Mark Chen
@markchen90
Chief Research Officer at @OpenAI. Coach for the USA IOI Team.
18 postsÚltimo em 23 de out, 13:56Atualiza a cada 15 min
Ok cool but can he make 24 from 3, 3, 8, 8?
swyx@swyxthis is my quant x.com/cognition/stat…
Excited to welcome Orchestra Bio and @ashokaraj_ to OpenAI as we broaden our work in AI-assisted drug discovery!
OpenAI@OpenAIWe’ve acquired Orchestra Bio, a platform that helps biopharma teams coordinate the complex process of drug development. Together, we’ll build on Rosalind, our AI models and tools for life sciences research, to streamline those operations and help new treatments reach patients sooner. Welcome @ashokaraj_ and team! t.co/vi51OhznQn
Try out Intelligent UI - every ChatGPT completion now has the potential to create a custom UI. Phenomenal for learning new things!
OpenAI@OpenAIGPT-6 and Intelligent UI, now rolling out in ChatGPT for everyone. Intelligent UI in ChatGPT delivers fast, interactive answers that make everyday questions more visual, complex topics easier to grasp, and interactive tools for your task available on the spot.
The Navier-Stokes moment was always much more about the figure below than about the Navier-Stokes problem itself. The run represents a decade of mathematical progress in a week. Can't wait to point these tools at life sciences, building our next models, and alignment!
OpenAI@OpenAIIt’s hard to overstate @michpokrass's impact on our consumer products. ChatGPT has had a rebirth under her leadership, and a lot of what we've built has been driven by her vision and conviction. Really grateful to work with her!
Michelle Pokrass@michpokrassjust crossed four years at openai! the special thing about this place is the constant capacity for rebirth. for all its faults, there is nowhere quite like it. the team makes high conviction, contrarian bets over and over, and they are mostly right. it's a new company every three months. i have really enjoyed my part in some of the bets, and i'm excited to share some of the current ones we are cooking up now. onward!
Two things to distinguish: Did any human or agent look at user data as part of the Navier Stokes effort? No. Do we use user feedback and de-identified data to improve ChatGPT and Codex in a holistic way? Yes. And so does every LLM company.
levent@__alpoge__“we cannot rule out that de-identified data derived from their usage of our products helped improve our models.” i mean props to them for straight coming clean. (so far the proof looks more along the lines of another euler blowup proof we had, off of whose ansatz naming we were making really stupid puns like “smooth criminale”, unlike the much better “ideal fluids explode”, Tristan) so i’ll now give a bit on my thinking here. i actually woulda been pumped to collaborate on this, there are a lot of people at oai i like (ok, clearly some were indirectly dicks to me because of being part of the whole situation, but im a big boy, i still like them), idgaf about authorship on that step anyway, coulda been me Tristan and every fte at oai for all i care (on that Tristan would disagree:p). but on hearing the loud convo in the hallway, especially the part where a millennium prize was offered if i’d just be removed from the paper, it was kinda clear the die had been cast and things were locked. pretty wacky, unstrategic, and unnecessary, since on my side things were mostly me and claude having a good time yoloing random stuff in the corner rather than anything institutional. i also like the idea of the labs cooperating, and even better on scientific progress. it’s a shame!
We solved Navier-Stokes! Many of my colleagues left their fields because they believed that working on AI would be the fastest way to solve their fields' grand challenges. It's surreal to see the first of those challenges fall and to watch a future we believed in become real.
OpenAI@OpenAIWe’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics. The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra. The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.
Agree with @JensenHuang: we’re entering the AGI era. The AGI era must also be the alignment era. We need to teach AI to love humanity and train AI monitors as capable as the AIs they supervise. Said best by @merettm in this thoughtful, sobering piece: openai.com/index/an-alien…
Jensen Huang@JensenHuang@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.
GPT-6 Astra is here! This is a big moment for our research team - years of work on pretraining, reinforcement learning, and post-training have come together in our most capable and aligned model yet. It can build and test software, work across apps on your computer, and even help you take a crack at open scientific problems! Capabilities that felt like grand challenges a few years ago have become tools people can actually use. One example is Computer Use - if you’ve tried this before and felt like it was too slow or not good enough, I encourage you to give it another shot. We’ve come a long way since Operator, and it “just works” now. We’re also asking these systems to act on your behalf for more consequential work. Agents needs to stay aligned with your goals and values, think transparently, and respond to oversight even when tasks become difficult. We’ve made substantial progress on these behaviors in Astra, alongside stronger monitoring that can stop potentially unauthorized actions. That work is part of what makes this release possible. I think alignment is one of the most important research frontiers in AI, and it remains far from solved. Our ability to understand and align models has to keep pace with model capabilities. We want to give people more room to think, build, and discover with increasingly powerful tools that remain *under their control*. Huge thanks to the researchers and teams who got us here. There’s a lot more work ahead, and I’m incredibly excited about what we can make possible in the near future!
OpenAI@OpenAIThis is GPT-6 Astra. Anything you can do on a computer, Astra can do for you. Fast.
Many of our strongest researchers are choosing to focus on alignment, but we're also hiring! If you want to work at a frontier lab which takes alignment seriously and doesn't pretend it's solved, please apply.
Micah Carroll@MicahCarrollThese are incredibly misleading headlines – @OpenAI Preparedness is very much alive and well by any meaningful definition Our subteam – RSI/misalignment Preparedness – is doing more urgent work than ever, and has never been more empowered to do so! x.com/aisafetymemes/…
We’re excited to go big with NVIDIA and sign up for 4+ GW of capacity. This is the scale frontier training demands!
Jensen Huang@JensenHuangAnother step towards intelligence too cheap to meter! x.com/sama/status/20…
I’m incredibly excited to welcome Jacob Tsimerman to OpenAI! His mathematical talent is clearly extraordinary, but so is the seriousness and depth with which he engages on AI safety. x.com/chi_t_williams…
I’ll be doing a Q+A at ICML today (Wednesday) at 3-4pm as well. See you soon! x.com/polynoamial/st…
Game changer! No more physical claws needed to keep my laptop open 😂 x.com/guinnesschen/s…
Very excited to welcome @NoamShazeer to OpenAI as our new lead for architecture research! His work on transformers, MoE, and efficient decoding have shaped modern AI. He’s extremely AGI-pilled and is super thoughtful about making it all go well. Welcome, Noam! x.com/NoamShazeer/st…
When Mythos came out, my immediate thought was "if our models can prove 80-year-old theorems, surely they can find cyber vulnerabilities too." And they did. I imagine the researchers there are thinking the same thought in reverse. x.com/__alpoge__/sta…
Very proud that an OpenAI model disproved Erdős’s longstanding unit distance conjecture, with an elegant and intricate proof that brings sophisticated ideas from algebraic number theory to bear on geometry. For whatever reason, mathematics has been the field most amenable to research breakthroughs with AI. I consider it lucky that it was mathematics after all - a field where experts have been willing to engage deeply with us, and with proofs generated by our models. I'm grateful for that, and don't take it for granted. Math is an artistic endeavor, and perhaps for artists, it is precisely their appreciation for art that saves them from the possibly grotesque feeling of a machine producing it. Our goal is not to replace humans. We aim to chart a path forward where humans continue to have a significant role to play, even as we build exceptionally powerful AI. I am excited to use math as a domain to explore these paths, and @SebastienBubeck, @merettm, and I are excited to engage with the broader mathematical community to chart them together. Please reach out if you are interested! I'm optimistic this will help us navigate how AI impacts society in domains like coding and general co-working.