How the Hell

All I say is by way of discourse, and nothing by way of advice. I should not speak so boldly if it were my due to be believed.

The hottest Substack posts of How the Hell

And their main takeaways

There's a big debate about whether the money being spent on AI will actually lead to good returns. Some think it's like the dotcom bubble, where lots of investments were made without solid profits.
For AI investments to really pay off, AGI (Artificial General Intelligence) needs to be created, and it must come from the companies that investors are backing today. If it comes from new, unseen companies, current investors might not benefit.
Many things need to align for investors to make money from AGI, like avoiding human extinction and ensuring that money still means something in a future shaped by AGI. The odds of everything working out perfectly are pretty low.

LLMs have different layers, like humans do. Lower layers handle basic language, while higher layers form more complex ideas.
These models might develop their own unique structures for understanding visuals, since they don't see like humans do.
There could be even higher layers that aren't just about language but add more complexity. It's still unclear how we might study these structures.

The price of cognitive work, measured in 'cycogs,' varies widely and changes how much people might buy depending on cost. As the price goes down, more people are likely to use this intelligence.
At different price points, people's spending on cognitive work can increase significantly. For example, if cycogs cost $1, people might buy a lot more because it allows for more access to services and creative projects.
As technology improves and costs drop, traditional jobs in knowledge work might decline because many will prefer custom, AI-generated solutions for their needs.