Meta's local llama models used to be the face of open source AI. The scene has really changed.

Yeah, I think it is definitely great. Having said that, I am still debating in my mind whether the volume of software engineers needed in the AI era is going to increase or decrease because of all of these advancements.

On the one hand, because it is easy to build products, more and more people will build. And more and more products and features will be built. However, a lot of people who are non-technical will also try to build, but they get stuck, and then they will need engineers. The sheer volume of product built by both experienced technical companies and non-technical novice startups and founders and wannabe founders is going to be massive. That is the bull case for having more software engineers needed in the near future.

On the other hand, in a year or so, people will build all these products, and most of them won't be able to market them, sell them and make money. Eventually, there won't really be a need for that many software engineers.

I think overall the bull case is probably going to win net net.

To expand on Chinese models:

- DeepSeek

- GLM (Z.ai)

- Minimax

- Kimi (Moonshot)

- Hy3 (Tencent)

- Qwen (Alibaba)

(Each one of these with weights available to download and run locally)

Its the biggest technology race we have ever seen. Richest companies, smartest people, richest countries.

I do not know if competition is good, we will see in a few years.

Looking forward having a physical job for a change :D

While data centers are still using lots of energy created from fossil fuels and many still evaporate water for cooling?

No wonder we still can’t get climate change under control