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Thought this was interesting. Across 160 teams of researchers, just about all failed to make good life outcome predictions on things like GPA, evictions, layoffs, and others. Data followed 4.5k families across 15 years, with 13k features (varied over time). Haven't looked at it directly yet, but will be turning the docs and data inside out... In the meantime, authors claim this as showing the limits of ML. Oh, and it's published in PNAS, so you know there's some big publication energy there.
https://www.pnas.org/content/117/15/8398
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Copilot for VS code.
ChatGPT for general use.
Haven’t used Gemini yet
Also Gemini has not open API yet
Very true, good call.
Gpt.
I pay for Gpt and Gemini. Gemini is still playing catch up and Google is holding back something's like 'file upload' where Gpt isn't right now. If I have a .ppt or a .pdf to review, I'm forced into GPT.
Chatgpt4, for 95%
Definitely Gemini, it’s outputs are truly unique among image generators https://www.vox.com/future-perfect/2024/2/28/24083814/google-gemini-ai-bias-ethics
Now it’s in controversy:)
ChatGPT for general use as well. DALL.E to troll my husband with weird creations.
Claude- been using this over ChatGPT because it’s much more conversational. You can limit this “non natural” language in chat gpt through prompts but it’s the default with claude
Your brain