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jmpeax
Joined 448 karma

  1. I like the surface dots like it is. It gives me two points of reference at the poles, and adds intuition for how long it takes to go around the sphere.
  2. From that wikipedia article, delta is the ratio of y variance to x variance. If x variance is tiny compared to y variance (often the case in practice) then will we not get an ill-conditioned model due to the large delta?
  3. Actual architects design buildings.
  4. Don't get me started on "software architect".
  5. How is blocking ad blockers going to make them $150m?
  6. > They typically need to compare many or all points to each other, leading to O(N²) complexity.

    UMAP is not O(n^2) it is O(n log n).

  7. Polars made the mistake of not maintaining row order for all operations, via the False-by-default argument of maintain_order. This is basically the billion-dollar null mistake for data frames.
  8. > always respect human dignity even when nasty players try to make a dirty move against you

    What a gem of a quote. A great way to avoid becoming a bitter person.

  9. > does not provide any concrete proof, but it confirms many people's suspicions

    Without proof there is no confirmation.

  10. The pro version comes with "Professional-grade creative suite", but they don't tell you what you're actually getting. It's just opaque corporate-speak one-liners "Make real progress toward your goals".
  11. Except on figure 1 they're all at 0, making it look like the authors didn't know how to use the models or deliberately made them do nothing.
  12. Google is still looking for investors?
  13. Middle Aged Man Language - too many braces.
  14. That was released as a joke. Twenty years later and no longer released as a joke, Apple is showing they are still in touch with the sensibilities of the modern Apple customer.
  15. "up to 1 TB capacity... starting launch price is $15.99"

    I have adblock, how did this SanDisk commercial make it through?

  16. Correctness with respect to the benchmark. A slow reference renderer could produce the target image, and renderers need to achieve either exact or close reproduction to the reference. Otherwise, you could just make substantial approximations and claim a performance victory.
  17. There has to be a better way to view this than the tangled web of overlapping lines, like that at lower left of the "services" rectangle on the right, even with the selection highlighting. Perhaps there is not, and it is fertile ground for developing a new visualization.
  18. I can't view the site on my mobile without accepting cookies.
  19. Your customers don't have any handwritten text?
  20. > If the robot is an expert in all fields why would you bother to learn anything?

    Robots have been better at chess than humans for a quarter of a century. Yet, chess is still a delightful intellectual and social persuit.

  21. The description of the algorithm is frustratingly confusing.

    "Now pick another random black dot to start from and color it white too. From this black dot" from which black dot, the white one?

    "single step in a random direction, coloring the new dot white and drawing a line between the two dots". How big of a step is we need to draw a line? Ok, so where not talking about pixels, and where drawing black and white dots on a background of... let's imagine grey?

    "backtrack along your path until you’re back at the dot that you were trying to color white" does this algorithm ever terminate in any tractible time?

  22. The tech tree of future games will have us smelt copper to unlock iron.
  23. Yes, the two are orthogonal concepts. Text did not disappear just because we invented photography. Bayesian data analysis is for inverse problems, such as using data to learn about the properties of the system/model that could have generated the data, and neural networks are for forward problems such as using data to generate more data or make predictions.

    You can use BDA for forward problems too, via posterior predictive samples. The benefit over neural networks for this task is that with BDA you get dependable uncertainty quantification about your predictions. The disadvantage is that the modalities are somewhat limited to simple structured data.

    You can also use neural networks for inverse problems, such as for example with Neural Posterior Estimation. This approach shows promise since it can tackle more complex problems than the standard BDA approach of Markov Chain Monte Carlo and with much faster results, but the accuracy and dependability are still quite lacking.

  24. Statistical Rethinking by Richard McElreath. He even has a youtube series covering the book if you prefer that modality.
  25. > Leadership in technical environments isn't about being the smartest person in the room. It's about being the most effective translator.

    Only if you don't make the final decision, but if you do, you better be the smartest person in the room by far. Otherwise, you're not a leader but a post turtle.

  26. > It makes it ugly to read, and the context switching between code and comments is hard.

    That's a symptom of bad syntax highlighting, fix it and you're good to go.

  27. Do you yourself really understand, or are you just depolarizing neurons that have reached their threshold?
  28. Maybe because "We propose burying this device beneath the Kerguelen Plateau in the Southern Ocean, 3-5 km into the basalt-rich seafloor and 6-8 km below the water’s surface." would be prohibitively expensive for hundreds of nukes.

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