

We need some combination of:
- Different incentives for contributors; companies stop caring about regular code contributions.
- Strict submission criteria that’s very cheap to enforce.
These are human problems, but annoying difficult ones.


We need some combination of:
These are human problems, but annoying difficult ones.


I do not think the bubble popping will fix this.
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.


I do have a favorite for video game characters of the other gender. But I didn’t pick it until quite late in life, and I’m not sure it’s a good name for gender-bent me irl.
Parents had a name for a AFAB child iirc; though I’ve forgotten it.


You get a good number of data hoarders after a picture provider goes down/enshittifies. Yes, they’ll lose at least one large collection of photos. But I suspect many folks realize they could be banned, lose their account, etc, and take some effort to save things that matter.


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.


Larger family. Regular extended breaks to work on projects important to me. A news cycle that cares more about policy than the tragedy of the hour.


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)


Diamond Open Access, and the writing seems reasonable: study
I’ll note that, afaict, the kind of long term symptoms they describe aren’t acutely dangerous: We still have lots of covid infections today and not much increased mortality anymore. (Edits for clarity)
Could a medical professional chime in? Does the study justify the rhetoric in the OP link?
As already indicated; energy and water use is not so big. It costs substantially more data center time to store and stream high def film then to generate even hundreds of images. Generation itself is very resource cheap compared to human actors and a film crew.


Remember, finding study cohorts is hard.


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.


This study suggests that reduced sex drive is the most common side effect, but it impacts about 1/10. I can find no evidence that it is permanent (though see comments below!); stopping the drug should return most folks to normal.
Compare this treatment to incarceration: would you prefer to be less horny and free, or in jail? See also the patient reports in the article, talking about finally having some control in their lives.


It’s a whole suite of issues we blame the victim for; there are a good number of women in these buckets too. I suspect the male focus here has more to do with domestic violence.


That’s kinda steryotyping; there are models trained on public domain only content for example. Plenty of academic and non-profit providers with open datasets.


Ah. Not free. Just trying to cost compete? Though I’m not sure this does that.
Zimage(sp?) gives something close to what I want in 2 seconds, no searching around, and definitely will generate cthulu wearing reindeer horns.


I think you are right about what causes things to go bad irl, but I actually most dislike what these reactions do to media. And there I think emotional regulation would not be sufficient for better results. Disliking would need to not be engaging in the way it is.


I deeply hate the notion that hating things is cool, edgy, or more interesting than liking things.


Not my experience? Search and community have both gotten worse though, and these were great for finding good stuff.
Yes it’s the church; lots of missionaries go international. Most lds teens get the document ahead of their call. And more will vacation abroad if a parent has an international mission.