Barbell Attention is All You Need?
LLMS
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AI’s Current Bottleneck: Pattern Memorization Requires Human Guidance
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The bottleneck of current AI is simple: the techniques we use are still predicated on pattern memorization and retrieval, and thus they need *someone* to tell them which patterns to memorize (training data, RL envs…) That role cannot yet be played by AI in a truly open-ended
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Codex Model Efficiency Falls Short of OpenAI Expectations
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Interesting that it wasn't more efficient than 5.3 codex, like OpenAI said it should be
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Most people only use ChatGPT for vacation ideas
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I’m realizing just how often we forget that we’re probably way ahead of the curve—or even totally off base—when it comes to adopting AI. When I talk to my family or friends, 99% of them have stopped at asking ChatGPT for vacation ideas.
And they don’t want to go further because -
Musk warns against ChatGPT for kids and mentally unwell
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Keep ChatGPT away from kids and the mentally unwell
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Nemotron 3 Nano Performance with Model Already Satisfactory
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Yeah. Although, Nemotron 3 Nano already worked quite well with it, so not the biggest surprise 🙂
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llmfit: Auto-detect hardware and rank 206 models by VRAM compatibility
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Stop guessing which models fit in your VRAM! llmfit is a CLI tool that auto-detects your hardware and ranks 206 models by what actually runs on your system. You download a 70B model and hope it fits. Or you estimate memory requirements across quantization levels and still end
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Model optimization: context reduction saves download resources
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Yeah and it tries half context if nothing fits at full. Saves you from downloading models that won't work
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Qwen3.5 Ranks 7th on Pinchbench as Impressive Small Open-Weight Model
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Qwen3.5 is ranked at an impressive 7th place on pinchbench atm. It's really impressive for such a relatively small open-weight model.
I think that's a perfect use case for local LLMs.
Curious to see where Nemotron 3 Super will rank.