We all want safe, responsible AI research. The first step is not misrepresenting the significance of your results to the public, not obfuscating your methods, & not spoon-feeding fear-mongering press releases to the media. That's our 1st responsibility. https://www.businessfast.co.uk/elon-musks-openai-builds-artificial-intelligence-so-powerful-it-must-be-kept-locked-up-for-the-good-of-humanity/ …
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How is it not misrepresentation to take best-of-25 samples from cherrypicked prompts and tell the public, "the AI wrote this, this is what AI does now"? BTW I have a trading algo that does 12,000% per year* (*evaluated with best-of-25 daily trades)
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How is it not needless fear mongering and hype to tell the journalists, "we'll keep the AI secret because releasing it would be too dangerous, trust us", when the actual model is an incrementally better LM? Where's the threat model? Etc. It's layer after layer of issues.
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All good points. I think going forward we will be more transparent/proactive in our outreach to the rest of the AI community on this, and weight that more. At the time, it seemed like we had a few objectives to satisfy, inc. raising awareness of this broader class of systems...
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...for which a wider set of stakeholders is needed than the AI community (a point made in the report on malicious uses of AI last year), though it does seem like we maybe got the balance/ordering wrong, and didn't articulate the GPT-2 vs GPT-2+/LMs distinction as well as possible
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@jeremyphoward has a good discussion about this if you haven’t seen ithttps://twitter.com/jeremyphoward/status/1097234160337412096?s=21 …
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It's a good place to raise awareness, to ensure that discussion involves a broader community, and to ensure that people are aware what the technology is capable of
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