Qwen3 32B. Over 3x the context window of everyone else. It’s not even close.
LLMS
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Celebrating Simon Willison’s 23 Years of Excellent LLM Blogging
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Congrats to Simon Willison (
@simonw
) on 23 years (!!) of blogging. Really excellent LLM blog, I sub & read everything: https://
simonwillison.net
(e.g. I sub via RSS/Atom on NetNewsWire) +If you consistently enjoy the content like I do, sponsor on GitHub: https://
github.com/sponsors/simonw -
Frequent errors on hard constrained writing prompts
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This happens very often on hard (10m+) problems. I was playing with constrained writing prompts yesterday and about a third of my attempts came back with errors.
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Anthropic’s Model Diffing Reveals Post-Training Effects on LLMs
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just learned about "model diffing" from Anthropic. buried in an october blogpost; feels really novel. training a 'crosscoder' between two models of the same family produces interpretable diffs. here post-training clearly adds refusals, QA, math, etc. pretty amazing stuff
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Snorkel Expert DaaS Powers Top LLM Teams With Programmatic Data
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Snorkel Expert DaaS is powering top LLM teams across reasoning, agentic AI, tool use, and more, backed by programmatic data curation and the global Snorkel Expert Network. Learn more: Leaderboard: http://
leaderboard.snorkel.ai Platform vision: -
Reasoning Toggle Enhances Agent App Model Performance
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When reasoning is toggled on in an agent app, the model can “think out loud” and find the best answer faster. pic.twitter.com/NvSucYMsun
— NVIDIA AI (@NVIDIAAI) 13 juin 2025When reasoning is toggled on in an agent app, the model can “think out loud” and find the best answer faster.
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Agentic AI Systems and Reasoning Models Beyond Traditional LLMs
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Building #agenticAI systems?
— NVIDIA AI (@NVIDIAAI) 13 juin 2025
🧵Let’s talk about reasoning models—a rising class of AI designed to go beyond traditional #LLMs. pic.twitter.com/YSM1vKZX6QBuilding #agenticAI systems? Let’s talk about reasoning models—a rising class of AI designed to go beyond traditional #LLMs.
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Foundations of Large Language Models: Xiao Zhu Research
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Foundations of Large Language Models Tong Xiao, Jingbo Zhu: https://
arxiv.org/abs/2501.09223 #ArtificialIntelligence #DeepLearning #MachineLearning