Rhalff @rhalffyahoo
Joined October 2026-
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🚨Leave Netflix tonight. Watch this 2 h 34 min Stanford class. It's the clearest, most complete, and brutally honest explanation out there on how ChatGPT and Claude are really built. From Tokenization and BPE to the Transformer architecture, the training pipeline, and the next-token decoder. No fluff. No marketing. Just the truth. Doesn't matter if you've never touched a line of AI code or if you spend your days launching Agents: by the end, you'll suddenly connect a ton of pieces you've been trying to fit together for years. The real core boils down to this: How text turns into numbers the model can "eat" (BPE tokenization) The sole mission of a language model: predict the next token How the Transformer uses Attention so tokens can pass messages to each other In training, the NLL loss pushes the probability of the entire sequence In generation, the decoder builds the response token by token The big-picture view that takes most people years to form… this class delivers it to you complete in one sitting. Free up your time. This could be, no exaggeration, the most valuable class you watch this month.
A new Stanford paper just proved that decentralized multi-agent systems can beat Claude Code and Codex on complex coding tasks, running up to 2.49× faster! DeLM tackles a key bottleneck in multi-agent systems: time wasted repeating work and waiting on other agents. DeLM replaces the central coordinating agent with a shared context and task queue. Agents pick up tasks independently, share discoveries as they happen, and build on each other’s progress. When one agent finds a solution or hits a dead end, the others can use that information immediately. DeLM beats state-of-the-art in both speed and accuracy on long-horizon tasks from Terminal-Bench 4.0, DeepSWE v1.1, and ProgramBench: - Up to 2.49× faster execution than the vanilla Claude Code and Codex baselines - Up to +19.2 percentage points in accuracy over the vanilla Claude Code and Codex baselines - Up to +19.9 points in ProgramBench test pass rate within the same 120-minute budget Built on Codex and Claude Code. Code and 720 trajectories are available so you can explore how the agents collaborate! An open-source plugin lets you try DeLM directly in Codex and Claude Code.
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