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msuvakovon An atlas of periodic solutions to the three-body problem

Thanks for the update! I sent you an email with more details regarding the layout and shape sphere.

For anyone else interested in the math behind the shape sphere coordinates and topological free group classification, I put together an agent skill with code examples here: https://github.com/suvakov/vibes/blob/main/skills/shape_sphe...

msuvakovon An atlas of periodic solutions to the three-body problem

Really cool project! On a personal note, thanks for the reference! I'm one of the authors of the 2013 paper you cited, and it's awesome seeing how many new solutions have been found since then.

I have a quick question: how are you currently checking if a new candidate is genuinely novel rather than a rotated, time-shifted, or rescaled duplicate of an existing solution?

If you are not already computing it, topological classification (mapping orbits to free group words) would be a great way to quickly prune duplicates before heavy numerical checks, and it's also really useful metadata to display in the atlas itself. Also, showing shape sphere projections of the orbits would be a nice visual addition.

msuvakovon Taxi drivers rarely die of Alzheimer's

When the original paper came out a few months ago, I vibe coded a quick reconstruction of the main results. Page has the interactive charts: https://suvakov.github.io/vibes/AlzheimerMortalityByOccupati...

msuvakovon Isaac Asimov: The Last Question (1956)

It’s striking how ending of the story mirrors Roger Penrose’s conformal cyclic cosmology, where the heat death of one universe mathematically resets through conformal scaling to become the big bang of the next.

msuvakovon Alzheimer's disease mortality among taxi and ambulance drivers (2024)

I played (vibe coded) around with the CDC records and the results look easily reproducible. Here it is in my vibe gallery: https://suvakov.github.io/vibes/AlzheimerMortalityByOccupati...

msuvakovon The Xkcd thing, now interactive

I had a similar idea inspired by xkcd:

https://suvakov.github.io/vibes/SlidingPuzzleChess/index.htm...

msuvakovon 987654321 / 123456789

Why the b > 2 condition? In the b=2 case, all three formulas also work perfectly, providing a ratio of 1. And this is interesting case where the error term is integer and the only case where that error term (1) is dominant (b-2=0), while the b-2 part dominates for larger bases.

msuvakovon Grok3 Launch [video]

To put it this way: after seeing examples of how a LLM with similar capabilities to state-of-the-art ones can be built with 20 times less money, we now have proof that the same can be done with 20 times more money as well!

msuvakovon Jacksonpollock.org

Thanks. It seems that some UTF-8 characters are not accepted as part of the comment. Anyone who wants to see the rabbit should check the page source :)

msuvakovon Jacksonpollock.org

      ___                        ___                     ___           ___     
     /  /\           ___        /  /\      ___          /  /\         /  /\    
    /  /::|         /__/\      /  /:/     /__/\        /  /::\       /  /::\   
   /  /:|:|         \__\:\    /  /:/      \  \:\      /  /:/\:\     /__/:/\:\  
  /  /:/|:|__       /  /::\  /  /:/        \__\:\    /  /:/  \:\   _\_ \:\ \:\ 
 /__/:/_|::::\   __/  /:/\/ /__/:/         /  /::\  /__/:/ \__\:\ /__/\ \:\ \:\
 \__\/  /~~/:/  /__/\/:/~~  \  \:\        /  /:/\:\ \  \:\ /  /:/ \  \:\ \:\_\/
       /  /:/   \  \::/      \  \:\      /  /:/__\/  \  \:\  /:/   \  \:\_\:\  
      /  /:/     \  \:\       \  \:\    /__/:/        \  \:\/:/     \  \:\/:/  
     /__/:/       \__\/        \  \:\   \__\/          \  \::/       \  \::/   
     \__\/                      \__\/                   \__\/         \__\/

msuvakovon Gemini 2.0 is now available to everyone

Not sure. I am using models/API keys from https://aistudio.google.com. They just added new models, e.g., gemini-2.0-pro-exp-02-05. Exp models are free of charge with some daily quota depending on model.

msuvakovon Gemini 2.0 is now available to everyone

Gemini 2.0 works great with large context. A few hours ago, I posted a ShowHN about parsing an entire book in a single prompt. The goal was to extract characters, relationships, and descriptions that could then be used for image generation:

https://news.ycombinator.com/item?id=42946317

msuvakovon Show HN: Throw a Whole Book into an LLM to Extract Characters and Relationships

Great observations! Thanks for your deep dive into result. I didn't go into this level of detail myself, but one thing I notice is that "the cat" in the graph is actually Peter, the cat that Tom gave painkiller to (with missing connections to Tom and Aunt Polly).

You're absolutely right that some characters are missing even in those short books, and there are likely many more relationships that haven't been fully captured. That said, I’m still quite impressed by how much data the LLM extracted in a single pass, especially given the complexity of the task, the size of the input, and the strict output format.

My estimate of quality was subjective. To truly quantify accuracy, we’d need to establish a "ground truth" with a better approach and measure the difference between the generated and actual relationship graphs. One possible way to do that would be to process the text in multiple passes: first extracting characters, then identifying relationships, both steps with more sophisticated prompt engineering. Another way is to manually annotate the network. The only book I found with a publicly available, human-annotated character network is Les Misérables, based on Donald Knuth’s work: https://github.com/MADStudioNU/lesmiserables-character-netwo...

However, there is an additional challenge. Even with human annotation, the question remains: how to define relationship network? What is a relationship in a book? Should it be limited to explicitly stated connections in the text, or it also can include deduced relationships based on context with some probability? Defining these criteria is crucial to quantify quality of the result.

msuvakovon Why is zero plural? (2024)

Same in Serbo-Croatian: 1 mačka 2-4 mačke 5+ mačaka 0 mačaka

msuvakovon The complete sequence of a human Y chromosome

This news should be dated back in December, not now.

The T2T team published a preprint [1] last December and released the data [2] in March. However, due to the peer review process, the findings have only just been formally published in Nature. The publication timeline can indeed be slow, and in cases like this one, the question is: what's the point when all scientists interested in the topic already know about it and working with this assembly?

[1] https://www.biorxiv.org/content/10.1101/2022.12.01.518724v1.... [2] https://github.com/marbl/CHM13

msuvakovon random(random(random(random())))

I forked it with similar idea: https://openprocessing.org/sketch/1929687

msuvakovon Djokovic's PCR test was manipulated?

No, that is the weak point of this system. Anyone can change date in pdf and no one can check that except Serbian authorities. The only limit for date is one year after test because verification system (qr code link) is set not to validate older tests.

msuvakovon Djokovic's PCR test was manipulated?

They probably generate ID when results are stored in database, not when samples are taken. Difference in processing time explains this. What are the dates of result (stated at the bottom of the pdf)?

msuvakovon Djokovic's PCR test was manipulated?

Updated plot (29 test data from volontiers) is available here: https://twitter.com/msuvakov/status/1481033480901431297

Only outlier is Djokovic's positive test. It perfectly fits to 26. December, the same date timestamp was created.

msuvakovon The size of the moon, relative to the Australian mainland

More precisely a quarter:

38 million km2 (Moon area) : 150 million km2 (land area of the Earth) = 25%

msuvakovon Tail recursion in Python

It should be:

  def tail_factorial(n, accumulator=1):
    if n == 0: return accumulator
    else: return tail_factorial(n-1, accumulator * n)

msuvakovon One Bitcoin miner is buying 20,000 16nm wafers from TSMC per month

Primecoin is an example: https://primes.zone

msuvakovon A prime number whose binary representation looks like a giraffe

Cool but old. It can be done in any number base, e.g. in decimal: https://www.youtube.com/watch?v=fQQ8IiTWHhg