Let me take this opportunity to pay tribute to the RLSlow team :) It was a priviledge to lead it through the years, first with @ilyasut then with @merettm and finally on my own - the best team you can ever wish for. It feels like ages ago when we started working on the foundations of reasoning (later berry) with @TrapitBansal, Francis Song, @_smileyball and @sidorszymon. Many more things happened since then, huge thank you to all teammates through the years: Peter Zhokhov, @unsafePerformIO @vladi_petroff @masonmeyer_ @afrozenator @lukasz_kondr @dmdohan @wang12tao @TheRealRPuri @edwardjhu @eqhylxx @suchirbalaji and Dan Selsam for all the help. I hope this great technical work continues to be truly and broadly beneficial.

Here is how to enable a 1M-token context window in Codex for GPT-5.6 Sol. Even though we have tuned the context limit in Codex to be set optimally when it comes to performance and cost, this is a common ask, so here it is documented. A larger context window lets Codex retain more code, tool output, and conversation history before summarizing older material. You need a model that supports it. And GPT-5.6 Sol, for example, has a documented 1,050,000-token window. Open ~/.codex/config.toml and add or update these settings at the top level, before any [section] headers: ``` model = "gpt-5.6-sol" model_context_window = 1000000 model_auto_compact_token_limit = 900000 ``` The first setting selects the model. The second tells Codex to use a one-million-token context budget. The third starts automatic history compaction around 900,000 tokens, leaving some headroom. Restart Codex client and start a new session after saving. To try the configuration for a single CLI session without changing your defaults: ``` codex -m gpt-5.6-sol \ -c model_context_window=1000000 \ -c model_auto_compact_token_limit=900000 ``` Have fun, but also know that we tuned the default carefully!

When India accidentally wiped out its vultures, half a million people died in five years. The bird doing zoomies in this video runs the most extreme digestive system in the animal kingdom. Vulture stomach acid sits near pH 1, strong enough to destroy anthrax, rabies, and botulism in the carcasses they eat. A flock strips a cow to bone in about 45 minutes. India had 50 million of them. Free sanitation at national scale, in a country where religious custom means most cattle die natural deaths and every dead cow becomes a carcass someone has to deal with. Then the patent on diclofenac expired in 1994. Farmers started using the cheap painkiller on livestock. Trace amounts left in a carcass cause kidney failure in vultures. Within a decade, 50 million birds fell to a few thousand. The fastest collapse of any bird species since the passenger pigeon. The carcasses didn't disappear. Feral dogs took the vultures' place and brought rabies with them. Rotting remains leached into waterways. In districts where vultures once thrived, human death rates rose more than 4 percent. Economists at Chicago and Warwick put the toll at 100,000 extra deaths a year and $69 billion in annual damages. So yes, the goofy bird sprinting down the walkway is adorable. It's also a disease firewall that evolution spent millions of years building and one generic painkiller nearly erased in ten.

New data for Great Barrier Reef: Last five years best on record Yet, media wrote its obituary in 2014 Research told us it would be almost gone in 2022 Not all scare stories are true

Get your “finally” replies in. Codex Remote notifications are now working. When you start a turn or open up a thread in progress, you’ll get a notification when the turn finishes or needs approval, etc

You probably hate tab switching. Understandable. You can now open any @googledrive Doc, Sheet, or Slide right inside ChatGPT and work side by side without switching tabs. Rolling out on web to Plus, Pro, Business, and Enterprise users in ChatGPT and ChatGPT Work.

The OpenAI Foundation is launching AI for Civil Society and Philanthropy to help nonprofits, community organizations, and other trusted partners put advanced AI to work on urgent challenges, develop practical solutions and scale what works. The first effort is a $100 million commitment with Common Health Coalition to launch Breakthroughs to Follow-through to help care teams use AI to reach more patients with proven treatments - starting with the goal of doubling hepatitis C cure rates in Alabama, Illinois, Louisiana, and Massachusetts. Breakthroughs to Follow-through will work to identify patients who have fallen out of care, synthesize records, track progress, and focus limited staff time where it can have the greatest impact. The OpenAI Foundation wants to empower those who are closest to issues and to put AI to work where it can make a meaningful difference in people’s lives.

If this is indeed a large factor, there may one day be a very painful cliff due to overhang and network effects. If robotics works well by then too... I know very little about the topic but I think this may summarize why people are worried about jobs at some point.

We can finally talk about it: We found a way to extract hidden reasoning of frontier models using a vulnerability in the APIs of every frontier AI company. We verified that our reasoning token count matches billed API thinking tokens 1:1 for most of the prompts we queried.