First, the idea: I wanted a story showing the magic of AI to children. I gave ChatGPT a prompt and went back and forth with it to refine details and get inspiration for the illustrations. It was like having a constant brainstorming partner who I could ping pong ideas off of. pic.twitter.com/nYsoAF2HzZ
— Ammaar Reshi (@ammaar) December 9, 2022
I enquired ChatGPT to hallucinate more on the Huang's paper using the "pretend-to-be-a-researcher" trick, but it worked only partially. But after asking for publications that would cite this paper, ChatGPT eagerly hallucinated more content and citations. None of them exist. pic.twitter.com/SpSlUYt3aV
— Teresa Kubacka (@paniterka_ch) December 5, 2022
Then I cross-checked the citations from the first shortlist and none of those existed either. Overall, all the citations could have existed, as the titles seemed close enough. pic.twitter.com/A7EUr4Ya0Y
— Teresa Kubacka (@paniterka_ch) December 5, 2022
3/Building large language models that can accurately decide when to be confident and when not to will reduce their risk of misinformation and build trust.
— Andrew Ng (@AndrewYNg) December 13, 2022
Rakshit, who had zero programming knowledge, used this feature to create a Twitter bot. https://t.co/fgLf8akZJ6
— Aleksandr Volodarsky ???? (@volodarik) December 8, 2022
also, once a technological revolution starts, it cannot be stopped. but it can be directed, and we can contintually figure out how to make the new world much better.
— Sam Altman (@sama) December 18, 2022
Inside story of the National Stock Exchange’s amazing success, leading to hubris, regulatory capture and algo scam
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