President & Co-Founder @OpenAI
Joined July 2010
- Tweets 4,815
- Following 65
- Followers 485,194
- Likes 1,386
Why did the statistician go back to school?
To get his degree in regression!
(Courtesy of GPT-3 when prompted to make a joke involving the dual meaning of regression.)
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One trick to stop your TODO list from growing without bound: create a fresh list every day, and archive the previous list. Copy over old items only as you actively remember them. Pretty soon you get good at only tracking items that are actually worth the mental space.
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Even in machine learning, as important as knowing how to listen to the data is knowing when to ignore it.
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A surprising fraction of machine learning performance engineering is figuring out how to profile the system component that shouldn't be your bottleneck but somehow is.
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GPT for learning a new programming language:
So this is pretty amazing. @OpenAI’s playground is actually helping me learn Swift.
I started using it to ask specific questions about my code or when I need a second opinion. It actually breaks it down with clear explanations and reasoning. AI collaboration = the future.
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Science optimizes for paradigm shifts; engineering optimizes for steady progress.
Both like to think they are the only way—eg that engineers don't do novel work, scientists are not pragmatic.
But a 10x win matches 25x 10% optimizations, and in practice, each unlocks the other.
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Greg Brockman retweeted
My team and I were intrigued by our conversation with @SamA at @OpenAI this week. Humanity is on the precipice of great change with the proliferation of #AI. This opens up immense possibilities but also ethical questions. Our aim must be to ensure equal opportunities and access.
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GPT-oetry is getting pretty good too (and just wouldn't be the same without the DALL-E-provided illustration):
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Hard to internalize that this image was drawn largely by doing some matrix multiplications & some other vector math (with parameters found by doing some hill climbing in a billion-dimensional vector space):
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Despite many valid drawbacks, it's hard to beat a monorepo for building a long-term project that involves many tightly-collaborating teams.
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3 million DALL-E images generated so far, and have been building out our safety systems in parallel. We are now ramping to 1,000 invites per week:
Update on the DALL·E 2 waitlist: We'll be onboarding up to 1,000 people every week as we continue to enhance our safety systems. openai.com/blog/dall-e-2-upd…
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zsh plugin using Codex to write your shell commands from a comment: github.com/tom-doerr/zsh_cod…
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GIF
GPT-3 summarization has gotten pretty good:
HOT OR NOT?? 🔥
I made a quick @airtable script that uses @OpenAI API to summarise any text entered in the first field and adds the "tl;dr" to another field. And it works like a charm!! There are like TONS of #nlp #ml #automation things to be done with the same logic...
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A reliable system is just an unreliable system whose failure modes have been repeatedly encountered, studied, understood, and fixed.
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Greg Brockman retweeted
I don’t usually “shill” where I work, but OpenAI is a truly special place comprised of brilliant people, focus, and optimism — and I’m so lucky to be here, right now.
Why work at OpenAI?
1. You'll work on hard & important problems, with the most resources in the field and a small-ish group of the most talented colleagues, with minimal bullshit and maximum agency, be held to very high expectations, and be compensated at the top of the market.
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Greg Brockman retweeted
Can attest – 2 years in at OpenAI and I've never felt more fulfilled (intellectually, socially, etc)
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Hard to imagine personally working anywhere else, or working on any other problem besides AGI.
Building next-generation AI systems is some of today's hardest (and sometimes most frustrating) engineering & scientific work, but the reward is well worth it.
Send Sam a DM!
Why work at OpenAI?
1. You'll work on hard & important problems, with the most resources in the field and a small-ish group of the most talented colleagues, with minimal bullshit and maximum agency, be held to very high expectations, and be compensated at the top of the market.
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