@josevalim I agree, the AI agents are not proficient yet in completing tasks as a whole. Splitting the tasks between agents would make it more difficult. Unless you have a supervisor agent, as the single source of truth to merge the code
That a bunch of Chinese hobbyists could release an AI that is more competent than American models, more cost efficient, has 3% of the environmental impact, and can pretty much run on a Raspberry Pi and is... open source, should not be shocking to the West.
There's room to be skeptical of course, but one should also take this seriously. I've said time and time again that people grossly misunderstand that "the Chinese can't innovate because they lack freedoms."
Not only have they invested more in AI, they are also far more focused. Imagine what you can do when you don't have to worry about relitigating your history or canceling engineers because they put out internal memos accurately describing why evolutionary psychology explains varying outcomes between men and women?
The arrogance of the West is similar to China's hubris during the Ming Dynasty when the "Middle Kingdom Syndrome" gave it the illusion that Chinese civilization was superior to the rest of the world, and that it did not need to learn anything from it. China has since learned from that. It takes the best from the West and adapts it for its own purposes.
DeepSeek's R1 is a Sputnik moment, guys. Time to wake the hell up.
"The temptation to add features to a program must be resisted as strongly as possible. This requires the dedication of a saint" - Joe Armstrong: creator of @Erlang#erlang#elixir
@tomdelalande_ Hi Tom, I came across your video "the cloud over-engineered" I thought it was very insightful and inline with someone of the ideas I'm exploring.. Do you have 15 minutes on your schedule this week or next to go through some ideas with me?