Timnit Gebru’s Exit From Google Exposes a Crisis in AI
tl;dr: Google's firing of Timnit Gebru shows that "corporate-funded research can never be divorced from the realities of power." AI will reinforce discrimination unless action is taken: (1) Tech workers need to unionize as a "key lever for change." (2) We need protection and funding for research. (3) Regulation.
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DALL·E: Creating Images from Text
tl;dr: "We’ve trained a neural network called DALL·E that creates images from text captions for a wide range of concepts expressible in natural language."
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Experimenting With Automatic Video Creation From A Web Page
tl;dr: "we envision a future where creators focus on making high-level decisions and an ML model interactively suggests detailed temporal and graphical edits for a final video creation on multiple platforms."
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OpenAI Presents GPT-3, A 175 Billion Parameters Language Model
tl;dr: “We find that GPT-3 can generate samples of news articles which human evaluators have difficulty distinguishing from articles written by humans.”
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Giving GPT-3 a Turing Test
tl;dr: "GPT-3 is quite impressive in some areas, and still clearly subhuman in others." Kevin shows the questions he asks OpenAI’s new GPT-3 language model, along with its answers.
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Testifying At the Senate About A.I. - Selected Content On The Internet
tl;dr: Over the summer Stephan was asked by congress whether "algorithmic transparency" is a policy option with regard to regulating "persuasive internet platforms." He discusses the complexities involved and a couple of conceptual options.
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Responsible AI: Putting Our Principles Into Action
tl;dr: An outline of what Google is doing to educate and train its employees on the ethics of AI, including research papers and internal tooling.
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