President & Co-Founder @OpenAI
Joined July 2010
- Tweets 4,815
- Following 65
- Followers 495,334
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OpenAI-supported research into malicious applications of GPT-3-like systems:
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New result: GPT for formal theorem proving.
We produced shorter proofs of existing theorems (github.com/metamath/set.mm/p…), and proofs of assertions people hadn't yet written formal proofs for (github.com/metamath/set.mm/p…), which have been merged into the Metamath proof database.
Posted my first paper on arXiv💥🙌
GPT-f is a Transformer-based automated theorem prover. We show that Transformer + Search is suitable to formal reasoning and continuous self-improvement 🦾
arxiv.org/abs/2009.03393
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OpenAI passed a rigorous A/B test in comparison to human-written copy, with a lift of 7%:
The first result of AI vs Humans competition hosted by @VWO to test GPT-3’s copywriting abilities is out!
Guess what?
The 🤖 AI won with an uplift of 7% over the human copy (statistical significance of 91%)
Check out ongoing tests here vwo.com/ab-testing-openai-gp…
Cc: @gdb @gwern
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Can you send me an email (gdb@openai.com) with more details of your use-case?
We have tens of thousands of applications so we’re still *very* backlogged, but we can sometimes prioritize based on use-case.
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We're now on our 3rd generation of system which learns from human preferences (cf openai.com/blog/deep-reinfor…, openai.com/blog/fine-tuning-…).
I'm hopeful that this approach will ultimately help align powerful AI systems without needing to explicitly write down "what humans want".
A very rare bit of research that is directly, straight-up relevant to real alignment problems! They trained a reward function on human preferences AND THEN measured how hard you could optimize against the trained function before the results got actually worse.
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An approach to better align language models with human preferences:
We've used reinforcement learning from human feedback to train language models for summarization. The resulting models produce better summaries than 10x larger models trained only with supervised learning: openai.com/blog/learning-to-…
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OpenAI for parsing invoices into structured form:
Spent weeks building invoice extraction with basic ML and rule-based logic.
Spent a *day* with GPT-3 and got 10x better results.
Document processing holy grail — several-shot learning for entities extraction, no templates, no nasty regexes.
Thanks for the access @gdb @OpenAI
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Gmail add-on for both summarizing & generating emails, powered by OpenAI. Now in beta:
Introducing "Magic Email" - an AI Email Assistant that summarises your emails instantly and generates professional emails from brief one-line descriptions using GPT-3.
Works on mobile and web.
Join the Beta: magicemail.io
Thanks, @OpenAI @gdb #GPT3
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Writing a job description and need creative ideas? You can now use this OpenAI-powered tool, which suggests rewrites and additions: dover.io/tools/job-descripti…
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A Gmail mobile & web add-on which writes a full draft email from a one-line description:
Generate Detailed Emails from One Line Descriptions (on your mobile)
I used GPT-3 to build a mobile and web Gmail add-on that expands given brief descriptions into formatted and grammatically-correct professional emails.
Thanks to @OpenAI @gdb for providing me access.
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OpenAI for converting bullet points into a proper email, now as a Gmail plugin:
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OpenAI as a brainstorming companion via text message:
Creating a GPT-3 texting companion (using sendblue.co) has been one of the most interesting experiences I’ve ever had. In the past week of using this thing I’ve had more ideas and conversations with this thing than I’ve had with real people. Truly incredible.
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An OpenAI-powered game design tool for creating dialogue flows. A good example of where our technology can boost productivity & creativity, but does not fully automate work:
Create meaningful dialogue flows using @Storymapr with @OpenAI #GPT3 API integration; In limited beta, sign up with @Storymapr at bit.ly/30OSKO9 or shoot us DM if you want access. #storymapr #ai #openai #gamedesign #NLP
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OpenAI was used for the copywriting for @italic's newest product line. A great example of our API being applied for utility rather than novelty:
Team just told me that GPT-3 wrote the product copy for our two down-alternative products 👾
I only found out when the person who manages our site returned from vacation today and casually mentioned during evening standup. Wow. H/t @chris__lu.
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OpenAI for all your peripheral content needs:
🚨 Launching a new project with @TarunMangukiya
spell.tools
Spell is @OpenAI GPT-3 powered content generator for busy marketers who want to great content fast.
Spell helps you create blog outlines, ad variations, headlines, taglines, emails, and more!
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Don’t know the command-line invocation you need?
In addition to looking on Stack Overflow or reading the man page, you can now also use Auxiliary to ask your shell what to do in plain language:
Had so much fun building with GPT-3 this weekend. Introducing Auxiliary - a cli assist tool for all things command line
eg-
input: `compress current folder to arch.tar.gz`
output: `tar -zcvf arch.tar.gz .`
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Generating Flask apps from description:
#GPT3 generates your API
I have been exploring the capabilities of GPT-3. Built a demo app on top of it that lets you generate Flask (Python) API code just by describing the functions in English.
Check it out 👇
Thanks to @openai and @gdb for providing me access.
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