Patricio M

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Patricio M

Patricio M

@PatoDevelop

Developer.

Katılım Ocak 2023
2.3K Takip Edilen309 Takipçiler
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Patricio M
Patricio M@PatoDevelop·
Can an AI learn new words just by looking at pictures — like a character stepping through the Looking-Glass? Imagine teaching a robot: “This is slithy” (pointing at frogs) or “This is vorpal” (pointing at frogs + ships). Made-up words straight out of Lewis Carroll. Will it actually understand and remember them? In my new paper Lexical Consensus, we tested exactly that. We discovered a clear “perceptual gradient”: AI learns easily when concepts look similar (native categories or coherent groups), but struggles or fails completely when you mix very distant things. It turns out the robot’s internal “vision library” has natural shelves — words stick when they fit the existing structure. Full paper (open access): arxiv.org/abs/2606.22207 Plain-language explanation: gist.science/paper/2606.222… What do you think — do AIs need to reshape their “mind” to truly learn language, or is perception enough? Curious to hear your thoughts!
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Patricio M
Patricio M@PatoDevelop·
Agents “look” at their environment… and still fuck up. Stale flight data. Wrong baggage policy. Misleading API response. Looking isn’t enough. Trusting what you see isn’t enough either. So why must reliable agents be built from the boundary inward, not patched from the inside out. Worth your time if you’re tired of fragile agent hype: neosimbionte.substack.com/p/when-looking…
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Jon Hernandez
Jon Hernandez@JonhernandezIA·
"Perfectly controllable AI would also be fundamentally limited." Stephen Wolfram, physicist and founder of Wolfram Research, says unpredictability is the price of using computation at full power. The real shift is from machines we understand to intelligence we must learn to coexist with. Open intelligence will be governed through adaptation, not certainty.
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Alejandro Jodorowsky
Alejandro Jodorowsky@alejodorowsky·
Hoy es domingo, mi día de descanso. Después de meses de trabajo intenso, estoy finalmente descansando de verdad con mi esposa Pascale, al borde de la playa. Te envío muchos saludos y toda mi amistad, hasta el próximo domingo, Alejandro . Photo @PascaleMJodo
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Patricio M
Patricio M@PatoDevelop·
@Rainmaker1973 Esa declaración contiene varias afirmaciones que no se pueden probar, en especial la de los libros. Ya que es solo un experimento mental, que contradice a la ciencia misma que trata de probar. Buen comediante pero una lógica endeble.
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Massimo
Massimo@Rainmaker1973·
Atheism in a nutshell according to Ricky Gervais
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Wolfram
Wolfram@WolframResearch·
Built for programmers who want certified practical AI skills. Wolfram U's Foundations of AI microcredential takes you from neural network basics to building real applications with LLM integration tools. Work at your own pace and get a certification. wolfram.com/wolfram-u/micr…
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Balaji
Balaji@balajis·
We’re building Silicon Valley outside Silicon Valley.
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Karen X. Cheng
Karen X. Cheng@karenxcheng·
i hooked up a rotary phone from the 1920s to an AI agent, that replies on a mechanical display it’s like a dumbphone without distracting notifications here’s how i built this w/ @cursor_ai
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Matthew Berman
Matthew Berman@MatthewBerman·
Anthropic discovered J-space and it's a big deal. 🔸Where models do deep (invisible) thinking 🔸No lying in the J-space (alignment solution) 🔸We can modify the J-space to change AI's thoughts Full breakdown:
Anthropic@AnthropicAI

New Anthropic research: A global workspace in language models. Of everything happening in your brain right now, only a tiny fraction is consciously accessible—thoughts you can describe, hold in mind, and reason with. We found a strikingly similar divide inside Claude.

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Fabien
Fabien@Fabien_Mikol·
LeCun : "le pb du LLM est que la seule communication d'information d'une étape à une autre est à travers un token discret de 3 octets", alors qu'un véritable raisonnement nécessite de manipuler en interne des représentations dans l'espace latent. L'étude Anthropic réfute cela 🧵
Anthropic@AnthropicAI

By watching the J-space, we can see Claude silently perform reasoning steps in its head—noticing bugs in code, identifying images, and more.

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Patricio M
Patricio M@PatoDevelop·
@IAI_TV What if language cannot shape thought until it first finds a place to attach? In Lexical Consensus, I show that artificial agents can acquire novel words but only when perception gives those words a stable space. arxiv.org/abs/2606.22207
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Institute of Art and Ideas
Institute of Art and Ideas@IAI_TV·
Language does far more than describe the world. | bit.ly/4h02TPs In this interview, cognitive scientist and linguist Lera Boroditsky reveals how language actively shapes how we perceive space, time, colour, and causality, and emphasises why losing it is so dangerous.
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elie
elie@eliebakouch·
computed the similarity (CKA) on the J-lens geometry of every layer inside and across 38 open models. the patterns are weirdly universal: same depth layout, same organization at the same relative depth, even between unrelated families like llama and olmo eliebak.com/viz/jspace-open
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Anthropic@AnthropicAI

New Anthropic research: A global workspace in language models. Of everything happening in your brain right now, only a tiny fraction is consciously accessible—thoughts you can describe, hold in mind, and reason with. We found a strikingly similar divide inside Claude.

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Patricio M
Patricio M@PatoDevelop·
@AnthropicAI J-space can be interpreted as an empirically identified verbalizable submanifold of the pre-collapse intention space. This is very close to the core claim of Intention Collapse: the final text is not the whole cognition, but a compressed projection of a richer internal state. 😎 arxiv.org/abs/2601.01011 It's time to celebrate.
Anthropic@AnthropicAI

New Anthropic research: A global workspace in language models. Of everything happening in your brain right now, only a tiny fraction is consciously accessible—thoughts you can describe, hold in mind, and reason with. We found a strikingly similar divide inside Claude.

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Anthropic
Anthropic@AnthropicAI·
New Anthropic research: A global workspace in language models. Of everything happening in your brain right now, only a tiny fraction is consciously accessible—thoughts you can describe, hold in mind, and reason with. We found a strikingly similar divide inside Claude.
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Patricio M
Patricio M@PatoDevelop·
@HEI Thanks for sharing my work
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👾AI Operator👾
👾AI Operator👾@InfraScaler·
I taught a 1989 Nintendo Game Boy to run a real transformer. Not streamed. Not precomputed. Not faked. The Sharp LR35902 actually computes an int8 autoregressive forward pass from weights baked into a .gb ROM. Meet DMGFormer 🧵👇
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Santa Fe Institute
Santa Fe Institute@sfiscience·
Present-day LLMs like ChatGPT and Claude can write poetry and solve difficult algebra problems with astounding speed and precision. Some researchers have referred to this phenomenon of AI acquiring startlingly human-like skills as "emergence." But not everyone agrees with this terminology. A new paper by SFI's David Krakauer, Melanie Mitchell, and John Krakauer proposes a framework grounded in complexity science to clarify whether a system's capabilities are truly emergent. santafe.edu/news-center/ne…
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Keşfet

@PythonPr @alejodorowsky @PascaleMJodo @Rainmaker1973 @ATRightMovies @cursor_ai @MatthewBerman @Fabien_Mikol