Results for “agents”

…your monthly reminder that you shouldn’t be prompting coding agents anymore. You should be designing loops that prompt your agents.” Boris: “I don’t prompt Claude anymore. I write loops, the loops do the work.” Andrej on Autoresearch: To…

…Dev Day. The participants try different assistants and coding agents, disagree about trust, and compare the small conveniences and awkward handoffs that determine whether a system fits into a day. One participant described leaving a laptop …

…others, offering $35k+ in prizes for developing autonomous AI agents that enhance user capabilities. R1-V Project Revolution: The R1-V project showcases a model that beats a 72B counterpart with just 100 training steps at under $3,…

…observation, action and reward sequences produced by trained agents, allowing one model to perform their constituent tasks. - Learn the history of improvement. A second DeepMind approach recorded an agent’s full learning trajectory, from…

…LangChain emphasizes persistent memory patterns for production agents.

…its measured interactions as a lab-in-the-loop environment for agents: a model can select molecules, receive results already measured in the lab, and revise its next choices. The company’s approach connects experiment and evaluation: useful…

…models once OSS models were routed to their internal coding agents. “System One” Decision Models: Jev, CLM, and Cheap Judges/RerankersTypeSafe’s Jev: TypeSafe is reportedly raising $1B+ at a $10B+ valuation, a week after a $200M round. Jev …

…from failures specific to an application: customer-service agents revealing database information, assistants making unauthorized promises, or tutors departing from their intended role. He emphasized context poisoning, tool misuse, and…

…customizable features in managing interactions with multiple AI agents. Gemini's Search Functionality Discussion: There’s interest in enabling direct search capabilities within Gemini models similar to Perplexity, though current usage…

…describes research spanning language and diffusion models, agents and reasoning, with an openness to promising outside ideas. An interviewer then challenges the synthetic-data story: if GPT-4 generates textbooks for another model to learn…

…and coding: Claude Code evolves, infra matures, and “deep agents” patterns Claude Code updates: Microcompact (auto-clears old tool calls to extend sessions), subagents with @‑mention and per-agent model selection, and native PDF ingestion…

Ida Momennejad studies how agents represent their environments and plan actions. Her AI work includes CogEval, which tests language models’ planning abilities, and the Modular Agentic Planner (MAP), which organizes LLMs into specialized…