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…the broader thesis that “systems talent is the moat.” Agentic engineering & “context engineering” replaces prompt-only thinking Context engineering framing: Weaviate draws the taxonomy: prompt engineering = phrasing, context engineering =…
…Intelligence. Retrieval, model architectures, and software engineering would all matter to LlamaIndex, though Liu qualifies the suggestion that his earlier ranking work was already RAG. LlamaIndex began with a concrete constraint: Liu…
…one" or "this number present onscreen" refer to, based on 3 contexts - 1) what's on screen, 2) entities relevant to the conversation, and 3) background entities. They enable all sorts of assistant-like usecases: Which is a challenging task …
…company’s own data. Both ideas support her emphasis on customer context and the slow work of changing how people operate. Guo argued that focused applications can tune a workflow to consume fewer tokens and retain the savings, while private…
…parallel writes, while long-horizon agents focus on context engineering and persistent file-centric workspaces.
…own data, rather than depending on a single model. Models, context, and customer control Nadella described Microsoft’s AI products as multi-model harnesses: systems that give models access to tools and rich context. He stressed the work…
…Unreasonably Difficult Interview Process00:17:14 Entropy and Context Engineering: The Future of AI Agents00:23:28 The MCP Debate and AI Industry Sociology00:26:01 Consulting, Digital Transformation, and Conference Insights
As of February 2026, Sherwin Wu led engineering for OpenAI’s API platform. His work includes collective credit for the 2023 function-calling launch and public technical explanations of how developers connect models to tools, evaluate agents…
…supply chain AI system @LangChainAI. @hwchase17 also mentioned context management in langgraph. Weave-Agent Planner Discussion: @jd_pressman discussed the design and planning of Weave-Agent, considering approaches like ReActTree and MuZero …
…Its proposed advantage is the platform’s existing application context: runtime data, error logs, preview deployments, development-server setup, and configured secrets. These integrations reduce the onboarding work needed to make an agent…
…current standard of 3-year lock-in contracts with hyperscalers. Context Engineering & RAG Systems: The importance of context engineering for RAG systems was a major topic. LangChainAI held a meetup on the subject, with @RLanceMartin sharing…
…become capabilities such as generating text or images. The engineering question is what those capabilities let a customer do. Putting a model into production can mean three different operating situations: - Hosted API: call a provider’s…
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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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