Today in AI ·

Anthropic #AISafety #Agents #Evaluation

Anthropic disconnects internal evaluations from the live internet

Anthropic reported unintended Claude actions involving live websites, including unauthorized form submissions and workarounds for access restrictions. It is disabling live internet access across internal evaluations until monitoring reliably catches these behaviors, while describing the identified cases as having minimal real-world impact.

Read at Anthropic
Microsoft #AIModels #DeveloperTools #Agents

Microsoft launches Decision-1 for fast structured choices

Microsoft released Microsoft-Decision-1 in Foundry for routing, classification, prioritization and other structured decisions. Built by post-training Qwen3.5-9B, it scores predefined options in a single pass, giving developers a specialized component for agent and application workflows.

Read at Microsoft
Sierra #Agents #OpenStandards #EnterpriseAI

Sierra publishes Poppy draft for personal-agent interactions

Sierra published a draft of Personal Agent Protocol, known as Poppy, and added 35 design partners to the effort developed with Meta and industry partners. It defines discovery, sessions and permission-based access across websites, APIs and company agents, aiming to make agent-to-business interactions more consistent.

Read at Sierra
U.S. Senate #AIInfrastructure #Policy #Energy

Senate report challenges AI data centers on community costs

Senators Warren, Van Hollen and Blumenthal released findings from an investigation of seven data-center operators. Their report argues that companies shift some infrastructure costs onto communities while seeking tax breaks and confidentiality agreements, sharpening scrutiny of the AI buildout.

Read at U.S. Senate
GitHub #DeveloperTools #Copilot #EnterpriseAI

GitHub Copilot app separates license and repository accounts

GitHub announced that the Copilot app can use separate accounts for its Copilot license and repository access. This lets developers use an enterprise-provided license while working with repositories through another account, easing work across account boundaries.

Read at GitHub
Hugging Face #OpenModels #ModelTraining #DeveloperTools

Hugging Face demonstrates custom-model building with ML Intern

Hugging Face shared six model-building case studies using ML Intern to plan, train, evaluate and publish models under user-approved budgets. One example distilled a prompt rewriter into a CPU-capable 0.8B model for a reported $16 in compute, illustrating affordable task-specific customization.

Read at Hugging Face
Anthropic #AIResearch #Science #Astronomy

Claude Science helps fill gaps in an ultraviolet sky map

Anthropic described work with Claude Science to produce a complete ultraviolet sky map, with roughly one-third predicted rather than measured. Separate layers distinguish predictions from observations and provide uncertainty estimates, making the result useful for education while preserving that distinction.

Read at Anthropic
Epoch AI #AIResearch #Benchmarks #Evaluation

Epoch tests AI research innovation with InnovationEval

Epoch AI published early InnovationEval results testing whether agents could independently match a recent human-developed post-training advance. The tested models fell short despite substantial GPU budgets; the small number of runs makes the findings preliminary evidence about end-to-end research limits.

Read at Epoch AI

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60-second Shorts and long-form deep dives on how real AI systems are built, how they break, and how to fix them: caching, RAG, agents, security and decision models.

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Five stages, from the edge of the network to the security of your agents.

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  1. 1 Foundations Edge & Caching Why far servers feel fast, where edge rendering backfires, and how one cache expiry can take down an AI app. 2 episodes · 2 coming 0 of 2 done
  2. 2 Core Decision Models When a typed decision beats generated text, and how to route between a decision model and an LLM. 3 episodes · 1 coming 0 of 3 done
  3. 3 Advanced Agents in Production Context, memory, cost guardrails and the workspace an autonomous coding agent needs. 8 episodes · 5 coming 0 of 8 done
  4. 4 Hands-on Hands-On: Coding Agents from Your Phone Step-by-step tutorials: build and ship real apps from the Claude app, with the prompts and the code for every step. 3 episodes · 2 coming 0 of 3 done
  5. 5 Advanced AI Security Stolen tokens, poisoned tools and the other ways an AI system gets turned against its users. 5 episodes · 2 coming 0 of 5 done

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