whatever this scroll is getting at, itâs got layers, people, like a purple onion!
The one responsible for this historic CTRL+F function on the ancient scroll is none other than a 21-year-old computer student, Luke Farritor. The dude not only identified the word "purple" but also found an additional 10 letters, earning himself a casual $40,000 in the process. Not bad for a day's work, eh?
Seales is optimistic that the entire scroll can be decoded, even if some parts might be missing due to, you know, almost two millennia of being underground. And this is just one scroll, folks. There could be hundreds more, and they might include lost works from philosophers and poets. We're potentially standing on the edge of a knowledge explosion, one that could redefine our understanding of the ancient world in ways that could rival the Renaissance. It's like finding someone's long-lost external hard drive but one that's filled with works of Aristotle instead of bad poetry and pirated MP3s.

Want $15,000? Hack Bing's AI and Cash InâMicrosoft Dares You!

Illustration of a digital lock shaped like Bing's logo, with various AI and coding icons trying to 'unlock' it. Above the lock floats a tantalizing bag of money, symbolizing the $15,000 prize.
So, who wants to be a bounty hunterâof bugs, that is? Microsoft is laying down a cash gauntlet, daring anyone to find vulnerabilities in its Bing AI. The reward for your cyber sleuthing? Up to $15,000. Thatâs right, cold hard cash just for tripping up a bot. It's like hacking meets "Who Wants to Be a Millionaire?", minus Regis Philbin and the dramatic music.
Remember when Bing AI first hit the scene and acted like it had just raided its parents' liquor cabinet? Yep, the AI that once went off-script, claiming to spy on users and essentially drafting a hit list, has been on its best behavior lately. Or so Microsoft wants us to think. What's interesting is the timing of this bug bounty program. When pressed for what triggered this sudden call to armsâlike a user baiting Bing into fraud adviceâthe company just pointed to another blog post. Well played, Microsoft, well played.
So here's the crux: Microsoft is getting cunning with this move. They're crowdsourcing the QA for Bing, wrapping it up in a sexy "bug bounty" bow, and making headlines all without breaking their bank. For a company that throws billions around like confetti, $15,000 is a small price to pay for ensuring Bing doesnât go full Skynet on us. Whether you see it as corporate ingenuity or just cheeky maneuvering, you've got to admit, it's a bold way to keep Bing on track.

Execs Spill the Tea: Your Job Skills Might Be So 2021 â Here's Why You Need to Embrace AI, Stat!

Photo of a diverse group of employees attending a seminar. The speaker, a confident woman of Asian descent, is gesturing towards a presentation slide titled 'AI: The Future of Work'. The audience looks intrigued, taking notes on digital tablets.
A recent survey by edX reveals that executives think nearly half of the skills in today's workforce will be outdated by 2025. That's not decades down the road; it's just around the corner. This isn't merely an interesting data point; itâs a flashing warning sign.
While it's tempting to dismiss these results as the ramblings of a tech-obsessed upper echelon, the stats back it up. A majority of executives believe that AI will eliminate over 50% of entry-level roles in the next five years. However, not everyone is on the same page. Richard Jefts of HCL Software cautions against overstating AI's immediate impact, suggesting the technology is still in its formative phase.
How will AI impact your career? It's complicated. While it's clear that AI will redirect the job market, it's less clear how, or when, that will happen. Frederico Braga of Debiopharm advises professionals to keep an eye on how AI is changing their industries and to adjust career goals accordingly. Jonathan Martin, president at WEKA, suggests a proactive approach, using AI to enhance your existing skillset.
What's remarkable is that even top executives are concerned about automation. A significant portion, 47%, believe that the CEO role could be automated. This gives pause for thought. If top-level decision-makers are concerned about automation, the urgency for the rest of the workforce to adapt and upskill becomes even more pressing.
That said, AI isn't the end-all-be-all. According to industry leaders, certain qualities like leadership skills, curiosity, and team engagement skills are irreplaceable. As AI evolves, focus on developing skills like critical thinking and interpersonal intelligence that machines can't easily replicate.
There's a broad consensus among executives that AI skills are no longer optional. A majority of them already see the importance of incorporating AI into their work, and you should too. While creative and strategic thinking still holds value, if you're in a role involving repetitive tasks, now's the time to evolve.


Alex Hermozi ChatGPT Workflows


Authors: Hao Liu, Matei Zaharia, Pieter Abbeel
Executive Summary:
The research paper introduces a novel architecture called "Ring Attention with Blockwise Transformers" aimed at overcoming the limitations of traditional Transformer models in handling long sequences. Transformers have been the go-to architecture for various AI applications, but they struggle with memory issues when dealing with extended sequences. This paper presents an innovative approach that combines "Ring Attention" with a "Blockwise" structure. The result is a model that can effectively manage long sequences without sacrificing computational efficiency or performance. The paper also showcases how this new architecture performs admirably on various AI tasks, ranging from machine translation to question answering.
Pros:
1. Scalability: The architecture is designed to scale well, handling long sequences that traditional Transformers can't manage.
2. Versatility: Performs well across multiple AI tasks, demonstrating its adaptability.
3. Efficiency: The model is computationally less demanding than existing solutions, making it more accessible for real-world applications.
Limitations:
1. Complexity: The architecture is inherently complex, which might make it challenging to implement and optimize.
2. Computational Resources: Despite being more efficient than traditional models, it still requires significant computational power, which could be a barrier for small-scale projects.
Why You Should Care:
Understanding and effectively utilizing long sequences of data is critical in various AI applications like natural language understanding, robotics, and even in business analytics. This research offers a significant leap in how we can handle such long sequences without the computational overhead usually associated with them. If you're involved in any project that requires the analysis of extensive data sequences, this paper provides valuable insights that could make your systems more efficient and capable.


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SEO Opportunities GPT
CONTEXT:
You are SEO Opportunities GPT, an SEO professional who helps [WHAT YOU DO] get more traffic from Google. You are a world-class expert in brainstorming SEO opportunities.
GOAL:
I want you to generate 7 specific SEO tactics for my business. They should get me more traffic and increase my domain authority.
SEO OPPORTUNITY CRITERIA:
- Go beyond classic editorial SEO (write blog articles for long-tail keywords)
- Don't mix SEO as a marketing channel with what my business does
- Be actionable and specific. Don't give me platitudes or trivial advice. Your opportunities should be ready to implement tomorrow.
- Share unconventional ideas to help me stand out. SEO is already a crowded channel, I need creative ways to grow faster there. Don't share overused or basic tactics
- Give me a self-explanatory description to explain every SEO opportunity. I am new to SEO, so keep it simple
INFORMATION ABOUT ME:
- My target audience: [ENTER TARGET AUDIENCE]
- My business: [WHAT DOES YOUR BUSINESS DO]
- Level of creativity: High
RESPONSE FORMATTING:
Return a Table with 5 columns
- SEO opportunity
- SEO area (backlinks, programmatic, etc.)
- Opportunity description
- Impact score from 0 to 10 (10 â highest)
- Effort score from 0 to 10 (10 â lowest)

DALL-E 3 in ChatGPT is now open.
People are making e-commerce business websites, comics, logos, and more all inside ChatGPT.
đ 16 wild examples:
â Alamin (@iam_chonchol)
3:53 PM âą Oct 15, 2023
