FALSE PEAKS “If you just look at the graphs, you’ll see it. In a year or two AI will be able to do any economically meaningful work a human can do. Spreadsheets, screenplays, the diagnosis you get from your neighborhood pediatrician. No humans necessary. It’s going to be a
@danshipper
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Recognizing AGI: Knowing When Tasks Are Complete
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Once you truly feel the AGI you’ll just ~know~ when each task is done
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Digital Music Recording and the Future of Live Concerts
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TECHNOLOGY AND THE ARTS, a short story: “The advent of recorded digital music means the end of live concerts,” lamented an expert musicologist, 54. “Computers can now reproduce *exactly* the sound waves produced by a musician at any show. Are concerts even necessary anymore?”
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Version 4.5 Offers Improved Visual Capabilities
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Have you tried 4.5? It’s got really great visual abilities
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AI Interview Cheating: Skill Requirements and Assessment Ethics
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this is a very interesting watch my takeaway though is interviews should be modified so that this shouldn’t count as cheating. no way this guy would pass if he wasn’t technical a lot of skill and background knowledge required to use AI to pass an interview like this. and the
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Language Models: Revolutionary Tools for Nonlinear World Understanding
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Language models are a totally different kind of tool that let us see the world in a totally new way. Our best tools previously–machines and computers-operated according to linear, rational principles. They let us see the linear, rational parts of the world. Language models
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Reasoning Models Training with Deep Math and Coding Problems
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Yeah I think it’s very similar! One difference I think is that in the RL they’re explicitly exposed to lots of deep math / coding problems with detailed solutions that are presumably not in the regular base model training data. And the reasoning models can expend more thinking
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Model breakthrough transforms user perspective completely
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This is legitimately a game changer Totally altered my opinion of this model
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Empiricism triumphs over abstract generalization in AI
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The revenge of empiricism—particularly the empiricism of concrete, detailed, rich experiences—over the god of general abstraction
