A physicist proposes a test: train an AI on physics only up to 1925 and see whether it invents quantum mechanics. If it can, it might find theories we can't guess.
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AI may use up all public human text by 2032. Sergey Markov offers a half-joke: maybe our world is a generator of synthetic training data for some model.
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The original definition of AGI can't be tested, so companies wrote their own. In one version, AGI is whatever earns a billion dollars. Here is why that matters.
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A model that can take a million tokens may use only 5–10% of them well. Mikhail Burtsev on why attention blurs, and why a fresh chat often beats a long one.
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A million memristors draw microwatts, and a million synapses is about a spinal cord's worth. Max Talanov on why that could make implants for paralysed patients possible.
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Credit and job decisions now come from algorithms with the weight of a court ruling. Sergey Markov on why you can't see the evidence or appeal.
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A human genome cut into ten-letter words runs to 300 million tokens. How a language-model trick lets AI read DNA, and why drug doses and gene therapy are the targets.
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A language model sees only words, yet to guess the next one it may have to rebuild the world behind them. An AI researcher on why that dumb task asks so much.
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Chatbots get tangled in long chats because attention stretches thin. A working-memory token lets a transformer read in small chunks and carry the thread to 50 million tokens.
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