Konstantin Kisin

And some people in Silicon Valley are just, we'll get it later this year.

We'll get it in two years.

And I say, no, it'll take longer.

And even for me, I've had to admit that the progress has been pretty fast.

And here's a story.

So last year, like you guys do, I researched for my podcast.

Obviously, I read things, but then I also talked to these LLMs, the equivalents of ChatGPT, to research for a podcast.

And say last year I spent on the order of $100 on... If you add up my subscription to ChaiGBT and Quad and whatever and Gemini, there was a week where I was prepping for two different guests where in that prep, I just threw in a bunch of papers that are relevant to the research and a bunch of books and whatever into a folder.

And I just said to...

an LLM, hey, help me understand all this research so I can ask the person good questions about it.

And I turned on various things which make the model much more expensive.

It's faster, it's smarter, I use a bigger model.

And during that week, if you take my spending during that week and you turn it into a yearly spending, how much it would be if I just did that week over the course of a year?

I would be spending over six figures.

on AI spend.

And I think it's possible next year, it would make sense for me to spend seven figures on this AI research for my podcast.

Okay, this is just to say that it's getting to the point where I could hire an analyst.

I could hire many different analysts to help me prepare for the podcast or researchers.

And I'm actually realizing, no, it's more useful to hire AIs because there's things AIs can do that humans can't do.

They can read 50 different papers that are in my folder that are relevant to an upcoming interview or all these books.