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1465 results in retrieved candidates
…released: An open-source framework for building in-app AI agents, CopilotKit v0.9.0 supports GPT-4o, native voice, and Gemini integration, enabling easier development of AI-powered applications. WebLLM Chat enables in-browser model…
…emerged at Princeton in 2023; subsequent work addressed how agents learn new capabilities and how reliably they perform. 2023: SWE-bench and software-engineering evaluation SWE-bench is a dataset that tests whether systems can solve GitHub …
…demonstrates how to use LangGraph Assistants to turn static agents into flexible, runtime-configurable systems. The Rise of MCP: The MCP standard is gaining traction for enabling agents to use tools. @vikhyatk remarked that after…
…at roughly half the use cases visible to the speaker. - Simple agents: a prompt with tools, operating as an enhanced chatbot. - Advanced agents: longer-running work, loops, or behavior beyond that simple prompt-and-tools pattern. Across…
…chips, creating powerful servers capable of real-time voice agents, improved coding, and running trillion parameter models. Further open-source research and the development of Nous-Forge are also in the pipeline. OpenAI Community's Various …
…corrections; Sankar contrasts that accumulated experience with agents repeatedly arriving without the business context needed to act well. In her March 2026 explanation of context engineering, she distinguishes three kinds of context:…
…that can make individuals stand out. Long-Running, Stateful Agents: @hwchase17 expressed being bullish on long-running, stateful agents, asking who is building one. Speed as a Key Factor for Startup Success: @AndrewYNg emphasized speed as a…
…audio models, coding and mathematics specialists, and tools for agents and model interpretability. Open-weight releases coexist with hosted services: for example, Qwen3.5-397B-A17B provides downloadable weights, while its corresponding…
…generate their own rewards, potentially leading to superhuman agents and suggesting a self-sustaining future for AI training. Meta and the AI Space: Conversations about Meta's LLaMa 3 and comparisons to GPT-4 reflected anticipation of AGI…
…determines which retrieval operations are available. Data agents add reasoning to these workflows. At the simplest level, a classifier routes a query to an action or destination; it need not be an LLM. More complex workflows ask a model to …
…Twitter Recap OpenAI’s gpt-realtime and Realtime API GA (voice agents, telephony, tools) gpt‑realtime model + Realtime API GA: OpenAI shipped its most advanced speech-to-speech model and took the Realtime API to GA with substantial…
…servers and databases. Its AI-oriented products let coding agents deploy services, inspect logs and metrics, manage environments and control feature rollouts. In August 2026, it introduced dev.new, bringing app generation, previews, testing…
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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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