In early 2024 my friend and former cofounder of Blockstream @MarkFriedenbach approached me with the most fantastical, ambitious and meaningful idea I’d ever seen. What if we could rebuild our world atom by atom, end scarcity and achieve the sci-fi powered dreams of programmable nanotechnology?

Gear is spinning at 2 billions times a second, held in place with two clip-pins. The CNTs needs to be one row shorter. I think there is some interaction between them and the clips.

Atomistic modeling of the collision of two spherical bodies.

Congratulations @jack and @Square. This is a great thing for your customers and Bitcoin. Hopefully education amongst vendors creates millions of new bitcoin treasury small businesses allowing them to protect their earnings from dollar debasement.

“The best odds are finding an application niche in a highly specialized field with extremely unique and specific data barriers, ideally ones relating to real atoms (hardware or world-related) data and not software/finance.” I agree. Using AI to assemble real atoms for molecular assembly ( nanotech) is one of those verticals that has high data barriers and enough unique chemistry / RL from physical that we can be customer focused — not competitor focused.

When a friend asks how the startup journey is going. Answer: Tons of energy. Truly electric, really cooking as we climb the ladder,of success.

The only helmet to wear when you are taking the trash out to the bins at the trash fence.

Retractable lightsaber FTW.

I just read a paper co-authored by math legend Terence Tao and researchers at Google DeepMind that completely broke my brain. What if AI's real breakthrough in science isn't just solving problems, but inventing entirely new ways to solve them? A thread on a wild new discovery engine. 🧵 The "villain" in AI-driven discovery has always been a frustrating trade-off. You either have: 🧠 A creative but slow LLM (like a brilliant-but-lazy detective). OR 💪 A fast but "dumb" brute-force search (an army of tireless-but-unimaginative cops). You couldn't get the best of both. Until now. The breakthrough in this paper is a system called AlphaEvolve. Here's the genius part: Instead of asking the AI, "Find me the best solution," it asks, "Invent a creative algorithm to find the best solution." It evolves the SEARCHER, not just the solution. This flips the entire script. One slow, expensive LLM call is used to design a unique, clever search strategy. That strategy is then unleashed as a fast, cheap program to explore millions of possibilities. The AI becomes an algorithm designer, not just a problem solver. So, does it work? Oh, yes. Researchers gave it 67 famously hard math problems. It rediscovered the best-known solutions for most and improved the state-of-the-art for several. For example, it found denser ways to pack hexagons and cubes than we've ever known. But that's not even the most interesting part. It even tackled a problem from the 2025 International Mathematical Olympiad. The task was to find the most efficient way to tile a grid. AlphaEvolve independently discovered the optimal construction—a creative solution that had stumped other powerful AI systems. It's not just solving equations; it's finding elegant, non-obvious patterns. Now, you might be thinking this replaces mathematicians. The authors say the exact opposite. AlphaEvolve's biggest successes came when a human expert gave it an insightful hint. The AI then took that spark of human intuition and explored its consequences at a scale no human ever could. This isn't human vs. machine. It's human + machine. And here's where it clicks. They created an entire pipeline. AlphaEvolve discovers a pattern. Deep Think (another AI) writes a formal proof for it. AlphaProof (a third AI) verifies that proof. This is a glimpse of a future where the entire scientific process—from hunch to discovery to verified proof—is supercharged by AI. This isn't just about math. It's a new method for discovery itself. It's a reminder that the next great breakthroughs might not come from a lone genius, but from a partnership between human creativity and an AI that can explore the worlds hidden in our ideas. We're just getting started.

Really bizarre” quantum discovery defies the rules of physics sciencedaily.com/releases/20…

Our obligation as technologists is to build and fund things that try and make the future better than the present.

Winter is coming and Canadians are ready to play ball.

If you have a founder friend, check in on them once in a while. They’re pros at pretending everything is fine for family, employees, investors, and partners. They’ll appreciate it more than you think. I’ve seen many founders burst into tears within 3 seconds of being asked.

Measuring Life by Molecular Complexity theanalyticalscientist.com/i…

Forget gold or diamonds — the true king of value is antimatter, the rarest and most powerful material ever created by humans. Estimated at $62.5 trillion per gram, it’s not mined but manufactured atom by atom inside massive particle accelerators like CERN’s Large Hadron Collider. Antimatter is the mirror opposite of regular matter. When the two meet, they annihilate each other completely — releasing 100% of their mass as energy, according to Einstein’s famous equation, E = mc². That’s far beyond the efficiency of nuclear power, making antimatter the ultimate energy source — at least in theory. Right now, scientists can produce only a few nanograms per year, and storing it is nearly impossible. A single mistake or contact with normal matter causes instant disappearance. Still, researchers at NASA and CERN believe antimatter could one day power deep-space missions or even revolutionize medical imaging. It’s a glimpse into a future where energy itself becomes priceless — and humanity learns to hold the universe’s most explosive secret in its hands. Reference CERN & NASA. (2024). Antimatter research and production efficiency in particle accelerators. Journal of High-Energy Physics and Space Science.

“The great Canadian habit of saying “no” must end. Saying “no” now could kill the country. You don’t like a proposal? Propose an alternative. Find something to say “yes” to. And get to work.“ open.substack.com/pub/dgardn…

Moore’s Law is ending "We’re not running out of atoms—we’re running out of cheap, scalable ways to use them." — Paraphrased from Intel’s Ann Kelleher, 2023

⚡ The Microchip Era Is About to End The future is in wafers. Data centers will be the size of a box, not vast energy-hogging structures.​ WSJ wrote an article. The GPU era is hitting physical limits. Nvidia chips pack 208 billion transistors and cost about $30,000, and giant clusters that act like one computer. The core bottleneck is the lithography “reticle limit,” which caps a single chip to roughly 800 square millimeters, so large AI jobs get split across many chips and then stitched back together over cables and complex packaging. ASML’s high-NA EUV “Extreme Machine” shows the ceiling of the current path, it costs about $380 million, only about 44 exist, and each one ships in hundreds of crates and takes months to install. The result of that ceiling is ever more chips, more wires, and rising communication time that wastes power and slows training as clusters scale. Wafer-scale flips the model by using the whole wafer as one device, so compute and memory sit side by side and signals do not hop off to distant packages. Cerebras WSE-3 is the poster example with 4 trillion transistors, about 14x Nvidia Blackwell’s count, and roughly 7000x the on-device memory bandwidth, plus stacked systems of 16 wafers reaching 64 trillion transistors. Multibeam’s multi-column e-beam lithography argues for bypassing the reticle entirely by writing patterns directly across an 8-inch wafer. --- wsj .com/opinion/the-microchip-era-is-about-to-end-e71eb66a

David Baker, the 2024 #NobelPrize laureate in chemistry, has achieved the seemingly impossible feat of building entirely new kinds of proteins. In recent years, one incredible protein creation after the other has emerged from Baker’s laboratory. They range from new nanomaterials where up to 120 proteins spontaneously link together (see animation) to proteins that function as a type of molecular rotor. Animation: ©Terezia Kovalova/The Royal Swedish Academy of Sciences

Don't build what everyone else is building, make something new, make something crazy. Meet Mercury the first multi-modal robot-drone capable of flying, driving and carrying 1kg of payload. We started to design it a month ago and built it during the #blueprint program @fdotinc, yesterday we showcased it at the Blueprint Festival It was great to see the amazement of people that would see it transform and couldn't believe it, even better when they doubted it could fly and then checked out the video. I've never liked to just build regular robots or regular drones, there's people already doing that, so why not stand out with something that's straight out of science fiction. And this is just us getting started ...