Apr 13 · 11 min read · Artificial intelligence has an energy problem that could define its limits. Training a single frontier large language model can emit as much carbon as five average American cars produce over their entire lifetimes. Running production AI systems at sc...
Join discussionApr 4 · 4 min read · We are used to thinking of AI as a tool—a fancy autocomplete that helps us write code, generate images, or summarize emails. But what happens if you remove the human from the driver's seat entirely? W
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Mar 21 · 7 min read · The RL Renaissance: Why Three Papers in One Day Signal the Death of Imitation Learning for AI Agents Reinforcement learning is the future of agent training, and imitation learning is a dead end. Three independent papers all converge on the same thesi...
Join discussionMar 21 · 7 min read · The Future of Coding Agents Isn't Writing Code. It's Debugging It. FAIR's "Neural Debuggers" paper quietly redefines what LLM-powered development should look like. Every AI coding tool today is obsessed with generation. Type a comment, get a functio...
Join discussionMar 21 · 7 min read · Most of Your Reasoning Model's Thinking Is Actively Harmful 57% of chain-of-thought tokens make your model dumber. Here's the proof and the dead-simple fix. Here's a number that should make you uncomfortable: on MATH-500, you can delete 57-59% of a ...
Join discussionFeb 9 · 8 min read · You hear about new AI every day. Some write stories. Some make pictures. Some chat with you. But Genie 3 is different. It doesn't just create things - it creates entire worlds. Let's compare it to other AI and see why it's special. How Is Genie 3 Dif...
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Jan 20 · 11 min read · The Crime Scene In Part I and Part II, we proved that LLMs don’t discover “Platonic forms”—they compress corpus statistics. The models haven’t escaped the cave; they’ve just memorized the shadows perfectly. But this revelation creates a new question:...
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Jan 19 · 11 min read · The Central Claim “Reasoning models generate societies of thought.” This headline from Google and the University of Chicago (Kim et al., arXiv:2601.10825) represents a fundamental misunderstanding of how transformers work. The researchers claim DeepS...
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Jan 18 · 11 min read · The Crime Scene In Part I, we dismantled the myth that AI models are discovering “Platonic Forms” of reality. We found that they haven’t escaped the cave; they’ve just memorized the shadows. But if they aren’t modeling reality, what are they doing? T...
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