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…here:— (@)From the rapid rise of Claude Code to a future where agents can rewrite their own harnesses, collaborate across teams, and operate across cloud and local environments, the way we build software is changing extraordinarily fast. In…
…a Developer Workhorse Long-context reasoning, controlled coding agents, practical prompting, and workload-dependent costs in the April 2025 conversation.
…that affect training of a model. LangChain's thoughts on Agents: @hwchase17 https://twitter.com/hwchase17/status/1914102698653491666 made note of a summary on agent features - is a good exercise, and [will] work to improve this table! Miras…
…Anthropic, and OpenRouter From enterprise search to coding agents, durable advantages depend on integration work, product habits, research progress, and the judgment needed to use the results.
…more complex problems and digitize more scenarios. Current agents are still in their early stages, primarily solving standardized, short-term tasks. Enabling agents to tackle more complex, longer-term tasks requires large-model coding…
…and the hardware and workflow decisions behind Dyna’s physical agents.
…feature was Shunyu Yao, who happened to focus on Language Agents for his thesis and immediately went to work on them for OpenAI. Our pick this year is Jack Morris, who bucks the “hot” trends by -not- working on agents, benchmarks, or VS…
…Former GitHub CEO whose AI work spans Copilot’s launch, browser agents, startup funding and the Vesuvius Challenge.
…@jxmnop believes the most impactful topic in AI right now is Agents. We need to build agency into the next generation of language models (agent-native LLMs) vs faking it with prompting. This will require new datasets, task definitions, and …
…Part 3 moves from an arithmetic puzzle to Minecraft agents, planning tests, and sequence models—examining how capabilities are built and where apparent success breaks down.
…offers a full stack for building and deploying production agents with tools like ChatKit and Guardrails. Codex supports speech and controller-driven coding, credited with high internal shipping velocity. Pricing for GPT-5 Pro was revealed…
…AI organization whose work spans Hermes language models and agents, context extension, and distributed model training.
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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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