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Posts
7
Comments
73
Joined
3 yr. ago

  • Python is quite slow, so will use more CPU cycles than many other languages. If you're doing data-heavy stuff, it'll probably also use more RAM than, say C, where you can control types and memory layout of structs.

    That being said, for services, I typically use FastAPI, because it's just so quick to develop stuff in Python. I don't do heavy stuff in Python; that's done by packages that wrap binaries complied from C, C++, Fortran, or CUDA. If I need tight-loops, I either entirely switch to a different language (Rust, lately), or I write a library and interact with it with ctypes.

  • I don't think anyone is advocating for a "slap on the wrist." The U.S. criminal justice system is the most draconian in the West, and doesn't do "slaps on the wrist," unless you're in a particular economic or social classes.

    IMO, ideally, he would be sentenced for as long as it takes to rehabilitate him. Could be 5 years, 10 years, 30 years, or never, IDK, I'm not a psychologist. But, the U.S. prison system isn't really designed for rehabilitation either.

  • Production AI is highly tuned by training data selection and human feedback. Every model has its own style that many people helped tune. In the open model world there are thousands of different models targeting various styles. Waifu Diffusion and GPT-4chan, for example.

  • I think you have your janitor example backwards. Spending my time revolutionizing energy productions sounds much more enjoyable than sweeping floors. Same with designing an effective floor sweeping robot.

  • AI are people, my friend. /s

    But, really, I think people should be able to run algorithms on whatever data they want. It's whether the output is sufficiently different or "transformative" that matters (and other laws like using people's likeness). Otherwise, I think the laws will get complex and nonsensical once you start adding special cases for "AI." And I'd bet if new laws are written, they'd be written by lobbiests to further erode the threat of competition (from free software, for instance).

  • The search engine LLMs suck. I'm guessing they use very small models to save compute. ChatGPT 4o and Claude 3.5 are much better.

  • C# is actually pretty nice. Ecosystem, not so much, but D doesn't really have one anyways :)

  • Yeah, the image bytes are random because they're already compressed (unless they're bitmaps, which is not likely).

  • There's also Delecta Ltd, which is an Australian sex toy maker and a mining company.

  • If you're talking about naive bayes filtering, it most definitely is an ML model. Modern spam filters use more complex ML models (or at least I know Yahoo Mail used to ~15 years ago, because I saw a lecture where John Langford talked a little bit about it). Statistical ML is an "AI" field. Stuff like anomaly detection are also usually ML models.

  • Their line goes up when they show they're investing in AI, and it goes down when it looks like they're falling behind or not investing enough in it.

    TBH, a lot of times I find myself interacting with ChatGPT instead of searching. It's overhyped, but it's useful.