China’s military says it is using quantum technology to gather high-value military intelligence from public cyberspace.
The People’s Liberation Army said more than 10 experimental quantum cyber warfare tools were “under development”, many of which were being “tested in front-line missions”, according to the official newspaper Science and Technology Daily.
The project is being led by a supercomputing laboratory at the National University of Defence Technology, according to the report, with a focus on cloud computing, artificial intelligence and quantum technology.
Scientists have used a NASA-grade supercomputer to push our planet to its limits, virtually fast‑forwarding the clock until complex organisms can no longer survive. The result is a hard upper bound on how long Earth can sustain breathable air and liquid oceans, and it is far less about sudden catastrophe than a slow suffocation driven by the Sun itself. The work turns a hazy, far‑future question into a specific timeline for the end of life as we know it.
Instead of fireballs or rogue asteroids, the simulations point to a world that quietly runs out of oxygen, with only hardy microbes clinging on before even they disappear. It is a stark reminder that Earth’s habitability is not permanent, yet it also stretches over such vast spans of time that our immediate crises still depend on choices made this century, not on the Sun’s distant evolution.
The new modeling effort starts from a simple premise: if I know how the Sun brightens over time and how Earth’s atmosphere responds, I can calculate when conditions for complex life finally fail. Researchers fed a high‑performance system with detailed physics of the atmosphere, oceans and carbon cycle, then let it run through hundreds of thousands of scenarios until the planet’s chemistry tipped past a critical point. One study describes a supercomputer simulation that projects life on Earth ending in roughly 1 billion years, once rising solar heat strips away most atmospheric oxygen.
Ray Kurzweil predicts humans will merge with artificial intelligence (AI) by 2045, resulting in a 1000x increase in intelligence and marking the beginning of a new era of unprecedented innovation, potentially transforming human life and society ## ## Questions to inspire discussion.
Preparing for AI Timeline.
🤖 Q: When should I expect human-level AI and what defines it? A: Human-level AI arrives by 2029, defined not by passing the Turing test (which only matches an ordinary person), but as AGI requiring expertise in thousands of fields and the ability to combine insights across disciplines.
🧠 Q: When will the singularity occur and what intelligence gain can I expect? A: The singularity happens by 2045 when humanity merges with AI to become 1000x more intelligent, creating a seamless merger where biological and computational thought processes become indistinguishable.
⚡ Q: How much change should I prepare for in the next decade? A: Expect as much change in the next 10 years as occurred in the last 100 years (1925−2025), with AGI and supercomputers by 2035 enabling merging with AI for 1000x intelligence increase.
Despite its diminutive size, the organ packs almost 500 feet of wiring and 54.5 million synapses into the size of a grain of sand — an astonishing feat of computational neurology research that allows scientists to better understand how signals travel throughout the brain.
And thanks to significant advances of some of the world’s most capable supercomputers, researchers at the Jülich Research Centre in Germany are now aiming their sights at a far more ambitious goal: a simulation at the scale of the entire human brain.
Previous attempts, dating back a decade, like the Human Brain Project, fell largely flat, despite considerable government funding. But as New Scientist reports, the Jülich researchers think they can push things forward. The idea is to bring together several models of smaller regions of the brain with a supercomputer to run simulations of billions of firing neurons.
Quantum computers could rapidly solve complex problems that would take the most powerful classical supercomputers decades to unravel. But they’ll need to be large and stable enough to efficiently perform operations. To meet this challenge, researchers at MIT and elsewhere are developing quantum computers based on ultra-compact photonic chips. These chip-based systems offer a scalable alternative to some existing quantum computers, which rely on bulky optical equipment.
These quantum computers must be cooled to extremely cold temperatures to minimize vibrations and prevent errors. So far, such chip-based systems have been limited to inefficient and slow cooling methods.
Now, a team of researchers at MIT and MIT Lincoln Laboratory has implemented a much faster and more energy-efficient method for cooling these photonic chip-based quantum computers. Their approach achieved cooling to about 10 times below the limit of standard laser cooling.
The world’s most powerful supercomputers can now run simulations of billions of neurons, and researchers hope such models will offer unprecedented insights into how our brains work
New research shows that advances in technology could help make future supercomputers far more energy efficient. Neuromorphic computers are modeled after the structure of the human brain, and researchers are finding that they can tackle difficult mathematical problems at the heart of many scientif
🎯 Q: How should retail investors approach AI and robotics opportunities? A: Focus on technology leaders like Palantir, Tesla, and Nvidia that demonstrate innovation through speed of introducing revolutionary, scalable products rather than attempting venture capital strategies requiring $1M bets across 100 companies.
💼 Q: What venture capital strategy do elite firms use for AI investments? A: Elite VCs like A16Z (founded by Marc Andreessen) invest $1M each in 100 companies, expecting 1–10 to become trillion-dollar successes that make all other bets profitable.
🛡️ Q: Which defense sector companies are disrupting established contractors? A: Companies like Anduril are disrupting the five prime contractors by introducing innovative technologies like drones, which have become dominant in recent conflicts due to lack of innovation in the sector.
⚖️ Q: What mindset should investors maintain when evaluating AI opportunities? A: Be a judicious skeptic, balancing optimism with skepticism to avoid getting carried away by hype and marketing, which is undervalued but crucial for informed investment decisions.
While supercomputers excel at general-purpose tasks and large-scale simulations, quantum computers specialize in problems involving exponential combinations (e.g., materials science, drug discovery, AI optimization). However, quantum systems currently require conventional computers to operate—a dependency that will intensify as they scale from today’s 100+ qubits to thousands or millions. The project envisions supercomputers acting as the “pianists” that play the quantum “piano.”
Twelve user groups are currently testing both systems. The project’s primary objective is to provide concrete answers to “What can quantum computers do *now*?” rather than speculating about future capabilities, while demonstrating practical advantages of tightly integrated hybrid computing for real-world scientific and industrial applications.
A RIKEN-led project is developing system software to tightly integrate quantum computers with supercomputers.
🧠 VIDEO SUMMARY: CRISPR gene editing in 2025 is no longer science fiction. From curing rare immune disorders and type 1 diabetes to lowering cholesterol and reversing blindness in mice, breakthroughs are transforming medicine today. With AI accelerating precision tools like base editing and prime editing, CRISPR not only cures diseases but also promises longer, healthier lives and maybe even longevity escape velocity.
0:00 – INTRO — First human treated with prime editing. 0:35 — The DNA Problem. 1:44 – CRISPR 1.0 — The Breakthrough. 3:19 – AI + CRISPR 2.0 & 3.0 4:47 – Epigenetic Reprogramming. 5:54 – From the Lab to the Body. 7:28 – Risks, Ethics & Power. 8:59 – The 2030 Vision.
👇 Don’t forget to check out the first three parts in this series: Part 1 – “Longevity Escape Velocity: The Race to Beat Aging by 2030″ Part 2 – “Longevity Escape Velocity 2025: Latest Research Uncovered!“ Part 3 – “Longevity Escape Velocity: How AI is making us immortal by 2030!”
📌 Easy Insight simplifies the future — from longevity breakthroughs to mind-bending AI and quantum revolutions.
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