• 10 Posts
  • 25 Comments
Joined 4 months ago
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Cake day: March 25th, 2026

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  • This is one of the worst articles I’ve ever read. The author’s level of stupidity makes me regret the time I spent reading it.

    He’s so deeply entrenched in his own ignorance that he can’t see the signs of the broken system, the concentration of wealth, the erosion of privacy, and the loss of control over our data. Of course, he also overlooks piracy.

    His errors are so numerous and profound that any attempt to engage in a meaningful discussion would require him to come out of his stupor.


  • Thanks for the reading, the original post was somewhat unhinged. It was a very long debugging session for the alpha thing, the AI tooling weren’t helping. And I was losing my mind over my morning coffee. But I fixed the little details.

    I think the reality of the AI tooling for coding fall in the “middle”, it isn’t the 10x or 100x described by people, it’s closer to a 10%~15% performance increase in my humble view. With some better harness (like the PI that I discovered) I think this can be sightly better, but far from the 50%. I would say that if the increase in productivity decays over time, the amount of code generated I had to refactor and clean for most of the week.

    But for sure the Claude was a huge disappointment, very bad quality for it’s price, and super slow for the needs of a “start up mindset”, let’s put in this way.


  • Most of my complains are on the func (f *thing) name(w *http.Writer...), this is ok for small functions, but when you have 20 lines, where 10 of then uses single letters around are unbearable.

    Regarding the CLAUDE.md, didn’t work at all. I don’t know if the training material is so small in the GoLang that makes the model go crazy on specific details, or maybe the single letter was preferred since it consumes less tokens, either way, didn’t work at all. And I was using the Opus. I know that they released the Fable, but I can’t use since it’s coding related.

    The Qwen model I used a quantized version of it for a lot of the stuff, it’s super fast, but a 8 vRAM won’t hold it. On my Linux box I have 16vRAM and managed to hold it tight, but I notice that I was destroying the GPU for long running tasks, so I aborted.

    I do have a Blackwell in mind, with some luck I can manage to grab one and test a full precision DeepSeek V4 Flash in it. I already saw some people doing it in a single Blackwell, so should be a thing to have at home to play around, but this is a far future.


  • Edit: I did rewrote the post. Once I calmed my mind down I think it’s better now. At least my closed friends prefer this version of it.

    That was really insightful.

    And align with a close friend on the topic. So you know. I think I’ll rewrite this post in a less “aggressive” tone.

    When two of my close friends don’t like a post, there is a good chance that the post isn’t good enough to leave the oven.












  • This is a very sad contradiction that I see in the market right now. The pile of work, the endless list of “Backlog” on the board that never ended, and still firing 8k people because “AI” is doing the work. If the AI is a multiplier of 100x, the backlog could be cleaned before throwing everyone under the bus.






  • I didn’t hat the opportunity to write on this comment yesterday, so I’ll do it today. Freaking awesome idea. Right now when I need to make some more “complex” logic for the AI, I’m using the singleton for the CombatManager to keep it with its data. But having a resource for the combat_context would solve and make it able to have more isolated, and for sure create even a replicable combat (since each turn is “predictable”)… Love it. Thanks for the comment.