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Main Paineframe posted:Yeah, I'm talking about the specific conversation, not the thread title. We just went from someone talking about ChatGPT doing chemistry to someone linking papers about ML drug discovery models as proof that it's plausible. That's a real apples-and-oranges comparison. The GPT-4 paper includes some discussion of its capability to use outside chemistry tools in the context of potentially risky emergent behaviors - specifically the capability to propose modifications to a chemical compound to get a purchasable analog to an unavailable compound. See section 2.10 (starting pdf page 55) in the context of section 2.6. I don't understand the chemistry but I'm guessing this is what the tweet was about, layered through 3-4 layers of the grapevine. https://cdn.openai.com/papers/gpt-4.pdf
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# ¿ Mar 27, 2023 20:10 |
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# ¿ May 13, 2024 20:43 |
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Tree Reformat posted:Anyway, in actual AI chat, this tweet has been making the rounds: The paper says that's per 1000 inferences. Reading 2.9 kWh per 1,000 in the paper = 10k Joules each ~ 350W@30 seconds. Paper doesn't say specifically how many inferences per generation or how those are specifically defined esquilax fucked around with this message at 20:27 on Dec 1, 2023 |
# ¿ Dec 1, 2023 20:20 |
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Mega Comrade posted:Photoshop didnt have copyrightable material fed into it though so I don't think the comparison works here. Photoshop is worlds closer to traditional art creation than AI image generators are. Alternatively, a regulatory capture situation could result where regulation on AI will gradually and continually grow more expensive so that only the largest AI companies will be able to effectively comply, effectively banning any new competitors.
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# ¿ Dec 23, 2023 16:09 |