• 10 Posts
  • 32 Comments
Joined 1 year ago
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Cake day: July 14th, 2025

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  • Could be a comment indeed. It’s hard, or even impossible, to clearly decide where to put an information. There are some guidelines, but no absolute rules. Commit messages, comments, API docs, tickets, wikis, etc… all of them serve different purpose.

    • Comments are here to explain an implementation detail when code cannot be self-explanatory. They live as long as the code live (and are unfortunately not always updated). They are used when a developer arrives on that line of code.

    • Commit message are here to explain why something has been added/removed. What happen before, what happen after, why this solution was needed. They are tightly couple to the diff and generally don’t contain generic high-level information (unless commit is a design or architectural modification). They are used by the reviewer and 5 years later by someone that do a git blame to understand why this line was introduced and what happen if I remove it.

    • API Docs explain the behavior of an API, as seen from the outside. They should not explain the implementation, nor explain in which case and which part of the system they are used.

    • Tickets explain a user request. They detail who request this and for what purpose, but only from user point of view. No implementation detail.

    • Wikis are here to cover your ass so you can say “See, it was written in the wiki !”








  • Interesting point of view. You got my upvote 😉 I think many people took it 1st degree, so the many downvote you have.

    I’m personnaly not a big fan of natural language programing. Natural language is too ambiguous and subject of interpretation. So you have to give very long description of what you want to achieve. I often do the parallel with Mathematics. If you read Euclid’s_Elements’s definition for point, line, etc…, wording is extremly wordy and indigestible. But moderne formalism is much more concise and precise. Now with LLM and vibe coding, I have the impression that programming is evolving backward 😟

    The role of a developper has never been about writing code. The role of a developper is to formalize a problem. In a certain way, job of developper didn’t changed a lot since the last 50 years. My grandpa use to be developper on punch cards, and he had the sames problems than us today. How to translate accounting department request into series of instruction, how to define boundaries, etc…



  • Asking to cyptography experts. Would it be possible to flood a discussion with AI generated slope ? The discussion itslef would not be encrypted, but would be lost in millions of other generated discussion. A “private key” mechanism would be use to identify which message are part of your real discussion.

    I suppose this would be compliant with Chat Control, as message are not encrypted. But without private key, you won’t be able to identify which message are the good ones.




  • I’m wondering if it is that simple. Does the observer needs to have a “consciousness” ? Is a photon colliding with an atom is consider as the observer, or is it the scientist that lighted up the atom which is the observer ?

    If we takes Schrödinger cats, when does the measure happen ? When the sensor detect the radioactive particle ? When the cat realize its death ? When the box is open ? When someone actually looks inside the box ?

    That’s true questions, I’m trying to understand quantum physics since years, but the sources I find are either too simple ("The cat is both dead and alive, It means there are parallel universe !), either too complicated (directly jump to equations).



  • AI was trained on the whole code Humans have ever produced. Not the best code. Not code that is accepted as “good code”. Not even code that has been reviewed to filter crappy code. On any line written by a any human. So code produced by AI can be at best “average”. And depending on if you are a junior or a senior, globally average code can be good or bad relative to yours.

    Don’t forget that in any LLM traning data is the whole twitter history of @pussyslayer69…


  • I use AI for small, atomic, stuff that don’t bring any intellectual value to spend time for.

    Like “Typescrit. Find smallest element in an array”. “Python. Simulate keboard event to avoid computer going to sleep mode”. Or copy/past error message because I missed an import and I just want to know which one.

    I also use it sometime for well identified algorithm that could be interesting but are not the core of the problem. Like “C#. Clustering algorithm to group points together in a point cloud”.

    The generated code is catastrophic in term of performances/memory, but it’s good enough 80% of the time.

    But eveytime I tried to use AI for higher level stuff, or that require several interdependant concepts, it ended up into hallucination pit.

    • I have this problem
    • Cool ! Use solution A !
    • Doesn’t work
    • My Bad, use solution B !
    • Doesn’t exist
    • Indeed ! For this problem you should apply method A which will work !
    • (-_-)’




  • That’s a gross oversimplification.

    Off course it’s a gross simplification ! It’s a 1 line comment regarding one of the most fundamental theorem of modern mathematics. If some mathematicain came here, he would also say your comment is still a gross oversimplification. Stop nitpicking.

    You’ve previously assumed that the universe is a computable formal system.

    I’m paraphrasing what I understood from the 3 books I read. Turing machine is deterministic. If given the same inputs, you have the same ouputs. But Quantum mechanics is not. First, because you cannot put a quantum state exactly in the same state that another one (No-cloning theorem), then because quantum result are intrinsectly probabilistic and are not the consequence of a mechanical procedure. So, univers cannot be fully simulated by a finite Turing machine (and even maybe by an infinite one ?). This has been recently proven, and the proof rely on Godël’s theorem: https://arxiv.org/abs/2507.22950

    How would a quantum computer even work if it weren’t described by a formal system?

    Seems like there is still no formal system to fully describe Quantum Mechanics. There are mathematical models, but there are models, not exact description. And even Feynman said it may be impossible to fully understand quantum mechanics: https://www.youtube.com/watch?v=SczWCK08e9k

    I’m putting conditional everywhere because I’m not a physisist. If I’m wrong, please put sources.

    Then, there is the Orch OR’ theory which state that consciousness arises from quantum processes. This theory is currently heavily criticized, so for now it’s more a question of belief than proven statements. That’s why I started my first comment by:

    “'I’m quite convinced AGI cannot […]” and not by “AGI cannot […]”


  • I’m quite convinced AGI cannot be achieved on a Turing machine, whatever its size or complexity.

    Arguments against it are mainly based on Gödel’s incompleteness theorems and are described in books like “Minds and Machines - Alan Ross Anderson”, “Consciousness in the universe. A review of the ‘Orch OR’ theory” or even “Mind” from Alan Turing himself.

    I’m not claiming I understand all the arguments written in these books, but it seems that Gödel’s incompleteness theorems also apply to universe and consciousness. To briefly summarize Gödel’s incompleteness theorems, it states that a formal system cannot describe everything. There will always be thing which are beyond his reach. A Turing Machine is a formal system. This means that a Turing Machine will never be able to simulate our universe or replicate consciousness, and thus to replicate a human brain.

    However, it could be feasible with Quantum Computer that are not based on formal system.