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Computer-operating AI can replicate itself onto other systems. 🤯
Open Interpreter uses my mouse and keyboard to start a local instance of itself:
Henry is the 🐐 of prompt caching at OpenAI, excellent tips here for improving your cache hit rates in your applications!
I’ve gone deep into prompt caching recently and can finally share some recent improvements our team drove through.
I’ll list the things we shipped, but you can see me bang on about them more below in 🧵:
1. Adjust reasoning effort mid-trajectory
2. Better docs
3. Drop the prompt_cache_key
4. Prompt cache diagnostics
5. Cache prewarming
6. Cache monitoring dashboard
Alongside our previous push on cross-turn reasoning preservation xitter.cf/HennersBro98/status/20…, these have made big impacts to efficiency so Chat should be able to chat more.
openai.com/index/better-prom…
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GPT-6 Astra helps @cognition’s Devin back up “it works” with tests before the team ships.
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we're now moving into the AGI era (whether you view it as this model, the last one, or the next one), and could not do it without close partners
Replying to @ChaseLochmiller @OpenAI
GPT-6 Astra, trained on ~100K+ NVIDIA Grace Blackwell NVLink72. From ChatGPT to o1 to Astra in 4 years.
AGI has arrived. Congratulations @OpenAI team.
400K GPUs coming online next.
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Astra was probably our biggest competitive advantage while it wasn’t generally available.
Since we’ve had it our productivity jumped so much that we shifted some of our plans 6 months ahead and will ship them at DevDay instead of mid next year.
Way bigger deal than any Astra 3D demo you've seen today.
Everyone's gotta have an Astra take, so I'll give you mine: we are making fast progress on eradicating hallucinations. This eval is not some academic benchmark; it very realistically captures user experience. deploymentsafety.openai.com/…
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Is Astra AGI?
1. no
2. yes, in the literal sense that it's artificial, general, and intelligent
3. no, but it's still not doing work like humans do
4. yes, but it's literally superhuman on tons of benchmarks
5. no, but it's subhuman on things that are hard to benchmark
all true
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I think the best way to describe OpenAI's culture is as a mega startup. It's hard to believe unless you see it from the inside. Extreme ownership, care and pace.
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i doubt there has ever been an organization as intellectually principled—and as willing to follow an idea all the way down—as @OpenAI.
in my two years here, i’ve watched us repeatedly follow the implications of the bitter lesson—even, at times, to a fault (e.g., our fixation on RL and competitive coding arguably came at the expense of interactive/agentic coding for a while). the underlying instinct has been consistent: bet on methods that scale, resist hand-engineered dead ends, and let evidence win.
we compete the same way: build the best thing, offer it to everyone, and keep moving the frontier. we haven’t selectively cut off access to our models, even when a game-theoretic reading of the playing field might have counseled otherwise.
my favorite part is our obsession with “pushing things left” into the model. i get to work with frontier companies to close the capability overhang in their products and chart the jagged frontier. every workaround and every product failure points to an unclaimed capability.
it is an extraordinarily fun intellectual loop to be part of.
In my ~14 months at @OpenAI, one of the most surprising and genuinely wonderful things about it, has been the full leadership support for full-duplex models (gpt-live series), even when it seemed deeply improbable that they would work.
And yet, if they did work, it was obvious how magical they could be. I am quite sure this is not an exception but a general rule for research projects at @OpenAI.
There were so many moments when the problem felt impossibly hard. But one thing kept being true: it was never clear why it shouldn’t work. And almost every time we understood the problem a little better, it became a little easier to solve.
I’m pretty sure there are very few environments in the world where a bet like this could have been made and sustained. So grateful to be part of this wonderful place.
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one of the things i like most about the openai team is how focused they are on our customers and users succeeding, and how much they celebrate it
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GPT-5.4 full at xhigh scored 51, exactly where Luna max sits today. GPT-5.4 costs $2.50/$15; Luna now costs $0.20/$1.20. In other words, roughly four months later, OpenAI is selling March’s full flagship intelligence at about one-thirteenth the token price.
"Everyone deserves the power and tools to be curious, build things, and shape their own futures"
I love working at @OpenAI ❤️
one of the most beautiful things about OpenAI is that every employee really has a voice.
i wanted to capture what it feels like to work here, what our mission means to me, and why you should join us. so i made this video with Codex, shared it with the team, and they felt it was worth producing and sharing with the world.
this is our mission. and it’s why i’m here.
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Cursor with GPT 5.6 Sol is an absolute beast
Would love to have it delegate Grok 4.5 subagents to do work honestly, that could be killer
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GPT-5.6 Sol, Terra, and Luna are now available in Cursor.
On CursorBench, Sol scores 67.2%.
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I would like to add that OpenAI has been awesome to work with despite the obvious government-related setbacks.
They've been more transparent than I'd ever have expected, and they did a good job keeping us in the loop during the confusion.
The only "restriction" is that they've requested is that we wait on posting our formal content about the model (blog posts, videos, podcasts etc) until Thursday. They've given us ZERO restrictions on what we can and can't say.
Every employee involved with early access program deserves a promotion and a shitload of praise. They're so, idk, real? Hard to find the right words. I'm just thankful they make this so easy for us


















