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The tech giant has been accused of tracking user activities even in “private mode.”

In a recent development, Google has reached a preliminary settlement in a lawsuit alleging that the search engine provider tracked the internet usage of millions who believed their browsing activities were private.


Google has agreed to settle a lawsuit claiming it secretly tracked the internet use of millions of people who thought they were doing their browsing privately.

This is a great invention.


Professor Mike Wooldridge asks: what is artificial intelligence? He compares how AI works and learns with how the human brain functions. Exploring the roots of AI, Mike reveals how Alan Turing devised the Imitation Game – a test of whether a machine answering a series of questions could pass as a human. The audience in the lecture theatre play a real-life version of the game to find out if AI can pass this test today. In this lecture, Mike examines real-life neurons in action and explains how artificial neural networks are inspired by neural structures in the brain. To demonstrate how AI learns, we watch drones as they are trained to recognise and fly through structures in the lecture theatre autonomously. AI exploded into the public consciousness in 2022 with the release of ChatGPT and boasts around 100 million monthly users. Mike unravels the mystery of how large language models like ChatGPT work, and he finds out if one day this technology — along with a whole suite of different AI tools — will allow us to understand the animals we share this planet with. The Christmas Lectures are the most prestigious event in the Royal Institution calendar, dating from 1,825, when Michael Faraday founded the series. They are the world’s longest running science television series and always promise to inspire and amaze each year through explosive demonstrations and interactive experiments with the live theatre audience.\
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For anyone impatiently waiting on Ray Kurzweil’s new book, I stumbled across this a couple nights ago: https://open.spotify.com/episode/5Ff72Dwb5jNMJ4ifP0zsTf?si=2…VBpSdd8_mg


Listen to this episode from Lex Fridman Podcast on Spotify. Ray Kurzweil is an author, inventor, and futurist. Please support this podcast by checking out our sponsors: — Shopify: https://shopify.com/lex to get 14-day free trial — NetSuite: http://netsuite.com/lex to get free product tour — Linode: https://linode.com/lex to get $100 free credit — MasterClass: https://masterclass.com/lex to get 15% off — Indeed: https://indeed.com/lex to get $75 credit EPISODE LINKS: Ray’s Website: https://kurzweilai.net Ray’s Books: The Singularity Is Nearer (pre-order): https://amzn.to/3BNXmGR How To Create A Mind: https://amzn.to/3qqlkBw The Singularity Is Near: https://amzn.to/3DfXP5z The Age of Spiritual Machines: https://amzn.to/3RSjtAX Danielle: https://amzn.to/3Bww2N7 Transcend: https://amzn.to/3RAEYGV PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.

Tesla’s FSD V12 wide release has started, with plans to reach higher capability by next year, including the ability to drive through fog and potentially achieve true robot taxi capabilities.

Questions to inspire discussion.

What is Tesla’s FSD V12?
—Tesla’s Full Self-Driving version 12 is a new end-to-end neural network that allows the system to teach itself and learn on its own, with plans to reach higher levels of capability by next year.

Psychologists call it the dark triad: an intersection of three of the most malevolent tendencies of human nature – psychopathy, narcissism, and Machiavellianism.

But the truth goes deeper, and darker. There’s also egoism, sadism, spitefulness, and more. And behind this rogues gallery of all our worst inclinations on the surface, a central, common core of human darkness lies, researchers say.

In a 2018 study, psychologists from Germany and Denmark mapped this driving force behind all our darkest impulses and gave it a name. Meet D, the newly identified Dark Factor of Personality.

Engineers at Princeton University and Google have come up with a new way to teach robots to know when they don’t know. The technique involves quantifying the fuzziness of human language and using that measurement to tell robots when to ask for further directions. Telling a robot to pick up a bowl from a table with only one bowl is fairly clear. But telling a robot to pick up a bowl when there are five bowls on the table generates a much higher degree of uncertainty — and triggers the robot to ask for clarification.

Because tasks are typically more complex than a simple “pick up a bowl” command, the engineers use large language models (LLMs) — the technology behind tools such as ChatGPT — to gauge uncertainty in complex environments. LLMs are bringing robots powerful capabilities to follow human language, but LLM outputs are still frequently unreliable, said Anirudha Majumdar, an assistant professor of mechanical and aerospace engineering at Princeton and the senior author of a study outlining the new method.

“Blindly following plans generated by an LLM could cause robots to act in an unsafe or untrustworthy manner, and so we need our LLM-based robots to know when they don’t know,” said Majumdar.