Explore the history of artificial intelligence, from Alan Turing’s Turing Test to the latest breakthroughs in machine learning and natural language processing.
Category: robotics/AI – Page 1,396
Eliezer Yudkowsky: GPT-4 should not be open sourced | Lex Fridman Podcast Clips
Lex Fridman Podcast full episode: https://www.youtube.com/watch?v=AaTRHFaaPG8
Please support this podcast by checking out our sponsors:
- Linode: https://linode.com/lex to get $100 free credit.
- House of Macadamias: https://houseofmacadamias.com/lex and use code LEX to get 20% off your first order.
- InsideTracker: https://insidetracker.com/lex to get 20% off.
GUEST BIO:
Eliezer Yudkowsky is a researcher, writer, and philosopher on the topic of superintelligent AI.
PODCAST INFO:
Podcast website: https://lexfridman.com/podcast.
Apple Podcasts: https://apple.co/2lwqZIr.
Spotify: https://spoti.fi/2nEwCF8
RSS: https://lexfridman.com/feed/podcast/
Full episodes playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4
Clips playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOeciFP3CBCIEElOJeitOr41
SOCIAL:
- Twitter: https://twitter.com/lexfridman.
- LinkedIn: https://www.linkedin.com/in/lexfridman.
- Facebook: https://www.facebook.com/lexfridman.
- Instagram: https://www.instagram.com/lexfridman.
- Medium: https://medium.com/@lexfridman.
- Reddit: https://reddit.com/r/lexfridman.
- Support on Patreon: https://www.patreon.com/lexfridman
Machine Learning Expert Calls for Bombing Data Centers to Stop Rise of AI
Won’t that just make enemies of AI?
One of the world’s loudest artificial intelligence critics has issued a stark call to not only put a pause on AI but to militantly put an end to it — before it ends us instead.
In an op-ed for Time magazine, machine learning researcher Eliezer Yudkowsky, who has for more than two decades been warning about the dystopian future that will come when we achieve Artificial General Intelligence (AGI), is once again ringing the alarm bells.
Yudkowsky said that while he lauds the signatories of the Future of Life Institute’s recent open letter — which include SpaceX CEO Elon Musk, Apple co-founder Steve Wozniak, and onetime presidential candidate Andrew Yang — calling for a six-month pause on AI advancement to take stock, he himself didn’t sign it because it doesn’t go far enough.
Teenager’s AI System for Detecting Deepfake Videos Wins Award
As deepfake videos become more widespread, counter programs that could make the internet a safer place are in development, too.
Greg Tarr, a 17-year-old student at Bandon Grammar School in County Cork, Ireland, has been declared the winner of the 2021 BT Young Scientist & Technologist of the Year (BTYSTE) award for his project “Towards Deepfake Detection”, per a press release.
Artificial Intelligence Is Teaching Us New, Surprising Things About the Human Mind
The world has been learning an awful lot about artificial intelligence lately, thanks to the arrival of eerily human-like chatbots.
Less noticed, but just as important: Researchers are learning a great deal about us – with the help of AI.
AI is helping scientists decode how neurons in our brains communicate, and explore the nature of cognition. This new research could one day lead to humans connecting with computers merely by thinking–as opposed to typing or voice commands. But there is a long way to go before such visions become reality.
Has GPT-4 really passed the startling threshold of human-level artificial intelligence? Well, it depends
Recent public interest in tools like ChatGPT has raised an old question in the artificial intelligence community: is artificial general intelligence (in this case, AI that performs at human level) achievable? An online preprint this week has added to the hype, suggesting the latest advanced large language model, GPT-4, is at the early stages of artificial general intelligence (AGI) as it’s exhibiting “sparks of intelligence”.
Using artificial intelligence to design innovative materials
Advanced materials are urgently needed for everyday life, be it in high technology, mobility, infrastructure, green energy or medicine. However, traditional ways of discovering and exploring new materials encounter limits due to the complexity of chemical compositions, structures and targeted properties. Moreover, new materials should not only enable novel applications, but also include sustainable ways of producing, using and recycling them.
Researchers from the Max-Planck-Institut für Eisenforschung (MPIE) review the status of physics-based modelling and discuss how combining these approaches with artificial intelligence can open so far untapped spaces for the design of complex materials.
They published their perspective in the journal Nature Computational Science (“Accelerating the design of compositionally complex materials via physics-informed artificial intelligence”).