🤖🦾💰A bot for only $35K! Next year $18K?
“” We’ve reached a tipping point where the technology and cost curves have intersected,” explains Dr. Li Wei, robotics analyst at Beijing Technological Institute. ” A humanoid robot that cost $100,000 last year now sells for under $35,000, with prices expected to halve again by 2026.”
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HUGE AI breakthrough: Absolute Zero Reasoner deep dive. Self-improving AI that learns with no data! #ai #aitools #ainews #llm.
Sources:
https://arxiv.org/abs/2505.03335
https://github.com/LeapLabTHU/Absolut… Thanks to Tavus for sponsoring this video. Try Tavus for free https://tavus.plug.dev/T4AQw5K 0:00 Absolute Zero intro 0:50 Traditional methods of training AI models 4:00 Absolute Zero algorithm 5:01 How Absolute Zero Reasoner works 7:19 Types of training tasks 9:00 How good is Absolute Zero 10:47 Tavus 12:11 Adding Absolute Zero to existing models 13:01 Interesting findings 15:43 Uhoh… 16:50 Ablation study 18:15 More interesting findings Newsletter: https://aisearch.substack.com/ Find AI tools & jobs: https://ai-search.io/ Support: https://ko-fi.com/aisearch Here’s my equipment, in case you’re wondering: Dell Precision 5690: https://www.dell.com/en-us/dt/ai-tech… Nvidia RTX 5,000 Ada https://nvda.ws/3zfqGqS Mouse/Keyboard: ALOGIC Echelon https://bit.ly/alogic-echelon Mic: Shure SM7B https://amzn.to/3DErjt1 Audio interface: Scarlett Solo https://amzn.to/3qELMeu.
Thanks to Tavus for sponsoring this video. Try Tavus for free https://tavus.plug.dev/T4AQw5K
0:00 Absolute Zero intro.
0:50 Traditional methods of training AI models.
4:00 Absolute Zero algorithm.
5:01 How Absolute Zero Reasoner works.
7:19 Types of training tasks.
9:00 How good is Absolute Zero.
10:47 Tavus.
12:11 Adding Absolute Zero to existing models.
13:01 Interesting findings.
15:43 Uhoh…
16:50 Ablation study.
18:15 More interesting findings.
Newsletter: https://aisearch.substack.com/
Find AI tools & jobs: https://ai-search.io/
Support: https://ko-fi.com/aisearch.
Here’s my equipment, in case you’re wondering:
Yes, AI is coming for jobs – 300 million of them, supposedly. But while middle-class professionals are grappling with an automated future, someone still needs to lay the bricks and fix your boiler, writes Zoë Beaty
EPFL researchers have discovered key “units” in large AI models that seem to be important for language, mirroring the brain’s language system. When these specific units were turned off, the models got much worse at language tasks.
Large language models (LLMs) are not just good at understanding and using language, they can also reason or think logically, solve problems and some can even predict the thoughts, beliefs or emotions of people they interact with.
Despite these impressive feats, we still don’t fully understand how LLMs work “under the hood,” particularly when it comes to how different units or modules perform different tasks. So, researchers in the NeuroAI Laboratory, part of both the School of Computer and Communication Sciences (IC) and the School of Life Sciences (SV), and the Natural Language Processing Laboratory (IC), wanted to find out whether LLMs have specialized units or modules that do specific jobs. This is inspired by networks that have been discovered in human brains, such as the Language Network, Multiple Demand Network and Theory of Mind network.
AI will do the thinking, robots will do the doing. What place do humans have in this arrangement – and do tech CEOs care? says Ed Newton-Rex, founder of Fairly Trained
🤖💰🦾Bots coming for your job. David Shapiro explains it succinctly.
All my links: https://linktr.ee/daveshap.
00:00 — Chatbots Saturation.
05:39 — CEO Memo
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.
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 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
