[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…
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…
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…
> 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…
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…
> 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…
I didn't read the blog yet because I clicked on cat pics and there weren't any!!!
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…
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, ...
nice, what's your approach? Graphs?
this is going straight into my funny folder
It won't load for me right now
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,”…
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
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.
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
casual workstation flex to kick off the blog
[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…
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…
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…
> 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…
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…
> 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…
I didn't read the blog yet because I clicked on cat pics and there weren't any!!!
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…
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, ...
nice, what's your approach? Graphs?
this is going straight into my funny folder
It won't load for me right now
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,”…
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
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.
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
casual workstation flex to kick off the blog