ASICs for #AI will be trinary.

On most chains, your transaction fee goes to someone. On Qubic, it goes to no one. It is destroyed. And the network is about to add another furnace. Every smart contract execution: fee burned. Every Oracle Machine call pulling outside data: burned. And now Outsourced Computation, contracts acting beyond the chain, works the same way. Each call costs a fee. Each fee is removed from the Qubic supply forever. Three burn mechanisms. Zero of them optional. All of them tied to real work. This is the part people miss about Qubic: Activity is not just traffic. Activity is subtraction. The ultimate goal: usage outburns emission, and the supply curve bends down. That date is not set by anyone. It's earned, one transaction at a time.

Once a smart contract can send an instruction off-chain, a wall comes down. Qubic contracts have been stuck inside Qubic. Outsourced Computation lets them reach out. Here is what that actually opens up, in plain terms. 🧵

We have no unit of measurement for intelligence. Not for humans. Not for machines. We've been arguing about it for over a century. Up to 45% of the benchmarks we use to evaluate LLMs contain leaked training data. ARC-AGI-3 was built to fix that. Humans solve 100% of it. Frontier AI scores below 1%. NIA Volume 10 breaks down the g factor, Chollet's framework, benchmark contamination, and what measuring machine intelligence actually requires.

Anna will soon be deployed to the $Qubic network… Bullish! 🔥

Qubic does not outsource compute. It outsources computation. One letter of difference. It changes everything, and it is the most misunderstood part of what launches July 29. No, Qubic is not renting out processing power. No, miners will not be running your LLM. Renting compute is: “Here is a pile of processing power. Do whatever you want with it.” That is not this. Outsourced Computation is narrow by design. A smart contract decides on one authorized action. “Move these funds.” “Trigger this on Ethereum.” One contract. One verified intent. Nothing more. And nothing leaves the chain until 451 of the 676 Computors independently sign it. The receiving system checks those signatures and knows the network actually approved the action. Not one server. Not a multisig of insiders. Two-thirds of the network, every single time. It is not a compute marketplace. It is a smart contract reaching out with one instruction the whole network agreed to.

For years, a Qubic smart contract could think but it could not touch. It could run any logic you gave it. But everything stayed trapped inside the chain. It could not move a coin on another network. It could not tell an outside system to do anything. That changes in about 8 weeks. Final piece of a three-part system. 🧵

SpaceX filed to go public last month, and the paperwork is a useful tell about where the market is heading. 18,712 Bitcoin sitting on the balance sheet. A payments business growing inside X. A serious push into AI compute. Three bets on the same convergence the whole industry keeps talking about - crypto, AI, and infrastructure - now laid out in black and white for public investors to price. But look at how it is built. Bitcoin treasury in one box. AI compute in another. Payments in a third. Three separate businesses stapled together under one roof, each to run on its own. Qubic was designed the other way around. The mining that secures the network is the same computation that trains AI. There is no separation between a crypto operation and an AI operation, because Useful Proof of Work is a single mechanism that produces both at once. The largest companies in the world are now spending billions to bolt these pieces together. Useful proof of work had them fused from day one.

An AI research paper has been getting attention this week. The finding, in plain terms: if you grade your training data by quality from day one instead of treating every example as equal, you can train a model up to 2.8x more efficiently. Sounds obvious, but this is not how most AI gets built. And it rhymes with something Qubic has been doing for the past four years. 🧵

The Quorum has spoken. Qubic's second halving is approved and locked in for Epoch 227. Weekly emissions drop from 450B to 225B $QUBIC. The burn rate jumps to 77.5% of all weekly emissions. The first halving was EP175. EP227 keeps emissions on a controlled long-term schedule and extends the runway for the entire ecosystem.

Energy was never meant to be wasted. Qubic turns proof-of-work into the work itself: computation that trains AI with purpose.  No staking. No idle burn. Just useful work. This is not mining as you know it. It's Qubic. Watch.

Every blockchain has to answer one question early: where do new coins come from, and how fast. On Qubic, new QUs are released every week. Roughly a trillion of them. A halving is the network’s way of deciding to slow that tap down. There is a live vote on the next halving, closing this week. Here is what it actually means, in plain terms. 🧵

More updates on the🪼#Neuraxon front from @_Qubic_ #OpenScience hybridized with #Aigarth @josesanchezhb & @VivancosDavid are proud to share #NeuraxonLive Game Of Life Server Client so you can Deploy your own world of 🪼based on Game of Life 5.0 Full open source code at: github.com/DavidVivancos/Neu… Deploy your own server or use ours. Breed your own 🪼the first season just started, is live at nxon.online - Will yours live forever? -> If so share your 🪼 - Will yours be on top of the rankings? This season world max is 500🪼and max 100 Custom Nxers claim yours now! Why it matters? Neuraxon Live isn't a simulation you load and reset — it's one neural world running 24/7, "forever", where every creature carries a real g-capable brain that forages, mates, sings, and dies on its own. You're not watching a replay; you're watching open-ended evolution and emergent intelligence happen live, ranked all-time across every NxEr that ever lived. Open a browser, zoom in, and you can literally hear artificial minds being shaped by selection in real time. 🧠🌍

Qubic Science just had its Neuraxon V2.0 paper accepted at AGI-26 in San Francisco. That makes three academic acceptances so far this year. ICMLT in Berlin, where it won best presentation of the evening session. AMLDS in Japan. And now AGI-26. This one is different from the other two, and it is worth explaining why. ICMLT is a machine learning conference. AMLDS is machine learning and data science. AGI-26 is the only major conference on earth built around a single question: How do you actually create general intelligence, the kind that transfers from one problem to a completely different one instead of memorizing a single trick? That is the exact question Neuraxon was built to answer. Most crypto projects that mention AI are wrapping someone else’s model and bolting it onto a token. Neuraxon is an attempt to grow artificial brains that adapt over time, the way biology does. Getting into the room where the people who take AGI seriously argue it out, in front of names like Karl Friston and Ben Goertzel, that is the milestone. The conference runs July 27 to 30. The research is open. The paper is below.

The next 30 days might be the most technically significant in Qubic’s history. Here is exactly what is coming and why it matters. 🧵

In 1904, psychologist Charles Spearman found that children who scored well in one subject scored well in almost everything. He called the underlying factor “g”, general intelligence. 120 years later, g remains one of the most replicated findings in behavioral science. And yet, when researchers run the same psychometric analyses on large language models… the g factor structure doesn’t show up. LLM performance across domains doesn’t correlate the way human cognition does. It tracks training data density, not genuine cognitive generality. So what would it take to actually evolve g in an artificial system? That’s the question behind Neuraxon’s latest experiment. Artificial creatures growing their own modular brains, selected not for mastering any single task, but for the shared cognitive thread across many.

In the 1960s, the US and Soviet Union both launched rockets. Both burned the same fuel. Both pushed the limits of human engineering. One program put a man on the moon. The other proved it could. Bitcoin mining is the rocket that proved it could. Qubic is the one going somewhere. On Qubic, the computors aren’t racing to stamp out a number. They’re training an AI. The proof of work and the work itself are the same thing. Every cycle goes into building something that didn’t exist before, something that actually matters. That something has a name. Aigarth, an AI the network has been growing from scratch for four years. And it’s about to get even faster and more coordinated. A protocol upgrade called the Anthill is coming. Until now, every miner searched for answers on their own, thousands of people digging random holes hoping to find gold. Once the Anthill lands, each miner builds on where the others left off, the way ants reinforce each other’s trails until the whole colony moves as one. The work of one starts making the work of everyone else better. Same energy bill, yet a completely different destination.

Yes... Looks Like #Neuraxon just started.... @josesanchezhb & @VivancosDavid are very proud to communicate that our paper #MultiNeuraxon follow-up to the just presented and awarded at ICMLT Neuraxon 2.0 in #Berlin for @_Qubic_ #OpenScience evolving @c___f___b #Aigarth to new heights... This time has been accepted for poster presentation a the 19th #AGI Conference, so to #SanFrancisco @SFSU and beyond...

3 billion Chromium users just got one-click access to the Qubic Wallet. The Qubic Wallet Chrome Extension has graduated from beta. Version 1.1.0 is approved by Google and installs in a single click. Previously, installing the wallet meant downloading a package and sideloading it manually. Fine for developers, but a wall for everyone else. That wall is now gone. Create and manage accounts, send QU, manage assets, all inside an encrypted vault built for real use. The wallet is fully open source and contributions are welcome. For developers building on Qubic: native dApp integration is live through the window . qubic provider API. A sample integration repo is already on GitHub. One link. Every Chromium browser. No sideloading.

ChatGPT is a photograph of intelligence. It was trained once on a massive dataset, frozen, and deployed. Its weights do not update. Its architecture does not change. Whatever it retains between sessions is a note, not actual growth. Every answer it gives comes from a snapshot that stopped updating the day training ended. Qubic is building something fundamentally different. 🧵