"Introducing a breakthrough new technique for sub-quadratic attention, making long-context LLMs 10x cheaper without sacrificing performance" Me:
GENERATIVE AI
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Zyphra small model impressive but reasoning still inaccurate
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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
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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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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% -
AI UGC’s rapid commodification and startup lifecycle
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OpenAI debuted several big updates for @ChatGPTapp ads, including a beta self-serve Ads Manager, new CPC bidding, conversion tracking, etc. For @Inc
, I wrote about ChatGPT ads moving beyond the controlled pilot phase, @OpenAI
’s approach to CPC bidding without explicit keywords, -
AI-Generated Fan Art and Musk’s Tech Ventures
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we want this to be deepagents deploy: https://
docs.langchain.com/oss/python/dee
pagents/deploy
… whats missing? would love feedback! -
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!
