The company became interested in the megasite primarily because of its mix of high-tension electricity transmission lines, natural gas lines, fiber connectivity, on-site power generation and access to water.
Category: employment – Page 5
Meet The New Amazon Robot That Can Feel What It Touches
Amazon has a new warehouse robot that, for the first time, can “feel” the items it’s handling. CNBC got an exclusive first look at Vulcan in action at a warehouse in Spokane, Washington, where it stows items in tall yellow bins. Until now, only humans could handle the stowing job, but Amazon says Vulcan will create new jobs instead of eliminating them. Amazon wouldn’t disclose how much it cost to develop Vulcan, but it says it took three years and a team that’s grown to 250 people.
Chapters:
0:00 Introduction.
1:24 Sense of touch.
5:30 Replacing workers?
8:22 Speed, safety and scale.
Produced and shot by: Katie Tarasov.
Edited by: Evan Lee Miller.
Senior Director of Video: Jeniece Pettitt.
Animation: Mallory Brangan.
Additional Footage: Amazon, Getty Images.
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NVIDIA CEO Jensen Huang | Rebuilding Industrial Power: AI Factories & the Return of US Manufacturing
NVIDIA CEO Jensen Huang discusses the concept of AI factories—systems that transform electricity into computational intelligence—and explains how AI represents an industrial revolution that will transform every industry, create new jobs in tech and trades, and enable advanced manufacturing through digital twins and physical AI.
Follow on X:
@jacobhelberg (Jacob Helberg)
YouTube: https://www.youtube.com/@HillValleyForum.
Apple: https://podcasts.apple.com/us/podcast/the-hill-valley-forum-podcast/id1692653857
Spotify: https://open.spotify.com/show/39s4MCyt1pOTQ8FjOAS4mi.
Timestamps:
(0:00) Introduction and Jensen’s opening statement on AI’s impact on jobs.
(0:38) Welcome and initial question about AI factories.
(3:17) Discussion of AI as a paradigm shift in modern computing.
(4:51) Explanation of physical AI and its evolution from perception to reasoning.
(9:46) Analysis of what the US needs to do to win the global AI race.
(13:04) Impact of AI on the workforce and job market.
(17:55) How AI enables reshoring and manufacturing through digital twins.
(22:19) Timeline predictions for AI-enabled robots becoming ubiquitous.
(23:52) Closing
AI Will Give Everyone The Power Of A 10,000-Person Company: Mark Zuckerberg
AI is slated to disrupt traditional jobs, but could also give all people previously unthinkable leverage.
Mark Zuckerberg, CEO of Meta Platforms, has shared some compelling thoughts on the future of artificial intelligence. On a podcast, he posited that AI will eventually surpass individual human intelligence, but, interestingly, argued that this is already happening in a certain sense. His core idea revolves around the combined intelligence of large organizations already functioning as a form of “superintelligence” that individuals can tap into, a power he believes AI will democratize.
“I think that we’re going to get general intelligence,” Zuckerberg stated. “We’re going to have systems that are smarter than any individual, and I think it’s mostly going to be very empowering for people.”
What If Everything Changed? | Robin Hanson | TEDxNorrköping
Whar may happen when the first truly smart robots appear, based on brain emulations or ems. Scan a human brain, then run a model with the same connections on a fast computer, and you have a robot brain, but recognizably human.
Train them to do some job and copy it a million times: an army of workers is at your disposal. When they can be made cheaply.
within perhaps a century, they will displace humans in most jobs.
In this new economic era, the world economy may double in size every few weeks.
Applying decades of expertise in physics, computer science, and economics.
and use ofstandard theories indicate a detailed picture of a world dominated by ems.
Associate Professor of Economics, and received his Ph.D in 1997 in social sciences from Caltech. Joined George Mason’s economics faculty in 1999 after completing a two year post-doc at U.C Berkely. His major fields of interest include health policy, regulation, and formal political theory. Recent book: The Age of Em: Work, Love and Life When Robots Rule The Earth. Oxford University Press, 2016.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community.
How Connectionism Is Reshaping the Future of Machine Learning | Pedro Domingos
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In this episode, renowned AI researcher Pedro Domingos, author of The Master Algorithm, takes us deep into the world of Connectionism—the AI tribe behind neural networks and the deep learning revolution.
From the birth of neural networks in the 1940s to the explosive rise of transformers and ChatGPT, Pedro unpacks the history, breakthroughs, and limitations of connectionist AI. Along the way, he explores how supervised learning continues to quietly power today’s most impressive AI systems—and why reinforcement learning and unsupervised learning are still lagging behind.
We also dive into:
The tribal war between Connectionists and Symbolists.
The surprising origins of Backpropagation.
How transformers redefined machine translation.
Why GANs and generative models exploded (and then faded)
The myth of modern reinforcement learning (DeepSeek, RLHF, etc.)
The danger of AI research narrowing too soon around one dominant approach.
Whether you’re an AI enthusiast, a machine learning practitioner, or just curious about where intelligence is headed, this episode offers a rare deep dive into the ideological foundations of AI—and what’s coming next.
Fake job seekers are flooding U.S. companies that are hiring for remote positions, tech CEOs say
That’s because the candidate, whom the firm has since dubbed “Ivan X,” was a scammer using deepfake software and other generative AI tools in a bid to get hired by the tech company, said Pindrop CEO and co-founder Vijay Balasubramaniyan.
“Gen AI has blurred the line between what it is to be human and what it means to be machine,” Balasubramaniyan said. “What we’re seeing is that individuals are using these fake identities and fake faces and fake voices to secure employment, even sometimes going so far as doing a face swap with another individual who shows up for the job.”
Companies have long fought off attacks from hackers hoping to exploit vulnerabilities in their software, employees or vendors. Now, another threat has emerged: Job candidates who aren’t who they say they are, wielding AI tools to fabricate photo IDs, generate employment histories and provide answers during interviews.
