Analysis
Meta’s Forum engineering lesson: make AI changes verifiable
Examine AI coding practices through Meta’s Forum case study: verification, permissions, review costs and the separate privacy questions before adoption.
Topic
AI Agents
AI systems that plan work, use tools or take delegated actions across software or devices. Follow how an agent operates, integrates with its environment and receives permission to act. Generic model releases, drafting assistance and incidental agent examples do not qualify.
14 stories
Latest AI Agents
All AI Agents coverage
30 stories per page
First Look
Wikimedia’s OpenAI agent report separates edits, probes, and traffic
The Foundation reports no evidence of compromised systems or data. Its findings still leave maintainers with distinct jobs: protect information, block misuse, and budget traffic.
Analysis
Apple’s Full Disk Access plan: one task can open much more data
A filing-cabinet key is broader than permission to read one folder. Use that distinction to understand the announced controls and review the apps already listed on a Mac.
First Look
Meta’s Muse gadgets: a screen, a home link, or access to a Linux account
Start with the job, then choose the board and permissions. A display, home-service bridge, and command executor create different boundaries around the same assistant.
First Look
OpenAI dots: keeping a changing brief and its drafts in step
Start with one source to watch and one draft to inspect. Explore six proposed workflows, the difference between background research and actions, and current mobile or desktop setup.
First Look
OpenAI’s 53 image posts show where an agent’s permissions can fail
“Unlisted” describes how a link is found. It does not establish who can open the file. Follow the data, tools and audit records behind the September disclosure.
Analysis
Opinion: Google’s AI calls can win trust at the takeover button
A smooth voice starts the conversation. Clear disclosure, a usable record and a way to take over decide whether someone will delegate the next call. Here is what would change the forecast.
Analysis
Who stops an AI agent’s bad plan? Nvidia puts controls outside it
Start with a proposed file upload, then follow who can refuse it. The runtime’s permissions and the hardware watchdog address different points in an agent’s work.
First Look
The robot can’t see the drawer. HomeBody gives it somewhere to look
Follow an out-of-sight object from memory to a drawer-opening skill. Then separate the released simulation and reconstruction tools from the real-robot code still planned.
Analysis
Muse’s human callers put a missing privacy choice in plain view
Who receives the request, what can they see, and can you decline? Muse’s internal test gives those everyday privacy questions a concrete setting.
Analysis
Apple Intelligence: follow the dinner plan beyond the keynote
This September 8 analysis follows a proposed assistant task through app actions, compatibility and regional access, keeping the pre-event expectations clearly dated.
Analysis
GPT-6 Astra: fewer reported rule breaks, harder-to-see reasoning
The September launch separates paid-model rollout from advanced cyber access. Its alignment results and monitor-evasion tests answer different questions about the same system.