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…systems rather than classical medical devices AI research, agents, and open models A notable research meta-point: Chinese open-source literature over the last year was highlighted as unusually high-ROI to follow, with the claim that the…
…four web-agent benchmarks and even surpassing some proprietary agents (allen_ai). In parallel, GenReasoning launched OpenReward, a platform exposing 330+ RL environments, autoscaled environment compute, and 4.5M+ unique RL tasks through one…
…“bring your own harness” workflows for coding and computer-use agents across heterogeneous execution setups, as highlighted by Johannes Hage and in a follow-up deep dive. The release was framed by team members as months of infra…
…by eval scaffolding, access controls, and harness design. Agents, harnesses, eval environments, and continual improvement infrastructureA recurring meta-theme across many tweets was that model capability is increasingly bottlenecked by…
…Several launches targeted the missing systems layer around agents. @Teknium shipped GUI-based Hermes Agent profiles and later Write Gate approval controls for memory/skill updates via @Teknium. @weaviate_io described structured agent memory…
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A conversation with Greg Brockman about OpenAI’s path to AGI, alongside our analysis of GPT-5, Codex, and the shift to agentic coding.
Thariq Shihipar on Claude Code’s next era: prompts, harnesses, plugins, and agents—and what it takes to keep pace with the frontier.
Marc Andreessen on the future of the browser, Pi and OpenClaw, and why this wave of AI feels different.
Priscilla Chan and Mark Zuckerberg on Biohub’s plans for frontier AI and virtual biology, and the ambition to cure or prevent disease.
Anima Anandkumar on modeling the physical world, from weather to fusion reactors, and why physics needs more than language models.
John Platt on automating science, tackling climate change, and how the next generation can contribute in the age of AI.
Anthropic brings interactive apps into Claude with an open MCP standard for richer AI interfaces.
What Sam Altman’s town hall reveals about building startups in the age of AI.
Moonshot’s multimodal model brings competitive coding, native image and video understanding, and parallel agents.
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