When I went all in on AI in 2016/2017, it was still a niche field. Today, the “AI vibe shift” is undeniable. We are living through a defining moment in history. Here's what's happening now: Intelligence is being developed as an industrial commodity. We must urgently ask
@ninadschick
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AI Advancement and Human Knowledge: Existential Risk Discussion
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Yes, I hear you. Your point is more nuanced than ‘AI can’t advance human knowledge’ as I originally took literally. This falls into the P Doom conversation right? Perhaps one day AI *will* be so advanced that we will be rendered dumb/ incapable of understanding. If we
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AI Evolution and Human Epistemology: Can Biology Adapt Fast Enough?
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Yes, that's thoughtful/profound,/philosophical. But our frameworks of epistomology will evolve – it already is, no doubt AI will help. I wonder if human biology will too – and if it can happen at a rate fast enough to comprehend the scenario you describe.
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Can humans learn from increasingly autonomous AI problem-solving?
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So your assumption is that humans won't be able to learn from the increasingly autonomous problem-solving capabilities of AI? On what basis?
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LLMs as Architecture for Understanding Natural Complexity
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Respectfully disagree. It's the beginning of an architecture that allows us to understand the complexity of the natural world in human language. Take the field of Genomic LLM's as an example: https://
arxiv.org/html/2407.1143
5v1
… Not to mention that LLM's have made the whole language of -
AI Lowers Programming Barriers: Enabler or Limiter?
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How does that limit human knowledge? (Putting aside the breakthrough in the hard sciences) you're saying that in the world of programming AI's already lowered the barrier to entry to such an extent that anyone can do it. Sounds like an enabler, not a limiter.
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LLMs as Tools for Scientific Discovery and Human Genome Understanding
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What do you mean? LLMs are being used as a tool of scientific discovery too: Like to understand the complexity of the human genome. (In human language!) The 'generative' part of AI models will become more important too, as we come to the limits of human knowledge and RL is
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AI Revolution in Hard Sciences: Discovery to Climate
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Skepticism is healthy, but if you're not factoring AI's revolution in the hard sciences (Biology/Physics/Chemistry!) you're either badly informed or arguing in bad faith. This is already changing: 1. Scientific Discovery
2. Healthcare
3. Material Sciences
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AlphaFold Nobel Prize: AI Revolutionizes Protein Structure Prediction
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Yes. AlphaFold (Nobel Prize winner FYI) perhaps the best example. It solved one of the most complex problems in biology: mapping 3d structures of proteins (IE, the building blocks of life.) It does it w/ anatomical-level accurary catapulting the entire discipline of biology
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AI Demonstrably Improves Human Knowledge Systems
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"AI won't improve on human knowledge" is a horrible take that is already demonstrably untrue.