Anil Ananthaswamy @anilananth
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] anilananthaswamy.com itinerant Joined April 2010-
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Couldn't imagine a better duo to accompany WHY MACHINES LEARN than Vectors by Robyn Arianrhod (@RArianrhod) and Alice’s Adventures in a differentiable wonderland by Simone Scardapane (@s_scardapane) ... No shortcuts; this is understanding AI/ML by going back to basics
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Would have loved to attend these classes!
Would have loved to attend these classes!
Anil Ananthaswamy retweeted
Thank you so much @anilananth for great talk at @iiscbangalore and signed book as well, looking forward to learn basic of how machines learn.
Anil Ananthaswamy retweeted
2/2 "Can the Conscious Turing Machine experience subjective feelings?" Lenore Blum (@BlumLenore) tackled this question in her talk at the Simon Institute's Smale@95: A Conference in Honor of Steve Smale. Video: simons.berkeley.edu/talks/lenore-b…
Anil Ananthaswamy retweeted
1/2 "We are claiming it's a specification for an AGI." — Manuel Blum. He and @BlumLenore talked of their model of consciousness, the Conscious Turing Machine (CTM), at the Simon Institute's Smale@95: A Conference in Honor of Steve Smale. Video: simons.berkeley.edu/talks/manuel-b…
Early this year, I met Ashish Vaswani, one of the authors of the "Attention Is All You Need" paper, and that inspiring chat with him became the basis for the Afterword for the paperback edition of WHY MACHINES LEARN. In a moment of fun, Ashish graciously agreed to chalk up the…
If you are in Bangalore and near IISc on Sep 3rd, consider coming to this event
If you are in Bangalore and near IISc on Sep 3rd, consider coming to this event
That's some elite company for WHY MACHINES LEARN. Glad to see it :-)
That's some elite company for WHY MACHINES LEARN. Glad to see it :-)
Anil Ananthaswamy retweeted
Happy paperback publication week for @anilananth's timely book, WHY MACHINES LEARN! "A deep look at the mathematical innovations that made the AI revolution possible. One of the most useful books on AI that I've ever read!"— Cal Newport
Really looking forward to this book by @blaiseaguera
Really looking forward to this book by @blaiseaguera
Anil Ananthaswamy retweeted
1/2 "This is kind of shocking." Mikhail Belkin of @UCSD on how adding the same set of vectors to the activations of an LLM's transformer blocks can steer its output from, say, either English to Chinese, or Python to C++, at the Simons Institute. Video: simons.berkeley.edu/talks/mikhail-…
Sometime in Dec 2021, I got to talk to Ilya Sutskever, for my book WHY MACHINES LEARN (it was before the ChatGPT era; doubt I'd be able to do so now). Ilya said this about the math of deep learning that he encountered in the first papers he read on the subject (given to him by…
Anil Ananthaswamy retweeted
"What is so strange about machine learning in particular and AI more recently is that there is this puzzle of dimensionality." Mikhail Belkin of @UCSD at the Simons Institute's Smale@95: A Conference in Honor of Steve Smale. Video: simons.berkeley.edu/talks/mikhail-…
Anil Ananthaswamy retweeted
1/2 "Fundamentally, modern AI is just a mathematical object. Math is transforming the world...especially with respect to modern AI." Mikhail Belkin of @UCSD at the Simons Institute on the triumph and failure of mathematics as it relates to AI. Video: simons.berkeley.edu/talks/mikhail-…
Anil Ananthaswamy retweeted
2/2 Limits of Intelligence: “All the other questions are pure mathematical questions. Only this one is not mathematical...This question attracts me the most," said Yuan Yao at the Simons Institute's Smale@95: A Conference in Honor of Steve Smale. Video: simons.berkeley.edu/talks/yuan-yao…
Anil Ananthaswamy retweeted
1/2 In 1998, Fields medalist Steve Smale posed 18 math problems for the next century, including: "What are the limits of intelligence, both artificial and human?" Yuan Yao (@hkust) said this question inspired him the most, at the Simons Institute. Video: simons.berkeley.edu/talks/yuan-yao…
Anil Ananthaswamy retweeted
2/2 Leon Chua's work has shown that synapses are memristors, which remember their resistance after the voltage source is disconnected. "It remembers its past," said Chua, at the Simons Institute's Smale@95: A Conference in Honor of Steve Smale. Video: simons.berkeley.edu/talks/leon-chu…
Anil Ananthaswamy retweeted
1/2 The answer to today's energy hungry AI data centers might be memristors, said Leon Chua, quoting Geoffrey Hinton's claim about "mortal computation," where the hardware and what's learned are inseparable. Chua spoke at the Simons Institute. Video: simons.berkeley.edu/talks/leon-chu…
Anil Ananthaswamy retweeted
Still, none of the AI models can write. Is this the grounding problem? The models' reality is the words they were trained on; good writers also train on lots of words, but are in addition wonderful observers of a much broader reality. The writers' world models seem much deeper…
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