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There is no “required” amount. More gets produced using the same area, using more people, but keeping these people in poverty because productivity per capita doesn’t increase. Instead the gains from the increased volume of production get captured by an elite. See https://link.springer.com/article/10.1186/s41257-019-0021-y.

What corresponds to land in the AI analogy to this?

There is no direct analogy, the term has drifted since. See https://en.wikipedia.org/wiki/Neijuan.

What’s more relevant is that apparently Astra can’t tell the difference.

Just imagine how confused a human would have to be to do that. And we want to trust these clankers to build software.

The biggest issue with LLMs is that they still suck at general contextual awareness and ability to judge what is appropriate.


Same here. It’s a market that would sell millions of units per year like the mini did, just not hundreds of millions like the remaining iPhone linup combined.

It’s still big and the heaviest and thickest (with camera plateau) iPhone to date, hardly suitable for one-handed use (the SE1 was the last that truly was), and not light in your pocket.

> Accelerate your AI development with Thelio Mira AI, System76's affordable, GPU-focused workstations

From $3,299 (with just 64 GB RAM and a 4 GB GPU) to over $50,000. Very affordable indeed.


50K without a proper CPU, mind.

As the article explains: “[…] In other words, if you instruct a model to change a single word in a paragraph of text, it can almost always handle the task with no collateral damage.“

It’s not an iOS bug to begin with.

That would place significant limitations on the applications that can be compiled. As the JEP explains: “Features such as dynamic class loading, dynamic linkage, dynamic dispatch, and dynamic reflection bring vast expressive power, and have been fundamental to the platform's success. HotSpot handles these features naturally, while static compilers struggle with them. Even heroic amounts of static analysis cannot make up for the fact that these features require many decisions to be made at run time. Implementors of static compilers for Java code have therefore resorted to incompatible constraints, such as closed-world assumptions, and to putting significant burdens on developers, such as having to identify in advance the classes eligible for reflection.”

Therefore I don’t see AOT-only becoming an integral part of standard Java in the foreseeable future.


It works pretty well for greenfield projects on .NET, so long as you can live without third-party libraries that don't support AOT.

Existing code bases can be a pain, though, especially applications that heavily rely on things like C++/CLI and COM Interop that basically need to be rewritten from scratch.

Which is not to say that it's intended to replace the traditional JIT runtime in applications where it isn't troublesome, because it's not.


> so long as you can live without third-party libraries that don't support AOT.

Yes, and that’s a significant limitation in the Java library and framework ecosystem.


But the possibility of AOT compilation is what drives libraries to support it. That's why .NET libraries are adapting over time to support AOT.

we are not talking about fully supporting dynamic loading, because it's not needed in all the cases, and in some cases, the list of allowed classes in the application can (or must) be limited.

i guess what i am saying is that AOT-only case is not "standard java", but something that will make a (more) useful replacement for things like c/c++.


Analytics don’t capture the “why” of what they measure, on the user side. Indicators may move in the seemingly right direction for the wrong reasons. Analytics typically can’t tell you what the user wanted to achieve. Knowing the “why” gives a better basis to decide on what changes to try, or to realize what’s actually wrong with the user-facing side of things. Another reason is that they tend to measure an average where in reality there is no average user.

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