The central message of this wonderful #book is that humans feel special and apart from animals when they’re also just another animal.
We preach morality and purpose but in reality we live, eat, fuck and die.
Because we’re aware of our mortality, we get attached to the idea of final salvation: moderns want it via infinite progress in science and tech, Christians want it via the second coming of Jesus and spiritualists want it by becoming one with the self.
The treadmill of progress exists only in our minds.
Nature moves on with or without us, and with or without humanity.
We’re special only in our own eyes.
We’re not the masters of the universe but universe is our master.
• • •
Missing some Tweet in this thread? You can try to
force a refresh
Kicked off the 2nd batch of Turing’s Dream, the AI residency that I run in Bangalore!
Here’s what they’re upto…
1/ Adithya S Kolavi @adithya_s_k is a 4th year engineering student at PES.
In 2024, he set a target to achieve 10k stars across his github repositories
His most famous one is Omniparse and has 5.5k stars, it's a library that converts unstructured data into structured data for LLMs github.com/adithya-s-k/om…
@adithya_s_k 2/ Arjun Balaji @kaizen797 - 4th year engineering.
He's working with UPI team to detect money laundering using graph NNs. (it has trillion edges, so fun problem!)
He's also working with a Harvard team to map MRI images over time to 3D space to see how brain structures change!
Turing’s Dream first batch - who is in it and what they’re upto.
🧵
1/ Praveen Chavali - @praveen_chavali is exploring the math of neural networks, and is trying to build a black box optimization method for compressing large models into smaller models.
At yesterday’s tech deep dive, he showed why GANs never converge.
@praveen_chavali 2/ Mehul Goyal - @observerforever is a former hedge fund guy who is now exploring how to model time series data using deep networks.
Yesterday, he explained the problem formulation of predicting sharpe ratio via a reinforcement learning kind of a setup.
1/ I love thinking about thinking. Give me a research paper on rationality, cognitive biases or mental models, and I’ll gobble it up.
Given the amount of knowledge I’ve ingested on these topics, I had always assumed that I’m a clear thinker.
2/ Recently, though, it hit me like a lightning strike that this belief is counter-productive.
That’s because is you “know” that you’re a clear thinker, you’re less likely to suspect that you might be missing something big in your thought process.