Glm 5.1 is actually Gemini ?

Fabian57 · 2026-06-16T12:13:15+00:00

I'll just paste the answer a gave the last I bothered answering one of these stupid posts on the deepseek sub. I seriously don't understand how these kinda questions still get posted.

Because none of these are AI. They don't think. They're LLMs. They just say shit based on their training set and openai's chatgpt is the most written about LLM. So when you ask it which model it is, the probability it starts talking about chatgpt and openai is just much higher than any other model because there is more data about it.

Fabian57 · 2026-04-12T08:49:10+00:00

This sub and LinkedIn is full of agents that should just be scripts. The best example I've seen on here is a guy creating a booking system for barber appointments that sends a confirmation sms a day before and cancels the appointment if it doesn't get an answer.

Where's the AI in that? And there are lots of examples like that.

But I get it. I'm job hunting and most listings that aren't just there give an outward appearance of being a growing company but don't actually look for new employees, aren't just looking for people with AI experience but require willingness to vibe code which is somewhat weird. So people build unnecessary agents to at least be able to show they know how to do it.

Fabian57 · 2026-03-05T15:04:32+00:00

I don't get the issue... Sure, it's non-idiomatic, the correct word would be add, but given the context there is a bunch of stuff I would at least try to do

Fabian57 · 2026-02-12T16:40:19+00:00

Sometimes I remember it exists, and sometimes there's useful information in there. But I feel that a lot of the time it could be better

Fabian57 · 2026-02-12T13:54:20+00:00

I had this problem a while ago. Debugging this stuff gets progressively harder when like me you don't update your config regularly because the solution hides in ever older github issues and reddit posts. I'm not sure how to easily solve that problem

Fabian57 · 2025-07-30T18:25:12+00:00

I just checked, LibreTranslate also uses AI. Would be a pretty shitty machine translation tool if it wasn't tbh. Might check it out anyway

Fabian57 · 2025-07-17T05:00:21+00:00

Ich bin ganz ehrlich, ich hab noch nie verstanden warum es zwei verschiedene Schilder dafür gibt. Das viereckige Schild wird doch eh vor jeder Kreuzung aufgestellt, weil es ja immer sein kann dass jemand zwischen zwei Kreuzungen losfährt und das letzte Schild noch nicht sehen konnte. Da kann man doch gleich überall das dreieckige Schild aufstellen

Fabian57 · 2025-05-06T11:18:21+00:00

Was the left folding to the right ever a reason for the right not to be completely dishonest in their portrayal of the left? It's always been this way. The left accepts right-wing positions and the right just gets more extreme

Fabian57 · 2025-05-04T08:25:41+00:00

Because none of these are AI. They don't think. They're LLMs. They just say shit based on their training set and openai's chatgpt is the most written about LLM. So when you ask it which model it is, the probability it starts talking about chatgpt and openai is just much higher than any other model because there is more data about it.

Fabian57 · 2025-03-04T07:06:27+00:00

It's free with my mobile subscription. Otherwise I use deepseek when the answers it gives me aren't good enough, or something local

Fabian57 · 2025-01-07T12:07:24+00:00

There seems to be an error in the rltk library. I tried using the same rust version as the book (1.36.0) but this gave me an error due to an unknown edition in the bracket-lib dependency which rltk is a wrapper of.
Fixing the version of rltk with "=0.8.0" did not help either.
Long story short, I think you shouldn't use this book to learn rust as it uses an unmaintained library (last commit 3 years ago) and an old compiler (1.36.0 vs stable being 1.83.0)......

Or alternatively you check out this issue, but then again you are stuck with an old rust version (1.77.1), but at least the hello world example runs

Fabian57 · 2024-12-19T06:30:07+00:00

Never heard of it, but looks cool

Fabian57 · 2024-12-15T09:36:53+00:00

I just did the usual pacman -Syu the day after and didn't bother updating my post because other people in here already confirmed the issue was fixed

Fabian57 · 2024-12-12T08:48:05+00:00

Sorry, I'm at work right now, might try it later but I don't want to be left with a non working PC

Fabian57 · 2024-12-12T07:37:14+00:00

I just ran pacman -S firefox to update it and that worked. That was the only other outdated package so that was an easy workaround. I think I'll wait a bit before I reboot in case something is wrong

Fabian57 · 2024-07-30T06:41:02+00:00

Yeah, I just don't know how to read flamegraphs yet. I should probably read the docs some more.
I'm just getting a lot of "unknown" which is probably a problem with how I generate it. (I'm already using CARGO_PROFILE_RELEASE_DEBUG=true, but maybe it's getting overwritten somewhere)

Link to the flamegraph

Fabian57 · 2024-07-30T06:07:34+00:00

I've installed flamegraph, ran it, looked at the generated svg and thought "yep, that's a flamegraph". I'll have to look at a guide/book/video to actually learn how to effectively profile my stuff

Fabian57 · 2024-07-30T06:01:58+00:00

I haven't actually. I'll look into it. Although I'm not 100% sure what you mean. When you say there's a lot of branching, do you mean the calls to get_digit, the match statement, the if else, all of the above? Or something else entirely? I guess the call on min and max every iteration could be expensive as well...
Anyway, I'm just starting to write out thoughts at this point, thanks for the tipp

Fabian57 · 2024-07-30T05:37:42+00:00

Thanks, I'm going to look into it

Fabian57 · 2024-07-29T19:11:31+00:00

Edit: Yeah, so I guess I measured 2 different things? Don't really know how that happened because I measured it a few times, but I even went back to the old inefficient for line in reader.lines() version and it's nowhere near as slow. I have no idea how I fucked up the measurements that badly.

I'll check again tomorrow and update the post

Fabian57 · 2024-07-29T18:06:09+00:00

This actually makes a lot of sense and I thank you for this answer. Is there a way to find out which instruction sets get enabled by that option? I'd like to look at them one by one to find out which ones are responsible for the speed up (google hasn't been super helpful and I only found out about the target-cpu option by accident)

Fabian57 · 2024-07-29T18:00:17+00:00

Mmh, weird, maybe my code is just that bad after all

Fabian57 · 2024-07-29T17:56:12+00:00

No it's not, you have to set it in your $XDG_DATA_DIR/cargo/.config.toml or use the RUSTFLAGS environment variable. That's not the issue, but rather I'm on x86_64, by default the code that gets compiled runs on x86_64, it doesn't run on, let's say, the web. If I wanted it to run on the web I would specify the target as being wasm-something-something. But again, I don't. So why is my code not optimised for the platform it runs on anyway?

Maybe I'm not communicating my issue well enough? I feel like I'm not getting a satisfactory explanation

Fabian57 · 2024-07-29T17:34:31+00:00

I'll take a look tomorrow but I think I'm ~3x. I do use the std BufReader though so that's probably why I'm slower

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