Not sure, honestly. If that's the case, it wouldn't surprise me, it's quite common. Claude distills from the internet & potentially others, others distill from Claude,… it's just the natural development cycle. GLM 5.2 is >10 points better
@rasbt
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Debate on most capable open-weight LLM averaged across benchmarks
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I don’t disagree. Let’s say most capable open-weight LLM when averaged over all major benchmarks (reasoning, coding, logic, tool use, math, knowledge)
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GLM-5.2: best open-weight model with multi-head latent attention
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Just updated with the recent release of GLM-5.2. The best open-weight model today. Architecture-wise, it is built on the GLM-5 and GLM-5.1 architecture that I covered previously, meaning it reuses the Multi-head Latent Attention mechanisms.
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Nuance in ‘open-weight model’: OpenRouter vs Ollama
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In general, I agree. But they are related but slightly different things in some contexts. Like when I say "I am running an open-weight model", I could be using OpenRouter or ollama cloud models.
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Training/validation accuracies as selection criteria in classic ML
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Training and/or Validation set accuracies (not Test set accuracy) are common selection criteria in classic ML, and there's nothing wrong with that per se
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Sparse models of that size: 40-60 GB, fast; dense models too slow
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Sparse models of that size use about 40-60 gb and are fast enough for me (but dense models of that size I agree there bare too slow)
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New open-weight 30B model from Cohere for agentic coding
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New cool open-weight model from Cohere: a new lightweight 30B open-weight model for agentic coding tasks. It builds on Command A+ using parallel transformer design. Interesting, even though it's almost twice as small, it doubles
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Shower thoughts: autoencoders as good addition after LoRA
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This was purely based on shower-thoughts :D.
As someone called out, autoencoders would have been a good addition after LoRA. -
Ablation studies invisible to user humorous quote
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"ablation studies are not visible to the user" 😛
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LLM shadow-banning was not planned for 2026
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The shadow-banning of LLM development was certainly not on my bucket list for 2026.