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Science Writer & Editor

Date & Time

Wednesday Wed, 29 Mar 2023 6:30 pm — 8:00 pm
All BIC events are free to attend. Open to all.


Bangalore International Centre
7, 4th Main Road, Domlur II Stage
Bangalore, Karnataka 560071 India
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+91 98865 99675 bic@bangaloreinternationalcentre.org

There are reports of cab drivers in the US asking their passengers: “Have you heard of ChatGPT?” This cultural phenomenon is indicative of an inflection point in the development of artificial intelligence. ChatGPT is a large language model (LLM), a kind of AI called a deep neural network.

In this talk, Anil Ananthaswamy will explain the conceptual underpinnings of deep neural networks, LLMs, how they are trained, and curious emergent properties they are beginning to display (such as being able to solve math problems, even though they weren’t specifically trained to do so). The talk will also highlight the dangers of large language models, as they are currently designed, and why it’s important for society to become aware of the promises and perils of such AIs, as the technology has reached a point of no return.

This session will be followed by a Q&A with the audience.


Anil Ananthaswamy

Science Writer & Editor

Anil Ananthaswamy is an award-winning science writer, former staff writer and deputy news editor for New Scientist magazine. He is a 2019-20 MIT Knight Science Journalism fellow. He organizes and teaches an annual science writing workshop at the National Centre for Biological Sciences in Bengaluru, India. He writes for regularly for New Scientist, Quanta, Scientific American, PNAS Front Matter and Nature, among others. His first book, The Edge of Physics, was voted book of the year in 2010 by UK’s Physics World, and his second book, The Man Who Wasn’t There, was long-listed for the 2016 Pen/E. O. Wilson Literary Science Writing Award. His most recent book, Through Two Doors at Once was named one of Smithsonian’s Favorite Books of 2018 and one of Forbes’s 2018 Best Books About Astronomy, Physics and Mathematics. Anil’s next book, Why Machines Learn: The Elegant Math Behind Modern AI, will be published by Dutton, Penguin Random House, in Jan 2024.