Self-identifying as some variant of “I’m a critical/free thinker” or “I can think for myself” is almost certainly a signal that one cannot, in fact, think critically for themselves.

Overall really good! Great way to digest research papers, plus I've been running out of new podcast episodes lately so it's nice to be able to make my own custom podcast episodes. Wish I could steer the podcasting behavior a little more and wish that it were longer but I'm liking it so far.

More NotebookLM notes:
- It has a funny pronunciation of "SQL" that I've never heard before (almost like "sekl"?)
- The two podcast hosts are always the same and I can only mildly steer their behavior with system prompts.
- There's weird times where the hosts like to finish each other's sentences?

The Great Fire of Rome happened when the data centers full of the latest 3,000 nm chips caught fire and there weren’t enough aqueducts to cool them down. Completely unrelated to Nero joining AMD’s board just 6 months before and sitting on Palatine Hill with Lisa Su to watch NVIDIA burn.

Can you imagine the amount of aqueducts they must've had to build to cool down all their data centers? Back then, Nvidia must've been on their 5,000 nm chips, so hopefully the Romans and Greeks called in ahead to reserve the 4,000 nm chips in advance.

I think that's true. I suppose the caveat is that Mookie plays one position for weeks or months at a time, whereas it did seem like you'd know where Zobrist was playing only when the lineup card came out. The Rays seem to like generic IF and OF players instead of by position, especially post-Longo.

I wonder if there's anyone who conclusively out-Zobristed Zobrist himself over the course of multiple seasons. Zorilla was a cog in some good Rays and Cubs teams before being a super-utility player was cool.

I'm not too aware of AI detection research but this was an interesting way to do it. It's trivial to fool normal AI checkers, since plain zero shot fails. But you can build a better AI checker if you include a retrieval step comparing a text to known AI-generated text.

I keep getting ads for "OpenAI pays its LLM engineers 750k, here are 7 projects to get YOU an LLM engineering job", what absolute slop.

Engineers also sometimes forget that they're hired to solve problems that happen to use code, so we can't forget what those problems are in the first place.