• 8 Posts
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Joined 3 years ago
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Cake day: June 20th, 2023

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  • While I had similar concerns, I do think about this a fair bit now. A nontrivial math problem was proved by Aristotle (in Lean, a proof assistant, so we’re relatively sure it’s correct). Alpha Evolve then generalized. GPT pro did some writing and visualization work.

    It’s basically the quality of work I aspire to. Slightly cheaper, and substantially faster. Not the strongest PhD, but a solid graduate student.




  • No. I’ll name three.

    Pleias, an LLM family of models that train on the common corpus, compliant with EU copyright and fair use law. They filtered a public domain dataset for racism and other bias’s, and released the results.

    common canvas is a (suite) of text-to-image models trained on a data they know is well sourced.

    Apertus, public ai is a chat-gpt style bot made in collaboration with the swiss government, with a commitment to using only training data that complies with swiss fair use. They’ve chosen a model design that let’s them remove training data which is improperly labeled, or becomes no longer accessible (ie, by changing robots.txt).

    Not to mention the hundreds of models academics in ML have trained using things like open diffusion and public datasets (see also these hobbyists).

    They don’t have advertising budgets (generally). But you see a steady stream of open models on arXiv.



  • Apologies if my language is unclear. I’m takling about post vaccine, 2023+. Today rates of mortality are close to, say, 2018 rates as far as I’m aware.

    My reasoning: there are lots of folks who do not keep boosters current, do not try to avoid disease. They treat it as a common cold. I would expect the current mortality numbers to reflect it if this was a mistake. (Edit: eg, the cdc data show essentially the same mortality rate in 2023 as 2004)





  • The authors of the article and the publishing platform are NOT the people sowing this division or profiting off identity warfare.

    The conversation is a platform where essentially all articles are written by scientists for a broader audience. They publish all sorts of scientific work, including several recent pieces on specifically male issues and masculinity. We know they aren’t optimizing for clicks because they don’t get many.

    The authors here did a study on exactly the population you are most concerned about, selected by domestic violence. Surely you agree that men being prosecuted for spouse abuse have been failed by society; exactly the people who are falling through the cracks. Here we have scientists who are giving data and trying to find ways to help, and that’s who you want to blame for this political landscape? Really?

    You can nitpick the framing, but I would blame funding agencies for that.