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…fit together in a conversation about the next era of coding agents.
…the initial focus will be on Vision Language Models (VLMs). LLM Agents (Berkeley MOOC) Discord Today's Lecture on AI Frameworks and Multimodal Assistants: The 3rd lecture of the Berkeley MOOC, featuring this livestream, will cover Agentic…
…tradeoffs, and the discovery infrastructure a network of agents would need.
…helps during cloud outages. IBM and Groq are pairing watsonx agents with Groq LPU inference (claimed 5× faster at 20% of cost) and enabling vLLM-on-Groq, indicating the agent stack is rapidly diversifying beyond a single cloud. See @cline, …
…Memory Part 2 follows the practical problems of delegating to agents: generating interfaces, testing candidates, choosing models, pricing work, and sharing context—with a closing turn to domain markets and long-term conviction.
…2. AI Level 3 by 2025: OpenAI's Vision and Concerns AI level 3 (agents) in 2025, as new Sam Altman's post... (Score: 336, Comments: 162): By 2025, the development of AI Level 3 agents is expected to significantly impact business…
…Taylor about building at technology’s limits, defining what agents should deliver, and making their decisions inspectable and correctable.
…guidance proliferating across the ecosystem. Scaling RL for LLM agents: DreamGym and agent instrumentation DreamGym: synthetic environments via “experience models”: DreamGym replaces slow, brittle real-world rollouts with reasoning-grounded…
…2023 conversation about applying models, delegating work to agents, and making useful AI software economically sustainable.
…debate over compute, data, model competition and reliable agents, ending with how faster inference could change the applications worth building.
…conversion rates. This demonstrates the practical impact of AI agents in streamlining marketing processes and improving efficiency in specialized industries. Music Chord Detection AI Remains Elusive, Sparks Community Search: Participants…
…products, and application tooling—then turns to coding agents and personal-context hardware.
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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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