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@rulinshao
PhD @UWNLP, Prev @Meta @allen_ai. CLMs, DR Tulu, Spurious Rewards, ReasonIR, MassiveDS
AI
Dream Labs says Dream-1 controls unfamiliar two-armed robots on unseen tasks, with access starting at $3 an hour.
AI
A post praises @ZhentingQi's visualizations and favors giving agents more freedom to decide how to communicate and collaborate.
AI
A post introducing the method says it uses instruction following and external random-number generation, not token entropy.
AI
Researchers study agents that turn experience into reusable artifacts; they say the top performer need not learn most efficiently.
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An organizer says the event with E14 Fund is set to start at 8:30 p.m.
AI
A reply credits @RulinShao for two papers on the list; the credited author celebrates the result.
AI
In posts describing new research, the authors say some base models recovered much of reinforcement learning’s reasoning gain when prompted with model-specific “token cues,” and they say the work also includes a safety case study on refusal and compliance.
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Posts on X congratulated Nathan Lambert and Trillium Labs after a launch, with several users describing the effort as open, science-oriented or focused on open post-training. Lambert later said some criticism came from Substack and more general-audience AI followers, not the technical AI community.
AI
Asai says the planned work focuses on agentic systems for open-ended, long-horizon scientific discovery.
AI
A poster says they provide day-one support for CLM + Pi-agent and shares a command to try it: `pi install npm:@lolipopshock/pi-clm`.
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A post about the project claims a 65% score gain with the same compute on a 24-hour multi-repository agent-swarm task.
AI
OpenRSI says the benchmark turns fully open-source projects into research environments, with AI agent runs lasting 60-plus hours on 1,000-GPU clusters.
AI
Shannon Shen shares early-stage project simulating GitHub with agents to study collaboration.
