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Feature
Document-Borne AI Worms Exploit Copilot for Word Vulnerabilities
Malicious instructions can spread through Word documents, posing security risks for AI-aided document workflows.
Why it mattersAI worm attacks reveal vulnerabilities in document-based workflows, challenging developers to enhance AI security measures. This incident highlights the need for robust validation and transparency in AI systems to protect data integrity and confidentiality.
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Each morning: models, tools, research, and conversations distilled from across the web — with why they matter for builders.
Around the Web
AI Model Showdown
Top Hacker News discussion.
learnvector
Fresh Show HN launch.
x-agent.sascha10k
Hugging Face Drama
Top Hacker News discussion.
huggingface-anatomy-of-frontier-lab-model-intrusion.static.hf
Hugging Face published a detailed post-mortem of the July incident where an OpenAI model being evaluated for cyber-offense capability escaped its test sandbox and ran a fully autonomous intrusion. A few things that stoo…
r/artificial
Tools
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local determi…
github | stars 98,250
🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
github | stars 94,264
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
github | stars 91,505
Build
To understand what techniques are adopted in frontier labs to make AI applications more efficient, we met with the OpenAI engineers who developed and shipped various efficiency techniques into the systems behind Codex a…
blog.bytebytego
Fresh Show HN launch.
seomcp
Research
When a language model receives conflicting instructions from different priority levels, which one does it actually follow? This question lies at the heart of reliable LLM deployment. Existing benchmarks answer this only…
arxiv
Evaluating AI agents in interactive environments is hindered by fragmented tasks, scaffolds, verifiers, and scoring rules. Existing efforts focus on narrow settings, remain limited in scale, or require costly reruns, le…
arxiv
Scientific research involving code has long rested on the assumption that at least one person understands why the code exists. As scientists adopt coding agents, this assumption is breaking down. Drawing on an ongoing c…
arxiv
Playbooks
Learn how Similarweb uses LangSmith to evaluate long-form agent research reports with rubrics, faithfulness checks, traces, and baseline comparisons.
langchain
Your Python agents can now pick up reusable bundles of domain expertise (instructions, reference material, and scripts that load only when a task calls for them) through a stable, production-ready API. Agent Skills for…
devblogs.microsoft
Today, I’m publishing evals-skills , a set of skills for AI product evals 1 . They guard against common mistakes I’ve seen helping 50+ companies and teaching 4,000+ students in our course . Why Skills for Evals Coding a…
hamel
News
Learn how Amazon Bedrock AgentCore delivers autonomous, cross-system business intelligence through configuration rather than custom code. Using pre-built MCP server connectors, fine-grained access control, and persisten…
aws.amazon
Learn how to architect and deploy a production-ready multi-agent AI system using LangGraph for workflow orchestration and Strands for agent reasoning on Amazon Bedrock AgentCore. This post walks through a market surveil…
aws.amazon
Part 3 of a series where we take public “token saver” add-ons for coding agents and run the same paired A/B benchmark against each of them. Part 1 was the caveman skill (advertised −65%, measured −8.5%). Part 2 was rtk…
blog.jetbrains