LEARN HOW TO TRAIN ROBOTS: https://deeplearningcourses.com/?utm_source=youtube&utm_mediâŠ=jan082025
Category: robotics/AI – Page 416
Elon Musk JUST Dropped Massive Bombshell on Tesla Bots, Neuralink and Major Tesla Updates | CES 2025
At CES 2025, Elon Musk joined Mark Penn the Stagwell CEO, and 25 CMOs to discuss AI, robotics, Neuralink, space exploration, and Mars colonization. Musk shared bold predictions on AIâs role in cognitive tasks, humanoid robots, autonomous cars, and Xâs future as a platform for collective human consciousness. They also explored governmentâs role in tech, internet connectivity, and combating global pessimism.
00:00 Introduction and Welcome.
01:52 Elon Musk on AI and Future Technology.
05:12 Advancements in Self-Driving Cars.
07:23 Humanoid Robots and Their Impact.
09:26 Mars Colonization Plans.
11:24 Neuralink and Brain-Computer Interfaces.
14:03 Government Efficiency and Budget Cuts.
17:49 Freedom of Speech and Social Media.
23:50 Optimism for the Future.
Buying a Tesla? Use my referral link and get up to $2,000 off.
https://ts.la/herbert23392
My daughter: https://ts.la/amanda443323
My website: https://www.HerbertOng.com.
Check out 15+ modules of resources for the $TSLA Investor.
and get free TESLA Milestone Tables.
Join this channel or Patreon to get free access to 15+ modules of TSLA investor resources.
Become a Member: / @brighterwithherbert.
Multiverse simulation: Robotic AI is about to accelerate sharply
The AI behavior models controlling how robots interact with the physical world havenât been advancing at the crazy pace that GPT-style language models have â but new multiverse âworld simulatorsâ from Nvidia and Google could change that rapidly.
Thereâs a chicken-and-egg issue slowing things down for AI robotics; large language model (LLM) AIs have enjoyed the benefit of massive troves of data to train from, since the Internet already holds an extraordinary wealth of text, image, video and audio data.
But thereâs far less data for large behavior model (LBM) AIs to train on. Robots and autonomous vehicles are expensive and annoyingly physical, so data around 3D representations of real-world physical situations is taking a lot longer to collect and incorporate into AI models.
AI could crack unsolvable problems â and humans wonât be able to understand the results
AI promises to help scientists do more, faster, with less money. But it brings a host of new concerns, too â and if scientists rush ahead with AI adoption they risk transforming science into something that escapes public understanding and trust, and fails to meet the needs of society.
Experts have already identified at least three illusions that can ensnare researchers using AI.
Dr. Marcia McNutt â President, National Academy of Sciences â Shaping Culture & Conduct Of Science
Shaping The Culture & Conduct Of Science â Dr. Marcia McNutt Ph.D. â President, National Academy Of Sciences
Dr. Marcia McNutt, Ph.D. is President of the National Academy of Sciences (https://www.nasonline.org/directory-eâŠ), where she also chairs the National Research Council, the operating arm of the National Academies of Sciences, Engineering, and Medicine, and serves a key role in advising our nation on various important issues pertaining to science, technology, and health.
From 2013 to 2016, Dr. McNutt served as editor-in-chief of the Science journals.
Dr. McNutt is a geophysicist who prior to joining Science, was director of the U.S. Geological Survey (USGS) and science adviser to the United States Secretary of the Interior from from 2009 to 2013. During her tenure, the USGS responded to a number of major disasters, including earthquakes in Haiti, Chile, and Japan, and the Deepwater Horizon oil spill.
Dr. McNutt led a team of government scientists and engineers at BP headquarters in Houston who helped contain the oil and cap the well. She directed the flow rate technical group that estimated the rate of oil discharge during the spillâs active phase. For her contributions, she was awarded the U.S. Coast Guardâs Meritorious Service Medal.
Entering The Artificial General Intelligence Spectrum In 2025
Technological development has hit warp speed â in a flash, stars have stretched into starlines and where we are today is far from where we were just days ago. Itâs increasingly difficult to predict where we will be tomorrow.
One thing is clear: we are entering the Artificial General Intelligence (AGI) spectrum and Artificial Superintelligence (ASI) now seems clearly within reach. However it is defined, AGI will not appear suddenly; it will evolve and already we see signs of its incremental unfolding.
AGI has long been the ultimate goalâa technology capable of performing the mental work of humans, transforming how we work, live, think. Now, as we step into 2025, glimmers of AGI are already appearing and promise to grow stronger as the year moves along.
CEO Who Bragged About Replacing Workers With AI Now Distressed That AI Will Replace His Job Too
Last month, Klarna CEO Sebastian Siemiatkowski boasted that he hadnât hired anyone in a year as a result of his company embracing AI.
Klarnaâs workforce had shrunk by about 22 percent since doubling down roughly a year ago. Meanwhile, the company has amassed a valuation of well over $14 billion, in what Siemiatkowski frames as a financially successful bid to cash in on the hype surrounding AI.
The fintech company, which offers âbuy now, pay laterâ services for the e-commerce industry, made a big fuss about its OpenAI ChatGPT integration, gushing that its AI assistant could do the work of â700 full-time agentsâ in a February press release.
