No need to leak the data, it’s open source. https://arxiv.org/abs/2211.15533

I’ve yet to see any actual evidence that any significant number of people are using evaporative cooling, and not just what everyone else uses when liquid cooling electronics - a closed loop.

I think it goes into a pipe filled with a coolant that is circulated into a cooler medium like a lake or even just the air.

That’s shifted from AI to data centers in general, and most of what they’re complaining about is the power generation. I live in Ontario, we get our electricity from nuclear and hydro.

Here’s the Amnesty International report if you want to give it a bit more scrutiny. I think it’s China’s attempts to discredit it that don’t hold up to scrutiny:

www.amnesty.org.au/wp-content/uploads/2021/06/Amnesty-International_China-Report_FINAL.pdf

That sounds awesome, can an independent third party news agency go into China and take pictures to confirm?

I use the Apertus model on the LM Studio software. It’s all open source:

https://github.com/swiss-ai/apertus-tech-report/blob/main/Apertus_Tech_Report.pdf

I’m still not understanding how this is a water problem. Even in an open loop system, where do you think the water goes?

I used it to analyze a datasheet and it spat out a usable library for the device in C++, that was pretty cool.

Not to mention the one that I run locally on my GPU is trained on ethically-sourced data without breaking any copyright or data licensing laws, and yet it somehow works BETTER at ChatGPT for coding.

No I’m not understanding how it’s a problem. How does an AI datacenter “consume” water? Where does it go?

I understand they use water in a closed loop for cooling, but… that’s a closed loop. It isn’t consuming water. Where did you get the idea that it was?

Why does it consume water? Isn’t it in a closed loop?

Swampy conditions?

Send in the Manitobans.

why are you consuming water for your AI?

From hair!

But again, you’d have to set your project to public and your license to “anyone can take my code and do whatever they want with it” before it’d be even added to that list. That’s opt-in, not opt-out. I don’t see the ethical dilemma here. I’m pretty sure I’ve found ethical AI, that produces good value for me and society, and I’m going to keep telling people about it and how to use it.

StarCoderData.23 A large-scale code dataset derived from the permissively licensed GitHub collection The Stack (v1.2). (Kocetkov et al., 2022), which applies deduplication and filtering of opted-out files. In addition to source code, the dataset includes supplementary resources such as GitHub Issues and Jupyter Notebooks (Li et al., 2023).

That’s not random Github accounts or “delicensing” anything. People had to opt IN to be part of “The Stack”. Apertus isn’t training itself from community code.

It is not trained on open source code on Github.

But I can use it to analyze a datasheet and generate a library for an obscure module that I can then upload to Github and contribute to the community.

this is old info, cops have switched their radios to raspberry jam now