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RESEARCH
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The Handbook of NLP with Gensim: A Comprehensive Guide for AI and Data Science
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Stanford study: Two AI coding agents perform 50% worse than one alone
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A new Stanford study found that when two AI coding agents collaborate on a task, they perform nearly 50% worse than one agent working alone. The bottleneck isn't what you'd expect:
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OpenAI’s 2019 dangerous paper and authors’ current whereabouts
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check out OpenAI’s 2019 too dangerous to release paper, and where the authors are now…
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Creating good public AI benchmarks offers huge alpha opportunity
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the amount of alpha you can have right now creating good public AI benchmarks is wild, such a big opportunity
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Big Three AI Labs still lead as others lag behind
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At least until (if?) rapid improvement stops, it seems less likely someone is going to catch the Big Three AI Labs. Microsoft and Meta released their models, which were fine, but not frontier. SpaceX also hasn't regained its position. Chinese models are improving, but still lag.
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OpenAI: New Memory Architecture with Automatic “Dreaming” for Context Synthesis
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OpenAI’s new memory architecture moves beyond “saved notes” to an automatic dreaming layer that quietly synthesizes context across many chats. It optimizes for 3 things that actually matter in real work: Carrying forward useful context over time Following your preferences and
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Flow-OPD distills specialized teachers into one student model
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What if your text-to-image model could master every task without trade-offs? Researchers from USTC, UCLA, CUHK, and Xiaohongshu present Flow-OPD. They distill specialized teachers into one student via on-policy learning, plus a regularizer to protect image quality. Result:
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Gary Marcus notes AGI harder than RSI; RSI is useful coding tool
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Critical context on the new Anthropic blog: 1, AGI is *harder* than RSI (as used below). AGI: machine can do anything human can do, autonomously [not achieved] RSI (as used below): AI is a useful coding tool that humans can leverage [achieved]; it’s great at (some) code
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NEMOTRON 3 ULTRA: Open Source Frontier Intelligence Handbook with 1M Context
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NEMOTRON 3 ULTRA IS HERE
MoE – 550B, 55B Active – Base and Instruct in BF16
– NVFP4 Instruct (350GB)
– 1M Context Window
– Supports MTP Spec Decoding This release IS NOT just about the Weights
It's an Opensource Frontier Intelligence Handbook – Training Data (Pre & Post)
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Paper2Agent: AI Authors for Interactive Research Papers
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For 500 years, knowledge has existed in static papers. @StanfordHAI Faculty Affiliate @james_y_zou asked at the AI+Science conference: What if every paper had an AI author you could ask questions and apply methods directly? Here, he introduces Paper2Agent: pic.twitter.com/8ROL4gkMqU
— Stanford HAI (@StanfordHAI) 4 juin 2026For 500 years, knowledge has existed in static papers. @StanfordHAI Faculty Affiliate @james_y_zou asked at the AI+Science conference: What if every paper had an AI author you could ask questions and apply methods directly? Here, he introduces Paper2Agent: