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will_a113

will_a113@lemmy.ml
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A “0 books” category would make this a lot more telling, unless “Less than 5” explicitly means 1-4

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Stay strong, brother.

  • another Firefox user
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FWIW the Raptor 3 here does not include the turbopump mechanism. It would look pretty much the same as the raptor 2 (which does have the pump attached).

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After 3 decades and about 30k miles of running I have 2 hips and 2 knees that could use this. I’d be a self-contained A/B test.

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I think they say this because they’re in their 30s now and would prefer to still be in their 20s (saying that as a 40 is the new 30 guy)

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Putting aside why you’d want to do this, it’d be pretty easy, actually. You’d still use a big model like GPT4 or Claude as your “base” but you would do two things:

  • Give it a knowledge base using your conversatons. You can manually vectorize them into a key-value database like Pinecone and build yourself an agent using a toolchain like Langchain, or just use a service (OpenAI Agents lets you upload data from your browser)
  • Have one of the big LLMs (with a large context size) ingest all of those conversations and build out a prompt that describes “you”

you would then

  • Feed that generated prompt (with your own edits, of course) back into either your custom Langchain agent or OpenAI Agent
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My favorite Elon Musk conspiracy theory is that he’s planning to intentionally blow up the starlink satellites once he’s on his way to mars to Kessler syndrome earth for a few years so he can set up his kingdom there.

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That can happen if you’re using cloudflare DNS (1.1.1.1) or Google (8.8.8.8) in my experience.

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This is a good, short read. For those who are unfamiliar with the AGPL license that the author proposes we all start using, the main difference (and I am not a lawyer) is that under the AGPL, the source code including any modifications must also be made available to all users interacting with the software over a network. This prevents companies from making proprietary versions of AGPL software that are only accessible as a web service, which is one of the big ways that corporations are able to profit from GPL source code contributions these days.

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Yup, typically I just mentally multiply by 1000 (nice round numbers). But obviously a 100MW farm in the Sahara is going to produce more in a year than the same 100MW farm in Germany. It’d be cool to see a list on a global scale that showed a table and maybe generation vs demand curves for the area they serve. Maybe I’ll put it on my “projects I’ll never get to” list.

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