Results for “agents”

…Jared Palmer Reveals Agent HQ & The Future of Coding Agents Latent.Space

From scaling models to building reliable agents David Luan’s account of OpenAI, Google and Adept connects research organization to a practical challenge: making models operate software reliably and learn from the people they help.

From Video Models to Video Agents Building video models, preserving history, and combining generation with reasoning and editing tools: a reading edition of the Latent Space conversation with Ethan He.

…2024, Part 2 of 5: Compute, Context, and Benchmarks for Working Agents Part 2 moves from the experiments academia can afford to run into SWE-Bench, contamination detection, and GAIA’s tests of everyday assistance.

The Anatomy of Autonomy: Why Agents are the next AI Killer App after ChatGPT Auto-GPT/BabyAGI Executive Summary, a Brief History of Autonomous Agentic AI, and Predictions for Autonomous Future

ICLR 2024, Part 4 of 5: Verifiers, Safety Systems, and Agents Part 4 follows stepwise reasoning feedback into deployment safety, browser automation, and multi-agent software development, then closes with the reversal curse: why learning a…

Language Agents: From Reasoning to Reliable Action Reasoning helps an agent choose its next move. Reliable action also depends on usable tools, meaningful feedback, memory, and control over the workflow.

Lindy at Work: Putting Agents on Rails Lindy’s redesign makes required actions explicit while leaving models room to interpret information—a division of labor that shapes its workflows, memory, evaluations, and product strategy.

Autoresearch: The feedback loop behind self-improving agents Introspection co-founder Roland Gavrilescu explains autoresearch, agent “recipes,” self-improving loops, and why humans remain central to the software factory.

Notion’s Custom Agents: Rebuilding the System Around the Model Background work requires understandable permissions, dependable tools, useful evaluations, and context that extends beyond a chat.

One Year of MCP: From Local Tools to Asynchronous Agents MCP’s first year exposed the hard parts of shared agent infrastructure: enterprise identity, bidirectional transport, trusted discovery, long-running work, and neutral governance.

Serverless Browsers and the Infrastructure Behind Computer-Using Agents Browserbase combines hosted browsers, natural-language automation and human takeover to handle the state, access and reliability problems beneath an agent’s clicks.