Results for “agents”

…innovation. We explore Jules’ approach to autonomous coding agents and why they run on their own infrastructure, how Google simplified their agent scaffolding as models improved, and why embeddings-based RAG is giving way to attention-based…

…expanded into infrastructure for production applications and agents. 2023–2026: marketplace origins and enterprise expansion OpenRouter dates its start to early 2023. Its June 2025 founding account names Alex Atallah and Louis Vichy;…

…thousands of models that run locally and privately. AI Agents and Assistants AI Assistant with Vision and Hearing: @svpino built an AI assistant in Python that sees and listens, with step-by-step video instructions. ChatLLM from Pineapple: …

…somebody else. The proposed next problem is automated abuse: agents could search for ways to obtain or resell inference at a scale that is harder to police manually. This is a forecast raised in the conversation, not a measurement of…

…@cloneofsimo states that RL has trouble with trivial tasks. AI Agents and Tool Use Agent-to-Agent (A2A) Collaboration: TheTuringPost highlights five opportunities enabled by Google's Agent-to-Agent (A2A) protocol, including a marketplace…

…Wojtek Czarnecki and other collaborators. StarCraft II required agents to scout for hidden information and balance immediate actions with long-term planning. The team first trained AlphaStar by imitation from human replays, then seeded a…

…tools such as Slack, Jira, and GDrive. Also, creating multiple agents for merging different document sources was considered, referencing the possibility of using traditional indexing techniques instead of high-cost LLMs for dynamic…

…design through Impeccable, a toolkit that gives AI coding agents design guidance and users commands for directing their work. He presented the tool at the AI Engineer World’s Fair. In a July 2 interview with Latent Space, he argued that…

…Recap MiniMax M2 open-weights release: sparse MoE for coding/agents, strong evals, and architecture clarifications MiniMax M2 (open weights, MIT): MiniMax released M2, a sparse MoE model reported as ≈200–230B total with 10B active…

…development of Voxtral TTS, where he describes real-time voice agents as a primary reason for choosing autoregressive speech generation. His account emphasizes practical architectural choices: generating speech incrementally, comparing…

…which I think Google Maps and Gmail represent, or now AI agents, you're in this constant conversation with what the requirements of your customers and stakeholders are and all the different people interacting with it and the capabilities of…

…by themselves to produce a working physical deployment. Coding agents also changed his account of engineering practice. Ludwig described exposing Sensor Studio’s underlying APIs so agents could configure an autonomous machine’s sensor suite…