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.
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.
What happens when AI surpasses human-level intelligence? And WHEN exactly is this likely to happen?
That’s the focus of the next Metatrend in this Age of Abundance series.
Human-level AI, often referred to as AGI (artificial general intelligence) or ASI (artificial super intelligence), has historically been defined as the ability of a machine program to pass the “Turing Test,” defined as the ability of an AI to perform human-level tasks in a fashion indistinguishable from us humans. This definition is no longer useful.
Sign up for the mailing list to get episode notifications and hear special announcements! https://mailchi.mp/1a6eb8f2717d/space… we detected the very first gravitational wave, a new window was opened to the mysteries of the universe. We knew we’d see things previously thought impossible. And we just did — an object on the boundary between neutron stars and black holes, which promises to reveal the secrets of both. Hosted by Matt O’Dowd Written by Matt O’Dowd Graphics by Leonardo Scholzer, Yago Ballarini, & Pedro Osinski Directed by: Andrew Kornhaber Camera Operator: Bahaar Gholipour Executive Producers: Eric Brown & Andrew Kornhaber Previous Episodes Referenced: Ligo’s First Detection of Gravitational Waves: • LIGO’s First Detection of Gravitation… The Future of Gravitational Waves: • The Future of Gravitational Waves How to build a black hole • How to Build a Black Hole Strange Stars — • Strange Stars | Space Time | PBS Digi… Special Thanks to Our Patreon Supporters Big Bang Supporters Robert Doxtator Ahmad Jodeh Caed Aldwych Radu Negulescu Alexander Tamas Morgan Hough Juan Benet Fabrice Eap David Nicklas Quasar Supporters Alec S-L Christina Oegren Mark Heising Vinnie Falco Hypernova Supporters william bryan Julian Tyacke Syed Ansar John R. Slavik Mathew Danton Spivey Donal Botkin John Pollock Edmund Fokschaner Joseph Salomone Hank S Matthew O’Connor chuck zegar Jordan Young John Hofmann Timothy McCulloch Gamma Ray Burst Supporters fieldsa eleanory Cody Lubinsky Peter Mertz Elliot Azizollahi Kevin O’Connell Bryan Dawley Richard Deighton Isaac Suttell Devon Rosenthal Oliver Flanagan Mikhail Klakotskiy Dawn M Fink Bleys Goodson Darryl J Lyle Robert Walter jechamt Bruce B Ismael Montecel M D Mark Daniel Cohen Andrew Richmond Simon Oliphant Mirik Gogri David Hughes Aria Ahmad Brandon Lattin Yannick Weyns Nickolas Andrew Freeman Protius Protius Brian Blanchard Shane Calimlim Tybie Fitzhugh Patrick Sutton Robert Ilardi Eric Kiebler Tatiana Vorovchenko Craig Stonaha Michael Conroy Graydon Goss Frederic Simon Greg Smith Sean Warniaha Tonyface John Robinson A G Kevin Lee Nick Wright Adrian Hatch Paul Rose Yurii Konovaliuk John Funai Cass Costello Geoffrey Short Bradley Jenkins Kyle Hofer Tim Stephani Luaan AlecZero Malte Ubl Nick Virtue Scott Gossett David Bethala Dan Warren John Griffith Daniel Lyons Josh Thomas DFaulk Kevin Warne Andreas Nautsch Brandon labonte.
When we detected the very first gravitational wave, a new window was opened to the mysteries of the universe. We knew we’d see things previously thought impossible. And we just did — an object on the boundary between neutron stars and black holes, which promises to reveal the secrets of both.
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Observing these types of stars is rare; only one was previously identified. Now, researchers have found a whole population of these stars in the Large and Small Magellanic Clouds, relatively nearby satellite galaxies of the Milky Way. The finding may give insight into hot helium stars, which are thought to be the start of neutron star mergers and hydrogen-poor core-collapse supernovae. The study was published this month in Science.
“Our work sheds light on these fascinating relationships, revealing a universe that is far more interconnected and active than we previously imagined,” says Bethany Ludwig, a PhD candidate at the University of Toronto and coauthor of the study, in a press release. “Just as humans are social beings, stars too, especially the massive ones, are rarely alone.”