@jack do you want to share you apple books account with me 😆 I really wanna check out snippets of all these books you are sharing real time. I just don't have that budget yet. 😌

Book MBT. Science explaining Buddhism I.e. the Human experience . Mind blowing !

Tom Campbell

How Is This 80-Year-Old Scientist Turning Joe Rogan’s World Upside Down?

It’s a wild adventure for sure 💃🪩🕺

What’s the meaning of the 29/52? (I already noticed each book adds one)

this was a good book. He's way, way too into regulation for me, though. I wrote up a summary as I went if anyone is interested (its long!) https://vcavallo.nyc3.cdn.digitaloceanspaces.com/random/ref_the-coming-wave_mustafa-suleyman-to-share.pdf

Funny how calls for safety and regulation find easy success in the market

Is this pdf from a note (like a nostr note) or is it from a note app like obsidian or otherwise?

Obsidian, exported as pdf (that's why there are links to weird shit that don't make sense on their own). I have a set of obsidian notes hosted on the internet, too, but they need a lot of manual cleanup to separate the stuff that shouldn't be public and it's annoying to maintain.

I bet an LLM could make a decent cut that would just need sanity checking

I would need to check every single file because I've written some pretty personal stuff directly adjacent to "thinking aloud" sort of notes.

🤷🏻‍♂️ Maybe another LLM pass could identify most of those? Base case, reduction step, recursive call. AI feels no toil

I guess what I'm saying is, how could an LLM know if a particular sentence is something I don't want anyone else reading? Even if it claimed to know that, I couldn't be sure of it unless I read every one of them myself - which means I might as well do it myself to begin with if I'm going to demand 100% perfect coverage.

What I'm saying is, it's faster to skim something and recognize errors (edit) than it is to produce it (author). Assuming that there's even a vaguely categorical difference between personal and public, you can probably have an LLM separate these things. Each time you see something wrong, explain why it's wrong, and run it again. If nothing else, it's a valuable experiment in the capabilities of current systems. I've found Claude far exceeds my expectations in tasks like these.

Book No. 29 of 52 [jacks personal goal to read/listen (at least) 1 book a week in a/this year with 52 weeks]

What starts as a solid, early recognition of the trend devolves into a laundry list of frightened predictions, culminating in a love letter to global techno paternalism micromanaged by the flawless wisdom of benevolent experts. Presumably Jack chose this in order to destroy any remaining appetite we might have for solutions other than rough consensus and running code 🌊 View quoted note →