Results for “agents”

…87% of the time (summary, paper). LangChain released “Deep Agents” debugging workflows, including trace‑aware assistants (Polly) and a CLI to equip coding agents with debugging capabilities; MCP adapters now support structured content from …

…and Varun Mohan coauthored Google’s announcement of managed agents in the Gemini API and AI Studio. The agents combined reasoning, tool use and code execution in isolated Linux environments; follow-up calls could resume files and state. The…

…recurring theme: “great model, unclear serve-cost story.” Open agents, “harness engineering,” and the OpenClaw → OpenAI sagaOpenClaw as a proof-point for one-person leverage: The OpenClaw story is framed as emblematic of “one-person team + …

…As Vercel’s CTO in 2025–26, he advocated narrowly scoped agents, ordinary code for deterministic tasks, and security boundaries that keep generated programs away from credentials. He also coauthored accounts of v0’s evaluation practices and…

…related to researching baby formula coupons. Advanced cognitive agents and their potential: @darthgustav and @chotes discuss the advanced cognitive agents in chatbot development, applauding the versatility and potential they exhibit in…

…sometimes work around the need for a larger window. His view of agents likewise centered on outcomes: adding nodes to a workflow should improve its probability of success, rather than merely adding language-model calls. He identified…

…a plug-and-play reinforcement learning framework for tool-using agents, showing smaller models outperforming larger ones. TRL v0.23 added context parallelism for long-context training. Thinking Machines Lab published research on…

…specialized model training. Building a common layer for agents Zaharia helped bring coding agents and custom enterprise agents into a shared infrastructure project, Omnigent. In his June 2026 Latent Space interview, he explained how two…

…to be more verbose (example). Formal math demo: Ten Sonnet 5.5 agents produced a 17,895-line Lean proof in 15 hours, accepted by the Lean kernel (@ValsAI). It proves the Thomson problem for N=7: the lowest-energy arrangement of seven…

…language-model jailbreaks and indirect prompt injection against agents. At Gray Swan, he works with cofounder Zico Kolter on testing AI vulnerabilities and enforcing policies on model and agent behavior. From chatbot safeguards to agent…

…mentioned the promise and doubts around adding more AI agents, with a side-eye towards optimistic forecasts from figures like Andrew Ng. Dubious Repositories Raise Eyebrows: GitHub projects by Kye Gomez came under the microscope, prompting …

…He said multi-scale modeling, laboratory automation and agents had become additions to the design, with agents searching chemical literature and orchestrating computations and experiments at varying stages of maturity. Welling emphasized…