Matthias Heger ⏩

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Matthias Heger ⏩

Matthias Heger ⏩

@modelsarereal

PhD (AI, RL); current interests: ontological pattern realism ontological narrative realism

Germany Katılım Şubat 2011
731 Takip Edilen1.3K Takipçiler
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Matthias Heger ⏩
Matthias Heger ⏩@modelsarereal·
Qualia (subjective experience) + consciousness explained: What it is like to see a red rose can be clearly and fully explained in technical terms based on data, data structure, and data processing. See the thread 🧵
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Massimo
Massimo@Rainmaker1973·
Arthur C. Clarke on BBC's Horizon in 1964, when he gave some astonishing predictions about the future.
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Matthias Heger ⏩
Matthias Heger ⏩@modelsarereal·
@mikeamark His real uncomfortable truth is, that AI is more general : It passes more university exams than him It is at least human-equivalent (passes Turing test) It can mimic humans but humans cannot mimic LLMs. LLM hating is his business model
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Michael A. Markosian, M.D.
The Uncomfortable Truth About AI “Reasoning” | Gary Marcus agues that scaling will not lead to AGI. Instead of adding a bunch of data to neural nets, we should build essential logical and world-model structures into AI systems from the start then add data to that structure (innate, core cognition). youtu.be/iFYF_e1GSGI?si… via @YouTube
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Matthias Heger ⏩
Matthias Heger ⏩@modelsarereal·
@nocontextpets1 the human is stupid and those who cannot see that they do not see the whole context arranged for clickbait without empathy for their pets
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Oldrich Senkyr
Oldrich Senkyr@oldrivonbahnhof·
@modelsarereal @Plinz @GJarrosson I’m forced to read it, because I follow Joscha and this shit is appearing in my main thread. And I’m oldschool, I don’t give up after three sentences if I don’t like them, we used to read whole books that were not making much sense.
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Gabriel Jarrosson
Gabriel Jarrosson@GJarrosson·
A PhD student just got into YC building a spy drone that looks exactly like a bird. Counter-drone systems ignore birds. Too many false positives. So the drone flies completely undetected. To stop it, you'd have to shoot every bird out of the sky. That's not a product insight. T hat's first principles thinking at its sharpest. It reminded me of Elon spotting a toy car with a single-cast chassis. That observation became Tesla's gigacasting advantage. The outsider sees what the expert stopped questioning years ago. YC is backing more of these founders now. Domain expertise helps. But it's not the ticket. A clear problem, a defensible insight, and proof you've done the work. That's what gets you in.
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Matthias Heger ⏩
Matthias Heger ⏩@modelsarereal·
@rohanpaul_ai We could also focus on the design of wormholes instead of known, functional propulsion systems.
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Rohan Paul
Rohan Paul@rohanpaul_ai·
Fei-Fei Li warns that AI may be staring too hard at language models. The world is not just text on a screen. It is physical, visual, spatial, and always changing. Most of the economy runs on seeing, moving, interacting, and embodied intelligence.
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Matthias Heger ⏩
Matthias Heger ⏩@modelsarereal·
@rand_longevity It is nonsense. I don't think all those supplements have slowed down his aging process either; if anything, the opposite is true.
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Rand
Rand@rand_longevity·
longevity escape velocity 4-6 years away
Big Brain AI@realBigBrainAI

Ray Kurzweil, Director of Engineering at Google, on the year humans will stop aging faster than science can reverse it: He is one of the most prominent futurists in tech, and he believes that year is closer than most people think. He explains the core concept: "By around 2032, people who are diligent with their health are going to reach what we call longevity escape velocity. This is when scientific breakthroughs will add more time to our remaining life expectancy than is going by." In other words, for every year that passes, science could be adding more than a year back to your life expectancy. "So we could be going backwards in time as far as our health is concerned." Kurzweil sees this transformation as part of a larger shift in what it means to be human: "As we emerge with AI in this way, we will become a hybrid species. We will still be human but will be enhanced by AI." The mechanism that makes this possible? AI's ability to process biological complexity at a scale humans never could: "We'll soon have the ability to rapidly test billions of possible molecular sequences to find cures ultimately for all diseases." For Kurzweil, this isn't about chasing immortality for its own sake. He frames overcoming biological limits as a continuation of something humanity has always done: "Overcoming the limitations of biology is not a new story." His personal motivation is refreshingly simple: "It's for why I want to live indefinitely because I want to see my loved ones and I want to continue working on my creative projects. I don't see a time when I would not feel that way."

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Matthias Heger ⏩
Matthias Heger ⏩@modelsarereal·
@r0ck3t23 Brains do not learn from almost nothing. People can do their first job after 20 years.
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Dustin
Dustin@r0ck3t23·
Yann LeCun ignored every rule in the textbook. And the textbook was wrong. He built neural networks with more parameters than data points. Every statistician alive said that shouldn’t work. LeCun: “Every pre-deep learning textbook told you, you need to have fewer parameters than you have data samples.” He trained them on non-convex objectives with no guarantee of convergence. Every optimization theorist alive said he was out of his mind. LeCun: “All those things you read in textbooks and they tell you to stay away from this. And they’re all wrong.” Not most of them. All of them. An entire field spent decades warning people away from the one path that actually led somewhere. LeCun didn’t argue. He just looked at biology. LeCun: “We know that the brain works. We don’t know how, but we know it works.” Billions of parameters. Learns from almost nothing. Runs on messy non-convex biology that violates every optimization theorem ever written. And it works. In the late 1800s, theorists mathematically proved heavier-than-air flight was impossible. The birds never read the paper. The AI field spent decades arguing over symbolic systems, hand-crafted rules, and carefully constrained architectures. LeCun kept pointing at the thing sitting inside every skull in the room. LeCun: “Intelligence is inseparable from learning.” You cannot program a mind into existence. You cannot engineer understanding. Every intelligent thing that has ever existed on this planet arrived there one way. It learned. That’s not a computer science insight. That’s a claim about the nature of mind itself. And the scariest part isn’t that the textbooks were wrong. It’s that the people who wrote them were the smartest ones in the room. The biggest threat to discovery has never been ignorance. It’s the expert who knows exactly why something is impossible while it’s already happening inside their own skull.
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Matthias Heger ⏩
Matthias Heger ⏩@modelsarereal·
@Plinz @GJarrosson It would never occur to me to tell someone how to write or whether or not to use AI. No one is forced to read anything.
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Joscha Bach
Joscha Bach@Plinz·
@GJarrosson Can you please not use AI to write? It's painful to read this
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Kekius Maximus
Kekius Maximus@Kekius_Sage·
Could consciousness exist independently of our brain?
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Matthias Heger ⏩
Matthias Heger ⏩@modelsarereal·
@JosephJacks_ @ylecun Every neuron of layer n+1 has input from every neuron of layer n. this is all you need and well established. everything else is esoteric bla bla.
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JJ
JJ@JosephJacks_·
I’m coming around to @ylecun’s JEPA … When you study quantum mechanics deeply enough, you realize that living systems have holographic computing substrates called microtubules … which form long-range coherent networks … and those are holographic! JEPA is very hologram-esque: — predicts in embedding space, not pixels (holograms encode interference, not images) — masked prediction = whole-in-part (any fragment constrains the whole) — relational, not absolute (meaning = predictability between parts) — EBM framing = learned holographic associative memory (cf. Plate HRRs, Kanerva SDM)
Haider.@haider1

Yann LeCun says LLMs are strongest in domains where language itself is the substrate of reasoning, like math and code They can solve problems, prove theorems, and write programs — but they are not creative mathematicians, software architects, or computer scientists "their role is to help humans build"

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Matthias Heger ⏩
Matthias Heger ⏩@modelsarereal·
@haider1 They are better mathematicians , software architects and computer scientists than himself.
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Haider.
Haider.@haider1·
Yann LeCun says LLMs are strongest in domains where language itself is the substrate of reasoning, like math and code They can solve problems, prove theorems, and write programs — but they are not creative mathematicians, software architects, or computer scientists "their role is to help humans build"
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Matthias Heger ⏩
Matthias Heger ⏩@modelsarereal·
Qualia ARE complex neural associations based on sensory stimuli. - not more. At first, a child perceives coffee or beer as bitter and unappetizing. Once the body has become accustomed to the effects, the subjective experience changes.
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Matthias Heger ⏩
Matthias Heger ⏩@modelsarereal·
Subjective experience is the perception of the combination of data and the internal data structure. In neural systems, the internal data structure is an activation pattern. Many UNCONSCIOUS associations are triggered The sum of all these associations is your subjective perception
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Matthias Heger ⏩
Matthias Heger ⏩@modelsarereal·
@JosephJacks_ there is just no other stable business model based on AI because AGI would disrupt itself.
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JJ
JJ@JosephJacks_·
“Rest and vest” comes in many forms Often, early employees sell the founders on their value and then just do the bare minimum for 2 years to pass their cliff Solution? QUICKLY fire these mediocre losers
Charles Rollet@CharlesRollet1

EXCLUSIVE: A third of Thinking Machines Lab's founding team has now left Mira Murati's buzzy AI startup. Last year, TML seemed like an impenetrable fortress, with staff resisting Zuck's 9-figure offers. So what changed? Their equity vested.

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eternal classic
eternal classic@eternalclassic_·
went to the aquarium and captured whatever this is
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