On file deletions. We’ve investigated a handful of reports where GPT-5.6 unexpectedly deleted files.
What we have found is that this most commonly occurs when:
- Full access mode is enabled and codex is run without sandboxing protections, including without auto review being enabled
- The model attempts to override the $HOME env var to define a temporary directory.
- The model makes an honest mistake and mistakenly deletes $HOME instead.
This is of course not how we want the system to behave, even when a user operates the model in full-access mode without the safeguards of our sandbox or without using auto review which checks for these kinds of high risk actions and rejects them.
We are taking steps to mitigate this risk including by updating the developer message, guiding more users towards safer permission modes, and adding additional harness safeguards. Even though this happens extremely rarely, we’ll share a detailed post-mortem in the coming days that goes into more details and what we are doing to minimize risks further.
Gemini Spark is now rolling out to Google AI Ultra subscribers in more countries and languages.
Spark is your personal AI agent that works in the background 24/7 to get things done under your direction.
Update: Personal Intelligence in Search now connects to Google Calendar!
1/ You’ll be able to add invites or other meetings to your Calendar directly from AI Mode
2/ And you’ll get even more tailored AI Mode responses that work with your existing plans
Available now in the U.S. with more countries to come soon.
We've open-sourced Grok Build and have reset usage limits for all users.
Open sourcing Grok Build allows anyone to support making a reliable and robust harness. Check out our code, including the Git repo for the Grok Build CLI.
https://t.co/3SSvPu2Nrz
Incredibly proud of the team. After countless late nights, Inkling is out, and I especially want to highlight the post-training stack and RL recipes behind it.
A few of my favorite details:
We scaled our largest RL run to 30M+ rollouts and thousands of continuous training steps—with no collapse, no restarts, and stable KL and entropy throughout. Reasoning performance improved log-linearly from the SFT initialization all the way to the released checkpoint. A number of innovations under the hood made this possible, and the result is a strong testament to our post-training technology.
We trained controllable thinking effort directly through RL. By varying the system message and per-token cost, the model learned to trade off tokens and performance on demand.
We also saw an emergent shift in reasoning style: as RL progressed, the chain of thought became increasingly compressed, shedding grammatical overhead. Inkling reasons like a caveman mathematician—a distinctive style unlike that of other open-source models.
We’re also previewing Inkling-small today and plan to release it very soon. It is exceptionally capable for its size, and we expect the community will find it broadly useful.
Building a simple, stable, and scalable RL stack in such a short time was something few thought possible. This team proved otherwise.
Today, we are introducing Inkling.
Inkling reasons efficiently across text, image, and audio modalities. We are making the full weights available.
https://t.co/Ghebq5mG30
Available today for fine-tuning on Tinker. Play with it in the Inkling Playground. 🧵
Claude Code artifacts can now call MCP connectors, letting you build dashboards and apps that can fetch information and take actions for each viewer on demand.
Available on Pro, Max, Team, and Enterprise plans. Not available on publicly-shared artifacts.
Once we have completed our review for security vulnerabilities, we will make the entire codebase of 𝕏 open source, with no exceptions.
Moreover, we will invite third party reviewers to examine the system that is running to confirm that the open source code is what is running.
Trust through total transparency is the only thing that should be believed.
Last minute leaked image of the new Tamron 12-20mm f/2.8 FE lens. The lens will be announced within a few hours...probably while I am sleeping :) Tamron preorders:
BH: https://t.co/oeBkAaxeeq
Amazon: https://t.co/XOm7ancfuW
Pro tip: when prompting Codex with really difficult /goals, ask it to "write a goal for another thread to achieve this and babysit it until it figures it out"
By doing so, you'll add built-in steering and another layer of taste verification (that's how this video was made)