you have to download the repo and you need python installed, in the project folder you’d run

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install -r requirements.txt

and then you should be able to run python create_map_poster.py --city <city> --country <country> [options]

Not necessarily, the models can often be tricked into spilling the beans of how they were trained.

Exactly, open models are basically unlocking knowledge for everyone that’s been gated by copyright holders, and that’s a good thing.

You can demand it but it’s not an pragmatic demand as you claim. Open weight models aren’t equivalent to free software, they are much closer proprietary gratis software. Usually you don’t even get access to the training software and the training data and even if you did it would take millions of capital to reproduce them.

This is a problem that can be solved by creating open source community tools. The really difficult and expensive part is doing the initial training.

You can put into your license whatever you want but for it to be enforceable it needs to grant licensee additional rights they don’t already have without the license. The theory under which tech companies appear to be operating is that they don’t in fact need your permission to include your code into their datasets.

There have been numerous copyleft cases where companies were forced to release the source. There’s already existing legal precedent here.

The actual problem is the capitalist system of relations. If it’s not AI, then it’s bitcoin mining, NFTs, or what have you. The AI itself is just a technology, and if it didn’t exist, capitalism would find something else to shove down your throat.

here are just a few

• https://interestingengineering.com/innovation/ai-predicts-nuclear-fusion-plasma-failure
• https://www.scmp.com/news/china/science/article/3332736/central-china-ai-telling-humans-how-build-high-speed-rail-tunnel
• https://www.xinhuanet.com/english/2020-02/18/c_138795661.htm
• https://www.newscientist.com/article/2511954-amateur-mathematicians-solve-long-standing-maths-problems-with-ai/
• https://mathstodon.xyz/@tao/115855840223258103
• https://www.caltech.edu/about/news/ai-program-plays-the-long-game-to-solve-decades-old-math-problems

This is the correct take. This tech isn’t going away, no matter how much whinging people do, the only question is who is going to control it going forward.

Hopefully this stuff pans out. I’d love see it happen.

This is existing high performance hardware that you can buy. I’d love for there to be something equivalent built using RISCV, but there’s not.

I haven’t actually tried that. I got it running on my M1, but only used it with the laptop screen.

My view is that all corps are slimy, some are just more blatant about it than others. I do agree that Apple stuff tends to be overpriced, and I’ve love to see somebody else offer a similar architecture using RISCV that would target Linux. I’m kind of hoping some Chinese vendors will start doing that at some point. What Apple did with their architecture is pretty clever, but it’s not magic and now that we know how and why it works, seems like it would make sense for somebody else to do something similar.

The big roadblock in the west is the fact that Windows has a huge market share, and the market for Linux users is just too small for a hardware vendor to target without having Windows support. But in China, there’s an active push to get off US tech stack, and that means Windows doesn’t have the same relevance there.

Exactly, and there is already some work happening in that regard. This project is focusing on making a high performance RISCV architecture https://github.com/OpenXiangShan/XiangShan

I really hope the project doesn’t die, they had some people leave recently and there was some drama over that. Apple hardware is really nice, and with Linux it would be strictly superior to macos which is just bloated garbage at this point. I’m also hoping we’ll see somebody else make a similar architecture to M series using ARM or RISCV targeting Linux. Maybe we’ll see some Chinese vendors go RISCV route in the future.

In terms of functionality, it works well. The main limitation is software availability. If you rely on anything that can’t be built for the architecture then it’s not going to be a good daily driver.

It’s not an apples to apples comparison because the architecture is so different. Notice his observation in the article:

I am very impressed with how smooth and problem-free Asahi Linux is. It is incredibly responsive and feels even smoother than my Arch Linux desktop with a 16 core AMD Ryzen 7945HX and 64GB of RAM.

M1 architecture has a huge advantage being a SoC and having shared memory between the CPU and the GPU which avoids the need for a bus. I’m still using M1 macbook with 8gb of RAM that I got to keep at one of my jobs a few years ago, and it’s incredibly snappy. I’ve tried x86 laptops with way better specs on paper, and they don’t come anywhere close in practice.

yeah it’s a really powerful editor that can handle tasks you’d normally use a few different apps for

That’s my view as well. There ultimately needs to be a human decision maker in the loop for any meaningful work to happen.

that’s the joke :)

And then they’d need to be able to verify that the code actually meets these requirements. That might even necessitate specifying these requirements in some sort of a formal language…

My point is that the problem is systemic, and all corporations end up leaning towards similar practices in the end because that’s what the selection pressures under capitalism drive them to.