Red (@adventurared) header
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🇲🇽🏳️‍🌈 bytes.🧑🏽‍🔬 connecting people to develop artificial intelligence @openai. my tweets don’t represent anyone/thing else

San Francisco, CA
Joined July 2012
Photo by Red (@adventurared)Photo by Red (@adventurared)Photo by Red (@adventurared)Photo by Red (@adventurared)Photo by Red (@adventurared)Photo by Red (@adventurared)Photo by Red (@adventurared)Photo by Red (@adventurared)Photo by Red (@adventurared)Photo by Red (@adventurared)
I bet you don't know what a SF "public bank" would be. absolutely no offense, very few do. seriously - ask your friends. "um, it's a place for residents to get fee-free checking accounts, low-rate mortgages, etc?" nope. not even close. and Prop B proponents don't seem to want you to know the details... well here they are. hot off @theVOSF press. enjoy! @JackieFielder_ @bilalmahmood @alankennywong @scsherrill @MHurabiell @SFNoPropB @sfpublicbank thevoicesf.org/public-bank-d…
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Red retweeted
we made a chip and it is fast
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I asked GPT-5.6 Sol to create the most Claude-y possible parody image and what it came up with is pretty great and dead-on.
🤖 Made with AI
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We integrated the Codex harness into Prism (prism.openai.com) — this means you get skills, reasoning levels, and the raw tenacity of the Codex model in your LaTeX environment. Oh and we also built version mgmt into Prism, which was one of the top requests. See below thread from @vicapow for some great examples of the power of Codex inside Prism 👇
🧵1/ We've brought the most advanced AI to Prism by introducing Codex to Prism. Prism is already the best place for scientific writing to happen—and with Codex, now you can write, compute, analyze, and iterate all in one place.
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>be you >work in HFT shaving nanoseconds off latency or extracting bps from models >have existential dread >see this tweet, wonder if your skills could be better used making AGI >apply to attend this party, meet the openai team >build AGI
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>be me >grind for a decade trying to help make superintelligence to cure cancer or whatever >mostly no one cares for first 7.5 years, then for 2.5 years everyone hates you for everything >wake up one day to hundreds of messages: "look i made you into a twink ghibli style haha"
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if you are a safety researcher, please consider applying to help test o3-mini and o3. excited to get these out for general availability soon. extremely proud of all of openai for the work and ingenuity that went into creating these models; they are great.
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OpenAI comms: [underspecific hype-y 'big tings coming!!' pls like and subscribe] Google comms: [corporate vagueness about Gemini3-0011 v2 FINAL.docx on Vertex available to 14 users] GDM comms: [we have simulated a rat's brain capable of solving 4D chess, but we're not sure why] Anthropic comms: [we are very worried. we have asked the model to spell out 'doom' and it did] Meta comms: [haha we love the USA!! our new mostly-open model is very American!! pls work for us] Microsoft comms: [would you like to set Microsoft Edge your default browser?]
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🌐 Introducing ChatGPT search 🌐 ChatGPT can now search the web in a much better way than before so you get fast, timely answers with links to relevant web sources. openai.com/index/introducing…
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everyone wants to join a rocket ship until they remember they’re bumpy and on fire. buckle up y’all, only way to space.
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First @NVIDIA DGX H200 in the world, hand-delivered to OpenAI and dedicated by Jensen "to advance AI, computing, and humanity":
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I got a rare opportunity to ask OpenAI's video generation model Sora for some videos this week! I had 3 prompts. Here's the videos with my prompts and what I learned 🧵
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scaling laws are decided by god; the constants are determined by members of the technical staff
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My typical day as a Member of Technical Staff at OpenAI: [9:00am] Wake up [9:30am] Commute to Mission SF via Waymo. Grab avocado toast from Tartine [9:45 am] Recite OpenAI charter. Pray to optimization Gods. Learn the Bitter Lesson [10:00am] Meetings (Google Meet). Discuss how to train larger models on more data [11:00am] Write code to train larger models on more data. pair=@hwchung27 [12:00pm] Lunch at the canteen (vegan, gluten-free) [1:00pm] Actually train large models models on more data [2:00pm] Debug infra issues (why the fck did I pull from master?) [3:00pm] Babysit model training. Play with Sora [4:00pm] Prompt engineer aforementioned large models trained on more data [4:30pm] Short break, sit on avocado chair. Wonder how good Gemini Ultra actually is [5:00pm] Brainstorm potential algorithmic improvements for models [5:05pm] Conclude that algorithmic changes are too risky. Safer to just scale compute and data [6:00pm] Dinner. Clam chowder with Roon [7:00pm] Commute back home [8:00pm] Have a wine and get back to coding. Ballmer’s peak is coming [9:00pm] Analyze experimental runs. I have a love/hate relationship with wandb [10:00pm] Launch experiments to run overnight and get results by tomorrow morning [1:00am] Experiments actually get launched [1:15am] Bedtime. Satya and Jensen watch from above. Compression is all you need. Good night
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openai is the most talented and nicest group of people i have ever seen in one place working on the hardest, most interesting, and most important problems with all the key resources in place extremely focused on making AGI you should perhaps considering joining us
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Replying to @sama
“A half duck half dragon flies through a beautiful sunset with a hamster dressed in adventure gear on its back”
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Had an insightful conversation with Dr. Anna Makanju, Vice President, Global Affairs at @OpenAI this week. Explored the potential of AI to enhance employment opportunities for Persons with Disabilities, improve digital accessibility, and break down barriers for PwDs through innovative solutions fostering inclusion. Thank you for organising this, @tqh_policy
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