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Article URL: https://www.theguardian.com/technology/2025/apr/10/black-mirror-tv-show-pessimism

Comments URL: https://news.ycombinator.com/item?id=43648890

Points: 4

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Article URL: https://blog.livekit.io/livekits-series-b/

Comments URL: https://news.ycombinator.com/item?id=43648874

Points: 1

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Article URL: https://www.youtube.com/watch?v=vhhAWd_NKBI

Comments URL: https://news.ycombinator.com/item?id=43648863

Points: 1

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Article URL: https://matt.might.net/articles/implementation-of-regular-expression-matching-in-scheme-with-derivatives/regex-derivative.scm

Comments URL: https://news.ycombinator.com/item?id=43648862

Points: 1

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Article URL: https://www.vigilant.run/blog/express-monitoring

Comments URL: https://news.ycombinator.com/item?id=43648840

Points: 1

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Article URL: https://www.ccohs.ca/oshanswers/chemicals/whmis_ghs/general.html

Comments URL: https://news.ycombinator.com/item?id=43648837

Points: 1

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Article URL: https://www.theguardian.com/us-news/2025/apr/09/ice-todd-lyons-deporation-amazon

Comments URL: https://news.ycombinator.com/item?id=43648830

Points: 6

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Article URL: https://archive.org/download/software-design-for-flexibility_how-to-avoid-programming-yourself-into-a-corner_hanson_sussman/software-design-for-flexibility_how-to-avoid-programming-yourself-into-a-corner_hanson_sussman.pdf

Comments URL: https://news.ycombinator.com/item?id=43648829

Points: 2

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Article URL: https://www.macrumors.com/2025/04/10/chaos-behind-siri-revealed/

Comments URL: https://news.ycombinator.com/item?id=43648816

Points: 2

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Article URL: https://www.affectablesleep.com/blog/what-your-sleep-tracker-gets-wrong-about-sleep

Comments URL: https://news.ycombinator.com/item?id=43648806

Points: 2

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Article URL: https://www.heyopenspot.com/

Comments URL: https://news.ycombinator.com/item?id=43648795

Points: 11

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Article URL: https://news.mit.edu/2025/hopping-gives-tiny-robot-leg-up-0409

Comments URL: https://news.ycombinator.com/item?id=43648788

Points: 1

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Article URL: https://hbr.org/2025/04/how-people-are-really-using-gen-ai-in-2025

Comments URL: https://news.ycombinator.com/item?id=43648757

Points: 1

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Article URL: https://meet.hn/

Comments URL: https://news.ycombinator.com/item?id=43648747

Points: 2

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After thinking about it for a while I am wondering, is everything data compression? Perhaps trivially so?

Like chaotic and nonchaotic systems alike can be described by their ability to be compressed. The less compressible the less chaotic [1]. And this is where we define explicitly chaos is in the regime of positive Lyapunov exponents. And so that creates an intrinsic link between dynamics and information. And information is what the universe is fundamentally made out of to say metaphorically.

But then that is why neural networks are so good at their jobs compared to anything else when predicting chaotic things [2] because they literally are attempting to compress the space of data. Which is a descriptor of chaos.

And the reason we say that neural networks are unexplainable or at least hard to explain is that they don’t show directly the solution. But if we switch our mental model to that the universe is simply only able to be described by literally compressing it into something, then neural networks are the best estimator for any function [3].

Which implies that neural networks are the best we can get. So all you can do is work towards more sophisticated architectures to understand anything. Because there isn’t anything that’s a true data model, function approximations are all we will ever get [4]. And also the reason they can predict further into the future than though possible is because previously we simply had worse compression algorithms than before.

And to me this all seems trivially true, or likely less than that because there seems to be no implications from it that are more than cursory observations and perhaps I am simply naive. So I am hoping someone can point me in the right direction to read or do more to understand these things. Because I have organized a conference to understand these ideas [5] and I think I should organize another one but also I’m not sure how to interact with these ideas because most of my time is spent doing geophysics and data science and not this.

[1] https://www.sciencedirect.com/science/article/abs/pii/S0370157301000254

[2] https://link.aps.org/doi/10.1103/PhysRevResearch.5.043252

[3] https://www.sciencedirect.com/science/article/abs/pii/S089360809700097X

[4] https://projecteuclid.org/journals/statistical-science/volume-16/issue-3/Statistical-Modeling--The-Two-Cultures-with-comments-and-a/10.1214/ss/1009213726.full

[5] conference talks on YouTube (not all the talks were recorded and also the conference was broader in topic than this post). https://youtube.com/playlist?list=PL6zSfYNSRHalAsgIjHHsttpYfxJ_XIPbt&si=VVWAE-fsv_WfFwfK

Comments URL: https://news.ycombinator.com/item?id=43648742

Points: 1

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Article URL: https://arstechnica.com/tech-policy/2025/04/amazons-chinese-sellers-to-raise-prices-or-quit-us-market-as-tariffs-hit-145/

Comments URL: https://news.ycombinator.com/item?id=43648737

Points: 4

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Article URL: https://centminmod.com/

Comments URL: https://news.ycombinator.com/item?id=43648731

Points: 1

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Hi, my name is Anguel and I am one of the developers of WhoDB (https://github.com/clidey/whodb)

I am not a fan of the dbeaver, beekeeper, adminer, etc experience because they are bloated, ugly, and at best okay but not great.

Hence why I started working on WhoDB.

The approach:

- browser-based (chrome/firefox)

- no bloat

- jupyter notebook-like experience (Scratchpad)

- built-in AI co-pilot with ollama (local) or openai/anthropic

We just shipped query history and replay (time travel?) to the Scratchpad.

Would love for you to check it out and give some feedback aka roast us into oblivion:

docker run -p 8080:8080 clidey/whodb

Food for thought:

1. What's your biggest database pain point?

2. Any killer feature missing from current tools?

Comments URL: https://news.ycombinator.com/item?id=43648713

Points: 2

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Article URL: https://research.trychroma.com/generative-benchmarking

Comments URL: https://news.ycombinator.com/item?id=43648618

Points: 1

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Article URL: https://radpod.ai/share/openai-vs-elon-musk-countersuit-april-2025-snapshot-ec7ce89c

Comments URL: https://news.ycombinator.com/item?id=43648587

Points: 1

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