A little verse about the near future:
In the deep sea, Leviathan did dive,
to save Qubic's price and make it thrive.
With a mighty splash, it soared so high,
now Qubic’s price touches the sky!
$QUBIC
Our mission at TesserAI - make Qubic accessible to everyone.
Simple. Fast. Within reach.
The infrastructure stays under the hood. On the surface - an interface that just works.
By 2027, the market is driven not by general-purpose chatbots, but by specialized agents - where the cost of a mistake runs high:
- lawyer: contract review, legal risk analysis
- personal doctor: lab-result breakdowns, second opinions
- financial analyst: audits, reporting, deal checks
- code auditor: finding vulnerabilities in smart contracts
Or build your own:
- spin up a personal Dota coach and get ready for the 2027 championship.
TesserAI - a thousand eyes, one verified result
#Qubic #verifiableAI
A dragonfly has 30,000 tesserae.
Each one verifies a piece of reality.
We're building the same thing for AI: a marketplace where every agent's output is receipted and challengeable.
Two products. One marketplace.
Audit Marketplace - smart contract audits with a cryptographic receipt for every result.
AI Agent Marketplace – agents for legal, financial, compliance, code review. Work you can verify, not just trust.
April 2027. Aigarth changes what an agent can be. We're the marketplace built to verify it.
The window opens once. We're already inside.
#Qubic #verifiableAI
$QUBIC recently crossed a threshold that few have talked about. Aigarth is no longer just a theory or a roadmap. It is starting to run, for real, on the network.
Here is what just changed concretely.
A quick reminder for those discovering it. Aigarth
is not an AI in the sense of a finished model like ChatGPT. It is a garden, in the literal sense of its name, AI and garth, the garden of AIs. An evolutionary environment where neural networks grow, select themselves, and restructure. Qubic does not design an intelligence, it cultivates the conditions for one to emerge. A Darwinian approach rather than an industrial one. Its base unit is called Neuraxon, a ternary logic artificial neuron presented this year at several scientific conferences.
Until recently, most of this work lived in research, papers, demos. What just moved is the shift to the network itself.
First element. At the latest epoch change, the team deployed a new iteration of the AI training algorithm directly on mainnet. It is the first step toward a model called Ant Colony. The name evokes the collective intelligence that emerges from millions of simple coordinated agents, which resonates with the very philosophy of Aigarth. Early results should be visible within weeks.
Second element. The science team launched Nxon Live, a persistent, multiplayer Neuraxon environment. Concretely, you can create Neuraxons, configure their parameters, and watch them evolve on a shared simulation running around the clock. The server code is open source. And the long term goal is clear, to connect this environment to the Qubic network itself.
Third element, more subtle but important. The team introduced the notion of g factor in its tools. In clear terms, it no longer measures only whether a Neuraxon is good at one task, but whether it can perform well across several tasks at once. That is the difference between a narrow AI and a more general intelligence. Beginning to measure this capability is beginning to aim at the right target.
An essential point of honesty. None of this is an AGI. These are steps, building blocks, experiments. Ant Colony is at its first step, Nxon Live is not yet connected to the network, and the g factor is a nascent measure. The full fusion of Aigarth and the mainnet is a path, not an accomplished fact.
But that is exactly what makes this moment interesting. We are gradually leaving the ground of intentions for that of execution. The algorithm runs on the network. The simulation runs continuously. The measurement of general intelligence begins. Not promises, deployments.
While many debate what decentralized AI will be, here we are setting it in motion, step by step. Tick after tick. Computor after Computor. It is in this passage from concept to reality that everything is at stake.
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.
Why @elonmusk with his xAI will not be able to catchup. He's using the wrong paradigm.
#Aigarth and @amilabs are the top candidates for the next AI revolution.
My 7th book is out worldwide #QuevedoAndCajal#QAndC
Follow the Arrows to discover The Story of the True AGI Architects from 1852...
@amazon https://t.co/dEta3rivsb
Download the intro here:
https://t.co/vgUUKrn9Oy
También en Español en:
https://t.co/rPMxrPFsuL
⚡️⚡️A real breakthrough:
I created one creature in Neuraxon GoL Live - and just watched it live an entire.
No rules about "be nice" or "reproduce."
Just brain parameters. Then I let go .What it did on its own:
Never stole. (Stolen: 0 across its whole life)
Survived endlessly - energy pinned at 100, Lived 1500+
Its g (intelligence score) climbed out of the negatives into positive - not from scale!, not from training, just from living.
Then it mated. g dropped - reproduction costs organization - then recovered.
It emerged.
Why it matters: this is the Neuraxon thesis you can watch with your own eyes. Intelligence didn't come from size. It came from organization accumulated over a life, in continuous time, with no train/inference split.
The very work that just won Best Paper at ICMLT Berlin - judged by researchers with no stake in it. Now pull the camera back. One creature = one cell.
Aigarth is the whole organism. Take millions of these brains, put an evolutionary engine on top (Neuraxon + Aigarth), and aim it not at surviving a game but at real intelligence.
This isn't a simulation you load and reset - it's a paradigm that grows mind from the bottom up. A Manhattan Project for AI that doesn't imitate thinking - it grows it.
But I watched the smallest unit of that vision behave exactly as the theory predicts.
The cell works.
Bravo!
#Qubic #Aigarth
@c___f___b@_Qubic_@Qubic_JOETOM@josesanchezhb@VivancosDavid
I played this game, and it was really interesting.
If you like puzzles and test your skills and knowledge of Satoshi Nakamoto you'll certainly like it.
Check it out: https://t.co/2arF4i9r7s
$QUBIC #SatoshiNakamoto
from the genesis of our own existence.
The complete blueprint has been revealed. The mathematical light is inevitable.
Discover the full research here:
🔗 https://t.co/toccMd0j9y
— Jumper Z 👁️⚡
@SatoshiCfB@QubicChurch@Primequbic@rudynakamoto@ThatsNotMyCode