Anil Ananthaswamy
anilananth.bsky.social
Anil Ananthaswamy
@anilananth.bsky.social
Journalist with bylines in Nature, Quanta, Scientific American, New Scientist, and many more; former deputy news editor at New Scientist Author of 4 popular science books, including WHY MACHINES LEARN: The Elegant Math Behind Modern AI; TED speaker
The AI community is pivoting to world models, to overcome the limitations of LLMs. But "world models" have a storied history in psychology and cognitive science. My first in a series exploring world models, for the WHERE MACHINES THINK substack. wheremachinesthink.substack.com/p/the-case-f...
The Case For World Models, Part I: The Neuroscientific Reason
Fei-Fei Li, Yann LeCun, Demis Hassabis and others are pushing for AIs that learn world models, to plan & predict accurately. Neuroscientists have known for decades that our brains must be doing this
wheremachinesthink.substack.com
February 9, 2026 at 9:31 AM
To understand how the Transformer came to be, we need to understand why ML researchers focused their attention on, well, attention. Part II of the primer on LLMs and Transformers, on RNNs and the Era Before Attention. The WHERE MACHINES THINK Substack. wheremachinesthink.substack.com/p/rnns-and-t...
RNNs and the Era Before Attention: Part II of Primer on LLMs and Transformers
Well before attention became a thing, deep learning researchers were focused on recurrent neural networks for processing sequences—but there was an elephant in the room, a huge bottleneck
wheremachinesthink.substack.com
February 5, 2026 at 2:24 AM
Transformer-based LLMs are the most significant technology of the past decade. This is the first in a series of posts for the WHERE MACHINES THINK Substack, exploring Transformers/LLMs at various levels of abstraction, digging deeper with each post. wheremachinesthink.substack.com/p/a-primer-o...
A Primer on Large Language Models and Transformers. Part I: A High-Flying Bird's Eye-View
Transformer-based LLMs are the most significant technology of the past decade. This is first in a series of posts exploring Transformers at various levels of abstraction, digging deeper with each post
wheremachinesthink.substack.com
January 25, 2026 at 3:15 PM
I'm starting a Substack newsletter, WHERE MACHINES THINK (just imagine scare quotes around the word think, to maintain appropriate skepticism). The welcome post is here: wheremachinesthink.substack.com/p/welcome-to...
Welcome to WHERE MACHINES THINK
Exploring and understanding the mathematical spaces that enable artificial (and maybe natural) intelligence. Essays and analyses at the intersection of machine learning, neuroscience and physics
wheremachinesthink.substack.com
January 8, 2026 at 2:30 PM
Starting the New Year at my alma mater, IIT-Madras, where I did my BTech decades ago. I've joined
@iitmadras.bsky.social as Professor of Practice, Dept. of Data Science & AI. Campus feels the same yet different! Deer, monkeys, banyan trees, they are all there, as are more students, new buildings...
December 31, 2025 at 4:17 PM
Reposted by Anil Ananthaswamy
This was excellent, with notably clear explanations. Well done @anilananth.bsky.social
Mindscape 336 | Anil Ananthaswamy @anilananth.bsky.social on the Mathematics of Neural Nets and AI. Everyone is talking about AI these days, why not impress your friends with some math? #MindscapePodcast

www.preposterousuniverse.com/podcast/2025...
November 28, 2025 at 8:11 AM
Reposted by Anil Ananthaswamy
Mindscape 336 | Anil Ananthaswamy @anilananth.bsky.social on the Mathematics of Neural Nets and AI. Everyone is talking about AI these days, why not impress your friends with some math? #MindscapePodcast

www.preposterousuniverse.com/podcast/2025...
November 24, 2025 at 1:11 PM
Reposted by Anil Ananthaswamy
An AI model called V-JEPA is capable of “intuiting” the physical properties of the real world, gaining a sense of object permanence, the constancy of shape and color, and the effects of gravity. @anilananth.bsky.social reports:

www.quantamagazine.org/how-one-ai-m...
How One AI Model Creates a Physical Intuition of Its Environment | Quanta Magazine
The V-JEPA system uses ordinary videos to understand the physics of the real world.
www.quantamagazine.org
October 3, 2025 at 2:48 PM
Reposted by Anil Ananthaswamy
This book by @anilananth.bsky.social is great — perfect for those, like me, who have an intuitive and geometric grasp of math but unfortunately no formal training. Highly recommended!
October 1, 2025 at 3:47 PM
Reposted by Anil Ananthaswamy
A nice article by @anilananth.bsky.social on using AI to explore design spaces, find unexpected solutions, (re)discover symmetries, and propose new relationships featuring @yuqirose.bsky.social @mariokrenn.bsky.social & myself.
Note AI ≠ LLMs in this piece.
www.quantamagazine.org/ai-comes-up-...
AI Comes Up with Bizarre Physics Experiments. But They Work. | Quanta Magazine
Artificial intelligence software is designing novel experimental protocols that improve upon the work of human physicists, although the humans are still “doing a lot of baby-sitting.”
www.quantamagazine.org
July 22, 2025 at 1:58 PM
Reposted by Anil Ananthaswamy
"AI Comes Up with Bizarre Physics Experiments. But They Work." by @anilananth.bsky.social @quantamagazine.bsky.social:

www.quantamagazine.org/ai-comes-up-...

Covering our work with Rana Adhikari @ligo.org on discovering GW detectors & work by @yuqirose.bsky.social & @kylecranmer.bsky.social on ...
AI Comes Up with Bizarre Physics Experiments. But They Work. | Quanta Magazine
Artificial intelligence software is designing novel experimental protocols that improve upon the work of human physicists, although the humans are still “doing a lot of baby-sitting.”
www.quantamagazine.org
July 21, 2025 at 7:33 PM
Thank you, David
Finished reading @anilananth.bsky.social's book, Why Machines Learn. This was an excellent read. I feel that the context and history for which science develops helps my understanding. His prose and explanations were better than anything else I have yet to encounter in my Computer Science education.
July 2, 2025 at 3:26 PM
Reposted by Anil Ananthaswamy
Finished reading @anilananth.bsky.social's book, Why Machines Learn. This was an excellent read. I feel that the context and history for which science develops helps my understanding. His prose and explanations were better than anything else I have yet to encounter in my Computer Science education.
July 2, 2025 at 3:07 PM
1/4 These days most writers, including me, get asked: "Will you use AI to help you write?" My answer is: No. Not because I'm inherently against the idea, but because it undercuts the very reason I became a writer...
June 4, 2025 at 1:44 AM
Reposted by Anil Ananthaswamy
"Why machines learn" by @anilananth.bsky.social is an amazing book that teaches the fundamental math concepts behind machine learning and artificial intelligence. I lost count of the "aha!" moments I experienced while reading this masterpiece. I loved it! #AI #math
May 25, 2025 at 1:22 PM
When I proposed WHY MACHINES LEARN in Oct 2020, to my then editor Stephen Morrow, @carpenter512.bsky.social, I was sure he'd say no to a book full of math & equations. But he saw something in the proposal that even I hadn't and said yes, and I'm grateful for that! Got to thank him today in person.
May 19, 2025 at 11:23 PM
Reposted by Anil Ananthaswamy
I have just started reading this fantastic book by @anilananth.bsky.social. I look forward to diving into the hardcore #math behind machine learning! It will be a challenging journey, but a rewarding one. 🤖
May 16, 2025 at 6:32 PM
Looking forward to reading this @rowhoop.bsky.social ! Thanks...
Nooooo, not the double slit!!! Cc @anilananth.bsky.social
Huge story from @kpc.bsky.social - physicists are claiming that, despite all appearances, light isn't a wave after all, in an attempt to overturn a century-old interpretation of the double-slit experiment www.newscientist.com/article/2477...
April 30, 2025 at 11:45 AM
Thank you @ganyet.bsky.social. I love this line about WHY MACHINES LEARN: "This book is like an invitation to enter Mago Pop's workshop to realize that magic doesn't exist: that it's all mathematics, engineering, and a lot, a lot of human intelligence." I had to look up Mago Pop and Sant Jordi :-)
April 23, 2025 at 6:19 PM
The Centrality of Bayes's Theorem for Machine Learning.

It’s hard to overstate just how important Bayes’s Theorem — something that Thomas Bayes came up with in the 1700s — is for machine learning. But the theorem challenges our intuitions. Here’s a brief intro: anilananthaswamy.com/why-machines...
The Centrality of Bayes’s Theorem for Machine Learning — Anil Ananthaswamy
It’s hard to overstate just how important Bayes’s Theorem — something that Thomas Bayes, English minister and mathematician, came up with in the 1700s — is for making sense of machine learning. Bu...
anilananthaswamy.com
April 10, 2025 at 7:37 PM
Came out of my AL/ML bubble to write a 'crisis in cosmology' story, about a new study that uses TRGB stars to scale a new cosmic distance ladder to measure the Hubble constant; the tension persists...for @scientificamerican.bsky.social @leebillings.bsky.social scientificamerican.com/article/the-...
The Hubble Tension Is Becoming a Hubble Crisis
A long-simmering disagreement over the universe’s present-day expansion rate shows no signs of resolution, leaving experts increasingly vexed
scientificamerican.com
April 2, 2025 at 1:44 PM
Reposted by Anil Ananthaswamy
"For the first time, we can...get performant neural networks that mimic complex human & animal cognition," said @suryaganguli.bsky.social speaking on the symbiosis of AI & neuroscience at the Simons Institute. "That's remarkable and exciting. Caveats...to follow" simons.berkeley.edu/talks/surya-...
March 6, 2025 at 2:35 AM
Reposted by Anil Ananthaswamy
I had a great time talking with @anilananth.bsky.social as part of the Simons Institute Polylogues. We cover universal learning, generalization phenomena, how transformers are both surprisingly general but also limited, and the difference between statistics and ML! www.youtube.com/watch?v=Aja0...
Andrew Gordon Wilson | Polylogues
YouTube video by Simons Institute
www.youtube.com
February 28, 2025 at 2:52 PM
Reposted by Anil Ananthaswamy
I went through my RL bookmarks, because it seems like finally the rest of the world has caught up to my world, I rediscovered this gem 💎 mpatacchiola.github.io/blog/2016/12... although I suspect nobody wants to learn RL this way now 😜
Dissecting Reinforcement Learning-Part.1
Explaining the basic ideas behind reinforcement learning. In particular, Markov Decision Process, Bellman equation, Value iteration and Policy Iteration algorithms, policy iteration through linear alg...
mpatacchiola.github.io
January 28, 2025 at 4:50 AM