I miss the times when there was a lot of technical content that took time and mental energy to understand.
Nowadays, it's pretty hard to discover it. On HN, I see that a lot of technical articles don't make it to the front page, so sometimes I just search for them in the submissions. Not only is there less content, but demand for it is also declining. I guess people would rather read another article about LLMs that teaches almost nothing and doesn't exercise their curiosity. It feels sad for me, as a reader and as a writer.
So, are there any other places left where people still care about and share deep technical content? I want to keep exercising my thinking. I've had enough of brain-rotting.
Some content on the subject of AI is deeply technical, just as is some content on the subject of blockchain, lisp, retro-computing, etc.
But most of what is written about most things (including C, reverse engineering, systems programming, etc.) is not deeply technical.
One problem unique to AI is that “AI” doesn’t mean anything specific…I mean even your question doesn’t distinguish between articles about specific AI technologies, articles generated using LLM’s, “AI” as a marketing feature, AI as an industry, AI as an ideology etc.
If I want do dig deeper - textbooks, white papers are still a good source.
In general good conference then Youtube. Even if old e.g. strangeloop. There is Fosdem etc.