AgentDNS: A Root Domain Naming System for LLM Agents
Paper: https://
arxiv.org/pdf/2505.22368
.pdf
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Code: https://
github.com/agentdns (coming soon?)
AGENTS
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AgentDNS: Root Domain Naming System for LLM Agents
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Context Switching Costs in AI-Assisted Workflows
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Not captured by the model is the context switching cost, since "inbox gardening mode -> oh a bill -> task switch to bank website -> what was I doing again?" is a thing which hits me very hard.
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Love the Integration Beyond Agent Platform
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looks sick. I love how it goes outside the agent platform and integrates with everything
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PhD Timeline: From Papers to Autonomous Claude Agents
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timeline of my phd
– year 1: – year 2: write paper on embedding inversion
– year 3: brick conda environment. spend all year fixing
– year 4: spin up 100 separate claude codes with custom prompts for different research problems
– year 5 (soon): check in on my claudes. profit -
Opus Model Enables Developers to Work More Hands-Off
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Both are pretty popular but I've been getting the sentiment that Opus is the first model many devs feel like they can truly go hands off to some degree
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Pocket as Personal AI Memory: Beyond Bookmarking
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Pocket in the AI era could be something special. It's a massive trove of snippets, blog posts, and news articles that were important enough for you to save. Historically, people don't return to bookmarks, but maybe in 2025+ they become part of your personal AI's memory instead.
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Ron Arel Creates Artificial Artificial Intelligence Researcher
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Proud to report that my friend Ron Arel has created an Artificial Artificial Intelligence researcher https://t.co/dQmDnRR3dt
— Joscha Bach (@Plinz) 28 mai 2025Proud to report that my friend Ron Arel has created an Artificial Artificial Intelligence researcher
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New benchmarks for personal assistants and customer support
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I want new benchmarks, for personal assistants, email assistance, customers support
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Complex Agents: Factory Uses LangSmith for Evals and Observability
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As you get more complex agents, evals + observability become increasingly important. What does factory use for that? Langsmith of course: https://t.co/IuI4b0uIVg https://t.co/40eDttAjyb
— LangChain (@LangChain) 28 mai 2025As you get more complex agents, evals + observability become increasingly important. What does factory use for that? Langsmith of course: https://
blog.langchain.dev/customers-fact
ory/
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AlphaEvolve: DeepMind Applies Natural Selection to Self-Improving AI Code
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Une IA qui s’auto-améliore, sélectionne ses meilleures versions, et recommence en boucle.
— VISION IA (@vision_ia) 28 mai 2025
DeepMind ne copie plus les humains. Elle copie Darwin.
Alpha Evolve, c’est la sélection naturelle appliquée au code.
➡️ Extrait de ma dernière vidéo sur Alpha Evolve : https://t.co/KGEjKJY0dF pic.twitter.com/6IrY4998kzUne IA qui s’auto-améliore, sélectionne ses meilleures versions, et recommence en boucle. DeepMind ne copie plus les humains. Elle copie Darwin.
Alpha Evolve, c’est la sélection naturelle appliquée au code. Extrait de ma dernière vidéo sur Alpha Evolve :