Seeds

Lately, there’s been quite some interest in LLM, thanks to ChatGPT

 

Write two paragraphs in the style of Tim Ferriss in the style of The Four-hour Workweek explaining on how to generate passive income with ChatGPT

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But that’s not all. Another way to generate passive income with ChatGPT is by creating and selling digital products, such as e-books or online courses, related to the topics covered by ChatGPT. By leveraging your expertise and knowledge, you can create a valuable resource for your audience while also generating passive income. And with platforms like Udemy and Teachable, it’s never been easier to create and sell digital products online. So why not take advantage of ChatGPT’s wealth of knowledge and expertise and start generating passive income today?

Plagiarism

One of the big concern du jour is plagiarism. Here’s an interesting piece by Noam Chomsky in the

Noam Chomsky: The False Promise of ChatGPT – New York Times.

The human mind is a surprisingly efficient and even elegant system that operates with small amounts of information; it seeks not to infer brute correlations among data points but to create explanations.

And a more elaborate conversation:

Emergence

However, it seems there is a little more at stake. A former classmate of mine who works at Microsoft talked about sparks of Artificial General Intelligence in a podcast – there are emergent properties in AI, meaning that it does not only remix text, but also seem to have an ability to create things merely from structure (short of being able to think.)

AI Frontiers: The Physics of AI with Sébastien Bubeck – AI Frontiers podcast, Microsoft Research

 

ChatGPT 4.0 can generate code to make a unicorn, even though it has no notion of what a unicorn is, and that code is procedural. (excerpt from Bubeck’s lecture atBerkeley on sparks of AGI)

Physics of AI

The same friend is actually exploring what he dubs the Physics of AI: trying not to understand why AI works, but under what circumstances you can make it work.

Excerpt from Bubeck’s lecture on the Physics of AI

 

The key insights (nevermind the jab at physicists!) is that there are weird phase transitions at work: depending on how you pick your learning parameters, you can get wildly different results – turning the teaching of the machines into an art itself.

(update March 2024: check out this fascinating analysis from Sohl Dickstein on how Neural network training makes beautiful fractals)

Liability

Computers are great, but –

IBM slide from 1979 (from MIT CSAIL)

In the end, humans will be only be there for liability. In  a way this is how American society has evolved.

ChatGPT as anonymous expert

Personally, I think that the ability to get answers to question without the fear judgement – asking dumb or intimate questions  – will have an incredible impact, perhaps more than the productivity gains that are touted by experts (sure – you can generate reports with AI, then summarize these reports with AI: perhaps the thought should have been boiled down i. the first place.)

“To ask the right question is harder than to answer it.”
–Georg Cantor

There is still some room for human thinking.