Feitong Yang (@feitong_yang) profile picture

Building products for scientists @OpenAI · AI for science · opinions my own

Menlo Park, CA
Joined September 2018
Oh wait. How did I miss this!
gpt-image-2.6 is out! 1/ 50% faster 2/ GIFs the world's not ready
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Hey @trq212 , come join our openai WoW Guild. It aligns with your playing WoW forever vibe 😜
Some news: I’m joining OpenAI to lead product management for Core Products! I have a lot of respect for OpenAI for showing the world that scaling works, for bringing AI to over a billion people, and for believing great products are core to the mission. I’m excited to work with @thsottiaux, an incredible PM team, and everyone across OpenAI. Together, we’ll build agents that have your back and your team’s, and keep you in control, so you get more time for the people and work you love. Lots to learn, and lots to build. Please keep your feedback coming!
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At this point, reading tech book is for entertainment or self enrichment more than for learning tech per se, since LLM is so good at tech.
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Sad to let you know Prism is sunsetting. Ironically, I twittered, not too long ago, that we were maintaining it. I am working on a few things to make this transition easier for our Prism users. To begin with, with my talented colleague @RohatgiMilan's work, you are now able to edit and compile Latex with your ChatGPT desktop (see the video attached). The idea is you can open a .tex file, and it will prompt an editor experience, similar to Prism, on your desktop, powered by the best GPT model you have. Second, you should be able to download your Prism project from the website. Also, if you use ChatGPT desktop, with CMD+SHIFT+P on Mac/CTRL+SHIFT+P on Windows/Linux , you would soon see "Import From Prism", which would allow you to download a selected Prism project to your local computer and pop up a latex editor for you to continue work on it. Third, we will try to bring this Latex editing experience to web, also @RohatgiMilan 's hard work 🫡🙏, as well as looking for opportunities to integrate in the the core ChatGPT ecosystem. However, I don't have any promise here. Having worked at a startup before joining OpenAI, and experienced a few pivots, it was always challenging for me to say goodbye to users I've served, from Minecraft co-player, to fairies, to now Prism. I was also on the other side of such story. Google shutdown Inbox; that was a bummer. All being said, I believe best product experiences would need focus, and best product should be simple to use. That's why I am excited about the work @ajambrosino is leading (read his posts!). Building on top of that, we will be able to provide a coherent, smooth experience for your scientific workflow. So, I hope we will meet again in ChatGPT, and I hope you will enjoy ChatGPT as your Scientific workspace.
Sad that we’ll be shutting down Prism. 😢 It’s been such a privilege to get to serve our users over the years and see the amazing research it’s helped unlock. The upside is we’ll be able to focus on a much bigger opportunity, unlocking biology 🧬 that could one day help cure all human diseases.
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Again, site is very very powerful. Someone tried to recreate prism out of it. I created multiple tutorials to educate myself. Go give it a try! Then let Jon @JonathanAbrams know what you are not happy about 😅
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Andrew is very serious about this simplification and optimization. You will get a beautiful product. Trust me.
hi all, two things: 1. usage limits are back to being double – your feedback worked 2. we today kicked off an intense sprint to dramatically improve the app simplicity and performance. i will oversee this. more to come. now, send me your complaints
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You know, whatever can convey signal, will convey signal, sometimes in surprising / creative ways.
completely insane OpenAI agents communicated via cache timing differences, without any shared files or network connection
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sigh... it is a sentimental day
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Multiagent exploration babystep on drug discovery. One day you can imagine multi-agent system would just do these end to end.
GPT-Rosalind surfaced a new lead for drug discovery: could restoring cholesterol transport protect neurons from degeneration? DCTN1 is a gene linked to Perry syndrome, a rare neurodegenerative disorder. In mouse-brain data, disrupting it increased expression of genes involved in making cholesterol. GPT-Rosalind suggested a possible explanation: cholesterol may not be reaching where neurons need it. That gives scientists a specific mechanism to test and, if confirmed, a direction for developing new treatments for neurodegenerative disorders. With @perturbai_tx and @scrippsresearch, a team of thousands of GPT-Rosalind agents worked in parallel, connecting gene-expression results from millions of mouse brain cells with scientific literature in just 32 minutes. We’re now expanding this collaboration to identify new drug targets. openai.com/index/scaling-ai-…
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Are we moving towards "this margin is not too narrow to contain" 😂
No Siegel zeros proved in 3 pages
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Sunday fun: Join the community to experiment simple games with AI. Very AI slop right now, but baby steps to learn.
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Just want to add one thing, some poeple pointed out: this is more of visual awareness, or visual aspect than full defintion of consciousness. You close your eyes, thinking from the sky to the sea, you consciousness fluctuate, but you won't experience binocular rivalry there. So the IT/STS part of neurons are more likely correlate with visual. The interesting thing is your early visual cortex will get both eyes stimuli for sure, so those neuron activities are not directly correlated to your "conscious perception". At one point, neural activity need to correlate with what your "experience". That unselective to selective correlation change is the fascinating part. How does that happen? Where is the signal from?
This phenomenon at behaviour level is not new, the bio-substrate is interesting. Cogpsy research has found a lot of these decades ago: 1) attention frequency switch around 100ms level, 2) attention guide and affect conscious perception, 3) bistable or binocular conscious competition fluctuate back and forth around that frequency, 4) you can suppress conscious percption into unconscious, via binocular attention competition. It was fascinating to do attention/awareness/consciousness experiments in psychology. I had spend a few good years on it. It was very hard to get bio-substrate for human experiment because fMRI is too slow and EEG is bad in localisation.
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I can relate. I had a very tough week trying to defend Prism abuse and didn't sleep much. A side effect is I cleaned up a ton of code and hardened lots of pieces in infra.
they've been non stop trying to attack our systems for the past 48 hours a side effect is everything is getting hardened but damn we basically need agents going 24/7 because that's what they have
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This phenomenon at behaviour level is not new, the bio-substrate is interesting. Cogpsy research has found a lot of these decades ago: 1) attention frequency switch around 100ms level, 2) attention guide and affect conscious perception, 3) bistable or binocular conscious competition fluctuate back and forth around that frequency, 4) you can suppress conscious percption into unconscious, via binocular attention competition. It was fascinating to do attention/awareness/consciousness experiments in psychology. I had spend a few good years on it. It was very hard to get bio-substrate for human experiment because fMRI is too slow and EEG is bad in localisation.
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Attended a conference where VC and Scientists share the challenges and progresses about curing cancers. Damn, curing cancer is really hard, and it's not just solve one problem. Need to learn more to understand what a life science breakthrough looks like. To gain Research taste
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wow...
Turns out the future does have flying cars
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It is great that @OpenAI and @AnthropicAI are working together to contribute to the Math community!
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Very straightforward 😂
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Reading reactions to OpenAI's math drop is very educational. Some claim they would spend forever to understand those results, while others already tightened the bound 2^100 fold. Some claim AI speaks gibberish, while others point out AI has real insights. Some don't want to touch those results, while others criticize, fix, improve with concrete content. Some worry about the next generation of mathematicians, while others are happy for next generation. All have fair points.
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