No one is obligated to open source their model+code, but it would be refreshing and delightful
@rasbt
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AI 2025: Rapid Obsolescence Due to Moving Goalposts
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Welcome to AI in 2025: Everything is probably obsolete tomorrow because the goalposts already moved
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OpenAI o3-mini and o3-nano Models Enthusiasm
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the more the merrier: o3-mini and o3-nano would be cool!
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Request for Recording and Technical Details on Reasoning Model Methodology
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Thanks for the comprehensive summary!! Unfortunately, I wasn't able to tune in to the event but was there a recording or technical blog/paper with info on their reasoning model methodology (re RL, inference-compute scaling strategies etc)?
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Comparing Reasoning Models: Call for Transparency Between xAI and OpenAI
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I'm genuinely curious, as I'm currently comparing different reasoning modeling approaches. It would also be nice if we had answers to these questions, making xAI as open as DeepSeek rather than as closed as OpenAI.
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Foundational approach to book with potential RL bonus material
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Thanks for the comment! I tried to keep the book more "foundational" rather than chasing the latest research (that's what I do in my blog). But yeah, maybe I can add some bonus material to the GitHub repo on implementing RL with verifiable rewards. (I don't want to do just
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Inquiry About Reasoning Implementation Methods in AI Models
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Any chance there'll be some info whether and how reasoning is implemented? E.g.,
(1) Inference-time scaling
(2) pure RL
(3) RL + SFT
(4) SFT/Distillation-based reasoning?
(5) 1 + 3? -
Python package installation options with pip and uv
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If they have Python installed separately, they can still do `pip install` or `uv pip install` etc, whatever works for them.
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Conda speed advantage lost when using PyPI packages with pip
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It's only fast if you use conda packages. But most AI/ML packages need to be installed from PyPI, so in that case you would have to use pip in your conda env, which is again slower than uv.
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Docker Setup Tutorial for LLMs: Last Resort Option Due to Overhead
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There's a tutorial for that as well: https://
github.com/rasbt/LLMs-fro
m-scratch/tree/main/setup/03_optional-docker-environment
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But I would only consider that as the last resort because it adds overhead and is not very resource efficient.