@rasbt
ML/AI research engineer. Ex stats professor. Author of "Build a Large Language Model From Scratch" (https://amzn.to/4fqvn0D) & reasoning (https://mng.bz/lZ5B)
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The series creator presents distillation as an efficient alternative to the reinforcement-learning runs covered earlier.
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A post outlines a follow-up lesson covering training metrics, clipped policy ratios, a KL loss term and format rewards.
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The poster says their microphone disconnected during the conversation but calls Schmidhuber’s points the more interesting ones.
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Sebastian Raschka’s sixth installment moves from reward concepts to a training loop and MATH-500 evaluation.
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The guide’s author says it covers RNNs, CNNs, transformers and calibration, with hands-on experiments on accuracy and efficiency.
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A post says the API supports visual inputs and is tuned to make decisions in less than a few hundred milliseconds end to end.
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API pricing is $2 per million input tokens and $10 per million output tokens. OpenAI reports near-Astra results on several coding and work evaluations.
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The author describes the write-up as a guide to RNNs, CNNs, transformers and calibration, with hands-on experiments on accuracy and efficiency.
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OpenAI says each Dot has its own cloud computer and can connect to over 4,000 apps. Every reports that an early tester’s Dot spotted a scheduling conflict, but also had permission problems and dropped messages.
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The person introducing Ember-1 says their research team made it and claims it keeps the same quality as Kimi K3 while being 40% faster and cheaper.
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A post introducing the tutorial outlines token-probability calculations in PyTorch and a self-refinement loop for generating critiques and revised answers.
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One user says a “smart/magic tool” changes their design approach. A reply places Jev-like systems between highly efficient, special-purpose tools and a “general hammer.”
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OpenRouter says Typesafe's Jev returns structured decisions with probabilities rather than generated text. A browser-agent creator reports using it with Browser Use to find flights in 7 seconds for $0.0039.
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The creator’s outline moves from extracting and normalizing model answers to checking mathematical equivalence, grading answers and evaluating a model on MATH-500.
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The critic suggests people haven't looked at the paper themselves—or have asked a large language model to do it for them.
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Amodei says Anthropic will give third-party evaluators permanent, employee-level access to its systems to verify adherence to safety measures, report incidents and assess models’ alignment during training.
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The host’s September 9 announcement said the discussion would examine what would count as a verified solution and what such a result could mean for artificial general intelligence.
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A user calls V4.1 “very brittle,” claiming it can see “massive gains” when AGENTS.md instructions are optimized for a particular scenario.
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An opencode2 developer says its codemode can display a user interface and prompt for permissions even when a model sends over a chunk of code.
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Video covers KV caching to prepare base models for later reasoning techniques.
