rdos

5 ms·

1.
by rdos 3mo ago
[flagged]
2.
by rdos 4mo ago
> Recently someone messaged me on Reddit about my post. I replied. They wrote again, I replied again. After a few messages I realized I was talking to an AI agent. My exact experience. The irony was that we were talking about AI agents
3.
by rdos 5mo ago
The Tools detail page is wrong, it's the one from last release, November 2025.
4.
by rdos 5mo ago
almost fell for it
5.
by rdos 5mo ago
I can't seem to change the colors of the pie chart, other than the predefined themes. But all of those are horrible for a pie chart.
6.
by rdos 5mo ago
> This bug is categorically distinct from hallucinations or missing permission boundaries I was expecting some kind of explanation for this
7.
by rdos 5mo ago
Sure, two 3060 can pull usable performance on an usable LLM, but a single one can't (yet). > 3x RTX 3060 less tgab the price of a 3090 Interesting, here it is around the same. 200-250€ for a used 12GB 3060 and 600-800 for a used 309
8.
by rdos 6mo ago
Was any text in the repo NOT written by AI?
9.
by rdos 6mo ago
14B even at Q4 isn't realistic for coding on a single 12GB RTX 3060. Token speed is too slow. After all they are dense models. You aren't getting a good MoE model under 30B. You can do OCR, STT, TTS really well and for LLMs, good
10.
by rdos 6mo ago
> llama.cpp (previously Ollama) I almost fainted
11.
by rdos 7mo ago
Interesting. Won't stuff like entity extraction suffer? Especially in multilingual use cases. My worry is that a smaller model might not realize some text is actually a persons name because it is very unusual.
12.
by rdos 7mo ago
Is it possible for such a small model to outperform gemini 3 or is this a case of benchmarks not showing the reality? I would love to be hopeful, but so far an open source model was never better than a closed one even when benchmarks were s
13.
by rdos 8mo ago
This is very interesting. Especially the last part where it shows gpt-5.2 and gpt-oss and their very similar and unique outcome of being 90%+ Serious. I tested this locally and got the same result with gpt-oss 120b. But only on the default
14.
by rdos 8mo ago
> Are you saying this from experience? Yes. I mostly work on Quarkus microservices and use cursor with auto agent mode. > we wouldn't give an AI some vague requirements and ask it to build something > we would discuss as a tea
15.
by rdos 8mo ago
I didn't read the blog yet because I clicked on cat pics and there weren't any!!!
16.
by rdos 8mo ago
LLM's are good at making stuff from scratch and perfect when you don't have to worry about the codes future. 'Research' can be a great tool. But LLMs are horrible in big codebases and multiple micro services. Also at mak
17.
by rdos 9mo ago
I don't want to sound rude, but what was your reason to go from scratch instead of joining an already established, open source effort? The likes of Cline, Roo, Continue, ...
18.
by rdos 9mo ago
nice, what's your approach? Graphs?
19.
by rdos 10mo ago
this is going straight into my funny folder
20.
by rdos 10mo ago
It won't load for me right now
21.
by rdos 10mo ago
Hello, would you add something to this list? I think it's pretty good > Over‑polished prose – flawless grammar, overly formal tone, and excessive wordiness. > Repetitive buzzwords – phrases like “delve into,” “navigate,” “vibrant
22.
by rdos 10mo ago
Hello, I am interested in this topic. What would you say were the tale tale signs of AI generated text for you? Apart from: - excessive em-dashes - useless words, verbosity
23.
by rdos 10mo ago
There would't be a problem if there was transparency and clear boundaries. The future is simply enjoying what you want, but we have to get there past these first steps.
24.
by rdos 10mo ago
Benchmarks show that open models are equal to SOTA closed ones but own experience and real world use shows the opposite. And I really wish they were closer, I run GPT-OSS 120b as a daily driver
25.
by rdos 11mo ago
casual workstation flex to kick off the blog
26.
by rdos 1y ago
https://www.removepaywall.com/search?url=https://www.ft.com/...
27.
by rdos 1y ago
my bad, but you know what I meant
28.
by rdos 1y ago
Anthropic has much more funding than that. Most recent one was at $13B at the one before was at $3.5B. Now imagine that GPT recieved $40B in one round!
29.
by rdos 1y ago
There is no point in using a low-bandwidth card like the B50 for AI. Attempting to use 2x or 4x cards to load a real model will result in poor performance and low generation speed. If you don’t need a larger model, use a 3060 or 2x 3060, an
30.
by rdos 1y ago
In that case you should run a model locally, this one for example: https://huggingface.co/ds4sd/docling-models

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