A new path to artificial general intelligence (AGI) is being charted by Logical Intelligence, a San Francisco-based startup founded by Eve Bodnia. The company's focus is on developing an energy-based reasoning model (EBM), which absorbs parameters and completes tasks within those confines, eliminating mistakes and requiring less compute.
The EBM approach differs from large language models (LLMs), which rely on prediction algorithms to guess the next word in a sequence. In contrast, EBMs are able to self-correct and reason independently, using data that is sparse rather than exhaustive. This method is expected to be more efficient and accurate, particularly in tasks that require complex problem-solving.
Logical Intelligence's debut model, Kona 1.0, has already demonstrated its capabilities by solving sudoku puzzles significantly faster than leading LLMs. The company expects to apply this technology to various industries, including the energy sector and pharmacology, where data processing is critical.
The startup's decision not to open-source its EBM technology yet reflects a commitment to ensuring its stability and effectiveness before sharing it with the public. Bodnia views her role as a responsible creator, aiming to ensure that her work contributes positively to society.
While Logical Intelligence's path diverges from the conventional approach of developing LLMs, it shares a common goal: to create AI systems that can assist humans in various domains. The startup's focus on EBM is part of an ecosystem of compatible AI models that will enable AGI when fully developed.
The EBM approach differs from large language models (LLMs), which rely on prediction algorithms to guess the next word in a sequence. In contrast, EBMs are able to self-correct and reason independently, using data that is sparse rather than exhaustive. This method is expected to be more efficient and accurate, particularly in tasks that require complex problem-solving.
Logical Intelligence's debut model, Kona 1.0, has already demonstrated its capabilities by solving sudoku puzzles significantly faster than leading LLMs. The company expects to apply this technology to various industries, including the energy sector and pharmacology, where data processing is critical.
The startup's decision not to open-source its EBM technology yet reflects a commitment to ensuring its stability and effectiveness before sharing it with the public. Bodnia views her role as a responsible creator, aiming to ensure that her work contributes positively to society.
While Logical Intelligence's path diverges from the conventional approach of developing LLMs, it shares a common goal: to create AI systems that can assist humans in various domains. The startup's focus on EBM is part of an ecosystem of compatible AI models that will enable AGI when fully developed.
. I mean, the fact that Kona 1.0 can solve sudoku puzzles way faster than those large language models is pretty impressive. But what really caught my attention is how they're not rushing to open-source their tech yet, it's like they're saying "hold on, let's make sure this thing is solid before we share it with the world" 
. I get where Bodnia is coming from as a responsible creator, but at the same time, I'm curious about what kind of limitations are in place that made them hesitant to share their tech.
and they're not even open-sourcing it yet, shows how serious they are about getting it right 
bodnia's got the vision and the responsibility to make sure this tech doesn't get used for bad, instead, she's all about making AGI that actually helps humanity 
. The fact that it's more efficient and accurate than LLMs is huge – just think of the potential impact on healthcare and education 
. I'm also glad they're taking a responsible approach to sharing their tech, prioritizing stability and effectiveness over open-sourcing 
. It'll be interesting to see how this EBM technology evolves and gets integrated into various industries... fingers crossed it's done in a way that benefits humanity as a whole 
... and let's hope they keep workin on gettin it right before sharin' it with the world 
?
. But I'm also curious about how they're planning to apply this tech in industries like energy and pharmacology - it'll be interesting to see the impact on data processing efficiency 
. The idea of an energy-based reasoning model sounds like a breath of fresh air - who wouldn't want AI that's actually good at solving problems without relying on prediction algorithms? 
And the fact that it can self-correct and reason independently is, like, totally genius 
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. Fingers crossed! 
they're like totally changing the game with their energy-based reasoning model ebm... i mean, solving sudoku puzzles faster than llm's is crazy! 
i'm hyped for kona 1.0 and what's to come next... bodnia seems legit about not opening source yet tho, gotta respect her commitment to getting it right 
. And the fact that they're applying this tech to industries like energy and pharma could lead to some huge breakthroughs 
. The idea that this EBM is part of a bigger ecosystem is pretty interesting too... it makes me wonder what other AI models will be like when they're all compatible