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Almost 12 years ago, I left @DRWTrading with @wesarn_real to start @digitalasset. @ShaulKfir joined us shortly after. The name felt right. The idea was simple but audacious: build a global settlement system that is asset agnostic. One that doesn’t eliminate banks, exchanges, and intermediaries, but tears down the barriers keeping people from accessing assets and settling at a fraction of today’s cost. A new financial world, built for the end consumer. We knew institutional adoption was the path. We just didn’t know how long it would take. We failed. We made bad decisions. There are things we would have done differently. But we never let go of our North Star, even when people around us were convinced we had no idea what we were doing. That focus, conviction, and most of all, patience, led us to launching @CantonNetwork. And the results speak for themselves. Today is a new chapter in that story. I’m proud to announce that @a16zcrypto is leading our latest round, joined by some of the giants of the global financial system, including @ABNAMRO, ADIA, @apolloglobal, @BNPParibasCIB, @Broadridge, @citsecurities, @CMEVentures, @cbventures, Green Wolf Asset Management, @Hanwha_Official, @HSBC, @icapitalnetwork, @LCVentures, @OptiverGlobal, @polychain, @R136Ventures, @SPGlobal, @sbigroup, @smash_capital, @SoFi, @Tradeweb, and @WilliamBlair, and others we’ll be naming shortly. Twelve years ago, I could not have imagined building alongside partners of this caliber. $CC today processes the highest fees of any institutional blockchain network. And we’re just getting started. What’s coming later this year is just as exciting. None of this happens without the builders, the ones who show up to weekly tokenomics meetings, dial into operations subcommittees, spend nights and weekends building apps on Canton, and show up on @X to cheer this ecosystem forward. You are not just supporters. You are partners. I’m honored to be on this journey with you. On a personal note: @a16z hits differently for me. Ben’s book The Hard Thing About Hard Things was one I kept coming back to during the hard stretches. Having his firm lead this round is meaningful in a way that’s hard to put into words. So I’ll let him do it: “The hard thing isn’t setting a big, audacious goal. The hard thing is spending sleepless nights trying to achieve it. The hard thing isn’t dreaming big. The hard thing is waking up in the middle of the night in a cold sweat when the dream turns into a nightmare. Motivating yourself by watching YouTube shorts or Instagram reels isn’t the hard thing. The hard thing is working every day and being consistent even if you feel like shit. The hard thing isn’t boasting you could achieve anything. The hard thing is working like hell to achieve something. The hard thing isn’t believing in yourself. The hard thing is getting things done when nobody believes in you, even when you doubt yourself. The hard thing isn’t telling yourself that you must achieve the impossible. The hard thing is toiling hard every day for years despite knowing that success is too uncertain.”

That moment when everything flips in seconds… this is why people don’t stop playing. Big reactions, real tension, and outcomes you don’t see coming. If you know, you know. Built for crypto players who want speed, fairness, and no unnecessary friction. Instant withdrawals, provably fair games, and no KYC barriers slowing things down. Watch closely… the next spin might be the one. @dustbitcom @DustbitOfficial #Dustbit# #CryptoCasino# #CasinoWins#

The barrier for non-technical people using coding agents was never the interface. Chatting is the easiest UI ever invented The barrier is that they don't know what to ask for. The blank chat box assumes you already know what's possible. Most people don't. When I tried Town, I was impressed by its onboarding process where the agent proactively suggested workflows & things it can take off my plate, rather than waiting for me to give instructions

🚨 BMW HAS SOLVED ONE OF HYDROGEN’S BIGGEST PACKAGING PROBLEMS. The company has developed a new “Hydrogen Flat Storage” system for the iX5 that uses seven slim hydrogen tanks instead of two large ones. This flat design fits into the same space as the high-voltage battery pack used in the electric iX5. This is significant because it allows BMW to build the hydrogen-powered iX5 on the same production line as petrol, diesel, plug-in hybrid, and fully electric versions without major changes to the factory or vehicle architecture. The system stores 7kg of hydrogen at 700 bar and gives the iX5 an estimated range of 385 miles. BMW plans to start series production of the iX5 Hydrogen in 2028, using a fuel cell developed in partnership with Toyota. Why this matters: • One of the biggest barriers to hydrogen vehicles has been packaging the tanks without sacrificing interior space or requiring completely separate production lines • This modular “flat storage” approach makes hydrogen powertrains much more practical to manufacture at scale • It gives BMW flexibility to produce multiple powertrains on one platform depending on demand and regional infrastructure The deeper implication: While battery electric vehicles currently dominate, BMW is continuing to develop hydrogen as a parallel technology, particularly for larger vehicles and longer-range applications. Being able to build both BEVs and FCEVs on the same line is a pragmatic engineering step that could make hydrogen vehicles more commercially viable in the future if the refuelling infrastructure catches up. Follow for more frontier automotive and energy technology.

Yes, jellyfish DJ’d the “opening set” at #GoogleIO# this year. 🪼Let’s dive in 🌊 We partnered with Monterey Bay Aquarium to build a generative music experiment where moon jellies, live-streamed from their home at the aquarium, controlled music made by Lyria 3. The jellies were tracked by a lightweight object detection model running on a tiny Coral NPU housed on a Synaptics Coralboard — the same type of object detection model used to power conservation efforts in the Great Barrier Reef. The Coralboard sent the jellies’ coordinates to our music generation engine. Each quadrant of the screen represented an instrument — drums, bass, chords or melody. The number of jellies in each quadrant determined the weighting of those sounds, translating their movements into music.

Elon Musk identified which jobs go first, and it destroys every assumption about who’s safe. Musk: “AI is going to take over those jobs like lightning. Anything that is digital, which is like just someone at a computer doing something.” Not factory workers. Office workers. The people who spent decades assuming education and desk jobs meant security are actually first. Musk: “Anything that’s physically moving atoms… those jobs will exist for a much longer time.” Output is a file? Vulnerable. Output is physical? Protected. That’s the entire framework. Musk: “AI is really still digital.” AI doesn’t need a body. Doesn’t need an office. Just needs access to the same software you use. Executes faster. Never tires. Costs nothing to scale. But it can’t weld. Can’t wire a building. Can’t fix pipes or work soil. Musk: “Literally welding, electrical work, plumbing. Those jobs will exist for a much longer time.” Trades aren’t the vulnerable jobs. They’re the durable ones. Physical presence, real-world adaptation, manual dexterity provide protection no digital credential offers. Analyst, accountant, paralegal, programmer, anyone producing files and documents, automates first because digital work is exactly what AI does natively. Person moving atoms has natural defense. Physics, unpredictable environments, material resistance create friction AI can’t scale past. Person moving bits has nothing. No friction. No physical barrier. Just software AI already operates better than most humans. The assumption that desk work and degrees represent safety just inverted completely. College graduate producing documents faces faster displacement than the electrician producing installations. Society spent generations telling people trades were beneath them. Pushed everyone toward offices and screens. Turns out the people who didn’t listen built the most automation-resistant careers. Most ironic outcome of the AI revolution. The work society treated as inferior turned out to be the work society couldn’t replace. And the work society valued most turned out to be the easiest to eliminate.

This is the tough lesson that a lot of people are learning the hard way AI might have made building apps a lot easier, but it also set the barrier to entry at zero Because anyone can do it, there is no moat left The only edge left in the future will be sales and marketing

Introducing PAI 1.0: The First Version of Personal Super Intelligence PAI is the world's first context-aware, widget based AI agent that floats over your screen to read your context in real time and proactively suggest next steps, ensuring safety by executing actions only with your explicit approval. The floating AI interface designed to eliminate the prompt inequality and barrier. Structurally eliminating the "navigate to a chat window, write a prompt, explain your context" workflow that existing AI services have treated as a given for years.

The Binance VIP threshold has dropped. The experience has not. Entry now starts from US$100,000, with barriers reduced by 80%. Everything from fee discounts and dedicated support to exclusive retreats and VIP-only research awaits. Learn more 👉

Today a crazy quantum story just got wilder. On March 31, the Google Quantum AI team published a landmark result on Shor's algorithm for elliptic curve cryptography. Technically, the paper was a bombshell: a dramatic 10x improvement over the state-of-the-art. As a stunt and wakeup call to the blockchain space, those optimisations were illustrated on secp256k1, the elliptic curve underlying Bitcoin and Ethereum signatures. But perhaps the most striking part of the paper was sociological, not technical. Instead of following standard academic process, the optimisations were kept secret, hidden behind a zero-knowledge (ZK) proof. Google's accompanying blog post mentions they "engaged with the U.S. government". The ZK proof demonstrates the existence of algorithmic improvements without leaking details. Academic censorship with ZK, a historic first! As a co-author of the Google paper I witnessed some of the context surrounding this censorship. To be honest, multiple aspects of that context don't sit well with me. As much as I believe the general public ought to know more, I am limited in my ability to whistleblow. Though let me be clear about one thing: the Google team's professionalism has been absolutely exemplary, and they deserve nothing but praise. Censorship has a way of backfiring. The Streisand effect, where an attempt to bury something only draws more attention to it, is exactly what's unfolding today. First, Google's key optimisation has been rediscovered by the French. And in a thrilling turn of events, a collaborative Shor-at-home challenge just launched. The initiative, available at ecdsa[.]fail, breached a new Shor world record in a matter of hours. Let's start with the rediscovery. Just two months after Google's paper, French quantum expert André Schrottenloher cracks the main secret optimisation. His paper, titled "Optimized Point Addition Circuits for Elliptic Curve Discrete Logarithms", landed on the arXiv today. Big congrats to André, who beat several other nerdsnipped experts to it. In a blog post also published today, Craig Gidney, the world expert on Shor optimisations, revealed that he'd been sitting on this very optimisation for a whole year under censorship pressure. Interestingly, André missed a handful of minor optimisations, both from Google's original publication and from improvements found since. It's plausible there's still plenty of juice left to squeeze out of Shor, and this is exactly what the ecdsa[.]fail challenge is about. The verifier program developed for the ZK proof does double duty, automatically filtering for valid submissions. Dozens of compounding small and micro improvements are rolling in. As of the time of writing there's an 8.4% improvement to Google's circuit, as measured by the product of logical qubit count and Toffoli gate count. Nice! The nerdsnipping ran deeper than anyone expected. Over the last few weeks it became clear it extended well beyond André and other quantum experts. Behind the scenes, a small army of amateurs quietly got to work. Inspired by Karpathy-style autoresearch, they turned AI on Shor. Ironically, the verifier program for the ZK proof makes an ideal reward function for AIs. The barrier to entry for this modern style of research is refreshingly low, with several non-experts, even a teenager, finding nice optimisations. Get in touch if you'd like to join a Telegram group with fellow autoresearchers :) Part 2: neutral atoms and qday The story doesn't end with Google. On the same day Google went public, a stealthy startup called Oratomic published its own Shor paper in a coordinated release. It made a splash, ultimately becoming the most upvoted paper on scirate[.]com, a website ranking arXiv papers. Oratomic's claim was wild. By building on Google's logical optimisations and applying custom physical optimisations for neutral atoms, they claimed just 10K physical qubits were sufficient to run Shor's algorithm on secp256k1. That number is mind-bogglingly low. Knowing essentially nothing about neutral atoms when Oratomic's paper landed, I was intrigued and decided to learn more about the tech. I fell straight down the rabbit hole and spent a couple hundred hours on the topic. I got a little obsessed and watched every YouTube video I could find and spoke to a bunch of experts. My conclusion? The tech is real, very real. Even Google recently decided to start a neutral atom lab, a notable pivot from their sole focus on superconducting qubits. If you care about qday, i.e. the day a quantum computer will break the first piece of cryptography in production, neutral atoms demand your attention. I shared some of my learnings on Shor and neutral atoms in a 30min talk at the ZKProof cryptography conference. You can find it on YouTube by searching "zkproof neutral atom". Here's an interesting observation about this duo of breakthrough papers: neither Google nor Oratomic say a word about what their results mean for qday. No timelines. Zero. Nada. That is especially baffling given that the whole point of whitehat quantum cryptanalysis is to inform qday estimations and help the general public make good decisions. So let me attempt to partially fill the silence, similarly to what Scott Aaronson did in his April 29 post. Given everything I know, including scary non-public information, I now put the odds of qday by 2032 at 50%. 10% by 2030. Anecdotally, the US government has its own date: 2035. Originating at the NSA and later adopted by NIST, it's when branches of the US government will be disallowed from using quantum-vulnerable cryptography. In plain language: with hindsight, that date is a joke and should be discounted entirely. I don't see how NIST avoids being forced to pull it forward by years. Part 3: post-quantum cryptography There are good reasons to sound the alarm today, but please do not panic. Rushing carelessly towards immature post-quantum cryptography is a recipe for disaster. IMO a good target date for migration is 2029, roughly 3.5 years out. 2029 happens to be the date selected by Google, Cloudflare, and the Ethereum Foundation. These days most of my time goes to safely migrating Ethereum towards post-quantum cryptography as part of the broader lean Ethereum effort. There's a lot to do. We need to rip out and replace BLS signatures at the consensus layer, KZG commitments at the data layer, and ECDSA signatures at the execution layer. The plan to get there is compelling, and is based on hash-based cryptography. Within the Ethereum Foundation we've developed a Swiss army knife called leanVM (github[.]com/leanEthereum/leanVM) powered by the magic of hash-based SNARKs. Thanks to truly exceptional work by Emile, Thomas, and others, its performance is derisked. Regarding security, leanVM is a jewel, a minimal zkVM crafted for end-to-end formal verification and maximum security. Want to help? There are two $1M initiatives. First, the Proximity Prize (proximityprize[.]org). Solve a long-standing mathematical conjecture in coding theory, improve hash-based SNARKs, and go home a millionaire. Second, the Poseidon Initiative (poseidon-initiative[.]info), offers $1M for breaking Poseidon, the SNARK-friendly hash function.