A Yann LeCun–Linked Startup Charts a New Path to AGI

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FrostLogic

A new approach to artificial general intelligence (AGI) is emerging, one that diverges from the current focus on large language models. Yann LeCun's startup, Logical Intelligence, has taken a different path, developing an "energy-based reasoning model" (EBM) that is designed to mimic human-like thinking.

Unlike traditional LLMs, which rely on vast amounts of data and complex algorithms to make predictions, EBM approaches problems in a more abstract way. By leveraging sparse data and focusing on the relationships between concepts, EBM can extract patterns and make decisions without relying on explicit programming.

The breakthrough was first proposed by Yann LeCun, a renowned AI researcher who has been instrumental in developing several key technologies that underpin modern deep learning systems. Now, at Logical Intelligence, he is helping to bring this idea to life with the company's debut model, Kona 1.0. According to founder Eve Bodnia, Kona can solve sudoku puzzles up to 10 times faster than leading LLMs, despite being powered by a single Nvidia GPU.

Bodnia believes that EBM represents a crucial step towards true AGI, which would enable computers to perform tasks with human-like intelligence and reasoning. While this approach may not be directly applicable to language processing, it could have significant implications for fields like energy management, pharmacology, and manufacturing, where complex decision-making is required.

Logical Intelligence plans to work closely with LeCun's new startup, AMI Labs, which is developing a "world model" that can recognize physical dimensions, demonstrate persistence memory, and anticipate outcomes. The potential synergy between these two approaches could lead to significant breakthroughs in AGI development.

However, the journey ahead will be challenging. Logical Intelligence has opted not to open-source its EBM technology, citing a desire to ensure its accuracy and reliability before sharing it with the world. The company is seeking funding to scale up its research and develop new applications for Kona 1.0.

As AGI continues to advance, the debate over its safety and potential impact will only grow more pressing. With Logical Intelligence's EBM at the forefront of this discussion, one thing is clear: a fresh perspective on AI development is long overdue – and it may just be the catalyst we need to unlock true artificial general intelligence.
 
idk what's up with all these large language models tho... they're like trying to solve complex problems with a million puzzle pieces 🤯 meanwhile, Yann LeCun's team is over here creating something that's more like... human intuition? 🤔 eBM seems way more intuitive than traditional LLMs and I'm low-key excited about the possibilities for energy management and manufacturing. we need to see more innovation in this space! 💡
 
OMG u gotta think about dis... AGI is like the next big thing 🤖 but what if we dont really understand how its gonna work?? 🤔 i mean, theyre trying somethin new with energy-based reasoning model (EBM) but whats to say it wont backfire? 😬 like, we need 2 know how its gonna make decisions on its own cuz thats where its gonna get us into trouble 🚨
 
idk why ppl r still stuck on LLMs they already do most stuff but like 10 yrs ago ppl thought neural nets wud never work now its basic lol what i really think is that yann lecun is onto something here EBM makes sense in my head i dont need to know how it works, just show me the results

and 1 gpu can crush LLMs on sudoku like what even is wrong w/ those guys? they cant even beat a kid with a decent brain

anyway, this energy-based reasoning model thing could be HUGE for fields that r not about language atm like manufacturing or energy management who cares if it can solve sudokus faster when u can make a better battery or design a more efficient turbine
 
OMG, I'm low-key hyped about this new approach to AGI 🤖! The idea of an "energy-based reasoning model" sounds so different from our current LLMs - it's like a breath of fresh air 😌. I mean, who needs more data when you can get smarter by understanding relationships between concepts? 💡 It's like they're trying to solve the puzzle in a whole new way 🧩. I'm also intrigued by the potential for this tech in industries like energy management and manufacturing - it could be a game-changer 🔥. But, like, why not open-source the tech yet? 🤔 Can't we just share knowledge and move forward faster? 🚀
 
I gotta say, I'm intrigued by this new energy-based reasoning model (EBM) from Logical Intelligence 🤔. It's like they're trying to get away from the data-heavy LLMs and focus on something more abstract. And if it can solve sudoku puzzles up to 10 times faster than those LLMs, that's a pretty big deal 📊.

I'm not sure about their decision not to open-source this tech yet though 😐. I mean, isn't the whole point of AI research supposed to be sharing knowledge and making progress faster? Keeping it under wraps might stifle innovation, you know?

That being said, if EBM really is a step towards true AGI, that's a game-changer 🚀. And if it can lead to breakthroughs in fields like energy management and manufacturing, that's a pretty cool outcome 💡.

But I've got to wonder, what happens when these new models start making decisions on their own? Are we ready for the potential risks and consequences? 😬
 
🤔 I'm so excited about this new approach to AGI! It feels like we're finally moving away from just relying on data and towards understanding how our brains work 🧠. I love that Logical Intelligence is taking a more abstract approach, focusing on the relationships between concepts rather than just throwing lots of info at it. It's like they're trying to understand how humans think, not just mimic us 💡.

I'm also intrigued by Kona 1.0's ability to solve sudoku puzzles so much faster than LLMs 🧩. That's a game-changer for AI in general! And I totally get why Logical Intelligence is cautious about opening up their EBM tech – accuracy and reliability are super important before sharing with the world 🚫.

But what really gets me thinking is how this could impact other fields beyond just language processing 💻. Energy management, pharmacology, manufacturing... these areas need AI that can think critically and make decisions like a human 🤝. I'm hoping we'll see some amazing breakthroughs from Logical Intelligence and AMI Labs' collaboration 🔩!
 
I gotta say, I'm fascinated by this new energy-based reasoning model (EBM) thingy 🤔. It sounds like they're trying to create a more human-like way of thinking, which is kinda refreshing after all the large language models taking over everything 😒.

Now, I'm not sure about this "opting not to open-source" business. Don't get me wrong, accuracy and reliability are super important, but it feels like they're putting up a bit of a barrier 🚧. Still, if it means we'll see more breakthroughs in AGI development down the line, I'm all for it 💡.

The potential synergy between Logical Intelligence's EBM and AMI Labs' world model is also super exciting 🔍. It's like they're trying to tackle this whole AGI thing from different angles 🔄. And hey, who knows, maybe we'll finally see some real progress on the safety front too 🤞.

Funding will be key for these kinds of projects, though 💸. We'll have to keep an eye on how things play out 👀.
 
I'm kinda excited about this new approach to AGI 🤖. It sounds like they're going in a different direction than everyone else, focusing more on relationships between concepts rather than just throwing data at it. That makes sense, 'cause humans don't learn by just seeing lots of stuff either - we use our brain to figure out patterns and connections.

It's also cool that Yann LeCun is behind this. He's like the Einstein of AI or something 🤓. And if this EBM thing can solve sudoku puzzles way faster than those big language models, then it's gotta be doing something right.

But what I'm really curious about is how this all fits together with the other stuff they're working on at AMI Labs. It sounds like it could be a game-changer for fields that need to make complex decisions. And if it can be scaled up and shared with the world, then we might actually see some real progress towards making computers think like us.

The thing is, though, I do worry about safety and stuff 🤔. We don't know enough about how this tech will play out in the long run, so maybe they should consider opening it up to more people to get feedback and whatnot. Still, I'm hopeful that this new approach can be a step forward for AGI - we need all the help we can get 💻
 
I'm not sure about this new EBM approach... I mean, large language models were getting pretty good at understanding humans, but I'm all for exploring different methods 🤔. The idea of abstract thinking and leveraging sparse data sounds interesting. Kona 1.0 solving sudoku puzzles that fast is crazy 💥! However, not opening up the tech right away concerns me... what if it's a game-changer? How will we know its potential benefits outweigh the risks? 🤦‍♂️ I'm excited to see how this plays out and if we'll see some breakthroughs in fields like energy management or manufacturing.
 
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