What happens when an intelligent species comes in contact with lesser intelligent one.
Is entrepreneurship ultimate display of skill and proficiency?
On question of whether software engineering jobs will go away, there are two opposing forces at work i.e. increasing software work, and AI automating lots of software writing tasks. Which force will win is tricky to predict.
Charlie Munger's mental model about dealing with a complex problem
LLMs are agents of knowledge distribution, latest tool in our long battle of reducing redundancy.
Categorisation is more of a crutch while dealing with new technologies, where possibilities are endless. Still, this analysis can be treated as an ignition point that structures the thought process, while facing the big question - what is possible with LLMs?
To label something, we have to stick knowns over an unknown. Therefore to understand LLMs better, lets use the tool of analogies.
Rapid rate of AI development pose an important question, is AI on a path of exponential growth to AGI, or is it going to plateau after a great productivity boost, as all technological trends do.
Why there are big unforeseen failures in markets, economies, corporations etc? Nassim Taleb’s book Black Swan has some answers. This post is tribute to that book.
