“It’s getting slurped up by AI or people are gonna copy it, or something else like that.”
Category: robotics/AI
Watching Atoms Make Waves
A new microscope captures how atoms rearrange themselves when they are illuminated inside an optical cavity.
When light hits an atom, it exerts a force on the atom. As weak as these light-induced forces may be, understanding them allows scientists to levitate particles, create the coldest atomic gases in the Universe, operate solar sails, and observe gravitational waves. More exotic phenomena occur when light is confined between a pair of mirrors known as an optical cavity. When a gas of atoms is placed inside such a cavity, light emitted by one atom can be absorbed by another atom. Through the exchange of photons, each atom simultaneously tugs on all the other atoms, causing the ensemble to autonomously rearrange itself into a periodic pattern called a density wave. Now Jean-Philippe Brantut and his colleagues at the Swiss Federal Institute of Technology in Lausanne (EPFL) have built a microscope to, for the first time, image this light-induced density wave in an ultracold atomic gas [1].
Psychological traits of scientists predict their theories and research methods
The research team also wanted to see if survey responses translated to actual scientific output. They received permission from a portion of the participants to securely link their survey answers with their professional publication records.
The team utilized machine learning technology to analyze the text of the scientists’ published abstracts and article titles. The computer algorithms measured how closely the words and phrasing matched among different authors. They also built algorithms to map out who these scientists collaborated with and which older papers they cited as foundational literature.
The algorithms revealed that cognitive traits are associated with differences in real-world publishing activity. This remained true even when controlling for a researcher’s specific subfield and preferred tools. Two psychologists who study the exact same topic using identical methods are still more likely to cite the same reference materials if they happen to share similar internal thinking styles.
Microsoft removes Support and Recovery Assistant from Windows
Microsoft has deprecated and removed the Support and Recovery Assistant (SaRA) command-line utility from all in-support versions of Windows updates starting March 10.
SaRA is a free scriptable tool that helps troubleshoot and resolve common issues with Office, Microsoft 365, Outlook, and Windows by running a series of automated diagnostic tests on Windows 7, Windows 8, Windows 10, and Windows 11 systems.
According to Microsoft, the latest version of the utility should identify the root cause and then either automatically fix the issue, provide step-by-step instructions for a manual fix, or help users contact Microsoft support.
New Advances Bring the Era of Quantum Computers Closer Than Ever
From the article:
” home new advances bring the era of quantum computers closer than ever
Quantum computing New Advances Bring the Era of Quantum Computers Closer Than Ever By Charlie Wood April 3, 2026
Two research groups say they have significantly reduced the amount of qubits and time required to crack common online security technologies.
Kristina Armitage/Quanta Magazine Introduction Some 30 years ago, the mathematician Peter Shor(opens a new tab) took a niche physics project — the dream of building a computer based on the counterintuitive rules of quantum mechanics — and shook the world.
Shor worked out a way for quantum computers to swiftly solve a couple of math problems that classical computers could complete only after many billions of years. Those two math problems happened to be the ones that secured the then-emerging digital world. The trustworthiness of nearly every website, inbox, and bank account rests on the assumption that these two problems are impossible to solve. Shor’s algorithm proved that assumption wrong.
For 30 years, Shor’s algorithm has been a security threat in theory only. Physicists initially estimated that they would need a colossal quantum machine with billions of qubits — the elements used in quantum calculations — to run it. That estimate has come down drastically over the years, falling recently to a million qubits. But it has still always sat comfortably beyond the modest capabilities of existing quantum computers, which typically have just hundreds of qubits.
What is the point of humanoid robots?
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The Race to Harness Quantum Computing’s Mind-Bending Power | The Future With Hannah Fry
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What happens when human labor becomes mathematically obsolete? For thousands of years, the global economy has run on the biological engine of human workers. But a new era has arrived: The Physical Singularity.
In this video, we break down the brutal thermodynamics of the labor inversion, revealing how major AI companies are mass-producing humanoid robots that operate for just 57 cents an hour. We expose the massive industry shift from digital generation to “World Models,” and how China’s manufacturing miracle is driving hardware costs to zero. With 10 billion robots projected by the 2040s, experts like Geoffrey Hinton are warning of a hive-mind “alien intelligence.” The digital era is over. The physical agent era has begun.
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Sources & Research Links:
The 57¢ / Hour Labor Inversion Math: https://www.ark-invest.com/articles/valuation-models/ark-pub…oid-robots.
Unitree G1 Official $16,000 Pricing: https://www.unitree.com/g1/
China’s 2024 Robotics Dominance (IFR Report): https://ifr.org/ifr-press-releases/news/china-dominates-industrial-robot-market.
Elon Musk’s 10 Billion Robot Prediction: https://www.youtube.com/watch?v=ODsjGOGX_oM
Geoffrey Hinton on AI Hive Mind (“Immortality, but it’s not for us”): https://www.youtube.com/watch?v=qpoRO378qRY
Geordie Rose on Alien Intelligence (“The same way you don’t care about an ant”): https://www.youtube.com/watch?v=1pd4i2YlGmc.
DeepSeek AI Cost Efficiency Breakthroughs: https://www.deepseek.com/
Timestamps:
00;00 — The 57¢ Workforce & The Great Deception.
02;48 — The Math of the Labor Inversion.
05;01 — Why OpenAI Killed Sora (World Models)
09;16 — The Manufacturing Miracle: China’s Hardware Collapse.
12;53 — 10 Billion Robots & Alien Intelligence.
15;58 — How to Survive the Singularity.
Disclaimer:
The content in this video is for educational and informational purposes only and does not constitute financial or investment advice. The views and opinions expressed in this video are based on current research and industry trends, which are subject to rapid change. We do not guarantee the accuracy or completeness of the projections discussed. Copyright Disclaimer under section 107 of the Copyright Act 1976, allowance is made for “fair use” for purposes such as criticism, comment, news reporting, teaching, scholarship, education, and research.
#PhysicalSingularity #HumanoidRobots #ArtificialIntelligence #OpenAI #FutureOfWork #TechTrends
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Space Updates / Overmedicated Children
In the first half, space historian and author Rod Pyle discussed the renewed U.S. lunar ambitions under NASA’s Artemis program, along with other space news. Describing the recent Artemis rocket launch as “smooth as silk,” he praised the Space Launch System (SLS), though he acknowledged its high cost and reliance on shuttle-era technology. He explained that the SLS was built under NASA’s traditional cost-plus contracting model, contrasting it with private-sector efforts like SpaceX and Blue Origin, which assume more financial risk. Comparing Artemis to the Apollo-era Saturn V, Pyle noted both rockets are “remarkable machines” suited to their missions, but highlighted that Artemis cannot carry both the lunar module and capsule in a single launch as Saturn V did.
He outlined the Artemis timeline, with Artemis III originally planned for a Moon landing next year, now delayed to Artemis IV in 2028. Pyle also commended NASA chief Jared Isaacman for navigating budgetary challenges and advancing the Artemis program despite delays. Reflecting on the historic Apollo 8 mission as “a remarkably daring and dangerous mission” driven by Cold War geopolitics, he recalled the iconic “reading of Genesis from lunar orbit” and the transformative Earthrise photo. Elon Musk’s pivot from Mars to the Moon was driven by financial incentives and NASA funding delays, he suggested, noting that lunar missions are “a few days away, instead of seven or eight months,” making the Moon a more achievable target.
Addressing current spacefaring nations, the guest identified the U.S., Russia, China, Japan, and India as major players, with China rapidly advancing. China’s lunar program is “very steady and consistent,” Pyle said, and is aiming for a 2029–2030 landing that will replicate Apollo 11’s short visit, with longer-term plans for a lunar base. He raised the question of whether the U.S. and China can coexist on the Moon if both establish bases. On technology, he cited AI’s role in rover autonomy despite hardware limitations, noting successful AI-driven test drives on Mars. Looking further ahead, he projected human Mars missions in the mid-2030s, contingent on nuclear propulsion and necessary infrastructure.
