I usually just use VS Code to do full-text searches, and write down notes in a note taking app. That, and browse the documentation.
I usually just use VS Code to do full-text searches, and write down notes in a note taking app. That, and browse the documentation.
Nah, LLMs have severe context window limitations. It starts to get wackier after ~1000 LOC.
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.
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 :)
I think I’ve seen calculations that we could explore every star in the galaxy with self-replicating probes in something like a million years; and other civilizations could do the same.
Donation, patronage, gift economy, mutual aid, or whatever you want to call it is fine by me. People can pirate a lot of proprietary software as well, yet people still pay.
Yet, people still pay for it.
The problem is that HP writes drivers and software for those things for Windows, but not for Linux, so Linux depends on random people to write software for those things for free (which often involves complex reverse-engineering). With Linux you need to make sure you use widely-used hardware that someone has already written support for (this is mostly applicable to laptops and peripherals, which often use custom non-standard hardware). There may be a way to fix your problems, but you’ll have to search forums or issue trackers for the solutions, and they’re probably pretty involved to get working correctly. The router crashing thing is probably just a coincidence though, or the laptop is using a feature that’s broken on your router.
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.
camelCase for non-source-code files. I find camelCase faster to “parse” for some reason (probably just because I’ve spent thousands of hours reading and writing camelCase code). For programming, I usually just use whatever each language’s standard library uses, for consistency. I prefer camelCase though.
I’ve heard high velocity rounds (such as rifle rounds) send a kind of shockwave through your body. Dunno if it’s true or not.
I think most projects left Sourceforge after they started putting adware into they’re downloads.
In the Texas counties I’m most familiar with, if you’re arrested and they don’t have a good case, they just keep resetting court dates for years instead of going ahead with the process. If you can’t afford a bond, you’ll be in jail that whole time (which pressures people to take plea deals), if you can secure a bond, you’re out, but with limited rights and a whole lot of hassles to deal with.
I’ve used them as a proxy for a web app at the last place I worked. Was just hoping they’d block unwanted/malicious traffic (not sure if it was needed, and it wasn’t my choice). I, personally, didn’t have any problems with their service.
Now, if you take a step back, and look at the big picture, they are so big and ubiquitous that they are a threat to the WWW itself. They are probably one of the most valuable targets for malicious actors and nation states. Even if Cloudflare is able to defend against infiltration and attacks in perpetuity, they have much of the net locked-in, and will enshittify to keep profits increasing in a market they’ve almost completely saturated.
Also, CAPTCHAs are annoying.
Haven’t tried Gemini; may work. But, in my experience with other LLMs, even if text doesn’t exceed the token limit, LLMs start making more mistakes and sometimes behave strangely more often as the size of context grows.