I love Zyphra, and it's amazing how much they can do in a small model but the reasoning is not yet ready (extremely long winded but still inaccurate). I am looking forward to the next update
LLMS
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Anthropic releases API for Claude’s memory-organizing Dream feature
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Yesterday, Anthropic just released the API for this Dream, which is really fascinating. What it does is let the Claude agent "dream" on its own, organizing the memories it wrote down in past sessions—merging duplicates, updating expired ones, unifying contradictions, and even
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Subquadratic Attention and Data Quality: Challenges for Large Context AI Models
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people on here are dumb. the latest subquadratic attention trick might produce a model that *processes* 1M tokens (or 12M..) without going insane, but that doesn't make it good the real problem isn't the architecture, it's the data. humans haven't generated many contiguous
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Epstein suicide note OCR benchmark test results
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Epstein Suicide Note OCR Benchmark test: 1. Gemini 85%
2. GPT-5.5 82%
3. Grok 4.3 80%
4. Opus 4.7 75% -
Local Grok Model for Robot Task Execution
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I assume there will be a local version of Grok running in the robot. After all telling it to "please clean up this mess" doesn't require a huge model.
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Diffusion Models for AI Reasoning and Scalability
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Diffusion seems like a much more natural way to get good reasoning to me. And you can directly scale as many more steps in diffusion as you want – no problem!
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Grok watches videos before anyone else, hinting at its capabilities.
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Grok watches my videos before anyone else does. Hint, hint. 🙂
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Grok’s interaction with other AI systems discussed
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When you meet an Optimus in the street and you talk to one, it is Grok talking to you. Yeah, the system that slaps you upside the head is probably not Grok. But Grok will tell that system to slap you upside the head because you made an uninformed point. 🙂