Macuyiko

قبل 7 أيامdiscuss

This reminded me of coming across LeoCAD (https://www.leocad.org/ - first release in 1997!) as a kid and playing around with it for endless nights, wondering how close it was to whatever tool Lego was using in-house.

Looking at screenshots of older versions gave a burst of nostalgia.

Macuyiko

قبل 20 يومًاdiscuss

There is - to the standard Quake .map format Neverball uses.

Macuyiko

قبل 3 أشهرdiscuss

Reminded me strongly of the paper "Deep Learning is Not So Mysterious or Different" from a year ago: https://arxiv.org/abs/2503.02113

Macuyiko

قبل 5 أشهرdiscuss

Things such as AirLLM, or good old llama.cpp.

Macuyiko

قبل 5 أشهرdiscuss

The input attribution part is interesting though, but I do wonder to which extent that is just assigning some sort of SHAP values to the input tokens, in which case it should be pretty portable to any kind of model.

Macuyiko

قبل 5 أشهرdiscuss

What I typically end up doing is just recalc the slug and see if it matches the provided one. If it doesn't redirect to the most up to date slug matching the id. Though who knows if those old SEO patterns still matter these days...

Macuyiko

قبل 5 أشهرdiscuss

My personal feel (completely subjective) is that during RLHF humans are incredibly sensitive to this pattern, especially when talking about personal or emotional issues. Any reply in the form of "it's not you, it's them" is such a dopamine hit that the LLMs started applying it for everything else.

Macuyiko

قبل 7 أشهرdiscuss

Oh I see what you mean now, indeed:

    Score: 7
    ~~~~~~
    ~····~
    ~·~~·~
    .#..#.
    ......
    ..#...
    .#H#..
    ..#...

However, I think that you do not need 'time' based variables in the form of

    reachable(x,y,t) = reachable(nx,ny,t-1)

Enforcing connectivity through single-commodity flows is IMO better to enforce flood fill (also introduces additional variables but is typically easier to solve with CP heuristics):

    Score: 2
    ~~~~~~
    ~....~
    ~.~~.~
    ......
    ......
    ..##..
    .#H·#.
    ..##..

Cool puzzle!

Macuyiko

قبل 7 أشهرdiscuss

Good point. I don't think the puzzles do this and if they would, I would run a pre-solve pass over the puzzle first to flood fill such horseless pockets up with water, no?

Macuyiko

قبل 7 أشهرdiscuss

Yes. CP SAT crunches through it in no time, but of course larger grids would quickly make it take much longer.

See

https://gist.github.com/Macuyiko/86299dc120478fdff529cab386f...

Macuyiko

قبل 8 أشهرdiscuss

Late, but reading all of the replies, and speaking from my own observation using Claude, Codex, as well as (non-CLI) Gemini, Kimi, Qwen, and Deepseek...

It's fun how we are so quick to assign meaning to the way these models act. This is of course due to training, RLHF, available tool calls, system prompt (all mostly invisible) and the way we prompt them.

I've been wondering about a new kind of benchmark how one would be able to extract these more intangible tendencies from models rather than well-controlled "how good at coding is it" style environments. This is mainly the reason why I pay less and less attention to benchmark scores.

For what it's worth: I still best converse with Claude when doing code. Its reasoning sounds like me, and it finds a good middle ground between conservative and crazy, being explorative and daring (even although it too often exclaims "I see the issue now!"). If Anthropic would lift the usage rates I would use it as my primary. The CLI tool is also better. E.g. Codex with 5.1 gets stuck in powershell scripts whilst Claude realizes it can use python to do heavy lifting, but I think that might be largely due to being mainly on Windows (still, Claude does work best, realizing quickly what environment it lives in rather than trying Unix commands or powershell invocations that don't work because my powershell is outdated).

Qwen is great in an IDE for quick auto-complete tasks, especially given that you can run it locally, but even the VSCode copilot is good enough for that. Kimi is promising for long running agentic tasks but that is something I've barely explored and just started playing with. Gemini is fantastic as a research assistant. Especially Gemini 3 Pro points out clear and to the point jargon without fear of the user being stupid, which the other commercial models are too often hesitant to do.

Again, it would be fun to have some unbiased method to uncover some of those underlying persona's.

Macuyiko

قبل 10 أشهرdiscuss

On the homepage it says "Sinmple" above "Export SQL", fyi

Macuyiko

السنة الماضيةdiscuss

A coin measurer is still my goto explanation. Especially with most models having an inset for the coin to rest on / fit in. The hole itself is then just to quickly/easily get the coin out again with your finger.

With so many different coin sizes and types in the empire, I think this makes most sense.

Wikipedia also mentions this:

> Several dodecahedra were found in coin hoards, suggesting either that their owners considered them valuable objects, or that their use was connected with coins — as, for example, for easily checking coins fit a certain diameter and were not clipped.

Macuyiko

السنة الماضيةdiscuss

I've noticed that puzzles that can be solved with CP-SAT's presolver so that the SAT search does not even need to be invoked basically adhere to this (no backtracking, known rules), e.g.:

    #Variables: 121 (91 primary variables)
      - 121 Booleans in [0,1]
    #kLinear1: 200 (#enforced: 200)
    #kLinear2: 1
    #kLinear3: 2
    #kLinearN: 30 (#terms: 355)

    Presolve summary:
      - 1 affine relations were detected.
      - rule 'affine: new relation' was applied 1 time.
      - rule 'at_most_one: empty or all false' was applied 148 times.
      - rule 'at_most_one: removed literals' was applied 148 times.
      - rule 'at_most_one: satisfied' was applied 36 times.
      - rule 'deductions: 200 stored' was applied 1 time.
      - rule 'exactly_one: removed literals' was applied 2 times.
      - rule 'exactly_one: satisfied' was applied 31 times.
      - rule 'linear: empty' was applied 1 time.
      - rule 'linear: fixed or dup variables' was applied 12 times.
      - rule 'linear: positive equal one' was applied 31 times.
      - rule 'linear: reduced variable domains' was applied 1 time.
      - rule 'linear: remapped using affine relations' was applied 4 times.
      - rule 'presolve: 120 unused variables removed.' was applied 1 time.
      - rule 'presolve: iteration' was applied 2 times.

    Presolved satisfaction model '': (model_fingerprint: 0xa5b85c5e198ed849)
    #Variables: 0 (0 primary variables)

    The solution hint is complete and is feasible.

    #1       0.00s main
      a    a    a    a    a    a    a    a    a    a   *A* 
      a    a    a    b    b    b    b   *B*   a    a    a  
      a    a   *C*   b    d    d    d    b    b    a    a  
      a    c    c    d    d   *E*   d    d    b    b    a  
      a    c    d   *D*   d    e    d    d    d    b    a  
      a    f    d    d    d    e    e    e    d   *G*   a  
      a   *F*   d    d    d    d    d    d    d    g    a  
      a    f    f    d    d    d    d    d   *H*   g    a  
     *I*   i    f    f    d    d    d    h    h    a    a  
      i    i    i    f   *J*   j    j    j    a    a    a  
      i    i    i    i    i    k   *K*   j    a    a    a

Together with validating that there is only 1 solution you would probably be able to make the search for good boards a more guided than random creation.

Macuyiko

السنة الماضيةdiscuss

All of the above is true, but between solving quicker, and admitting we gave context:

I do agree with you that an LLM should not always start from scratch.

In a way it is like an animal which we have given the ultimate human instinct.

What has nature given us? Homo Erectus is 2 million years ago.

A weird world we live in.

What is context.

Macuyiko

السنة الماضيةdiscuss

Weirdly it has gotten so far that I have embedded this into my workflow and will often prompt:

> "Good work so far, now I want to take it to another step (somewhat related but feeling it too hard): <short description>. Do you think we can do it in this conversation or is it better to start fresh? If so, prepare an initial prompt for your next fresh instantiation."

Sometimes the model says that it might be better to start fresh, and prepares a good summary prompt (including a final 'see you later'), whereas in other cases it assures me it can continue.

I have a lot of notebooks with "initial prompts to explore forward". But given the sycophancy going on as well as one-step RL (sigh) post-training [1], it indeed seems AI platforms would like to keep the conversation going.

[1] RL in post-training has little to do with real RL and just uses one shot preference mechanisms with an RL inspired training loop. There is very little work in terms of long-term preferences slash conversations, as that would increase requirements exponentially.

Macuyiko

السنة الماضيةdiscuss

A bit of a rant, but this is the kind of fact checking I wish the media and all our EU "trusted sources" would have jumped on instead of going for the most trivial and idiotic cases only a toddler (or a journalist) would get stumped by. (Example: recent posts on Tiktok 'claiming to be images from Pakistan but taken from Battlefield 3...' again. Who is impressed or even surprised by this kind of investigation?)

Much more interesting, but also with more effort required, so of course it never happens.

It would have a more beneficial societal effect, because it is this kind of article, neutrally written, deep investigation, that truly would make people capable to self-discover "maybe I should question a bit more things".

Macuyiko

السنة الماضيةdiscuss

The model seems to be viewable here:

https://netron.app/?url=https://madebyoll.in/posts/world_emu...

Macuyiko

قبل سنتينdiscuss

From an age perspective (but the crowd here will not like that): before I trusted myself I could always find it back so I don't need to save it. Now I can't anymore, but I don't care so much.

Macuyiko

قبل سنتينdiscuss

I am not so sure, but indeed it is perhaps also a sad realization.

You compare this to "a human" but also admit there is a high variation.

And, I would say there are a lot humans being paid ~=$3400 per month. Not for a single task, true, but for honestly for no value creating task at all. Just for their time.

So what about we think in terms of output rather than time?

Submissions

My daughter was a creative genius, and then we bought her an iPhone

comments