Anil Ananthaswamy
@anilananth
Followers
14K
Following
4K
Media
631
Statuses
5K
Sci journalist/TED speaker/MIT KSJ Fellow/Books: The Edge of Physics, The Man Who Wasn't There, Through Two Doors at Once / Mastodon: @[email protected]
itinerant
Joined April 2010
Don't know how other authors feel, but seeing the first physical copy of your book, after years of looking at Word files and PDFs. Seems surreal. It's as if someone else wrote it. Anyway, this advance copy arrived in the mail. One more month to pub date
101
214
2K
RT @anilananth: A year ago, WHY MACHINES LEARN was about to be released. I recall being really nervous. Would the book would serve any purp….
0
6
0
RT @Mario_Livio: Today is July 14. #OTD in 2017 mathematician Maryam Mirzakhani passed away. Her research topics included Teichmüller theor….
0
3
0
A year ago, WHY MACHINES LEARN was about to be released. I recall being really nervous. Would the book would serve any purpose? It had lots of journalistic storytelling, but it also had equations, plenty of it, and so was neither a pure popular science treatment of ML/AI nor a
5
6
41
RT @Saganismm: Did you know?. On December 13, 1973, Isaac Asimov wrote a brief but memorable letter to Carl Sagan, prompted by his reading….
0
123
0
RT @SimonsInstitute: What's obfuscation in computing? @UCLA's Amit Sahai jokingly began his tutorial with a "gruesomely human" analogy, at….
0
6
0
Thanks for the wonderful review, @Manuel_do_rio! For anyone wanting to know more about WHY MACHINES LEARN, Manuel does a masterful job of explaining what the book is about. .
Twenty-third book of the year finished: Why Machines Learn, by @anilananth. You can watch a video review of it here:.
0
1
11
There have been studies demonstrating "metacognition" in LLMs (the anthropomorphizing notwithstanding). So, it's not surprising that LLMs also show "metacognitive incoherence," and this has consequences for LLM safety. In the paper, "The Bitter Lesson of Misuse Detection," the
5
5
43
RT @SimonsInstitute: 2/2 Private-key cryptography might be more secure. The typical schemes "seem immune to Shor's algorithm," but might ne….
0
2
0
RT @SimonsInstitute: 1/2 Today's classical public-key cryptography is vulnerable to adversarial quantum attacks —@NttResearch's Mark Zhandr….
0
3
0
RT @SimonsInstitute: "We need more (connections with) theory" — UC Berkeley's Sanjit Seshia, arguing for pushing theory into the design of….
0
6
0
RT @SimonsInstitute: Have we achieved AGI? No, said UC Berkeley's Stuart Russell at the Simons Institute's workshop on Theoretical Aspects….
0
5
0
Last week, at the @IITMAA alumni event in Bangalore, I got to meet my project thesis advisor, Dr. Ashok Jhunjhunwala, after decades! I recall being a young Ashok's first project thesis student; he didn't remember it as such (being his first student, that
2
0
19
The dangers of using Chains-of-thought (CoT) to interpret an LLM's behavior. @Yoshua_Bengio and colleagues show that "verbalised chains are frequently unfaithful, diverging from the true hidden computations that drive a model's predictions, and giving an incorrect picture of how.
2
0
15
RT @debasishg: Finally got to complete reading this fascinating book on AI - Why Machines Learn by @anilananth. It took me quite some time….
0
6
0
A thought-provoking essay by @Yale computer scientist @NisheethVishnoi on whether AIs of today can truly discover something new. "But what truly counts as a scientific discovery? . Today’s AI excels at recognizing structure, but not at reframing it. It doesn't invent.
2
4
14
About this time a year ago, WHY MACHINES LEARN was due for release. Was cleaning up old files, and found this publicity animation that my publisher had sent me. Seems quaint now. How time flies . It's nearly time for the paperback edition (Aug end).
0
0
14