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…an evaluated subsystem, not just a hidden dependency inside agents: @ArtificialAnlys debuted a Search Index and put Perplexity Search on top, with all three context variants taking leading positions. The most interesting details are…
…code and making execution and debugging tools accessible to agents. Infrastructure that agents can operate By July 2026, Bubna said Modal had changed its SDK team’s focus to “agent experience.” He argued that agents benefit from the same…
…And in the meantime, Huggingface's smol agents library continues to trend, so you can check out this brief discussion. https://www.youtube.com/watch?v=QytYcjTkkQU {% if medium == 'web' %} Table of Contents [TOC] {% else %} The Table of…
…a superpower. That experience helped motivate the team to bring agents to people who already used ChatGPT: Codex’s usefulness beyond software development had become apparent earlier than they expected. His earlier work on ChatGPT Enterprise…
…with some other strong models but well short of Claude 4. AI Agents and Autonomous Systems Darwin Gödel Machine: @SakanaAILabs introduced the Darwin Gödel Machine (DGM), a self-improving agent that can modify its own code, inspired by…
…Mindpilot MCP, which renders diagrams generated through coding agents, alongside the executable-specification project okcmd and the terminal coding agent Cogent. Visualizing AI-generated code Mindpilot MCP accepts Mermaid syntax and renders…
The Agent Network — Dharmesh Shah Dharmesh Shah on Intelligent Agents, Market Inefficiencies, and Building the Next AI Marketplace Latent.Space
…environments and optimization systems for reliable agents. His stated ambition for open reasoning models includes access to their training data. On his personal homepage, he points to DeepSeek-R1's unreleased reasoning data and describes…
…effects on hallucinations and causal world models for robust agents. "Hugging Face is profitable, or close to profitable" and committed $10 million in free shared GPUs to developers.
…the answer. A swarm extends the same question: how do many agents share discoveries without spending more than the problem warrants? Zhang’s account of an OpenAI effort is that agents used shared context to search a difficult problem. He is…
…Gelato-30B-A3B model for computer grounding in GUI manipulation agents outperforms larger VLMs, targeting immediate agent gains. Qwen's image-edit LoRAs and light-restoration app were also highlighted.
…Fair, Embiricos and Romain Huet argued that using multiple agents through loops could improve productivity. Embiricos emphasized connecting agents to the reason for a task and to the steps that follow coding. As Latent Space reported, he…
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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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