Who should design the training environment for an RL agent, the practitioner or the policy itself? RL pipelines for LLMs usually rely on manually redesigned environments between stages, with practitioners guessing which configuration will best improve the current policy. This
RESEARCH
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Stem: Efficient Long-Context LLM with Token Position-Decay
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What if your LLM could process long contexts without the quadratic attention bottleneck? Enter Stem: a plug-and-play sparsity module that rethinks causal information flow. It uses a token position‑decay strategy (keeping early tokens for recursive dependencies) and an
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Technical dive inside the new Midjourney Scanner
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A technical dive inside our new "Midjourney Scanner" pic.twitter.com/wJBHz2O7ro
— Midjourney (@midjourney) 18 juin 2026A technical dive inside our new "Midjourney Scanner"
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Fei-Fei Li: Spatial Intelligence in the AI Model War
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"The World's AI Model War" (Not that we need another AI war)
https://fastcompany.com/91549046/fei-fei-li-world-labs-ai-gets-physical-models-spatial-intelligence
… @FastCompany
with the profile
@drfeifei -
GLM 5.2: Second Most Important Open-Source AI Moment After Qwen 3.5
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GLM 5.2 was the 2nd most important moment in Opensource AI after Qwen 3.5 27B in 2026
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Exponential tech and open models make investment hard
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In large part that’s because it’s hard to invest in a world where the exponential continues and open models never close thr gap. The value js just chips, energy, data centers, and the labs themselves.
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3 years of AI progress: Modelscope vs Grok Imagine 1.5
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3 years of AI progress! Incredible 😍
— Amitav Bhattacharjee (@bamitav) 18 juin 2026
Modelscope (left), Grok Imagine 1.5 (right)#AIart️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️ #AIartwork #AIvideo #grok #AI #artificialintelligence @AlbertoEMachado @Eli_Krumova… pic.twitter.com/VfMZpskwqq3 years of AI progress! Incredible Modelscope (left), Grok Imagine 1.5 (right) #AIart️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️ #AIartwork #AIvideo #grok #AI #artificialintelligence @AlbertoEMachado @Eli_Krumova
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New paper clarifies that competent AGI has not been achieved yet
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Hypesters sometimes pretend that AGI has already been achieved, but that’s not certainly true by traditional understandings of what that term means. A new paper from Google DeepMind, Waterloo, ANU and UCL makes clear that what the new paper calls “competent AGI” has NOT yet been
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Excitement over AI accelerating scientific progress, referencing Against Explanations
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i wrote "against explanations" in 2023 about how AI might change the sciences…extremely pumped to see the prospect of so much progress so fast https://
every.to/chain-of-thoug
ht/against-explanations
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China and its Mythos model: speed is crucial
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It is certainly not a coincidence, I think the same thing. The question, in the end, is how fast China will release its own Mythos-class model. Almost everything depends on it.