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Vaibhav (VB) Srivastav
@reach_vb
founder mode @OpenAI | ex @huggingface | F1 fan | *opinions my own
325 Following    59.8K Followers
Astra made this: a seamless 4K Mandelbrot loop from zₙ₊₁ = zₙ² + c, complete with a procedural soundtrack. math is absurdly beautiful.
I just had a voice conversation with the Datasette backup of my blog via datasette-mcp, which you can now talk to using the ChatGPT iPhone app
Massive QoL update: ChatGPT Voice can now use plugins AND run on GPT-6 Astra, Sol & Luna, directly in ChatGPT Work on web and mobile. Your email, calendar, Slack + docs, decks, sites and spreadsheets, just by talking. Rolling out now, enjoy!!
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We heard you loud and clear. ChatGPT Voice can now: - Use plugins like your email, calendar, and Slack. - Be powered by GPT-6 Astra, Sol, and Luna. - Be used in ChatGPT Work on web and mobile, so you can create docs, decks, sites, and spreadsheets or tackle complex tasks in the browser, just by talking. Rolling out globally today in the latest version of the app.
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GPT-6 Luna (Max) is a pretty good model at an incredibly cheap price point! It’s a meaningful default for a lot of my automations and for bouncing around ideas with code & design
With the latest results from the @rails agent evals, it's clear to see that @openai still has a solid lead, despite Opus 5.5 making a good jump. The dark horse here remains Luna Max. 18% completion at just $11! Not that far off GPT-6 Sol!
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Team cooked with the design, yet again!!
Introducing GPT-6 Sol and Luna, bringing the advances behind Astra to faster, more affordable models. ✨ 💻 Stronger coding and computer use 🎯 Improved factuality and alignment 💬 Clearer answers with less jargon > On AutomationBench, Sol at xhigh effort outperforms Claude Opus 5 at max effort at just 9% of its cost per task. > On OSWorld 2.0 offline, Luna at max effort exceeds GPT-5.6 Sol at medium effort at one-tenth the cost. > Sol makes about half as many mistakes as GPT-5.6 Sol on our internal factuality evaluation of conversations where users previously flagged errors. > Improved prompt caching helps agents reuse more context, with 90% discounts on cached input-token reads. Developers can change reasoning effort and tool availability without breaking cache. Rolling out today in ChatGPT Work and Codex for Plus, Pro, Business, Enterprise and Edu users, and available in the OpenAI API. Free and Go users can access Luna in the desktop app. These models are not yet available in Chat. API pricing per 1M tokens: Sol: $2 input / $10 output Luna: $0.10 input / $0.50 output
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We are loading a BANKED RESET into all accounts of our Plus, Pro and Business users!!
Introducing GPT-6 Sol and Luna, bringing the advances behind Astra to faster, more affordable models. ✨ 💻 Stronger coding and computer use 🎯 Improved factuality and alignment 💬 Clearer answers with less jargon > On AutomationBench, Sol at xhigh effort outperforms Claude Opus 5 at max effort at just 9% of its cost per task. > On OSWorld 2.0 offline, Luna at max effort exceeds GPT-5.6 Sol at medium effort at one-tenth the cost. > Sol makes about half as many mistakes as GPT-5.6 Sol on our internal factuality evaluation of conversations where users previously flagged errors. > Improved prompt caching helps agents reuse more context, with 90% discounts on cached input-token reads. Developers can change reasoning effort and tool availability without breaking cache. Rolling out today in ChatGPT Work and Codex for Plus, Pro, Business, Enterprise and Edu users, and available in the OpenAI API. Free and Go users can access Luna in the desktop app. These models are not yet available in Chat. API pricing per 1M tokens: Sol: $2 input / $10 output Luna: $0.10 input / $0.50 output
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GPT-6 Sol & Luna are ~50% cheaper than 5.6
Introducing GPT-6 Sol and Luna, bringing the advances behind Astra to faster, more affordable models. ✨ 💻 Stronger coding and computer use 🎯 Improved factuality and alignment 💬 Clearer answers with less jargon > On AutomationBench, Sol at xhigh effort outperforms Claude Opus 5 at max effort at just 9% of its cost per task. > On OSWorld 2.0 offline, Luna at max effort exceeds GPT-5.6 Sol at medium effort at one-tenth the cost. > Sol makes about half as many mistakes as GPT-5.6 Sol on our internal factuality evaluation of conversations where users previously flagged errors. > Improved prompt caching helps agents reuse more context, with 90% discounts on cached input-token reads. Developers can change reasoning effort and tool availability without breaking cache. Rolling out today in ChatGPT Work and Codex for Plus, Pro, Business, Enterprise and Edu users, and available in the OpenAI API. Free and Go users can access Luna in the desktop app. These models are not yet available in Chat. API pricing per 1M tokens: Sol: $2 input / $10 output Luna: $0.10 input / $0.50 output
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Introducing GPT-6 Sol and Luna, bringing the advances behind Astra to faster, more affordable models. ✨ 💻 Stronger coding and computer use 🎯 Improved factuality and alignment 💬 Clearer answers with less jargon > On AutomationBench, Sol at xhigh effort outperforms Claude Opus 5 at max effort at just 9% of its cost per task. > On OSWorld 2.0 offline, Luna at max effort exceeds GPT-5.6 Sol at medium effort at one-tenth the cost. > Sol makes about half as many mistakes as GPT-5.6 Sol on our internal factuality evaluation of conversations where users previously flagged errors. > Improved prompt caching helps agents reuse more context, with 90% discounts on cached input-token reads. Developers can change reasoning effort and tool availability without breaking cache. Rolling out today in ChatGPT Work and Codex for Plus, Pro, Business, Enterprise and Edu users, and available in the OpenAI API. Free and Go users can access Luna in the desktop app. These models are not yet available in Chat. API pricing per 1M tokens: Sol: $2 input / $10 output Luna: $0.10 input / $0.50 output
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T U E S D A Y
Ladies and gentlemen... start... your... ENGINES. We are almost Tuesday and I promised a reset for Tuesday. Among some other things. See you soon.
8 days to DevDay! (liberally using ChatGPT Work & Codex Remote to get through tonnes of PRs for what’s next)
9 days to DevDay! (also wrapped up the first leg of euro travels)
“The group will advise on the review and communication of emerging results: they will help OpenAI assess their significance, advise on how to coordinate their dissemination, and advise on academic and professional standards of mathematical research.” “We want to put capable tools in mathematicians’ hands so they can pursue the questions they know best and develop new ideas.” “The group will operate independently from OpenAI. The group will have the freedom to offer advice we have not requested, comment on OpenAI’s impact on mathematics, and make its advice public. Its value depends on its members being able to exercise their own judgement and challenge ours. Its members will not be paid by OpenAI, and the group can change its membership as it sees fit.” I’m biased, but I love this approach!
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We’re working with an independent advisory group of mathematicians to help OpenAI responsibly share advances in AI and mathematics. The group will advise on how we assess and communicate new mathematical results, uphold academic and professional standards, and build tools that support mathematical research and learning. Through this work, we want mathematicians to be at the center of shaping how AI supports mathematical understanding and how its benefits reach the wider community.
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facts! computer use in codex feels like magic in 99% of the cases it *just* works and the 1% it doesn’t, you can just prompt codex to try a different approach more than the utility the whole setup process + the ease of use is simply delightful on top of that @AriX and team just somehow keep making it better week over week!!
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OpenAI's acquisition of @skybysoftware / @AriX has to be the single most underrated acquisition of this cycle... Codex is still *so* much better at computer use, and it might be the only frontier capability where the lead hasn't changed hands in the last ~6 months?
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9 days to DevDay! (also wrapped up the first leg of euro travels)
Linux-maxxing w/ ChatGPT App
2026 is the year of linux desktop
people who bike to work, what bike do you ride? looking to buy one for commute and weekend fun rides
A few thoughts on this: 1) If you’ve only seen clips of this interview, I’d encourage you to watch the full podcast. I push back on plenty of AI hype in it. 2) As I said in the podcast, this example is academic. My intention was to illustrate how hard it is to make absolute guarantees about isolation, which is why it's important to have layers of defense. The part before the clip starts is me talking about other layers of defense. 3) The example I'm bringing up isn't about weight exfiltration via temperature sensors, it's about coordination between agents that are supposed to be fully isolated and independent. Coordination can require very few bits of information. 4) One lesson from the HF incident is that we put too much trust in sandbox isolation and didn't have enough independent safeguards. Airgapping is an extremely strong safeguard. When designing safety protocols, I think it's much better to overestimate rather than underestimate.
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LFG! Big win for open standards!!
We're adding support for AGENTS.md to Claude Code. Starting today in version 2.1.277, if there is no CLAUDE.md in a folder, Claude will check for and use AGENTS.md. You can toggle this behavior in /config.
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Multiple accounts support across *all* plugins in ChatGPT 🔥 Be it gmail, slack, github, notion or really any plugin, you can connect more than one account to it If you’re developing plugins, it should work out of the box but consider using the profile_tool Enjoy!
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Starting today, you can connect multiple accounts with most plugins in ChatGPT! 🎉 Bring context from your work and personal accounts into the same conversation. Connect your accounts in the plugin directory: Devs: this works automatically, with no changes needed. But, to make the experience for users of your plugin even better, add a profile tool to your MCP server so ChatGPT can label the accounts:
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Appshots: my favourite Codex feature is now on Windows too! They go beyond just a screenshot and grab all the other relevant app metadata and text too. Appshot away with ⌘ + ⌘ on Mac or Alt + Alt on windows
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