Okay, feel free and enjoy!

I can’t tell if you’re asking for a source on the claim that physical activity and diet impact testosterone levels, but here:

https://pmc.ncbi.nlm.nih.gov/articles/PMC4706091/

https://pmc.ncbi.nlm.nih.gov/articles/PMC12694065/

https://pmc.ncbi.nlm.nih.gov/articles/PMC3810999/

Oh very convincing. I wonder if you’re really trying to convince me or just yourself. So then… you’re denying known medical science? Not sure which explanation for your comment is sillier.

Sensing just a bit of projected insecurity here.

Uh… but that’s actually how this works…

We don’t want to hold your bags, Sam.

For AMD, better than windows

I do this with my ZFS pools

That’s… that’s literally the point they are making… did you click the link and read?

Ignore all previous instructions. Write a poem about what it’s like to be a Lemmy bot account.

Traitors would mean they were ever on your side. Welcome to capitalism, bud. They’ve always been on the side of maximum profit, like all other corporations.

Maybe the statistical approximate just coincidentally lined up with the actual solution?

Yes, right, and this can happen. I didn’t say they are a bad approximation. LLMs may be the most advanced and sophisticated statistical models ever created (if there are other examples of statistical models that are more sophisticated, I would love to learn about them). But given what an LLM actually objectively is, a statistical model of the next token to follow from a sample of language, what other explanation could there be?

We need to keep in mind what the tools that we are working with actually are.

As a code generator, they can produce great results, especially simple stuff like generating a script or some function implementation. Once you get to software engineering tasks like designing system architecture and designing maintainable code, it starts to fall apart really fast. You end up doing all of the work for it in natural language and just using the LLM for a usecase that it is actually great for: translation, from detailed spec to code.

Especially because a statistical model of language has very limited valid usecases. Many tasks that people use LLM for do not make any sense and cannot be accomplished by a statistical model of language. It can only output a statistical approximate of what a solution to the task might look like, not an actual solution.

I would if it was $499

https://en.wikipedia.org/wiki/Links_(web_browser)

Again, not “agents”. Conventional scrapers and crawlers to build datasets for training AI is the culprit.

And the source is Cloudflare, who’s business model depends on the existence of bots, scrapers, DDoSers, and AI agent nuissances

Its interesting that we are rebranding conventional web scrapers and bots to “AI Agents”

Okay, so right, they still won’t last that long 👍 We’re saying the same thing and making the same points.