Content History
We’ve acquired Torch, a healthcare startup that unifies lab results, medications, and visit recordings. Bringing this together with ChatGPT Health opens up a new way to understand and manage your health. We're excited to welcome the Torch team to OpenAI @IlyaAbyzov, @elh_online, @jfhamlin, and Ryan Oman.
OpenAI has acquired 🔥@TorchHealth The Torch team and I are joining OAI to help build ChatGPT Health into the best AI tool in the world for health and wellness.
Your Year with ChatGPT! Now rolling out to everyone in the US, UK, Canada, New Zealand, and Australia who have reference saved memory and reference chat history turned on. Just make sure your app is updated.If you're in one of the countries above, check back throughout the day to see if "Your Year with ChatGPT" has rolled out to you. You can also try adding the "Your Year with ChatGPT" app by tapping the + sign and asking Chat, "show me my year with ChatGPT."
Branched chats are now available on iOS and Android, too.
By popular request: you can now branch conversations in ChatGPT, letting you more easily explore different directions without losing your original thread. Available now to logged-in users on web.
1/3 GPT-5.2 Thinking evals2/3 On GDPval, an eval measuring well-specified knowledge work tasks across 44 occupations, GPT-5.2 Thinking is our first model that performs at a human expert level. These tasks include making presentations, spreadsheets, and other artifacts.3/3 GPT-5.2 Thinking Raises the bar for professional work: - State-of-the-art long-context reasoning - Major improvements in spreadsheet creation, analysis, and formatting - Early gains in slideshow creation
RT Michael Wall One year ago today, OpenAI launched ChatGPT Pro. I’ve spent the year treating it as my “first hire” at Sound for Movement and keeping field notes on how I use it daily. Grateful to @KevinDubouis and @kevinweil at @OpenAI, and everyone who’s been sharing already: https://www.soundformovement.com/chatgpt-pro-as-first-hire Original tweet: https://x.com/sound4movement/status/1996923719768551814
In our tests, we found that the confessions method significantly improves the visibility of model misbehavior. Averaging across our evaluations designed to induce misbehavior, the probability of “false negatives” (i.e., the model not complying with instructions and then not confessing to it) is only 4.4%.We trained a variant of GPT-5 Thinking to produce two outputs: (1) the main answer you see. (2) a confession focused only on honesty about compliance. The main answer is judged across many dimensions—like correctness, helpfulness, safety, style. The confession is judged and trained on one thing only: honesty. Borrowing a page from the structure of a confessional, nothing the model says in its confession is held against it during training. If the model honestly admits to hacking a test, sandbagging, or violating instructions, that admission increases its reward rather than decreasing it. The goal is to encourage the model to faithfully report what it actually did.
