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Google Just Released What Comes After AGI — A Million Times More Powerful Than AGI!

Google DeepMind just revealed what could come after AGI, and it may be far more powerful than most people realize. In its new paper “From AGI to ASI,” DeepMind explains why human-level AI may not be the finish line, but the starting point for artificial superintelligence. In this video, we break down what AGI and ASI really mean, why Shane Legg and Marcus Hutter’s involvement matters, and how DeepMind defines superintelligence as something that can outperform massive organizations of top human experts across nearly every domain. We also explore the four possible roads from AGI to ASI: scaling, new AI architectures, recursive self-improvement, and multi-agent AI collectives. One of the most shocking ideas is that you may not need an AI smarter than a human. 100 million human-level AI agents working together could already become something far beyond us. But even superintelligence has limits. Physics, computation, mathematics, uncertainty, data, energy, and regulation could all shape what happens next. Is AGI really the end goal, or just the beginning?

#GoogleDeepMind #AGI #ASI #ArtificialIntelligence #Superintelligence #AI

Cory Doctorow on AI: The Singularity Is A Progressive Apocalypse

Fourteen years ago, Cory Doctorow told me the #Singularity is a progressive apocalypse.

I have not stopped thinking about that phrase since.

We like to imagine the future as one clean break. A line crossed. A god booted up in a server farm. Cory saw something stranger. The end of the world, sold to us as the perfection of the world. Rapture for the people who swapped faith for code.

His sharpest point was about stories. Good #ScienceFiction does not predict the future. It predicts the present. The genre is not a telescope. It is a mirror.

Re-listening in 2026, the reflection is uncomfortable.

The surveillance he warned about is now infrastructure. The platforms he distrusted now mediate almost everything we do. We still treat the internet as a glorified video-on-demand service, and we still pour everything we are onto it anyway.

Continue reading “Cory Doctorow on AI: The Singularity Is A Progressive Apocalypse” | >

University of Chicago Just Found a Shortcut Quantum Computers Needed for Years

University of Chicago researchers may have found the shortcut quantum computers have needed for decades.

In this video, we break down a major quantum computing breakthrough involving QLDPC error correction codes, reconfigurable atom arrays, and movable neutral atoms controlled by laser light. This new approach could reduce the number of physical qubits needed for practical fault-tolerant quantum computing by a factor of ten to twenty.

That matters because quantum computers have always faced one massive problem: qubits are extremely fragile. Traditional surface-code error correction can require thousands of physical qubits just to protect one reliable logical qubit, pushing useful quantum computers decades into the future. But this new blueprint could bring the requirement down from millions of qubits to tens of thousands.

We also explain why this discovery could affect medicine, drug discovery, encryption, post-quantum cybersecurity, climate technology, materials science, artificial intelligence, and the global race to build real quantum machines.

This is not a finished quantum computer yet. It is a credible engineering roadmap through one of the biggest bottlenecks in the field. But it may move practical quantum computing much closer than experts expected.

Watch the full video to understand why this University of Chicago breakthrough could change the quantum timeline.

Continue reading “University of Chicago Just Found a Shortcut Quantum Computers Needed for Years” | >

Quantum-inspired AI could tailor patients’ cancer treatment to their entire molecular background

For a child diagnosed with neuroblastoma—the most common infant cancer, occurring when early nerve cells grow out of control—the path to treatment isn’t simple. Some types of neuroblastoma resolve on their own, while others require aggressive intervention. Researchers have tried matching treatments to patients based on one-gene mutations with limited success. This is because patients’ outcomes depend on their entire molecular background, containing millions or even billions of features, such as DNA and RNA from tissues and blood.

“It’s much more than just one gene—everything that’s happening in the cells of the patient matters,” said Orly Alter, an associate professor of biomedical engineering at the University of Utah’s Scientific Computing & Imaging Institute.

Current artificial intelligence and machine learning (AI/ML) approaches require massive amounts of training data and, specifically, vastly more patient samples than genetic features.

How GE Vernova builds the massive gas turbines powering the AI data center boom

“When we think of what the world needs for electrification and what we need to power this AI surge that we’re living, a lot of that stuff comes right out of this factory,” said Koziner.

Microsoft just bought seven of them to power its data center in Texas. At 2.7 gigawatts, it’s enough electricity to power about 3 million homes.

GE Vernova turbines are already online at Elon Musk’s xAI Colossus 1 campus in Tennessee, and nearly a gigawatt more are being deployed at OpenAI’s Stargate project in Texas, according to Cleanview, an organization that tracks data center development.

Hospital AI tool predicts low blood sugar in patients up to 24 hours in advance

Cedars-Sinai Health Sciences University investigators developed an AI-based model that can identify hospitalized patients at risk of low blood sugar up to 24 hours before the condition occurs. The long short-term memory (LSTM) model, described in npj Digital Medicine, could help clinicians intervene earlier and prevent complications, including, in severe cases, seizures, coma and long-term heart arrhythmias.

The model addresses a longstanding challenge in hospital care. Low blood sugar, also called hypoglycemia, is a common and potentially life-threatening complication among hospitalized patients, including those receiving diabetes treatment, those who are fasting before procedures or those in critical care. However, there are no widely used tools for predicting which hospitalized patients may develop hypoglycemia.

“Today, most hospital care for hypoglycemia is reactive, and we respond after a patient’s blood sugar drops,” said Roma Gianchandani, MD, senior author of the study and vice chair of quality and innovation in the Department of Medicine and program director for diabetes.

AI can be an ally in rooting out ransomware threats

AI can be used to prevent cybersecurity threats linked to ransomware, says University of Cincinnati researcher Nelly Elsayed.

“We are in a hype era of AI,” says Elsayed, associate professor in the UC School of Information Technology. “Some people support it, others fear it, but in general people who design technology are trying to use it for good.”

Elsayed, founder and leader of the Applied Machine Learning and Intelligence Lab at UC, recently published research in the Journal of Information Security and Applications, arguing that generative AI may be an ally in strengthening ransomware defense.

The AI Future No One Wants to Talk About

Go to https://ground.news/sabine to get 40% off the Vantage plan and see through sensationalized reporting. Stay fully informed on events around the world with Ground News.

In today’s video I speculate about the future of artificial intelligence.

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