Results for “agents”

…Frameworks, and Infrastructure LangChain Introduces Deep Agents and Align Evals: @hwchase17 from LangChain explained the concept of Deep Agents, which combine a planning tool, file system, sub-agents, and a detailed system prompt, and…

…problems without formal verification. - Regulated enterprise agents may justify verification. Adoption would depend on latency, accuracy, and overall performance making it practical. Axiom’s objection to scaling purely informal mathematics …

…precision. Concerns and Challenges Eric Schmidt warns about AI agents communicating in own language: In /r/singularity, Eric Schmidt said that we should unplug computers if AI agents start talking to each other in a language we can't…

…identity and discovery. His work addresses how software agents find one another and establish trust on the internet. He also publishes under the spelling Balázs Nemethi and the handle nembal. Identity and discovery for AI agents Through…

…echoed by @corbtt, who notes that customers using RL to train agents on specific domains are "extremely happy." The broader challenge, as @jxmnop describes it, is the palpable tension among researchers to make post-training as "clean and…

…quality, deciding when to build models, and controlling agents that can change data inside software systems. AI engineering surveys and agent controls Yaron authored Amplify’s 2025 AI Engineering Report, published June 24, 2025, and its…

…which make it much better/faster/cheaper for long running agents: We are so glad that DeepSeek is back publishing SOTA research. Our last highlight is their comments on post-training, where they largely seem to agree with Prof Jie Tang:…

…sandboxes, persistent Agent Drive storage, and connectivity for agents running code, calling tools, and carrying state across tasks. The teams described colocating these components as a way to reduce network latency repeated across agent…

…AI-powered side projects using GPT-4 and GPT-3.5, and interface agents powered by LLMs. In the Stable Diffusion space, users seek realistic SDXL models comparable to PonyXL, praise the Hi-diffusion extension for ComfyUI, and note the…

…planned. The founders also experimented with their personal agents exchanging context to choose dinner. Zollo said the agents considered their preferences and locations and suggested a French restaurant they subsequently visited; Sutin…

…orchestration to multi-agent products with offerings like Deep Agents/Open SWE and LangSmith Fleet. The discourse emphasizes the importance of clear base-model attribution, licensing compliance, and product differentiation through…

…model. The closing experiments extend memory across people. Two agents reportedly used their users’ shared preference for French food and their presence in Pacific Heights to suggest a restaurant neither had visited. The participants say…