AI & robotics news brief ·
Meta revises terms after backlash over scraping
Good morning. Meta changed its new terms of service after backlash over scraping, a reminder that the rules around training data are still shifting. The rest of today’s headlines range from a technical report to politics, security, and practical tools.
Today in AI
Meta tweaks its new terms of service after backlash against scraping
Why it matters: The revisions to Meta's terms of service could significantly impact publishers' control over their content and how their data is used, raising concerns about data privacy and intellectual property rights.
10 Best Free AI Video Clipping Tools in 2026 (Verified Free Plans)
Why it matters: Free AI video clipping tools are increasingly relevant for content creators seeking efficient ways to produce engaging short videos across platforms, particularly as demand for such content rises.
Xiaomi-Lens-0 Technical Report
Why it matters: Xiaomi-Lens-0 enhances visual reasoning capabilities in multimodal large language models, potentially improving applications in areas requiring fine-grained image comprehension, like visual search and robotics.
Mamdani says feds have abdicated on AI, urges New Yorkers to push back
Why it matters: Mamdani's call for public engagement in AI regulation highlights the growing concern over the unchecked influence of technology on society, stressing the need for accountability from AI companies and policymakers.
Accused OpenAI spy had folder called “Saudi Gov Docs,” FBI says
Why it matters: The case highlights concerns about national security and potential foreign espionage within the U.S. tech industry, especially regarding the role of Saudi Arabia in advanced AI development.
Robotics
NEURA Robotics, NXAI Team Up to Give Cognitive Robots Lasting Memory
Why it matters: The partnership between NEURA Robotics and NXAI aims to enhance cognitive robots' capabilities through improved memory, crucial for their effectiveness in various tasks.
Dream Labs Raises $90M Seed to Bring Robot AI Across Different Machines
Why it matters: Dream Labs' funding and technology could make it easier for developers to create versatile robots, potentially transforming robotics applications across various industries.
Agent uses to try
Money & Bills · Meta Muse
Look up forgotten money and prep the claim
Meta’s Muse spotted more than $1,500 in unclaimed property and helped assemble the claim form in a few minutes. The search turned up over $1,500 after about five minutes. No payment had been made when the piece ran, since the claim still needed to be checked and signed off by government staff.
Try this prompt
Search official unclaimed-property databases for [states I’ve lived in] and any national service that applies, using my full name [name] and other versions such as [former names, nicknames, past addresses]. For each possible hit, show the holder, state, and dollar amount. Then help me complete the claim packet by pre-filling what you can, but stop before any submission, payment, message, or sensitive field and show me the draft for approval first.
Science, Security & Hardware · Claude Code
Create a 5-DOF arm with FreeCAD and Claude Code
They used Claude Code to generate, print, and assemble a servo-powered arm, then added voice and camera control. The full process took about 30 hours and ended with four servos operating. The gripper was never completed, motion sensing did not close the loop, and the pixel-to-world mapping was only approximate. There were also print issues along the way: two servos were taped in place, a lid was glued down, the base turntable had to be printed again, and one print-in-place hinge failed.
Try this prompt
I want to build a [N]-DOF robotic arm in FreeCAD with [AI tool]. Generate the printable parts, a servo control script, and an assembly plan for someone with no CAD background. Walk me through printing, wiring, and testing, and stop to ask for confirmation before any action that would be hard to undo, such as placing an order, deleting files, or sending code to the controller.
Coding & DevOps · ChatGPT
Build a PR dashboard across multiple repos
They used ChatGPT for planning and an agent in WebStorm to assemble a dashboard that tracked pull requests across four Azure DevOps repos. In about 3 hours, the dashboard had three views and was well received by the team. Another hour added their requested tweaks, and the team started using it every day. Most steps worked right away, though Junie sometimes repeated itself or became inconsistent.
Try this prompt
You are helping me build a local dashboard for pull requests. First, propose a simple architecture for a tool that reads open PRs from my [Azure DevOps/GitHub] repos: [repo 1], [repo 2], [repo 3], and [repo 4]. Then, build it in small steps: app shell, mock data, API integration, status flags for approvals/conflicts/comments, and any optional integration with [YouTrack/other tool]. After each step, stop and show me the result so I can approve before you continue. Do not send anything, merge anything, delete anything, or change any existing PRs. Keep access tokens and secrets on my machine only. Focus on readable code, shared helpers, and centralized config.