rdos

[flagged]

> 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

The Tools detail page is wrong, it's the one from last release, November 2025.

almost fell for it

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.

> This bug is categorically distinct from hallucinations or missing permission boundaries

I was expecting some kind of explanation for this

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 3090€.

Was any text in the repo NOT written by AI?

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 use cases are classification, summarization and extraction with <10B models.

> llama.cpp (previously Ollama)

I almost fainted

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.

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 showing that.

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 'medium' reasoning effort. When I used 'low' I kept getting more playful responses with emojis and when I used 'high' I kept getting more guessing responses.

I had a lot of fun with this and it provided me with more insight than I would have thought.