Meta will enforce a two-hour daily limit on Instagram and Facebook for children as part of a record $17.1B settlement with 29 states over social media addiction claims: • The “Productive Pauses” for children include mandatory pauses after 15 minutes of continuous use and again at 60 and 90 minutes to interrupt endless scrolling • “Nighttime blocks” restricting children’s access from 12:00 a.m. to 6:00 a.m. • Limited school-time access for children, eliminating push notifications on weekdays from 8:00 a.m. to 3:00 p.m. during the school year • Robust age assurance measures to more effectively verify the age of young users • Safer, age-appropriate content controls, including stronger safeguards against bullying, content promoting eating disorders, and content related to suicide and self-harm • Stronger, more user-friendly parental controls • Limits on social comparison features, including beauty filters and visible “like” counts, that have been linked to poor mental health outcomes in kids and teens • Both the implementation and effectiveness of the features will be regularly assessed by an independent auditor and the settling states

We're making Grok Bot more widely available. All SuperGrok Plus, Cursor Pro+, and Cursor Teams subscribers now have access. We're also offering a free trial with limited usage for all other users.

Hi! Recapping some changes we have rolled out over the last couple of weeks that have further reduced the risk associated to potentially destructive actions being performed by Codex during its work. A few weeks ago, we started investigating a small number of reports where GPT-5.6 in Codex took destructive actions outside what the user asked for. The most serious pattern we found was a command meant to clean up temporary work that could instead delete the user files. This should obviously not happen. Here’s what we found: - Codex sometimes creates temporary folders while working and cleans them up afterward. In rare cases, GPT-5.6 got that cleanup wrong. One pattern involved reusing a system environment variable like $HOME for temporary work. A malformed cleanup command could then point at the actual home directory instead of the temporary folder. - There were cases where the model tried to delete or overwrite a temporary path without checking what was already there. We’ve added protections at several layers: - Codex is now explicitly instructed to check deletion targets before acting, create fresh temporary directories, avoid repurposing system environment variables, prefer recoverable actions, and stop when the scope is unclear. - We strengthened the execution checks that identify high-risk deletion commands and escalate them for review. If a command is rejected, the model is directed to take a safer approach. - We made Full access harder to enable accidentally, added clearer warnings, and further restricted especially risky permission combinations. - We updated Auto-review to better identify destructive actions. - We built targeted evaluations that replay the failures we observed. We’re also adding reinforcement-learning tasks and graders focused on these risks, and filtering destructive actions from training data. In those replay evaluations, the changes substantially reduced the behavior while preserving Codex’s ability to complete normal coding work. Two things to do on your end: - Keep the Codex app up to date. We are always improving safety, performance and many other things. - Use one of the sandbox modes: "Ask for approval" or "Approve for me". Only use Full access for environments you trust and can recover. Thanks and happy Codexing out there!

The way transit is treating NYC students is a scandal. Passes look like this after just a few days. This makes students more likely to skip fares, which is deeply ironic given the admin’s emphasis on free busses.

Cursor is now part of @SpaceX. Today, we have officially closed our acquisition. We will join the @SpaceXAI team to help make Grok the world's most useful AI and improve Grok Build, Grok Bot, Grok API, Cursor, and more. SpaceX has built some of the most inspiring and impressive technology in the world, and we’re grateful for the opportunity to become part of such a special company. Onwards.

Harnesses are training data generators for the next generation of models. The harness gets thinner after each release, then it gets thicker again. And the cycle repeats as tasks get more and more ambitious.