The fastest growing software product of all time: the AI Code Editor. Knowledge work automation Act I.
@ninadschick
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AI Already Replacing Workers Despite Common Predictions
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‘You won’t be replaced by AI, you’ll be replaced by someone using AI’ is already proving to be untrue. (and I said that too!)
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AI Automation Threatens Mid-Level IT and Knowledge Work
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“The Revolution eats itself.” AI adjacent industries – IT/programming – is where mid-level roles are being automated first. All knowledge industries next.
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Chinese Hedge Fund Open Source OS Model Disrupts AI Market
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That’s the irony, duh. The best OS model came from a Chinese hedge fund. The operative words here being ‘open source.’ That API already being built upon by hundreds of thousands of developers. (97% cheaper than Open AI’s.)
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Reinforcement Learning AI Models Demand Infinite Computational Resources
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And that’s before we flip into a version of training AI models through RL that has an infinite hunger for compute.
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Chain of Thought merchandise and Google search disruption impact
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100% love the COT too. Need to get that MERCH ASAP! Wonder what happens to Google revenue when the rest of the world twigs on to new search?
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How AI Represents Knowledge Differently Than Humans
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Epistemology—the study of knowledge—has always been a human endeavor. But AI represents knowledge in ways we barely understand. It doesn’t store facts like us. It doesn’t “reason” like us. Instead, it encodes vast statistical relationships in high-dimensional space. This
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Mechanistic Interpretability: Understanding How LLMs Think
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Fascinating insight from @tegmark on how LLMs ‘think.’ Because AI is a ‘black box,’ mechanistic interpretability—the emerging study of what goes on under the hood—is vital. One only wonders if our study of AI epistemology can keep up with AI itself. I don’t think it can.
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AI Economics Shift: Inference and RL Drive Future Costs
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And for those arguing this means less reliance on compute—it actually means more.
 The game is shifting. The biggest costs aren’t just in pre-training on human data anymore.
 It’s on inference and new training techniques like reinforcement learning to drive the next
