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The book "The Great Leveler: Violence and the History of Inequality from the Stone Age to the Twenty-First Century" by Walter Scheidel makes a similar argument:

> Are mass violence and catastrophes the only forces that can seriously decrease economic inequality? To judge by thousands of years of history, the answer is yes. Tracing the global history of inequality from the Stone Age to today, Walter Scheidel shows that inequality never dies peacefully. Inequality declines when carnage and disaster strike and increases when peace and stability return. The Great Leveler is the first book to chart the crucial role of violent shocks in reducing inequality over the full sweep of human history around the world.

[1] https://press.princeton.edu/books/paperback/9780691183251/th...


I would also recommend "The Dawn of Everything" by David Graeber and David Wengrow. It explores "the roots" of inequality. A lot of interesting insights there.

Here is a thread of videos from my tests of the recent DIAMOND model: https://x.com/chrisoffner3d/status/1845436198254227590

I really wonder how much more stable Genie 2 is.


> Thriving companies like Arc and Linear build an entire aesthetic ecosystem that invites users and advocates to be part of their version of the world.

Afaik Arc still has no revenue and no clear path to a business model, so I’m not sure I’d call it a “thriving company.” I like and use their browser but I fully expect it to die once the money runs out, because people won’t pay for a better looking browser.


I absolutely would. I'm sure there are dozens of us. Dozens!


Clearly you haven’t read a lot of research papers in computer graphics, geometry processing, and shape analysis.


It's funny because I initially wrote my comment with a final “/s”, before removing it right after I submitted it “because it's already obvious it's a joke”.

Incorrect assessment it seems…


What I never understood is: why did browsers drop RSS support?


Chrome alone is 65% of all browsers. So Chrome dropping RSS support already addresses an overwhelming majority of all potential readers.

<https://gs.statcounter.com/browser-market-share>

Google's interests are pretty evident and self-serving: RSS short-circuits both the browser (you can use an RSS reader) and Google's search engine. Both directly reduce advertising exposure.

Firefox killed default RSS features in 2018 "because they're hardly used and would take too much effort to modernise":

<https://www.zdnet.com/article/end-nears-for-rss-firefox-64-t...>

Browser extensions can still be used to read RSS feeds.


No one used it. Outside of tech circles, no one even knew what RSS was.

Sites like Reddit also killed it. People would rather subscribe to topics (subreddits) than individual blogs.


It's a beautiful language that's a joy to write. It's safe and ergonomic, and has an extremely powerful type system. I'd say those are good reasons to use Swift.


I'm really interested in exploring it for building web app backends because of this. Being able to have a drag-and-drop distribution is even better.


I haven't used it yet, but I've heard really good things about Vapor as far as server side Swift goes...

https://vapor.codes


Thanks. What is a "protocol server?"


Not a super-expert but I've used Vapor on some personal projects. Do you have a link to the mention for "protocol server"? I'm not familiar with the concept but might be able to help.


I'm guessing they clicked onto the Built with SwiftNIO link and saw this at https://github.com/apple/swift-nio.


That's right. I did a search but this term does not seem to have a trendy or thorough definition.


In this instance they're talking about implementing network protocols, such as HTTP, where one end is the client and the other end of the connection is the server.

It's confusing because the Swift language also has the concept of "protocols" which are basically the equivalent of Java and C#'s interfaces if you're familiar with those languages.


I had to look this up. I'm doing my master's in computer science at ETH Zurich, where it is ranked #5 globally according to THE [1], and I pay 804 CHF (874 USD) per semester, i.e. 1608 CHF (1,748 USD) per year. I just had to check MIT's tuition.

> The median annual price paid by an undergraduate who received an MIT Scholarship was $12,715 in the 2022–2023 academic year. [2]

You're basically right, MIT (ranked #3) is almost eight times more expensive than ETH (ranked #5). To be clear though, ETH Zurich is in Switzerland, which is not in the EU.

---

[1] https://www.timeshighereducation.com/world-university-rankin...

[2] https://mitadmissions.org/afford/cost-aid-basics/access-affo...


Politically it is not in the EU.

It is geographically completely surrounded by the EU.

So politically ... it is in the EU.


How does this follow, can you explain?


Not OP, but presumably Switzerland is "in the EU" the same way Hawai'i is in the ocean. It's objectively above sea level, and not literally in the ocean. But when you're surrounded by ocean to that extent, it can have a large impact on the way life is lived.


When one entity has so much leverage over another it compromises the sovereignty of the other.

Also it's a 'gray area' -- Switzerland belongs to many EU institutions like Schengen and EEA without being in the EU proper. Using Euros would also be common in parts of Switzerland.


So, is CoreNet the equivalent of Keras, whereas MLX is the Jax/PyTorch equivalent?


Sounds reasonable. Apple writes the following about MLX: "The design of MLX is inspired by frameworks like NumPy, PyTorch, Jax, and ArrayFire."


Not quite. The closest equivalent would be something like fairseq. It's config (yaml) driven.


What's the meaning of life though, and why is it love?


> My limited understanding is that Nerfs are compute-heavy because each cloud point is essentially a small neural network

There's no point cloud in NeRFs. A NeRF scene is a continuous representation in a neural network, i.e. the scene is represented by neural network weights, but (unlike with 3D Gaussian Splatting) there's no explicit representation of any points. Nobody can tell you what any of the network weights represent, and there's no part of it that explicitly tells you "we have a point at location (x, y, z)". That's why 3D Gaussian Splatting is much easier to work with and create editing tools for.


Interesting. Thanks for the clarification.


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