There is so much to unpack here. Currently on my 3rd re-watch. Biggest take-aways:

1. This is the death knell for the the "AI" investment bubble. Agents that are useful for non-devs are 10 years away.

2. Andrej thinks that GPT5 pro is SOTA for code? Really? As a Sonnet normie.. can anyone please help me understand this?

edit:

3. You can't see any major tech developments on the GDP growth chart? Really? WTF? Have we all been smoking tech crack, this whole time? So GDP didn't grow extra from tech any single tech development, like the Internet? This broke my brain.

disclaimer: On the daily, I use LLM dev tools to add amazing LLM-enabled features to my pre-money SaaS. It's really cool and users love the features.

In my case at least, it’s very good at following all instructions to the T. Claude 4.0 (haven’t used it much since 4.5 came out) would often miss some key things in my instructions. The output is very high quality as well. Many things (even complex coding tasks) work well in one shot.

For extremely complex multi-step problems though - it may need some help in breaking the tasks down to more manageable chunks. But will eventually ace it. As an example, I had good success with a project that involved:

- Rewriting all internals in a dotnet/C# application to use Apache Arrow types for data through the entire pipeline - Adapting the architecture to be streaming first instead of working through entire data in each stage - Designing and implementing a complex system that creates many different projections of the data based on everything that has read in the stream so far and create multiple outputs based on that, in parallel as the stream is being read in real-time - Recreating a prototype of the entire project in Rust