NIST CSF 2.0 and the EU AI Act both assume an organization can answer for what its systems do. Once those systems decide and act without human approval at every step, "answering for" needs different scaffolding. This is a useful first attempt at one.
AGENTS
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Codex App Now Displays Task Progress Directly in Chat UI
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I love that Codex App now shows the Progress of your task in an easily parseable UI right in the chat!
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AI Agents Now Write Nearly All Code in Modern Codebases
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Anthropic’s Boris Cherny argues that for certain modern, model-friendly codebases, especially TypeScript/React projects, coding is already effectively "solved".
— Chubby♨️ (@kimmonismus) 5 mai 2026
AI agents can write nearly 100% of the code, while humans shift from hand-coding to directing, reviewing, integrating,… pic.twitter.com/5f0yWrELdWAnthropic’s Boris Cherny argues that for certain modern, model-friendly codebases, especially TypeScript/React projects, coding is already effectively "solved". AI agents can write nearly 100% of the code, while humans shift from hand-coding to directing, reviewing, integrating,
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Naive RAG vs Agentic RAG Visual Comparison Explained
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Naive RAG vs. Agentic RAG, explained visually:
— Akshay 🚀 (@akshay_pachaar) 5 mai 2026
Naive RAG breaks in 3 ways:
↳ It retrieves once and generates once. If the context isn't relevant, the system can't search again.
↳ It treats every query the same. A simple lookup and a multi-hop reasoning task go through the… pic.twitter.com/yJiaYNUPukNaive RAG vs. Agentic RAG, explained visually: Naive RAG breaks in 3 ways: ↳ It retrieves once and generates once. If the context isn't relevant, the system can't search again. ↳ It treats every query the same. A simple lookup and a multi-hop reasoning task go through the
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HuggingFace Datasets Enable AI Agents to Analyze Complex Data
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By sharing datasets on @huggingface
, you help agents being able to analyze them, giving everyone the ability to make sense of complex data. For example, this is some of the insights I uncovered from @jamiequint
's fascinating data: https://
huggingface.co/datasets/jamie
quint/sf_criminal_court
… What other -
Anthropic Orbit Leaked: Proactive AI Assistant for Claude Cowork
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Anthropic Orbit leaked
— Chubby♨️ (@kimmonismus) 5 mai 2026
Orbit, a proactive assistant for Claude Cowork that auto-generates briefings and insights from Gmail, Slack, GitHub, Calendar, Drive, and Figma, no prompting required. Users can also deploy and pin "Orbit apps" for quick access.
It's Anthropic's answer to… https://t.co/k1uwyYsRVPAnthropic Orbit leaked Orbit, a proactive assistant for Claude Cowork that auto-generates briefings and insights from Gmail, Slack, GitHub, Calendar, Drive, and Figma, no prompting required. Users can also deploy and pin "Orbit apps" for quick access. It's Anthropic's answer to
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Real Conversational AI Needs More Than FAQ Uploads
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The biggest mistake I see: Companies add AI, upload FAQs, and call it transformation. That is not transformation.
That is a slightly smarter auto-reply. Real conversational AI needs 3 things: → context from the customer history
→ access to business systems
→ the ability to -
Webinar: Bridging the Gap Between Demo Agents and Production Systems
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Join @YuvalinTheDeep
, Senior Developer Advocate at @AI21Labs
, for a live webinar in partnership with @DataCamp
: The Four Gaps Between Demo Agents and Production Systems. If you're shipping agents to prod, this is where prototypes break and real systems begin. May 6 · 11am ET -
Hermes AI Agent: Persistent Memory, Voice, and 100+ Skills
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think Hermes is just another agent?
— Charly Wargnier (@DataChaz) 5 mai 2026
think again.
this thing is a BEAST 💥
what actually runs under the hood:
>Persistent memory
>Cron/webhooks
>Filesystem rollback
>17 platforms (4 with realtime voice!)
>100+ skills as slash commands@shmidtqq shows you where to start 👇 https://t.co/wcFoHE69Vo pic.twitter.com/KsCJPQ5Diathink Hermes is just another agent? think again. this thing is a BEAST what actually runs under the hood:
>Persistent memory
>Cron/webhooks
>Filesystem rollback
>17 platforms (4 with realtime voice!)
>100+ skills as slash commands @shmidtqq shows you where to start -
Claude Code Cuts Token Usage 3x with Context Engineering Layer
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Claude Code used 3x fewer tokens with one change:
— Akshay 🚀 (@akshay_pachaar) 5 mai 2026
– Before: 10.4M tokens · 10 errors · $9.21
– After: 3.7M tokens · 0 errors · $2.81
I used Insforge Skills + CLI as the backend context engineering layer for Claude Code (open-source and local).
Repo: https://t.co/01v2PYDPpY… https://t.co/HD5Oswup5l pic.twitter.com/T1w1obWBaeClaude Code used 3x fewer tokens with one change: – Before: 10.4M tokens · 10 errors · $9.21
– After: 3.7M tokens · 0 errors · $2.81 I used Insforge Skills + CLI as the backend context engineering layer for Claude Code (open-source and local). Repo: https://
github.com/InsForge/InsFo
rge
…