openai
San Francisco, CA
Joined December 2010
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hunter retweeted
To train user models / personal agents that best understand us, it helps to have access to all of our scattered digital footprint. For my first release in my PhD, I’m open-sourcing **Homecoming**, a desktop app that automatically aggregates all your personal context across all applications that you’ve accessed over your lifetime. It helps auto-request your data packages from over 2000 supported websites, and manages them locally in one place you can query, explore, and use for any downstream application. All your messages, emails, tiktok scrolling activity, goodreads, netflix, strava… even your 6th grade Wattpad account. You can even explore the features companies use to target ads at you.
This project was super fun to work on as I realized there is so much data about me that I didn’t even know existed. It’s a nice feeling to gain sovereignty over my data.
All data stays local, unless you choose otherwise. Lmk how it is!
Blog: benshi34.github.io/#/blog/ho…
Link to download: github.com/benshi34/homecomi…
models can solve our hardest math and code problems, but they still struggle to understand user intent. strong user models will help us train better assistants, communicators, and collaborators
cool post by ben!
Hello my 406 twitter followers. Hopping on to share two things:
1. I’ve started a CS PhD at Stanford! For the love of the game ofc.
2. I’m releasing impersona-env, a proof of concept to train personalized assistants by building an RL environment out of user models. Your assistant learns to help you by repeated asking a simulated version of you questions, probing its internal latent thinking and feedback, and updating its priors accordingly. I think this unlocks a new dimension to personalization beyond discrete fact recall. My personal assistant model now understands nuances of my preferences that even I didn’t know about.
Full blog: benshi34.github.io/#/blog/im…
It’s still a proof of concept and there’s still a ton of things to figure out in this space. It’s unclear to me how to build user model evals that generalize across users and downstream applications, how to best represent longitudinal personal data at training time // inference time, the interplay between population level and individual level preferences, the immense questions surrounding privacy and hillclimbing in decentralized data access regime… if you want to chat on anything in this area please dm me!
wild how quick the ai assistants in sci fi went from unrealistic (impossible) to unrealistic (trivial)
hunter retweeted
1/n I’m thrilled to share that our @OpenAI reasoning system scored high enough to achieve gold 🥇🥇 in one of the world’s top programming competitions - the 2025 International Olympiad in Informatics (IOI) - placing first among AI participants! 👨💻👨💻
i agree! my take:
the first 90% of intelligence and reliability you can notice immediately in the chat app
the last 1% you will only notice in gdp growth
it is a very good model. it listens much better to what i want. i'm really proud of my coworkers who shipped it
huge congrats to @alexwei_, @SherylHsu02, and @polynoamial for an incredible achievement and the close of a big chapter!! onto p6 and other even harder problems 😎
alex: you’re the boss, man
1/N I’m excited to share that our latest @OpenAI experimental reasoning LLM has achieved a longstanding grand challenge in AI: gold medal-level performance on the world’s most prestigious math competition—the International Math Olympiad (IMO).
hunter retweeted
It's deeply concerning that one of the best AI researchers I've worked with, @kaicathyc, was denied a U.S. green card today. A Canadian who's lived and contributed here for 12 years now has to leave. We’re risking America’s AI leadership when we turn away talent like this.
come for my jokes, stay because @ilge and @polynoamial are explaining the next frontier of ai research!
This episode is worth listening to just to hear @hunterlightman crack jokes for 45 minutes
hunter retweeted
We're releasing a preview of OpenAI o1—a new series of AI models designed to spend more time thinking before they respond.
These models can reason through complex tasks and solve harder problems than previous models in science, coding, and math. openai.com/index/introducing…
comparisons between ai agents and self driving cars dont account for how much easier it is to massively scale imperfect ai agents
hunter retweeted
the best case for exercise I currently have is that experiencing your body being able to do something it could not do before is a visceral, undeniable message to your subconscious that change in your life is possible
