Yours is the correct take, it isn't about who did it, it was that it was done at all.

This shows how effective open source and open development can be.

Best way to get a correct answer is ... https://www.phind.com/search?cache=ws3qq1xl8hj4yx1izd5oeda0

Not sure I understand how exactly open source plays a key role here in terms of project development.

Looking at https://github.com/deepseek-ai, those repos have a bunch of of contributors but unless I'm wrong I don't see any significant contributions. What am I missing?

One could argue that by Meta and other companies releasing open weights and detailed got us to where we are now with R1. Even if it wasn't your race car that crossed the line first, everyone can now get a copy.

Exactly this. This does not affect Meta as many people believe.

The startups that are in trouble are the ones that have been screaming for "AGI" and buying up GPUs and close-sourcing their models.

Open source was always going to win the race to the bottom. [0]

[0] https://news.ycombinator.com/item?id=41671582

Agree. Apple should be as well. The only con I can think of would be their (Meta's) data center investments but seems this will make them more efficient?

What kind of quality of content can Meta theoretically mine with all the vast data that they collect? They have a good advertising and a content algorithms but does it approximate general intelligence? And the content you see on Facebook, Instagram, Whatsapp, that's just a lot of average content that might actually be great for AGI.

Propaganda. Pay to play

I'm not so sure about that. Deepseek puts their LLM (Llama) even further behind. It's basically at the back of the pack, signaling to the market that they don't have the top minds in the industry on board. Second, I'm not sure how a massive trove of misinformation is of much use or how it's of more use to them than it is to others. Can you elaborate on that?