I don’t think there is one currently, but that’s a potential use.

I love old hardware. It took me eleven years to finally decommission a top-tier CPU I got in 2015. And that’s only because I got an extra CPU and motherboard from a work upgrade.

The only thing I can think of is AI video game upscalers. Other than that, yeah, it’s a waste of silicon.

I really do not want an AI doing all of those things for me. That would be like giving a four year old full access to my computer.

I’ve had pretty good experiences with AliExpress. The few things that didn’t come or were wrong, they gave me a refund for.

Since they renamed Microsoft Office to Copilot, they have millions of Copilot users. It’s almost as popular as Google+ when Google made all Gmail users Google+ users.

I honestly think there are very few things that make sense as a subscription service. Basically all software that runs on your computer (Adobe, Office, etc) make 0 sense being a subscription. Honestly, most web software could just be made to run on your computer. Things like email, cloud storage, phone service, that have ongoing non-development related costs make sense.

Media is the worst offender. Just let me pay for a download and watch/listen to something.

You want magnets that powerful next to your face?

That is the scariest guitar I’ve ever seen.

Remember to back up everything before resizing your partitions. It’s so easy to lose all your data when you do that.

I like to think Hell is just a big constant party. I mean, all the best people are there, and Satan seems like a pretty chill guy in the Bible. I bet his parties are just non-stop fun.

If you believe in what the Bible says, Christians are in Heaven. This list includes Hitler, much to the dismay of many Christians I know who have rewritten the rules in their mind in order to exclude him. I don’t know if you’ve ever hung out with a huge group of exclusively Christians, but it’s not exactly what I would describe as “fun”.

That doesn’t sound right unless you’re running the tape at faster than usual speed. Even high quality reel to reel tape is usually running at a speed that tops out around 20KHz. There’s also no reason to record frequencies much higher than that unless you’re trying to record ultrasound. A 96KHz sampling rate can record sound up to 48KHz. Considering even the best human hearing can’t hear above about 24KHz, there’s no reason to use that for music. It’s only if you’re recording something not meant for human hearing, like stress fractures, electric noise, or bird song, that you’d use a recording with that sampling rate.

Ok, yeah. I get you. It definitely is subjective, and I like tape. :) I have a huge tape and vinyl collection. And I have an all-analog setup to listen to it. Tube pre-amp and tube amp. For me, I know it’s less accurate audio, but I want that less accurate audio.

Analog audio not being sampled doesn’t really matter. It’s like film, it can’t have infinite “resolution”. It’s the size of the granules on the tape and the speed the tape is moving that determines how good audio can sound. Grain size is kind of equivalent to floating point resolution, and tape speed is kind of equivalent to sampling rate. In order to get as true-to-life audio reproduction as 32-bit 96KHz PCM, you’d need absolutely wildly expensive tape and equipment. I’m not even sure if it’s physically possible.

When you say by definition it includes “more data”, you have to think about what that data is. There’s signal, the stuff you want to record, and there’s noise, the stuff that gets on there that you didn’t want. The higher precision a digital recording is, the higher the signal-to-noise ratio. Unlike analog tape, there’s not really a theoretical upper limit (just the limits of your recording hardware). If you record with a high enough precision, you can record incredibly quiet or incredibly loud sounds, way out of the range of the best audio tape. Same with frequencies. The faster your sampling rate, the higher the frequencies you can record. And unlike tape, it’s not going to shred itself to pieces if you go really really high.

Things sound “better” when you introduce noise because people like analog recordings. Not actual analog recordings, mind you, just the appearance of analog recordings. It has nothing to do with audio quality, it’s just vibes. It gives good vibes.

The debate is basically bogus. There are very few analog audio formats that can reproduce an audio signal more accurately than a CD, and even then, that’s only because CDs use a 44.1KHz sampling rate and 16bit encoding. There is no analog audio format that can rival a 32bit 96KHz PCM recording, and that’s not even the best digital recording available. CD chose 44.1KHz and 16bit because it’s nearly perfect for the range and sensitivity of human hearing. It’s only when you need to record ultrasound or extremely low amplitude sound that you would use something better.

Fun fact: if you add some hisses and pops and a little bit of compression to CD audio before playing it, some people (me included) will say it sounds better.

A VHS physically can’t be better than CD audio. The tape would have to move faster than the VHS equipment is designed for. The Hi-Fi VHS audio system can come close to CD’s frequency range, but there is still about 70 dB signal-to-noise (compared to CD’s 98 dB), and there is always loss when writing to and reading from analog tape. CD is not destructively read, so any signal up to 22KHz will be reproducible the exact same way every time.

Hi-Fi VHS audio is nearly as good as CD audio (the best consumer analog audio format, in fact), but it’s not as good. The simple fact is that an appropriately comparably sampled digital PCM recording will always beat an analog recording. You can read about the Nyquist-Shannon theorem for an actual proof, but basically CD audio is near-perfect for almost every human’s hearing range (most people can’t hear above 20KHz).

Feel free to try. Here’s the library I use: https://nymph.io/

It’s open source, and all the docs and code are available at that link and on GitHub. I always ask it to make a note entity, which is just incredibly simple. Basically the same thing as the ToDo example.

The reason I use this library (other than that I wrote it, so I know it really well) is that it isn’t widely known and there aren’t many example projects of it on GitHub, so the LLM has to be able to actually read and understand the docs and code in order to properly use it. For something like React, there are a million examples online, so for basic things, the LLM isn’t really understanding anything, it’s just making something similar to its training data. That’s not how actual high level programming works, so making it follow an API it isn’t already trained on is a good way to test if it is near the same abilities as an actual entry level SWE.

I just tested it again and it made 9 mistakes. I had to explain each mistake and what it should be before it finally gave me code that would work. It’s not good code, but it would at least work. It would make a mistake, I would tell it how to fix it, then it would make a new mistake. And keep in mind, this was for a very simple entity definition.

I played around with it a lot yesterday, giving it documentation and asking it to write some code based on the API documentation. Just like every single other LLM I’ve ever tried, it just bungled the entire thing. It made up a bunch of functions and syntax that just doesn’t exist. After I told it the code was wrong and gave it the right way to do it, it told me that I got it wrong and converted it back to the incorrect syntax. LLMs are interesting toys, but shouldn’t be used for real work.

Why would they ask consumers what they want when they can tell consumers what they want. What are you gonna do, move to Linux?

It’s integrated graphics so it uses up to half of the system RAM. I have 96GB of system ram, so 48GB of VRAM. I bought it last year before the insane price hikes, when it was within reach to normal people like me.

I’ve tried it and it works. I can load huge models. Bigger than 48GB even. The ones bigger than 48GB run really slow, though. Like one token per second. But the ones that can fit in the 48GB are pretty decent. Like 6 tokens per second for the big models, if I’m remembering correctly. Obviously, something like an 8b parameter model would be way faster, but I don’t really have a use for those kinds of models.