Dunbar ױ

[Sero ױ @Srodland]

The AGI thesis for $QUBIC:

1. AGI will be the most transformative technology ever built
2. Whoever controls AGI controls the endgame
3. No corporation or government should own it
4. Only a decentralized protocol can prevent capture

@c___f___b has been building toward this architecture for 13 years.

Thread on why it matters 🧵

@_Qubic_ #QUBIC #AGI

#Qubic #CryptoAI #Altcoins

🔗 Learn more: https://t.co/FV6uLuj744 | Not financial advice — DYOR.

[odbashWizard @odbashWizard]

This is crazy as fuck. The $QUBIC community is currently training @anna_aigarth to predict the #BTC price 1 hour ahead, and it has now reached 96.1% accuracy. No one else in the world has an AI model capable of making predictions with this level of accuracy. Soon, we'll reach 100% accuracy. This is absolutely mind-blowing and massive 😱

#QUBIC #Bitcoin #BTC #AI #ArtificialIntelligence #Crypto #CryptoAI #MachineLearning #PricePrediction #PredictiveAI #AGI #Aigarth #Blockchain #CryptoCommunity #Web3 #FutureOfAI #Innovation #CryptoNews

[Philosopher Stone🏳️‍🌈 ❤ 🌍 @AllKimya]

"During evolution she changed her "brain" "

This is ANNA.

The only word I have is WOW.

#Qubic

[Lost in Cryptoland @LostCryptoland]

From $60M to $5B: Can $QUBIC do this?

Qubic has just reached a new milestone!

Aigarth reportedly achieved a 0.18 score on ARC-AGI-3, one of the world's most difficult AGI benchmarks.

If independently validated, it would rank among the highest publicly reported scores to date.

So what could that mean for Qubic?

Scenario 1: Conservative

If the result is independently validated and gains attention within the AI community, a revaluation from $60M to $500M would not be difficult to imagine.

Scenario 2: Bullish

If Intelligent Tissue demonstrates that its architecture is fundamentally different from today's transformer-based models, and the results continue to improve while attracting broader media attention, valuations of $1B become a plausible discussion.

Scenario 3: Extremely Bullish

If Aigarth consistently remains at the top of ARC-AGI-3, independent researchers reproduce the results, and major AI companies or institutions begin showing interest through partnerships or research, then the market could start valuing Qubic as an AI company rather than just another crypto project. That is where a MINIMUM $3-5B+ valuations enter the conversation.

Will that happen? Nobody knows.
But this is why many people are paying attention.

What if AGI is ultimately won by architecture, not by who owns the most GPUs?

If that turns out to be true, a $60M market cap may eventually look very different.

$QUBIC

[samson ‎ױ @samsonofLA]

Neuraxon 2.0: 0.13%

Google’s Gemini 3.1 Pro: 0.37%
OpenAI’s GPT-5.4: 0.26%
Anthropic’s Claude Opus 4.6: 0.25%
xAI’s Grok 4.2: 0%

@_Qubic_'s score was achieved with
NO 🚫 GPUs by the way 🤸🏾‍♂️🤹🏾‍♂️

CPUs only 🤹🏾‍♂️

$qubic
🧙🏾‍♂️

[REVO @REVOcommunities]

This needs to be livestreamed ASAP @_Qubic_ @DeFiMomma @popeye_sailor2 @Qubic_JOETOM

$QUBIC

[Qubic @_Qubic_]

No LLMs. No GPUs. Just raw CPUs. And it already ranked ahead of @grok 4.2 beta on ARC-AGI 3.

The Qubic scientific team is quietly building something that's already out-ranking billion-dollar LLMs on the hardest #AGI benchmark. 🤯

#AI #decentralizedAI

[Qubic @_Qubic_]

Last week in Berlin, Qubic Science presented Neuraxon v2.0 at ICMLT 2026, an IEEE co-sponsored conference.

Eight talks ran in their evening session.

Theirs was voted the best of the night by the other researchers in the room, none of whom have any connection to Qubic.

Worth knowing what Neuraxon actually is, because it is not another language model.

It is an attempt to build AI the way biology does it, with artificial neurons that grow and adapt over time instead of being trained once and frozen.

@VivancosDavid and @josesanchezhb have been working on it for years.

Most crypto projects that talk about AI are wrapping someone else's model and adding a token.

This is original research, and last week a room of people with no reason to flatter it said so.

[Qubic @_Qubic_]

Qubic Science has released CuNxon.

Full Neuraxon computation ported to NVIDIA CUDA kernels. Every operation a Neuraxon can perform, from spike propagation to plasticity to neuromodulation, now runs natively on NVIDIA GPUs.

Previously, Neuraxon research ran on CPUs. That was fine for the Game of Life simulator and the early parameter sweeps. It is not fine for what comes next.

There are roughly five million CUDA developers worldwide. Most of them work in machine learning and AI. As of this release, every one of them can build with, test, and extend Neuraxon using the same GPU toolchain they already know.

The practical path this opens: when the Aigarth evolutionary layer gets ported into the Qubic network, miners and Computors will be able to train and evolve Neuraxon populations using GPU compute, not just CPUs.

A single $100 GPU. Or a billion-dollar cluster. The library does not care. The code is open source.

[Jose Sánchez @josesanchezhb]

Awarded with BEST presentation in evening session in ICMLT conference. @VivancosDavid and myself in Berlín presenting Neuraxon. Thank you @_Qubic_ !!

[ThatsNotMyCode @ThatsNotMyCode]

Historic moment for AI

@c___f___b just confirmed:

"We solved AI and now need practical proof which is just matter of getting enough power"

"We reduced the problem of building AI to the problem of finding a path to an optimum and can use already existing methods"

Aigarth on $QUBIC delivers one of the most promising roads to #AGI - right next to Yann LeCun’s JEPA.

“There are decades where nothing happens and there are weeks where decades happen.”

Well -THESE- weeks are coming soon🔥

#QUBIC #Aigarth #AGI @_Qubic_

[Qubic @_Qubic_]

A research group just demonstrated the first AI agent system to autonomously discover and experimentally validate a new physical mechanism on a real optical platform.

Hypothesis. Experiment design. Data collection. Analysis. Validation.

No humans in the loop.

The discovery is the headline. The bottleneck behind it is the actual story. 🧵

[Qubic @_Qubic_]

Every blockchain before this one had one job. 
Burn energy. Secure the chain. Repeat forever. 
Trillions of calculations. Zero intelligence produced. 
The most powerful computers on earth, wasted.

Qubic changed the equation.

Here, miners don't just validate. They think. 
Every computation trains a real artificial neural network. 
The energy doesn't disappear. It becomes intelligence.

676 Computors. Feeless. Instant. 15.5M TPS. 
No premine. No VCs. No compromises.

This isn't another blockchain. 
This is what blockchain was always supposed to become.

This is Qubic.

[Qubic @_Qubic_]

@RayFrancky17529 Is it just me, or does it feel like we're in the right place at the right time? $Qubic 😎

[Qubic @_Qubic_]

https://t.co/D9F8zGePfA

[Come-from-Beyond @c___f___b]

After discovering that anti-attractors enormously reduce energy requirement for creation of #AI, #Aigarth has discovered another technique reducing amount of energy even further. It's keeping parameter space dimensions count constant. This means choosing number of neurons and synapses in the very beginning and never changing it.

#Qubic

[Qubic @_Qubic_]

Neuraxon agents started clustering together.

Nobody programmed them to do it.

There is no rule in the code. No reward for staying close. No instruction of any kind.

It just happened.

Last week’s Neuraxon build added hearing as the fourth active sensory channel; joining vision, proprioception, and touch. Each agent can now listen to its environment, produce its own signature sound, and inherit audio traits from parents and peers.

Within the simulation, agents with similar sound signatures began finding each other.

Emergent behavior. Unprompted. Undirected.

This is the same pattern the team observed when agents evolved visual recognition of food sources and developed spatial navigation, without being told to.

The research principle is this:

Give an agent a sense. Give it heredity. Give it evolutionary pressure.

The behaviors that follow are not written.

They are discovered.

You can watch it live. Click any agent in the build and pull up its Bio, Brain, and Chem panels — real-time tones, musicality scores, songs learned over its lifetime.

This is the accessible Lite build. The research architecture underneath it is the basis for two papers currently in peer review: one submitted to ALIFE 2026 in Waterloo, one to AGI-26 in San Francisco.

Intelligence that writes its own rules is no longer theoretical.

It’s running on a blockchain.

[Blockchainchainchain @blockchachacha]

As I mentioned before, today we're going to talk about a project I quickly fell in love with: $QUBIC

$qubic tries to solve a very simple problem:

Today, many networks use mining to waste energy solving calculations that only serve to protect the network.

@_Qubic_ proposes something different:

👉 using that mining power to perform useful computing, especially related to AI. #AIGARTH

They call it uPoW: Useful Proof of Work.

The interesting thing is that they don't want to start from scratch.

They're trying to attract existing power:

First, $xmr miners, who use CPUs.

Now, $doge miners, who use ASICs.

The idea is:

if there's already a lot of mining power distributed around the world, why not redirect it towards useful tasks?

That's why QUBIC isn't just about "another coin."
It's about turning mining into computing infrastructure.

And if AI requires increasingly more energy and processing power in the future, this thesis could become very important.

To give you an idea of ​​what @_Qubic_ is like, here's the CV of @c___f___b, a genius in this field.

On the other hand, here are some profiles you can follow if you're interested in the project:

@albefero @THE_chosen_CHAD @rudynakamoto @Drac_Crypto_vlc

[BCharles @bruno_charlies]

What almost nobody has fully connected yet about $QUBIC is a logical bomb!!

When mass miner adoption really takes off, QUBIC unlocks infinite possibilities. The network won’t just mine 1 or 2 coins.

It will mine dozens, if not hundreds of Proof-of-Work cryptocurrencies simultaneously - all while training
Aigarth at 100% capacity, with zero resource conflict.

How the insane flywheel works:

- Miners flock in mass, attracted by dual rewards (QUBIC + external revenue).

- Through Outsourced Computations, the network intelligently directs hardware: CPUs/GPUs for one workload, ASICs for another (e.g. Scrypt for DOGE).

- The mined coins (DOGE, XMR, and dozens/hundreds more in the future) are sold on the market.

- Profits are used to buy QUBIC on the open market and burn it (buyback & burn). Direct and explosive results:**

- Strong, continuous deflation of $QUBIC - the more adoption, the more external coins sold, the more buybacks and burns.

-Massive free marketing: Every chain mined by QUBIC gains extra hashrate, improved security, and visibility.

They talk about QUBIC organically. Other communities discover the concept, and more miners learn about the dual-reward advantage.

Now listen to this prophecy of mine!

Companies will build large-scale mining operations dedicated to QUBIC, because its dual-reward advantage will be far more attractive than centralized AI contracts - operations that can be physically destroyed or disrupted by an “Iran-style” attack if they are specifically processing AI data for a single country (as we saw with AWS and other data centers).

But what if they are running a neutral and globally accessible AGI technology, available to any country in the world, and virtually impossible to shut down even under attack? There would be no strategic advantage for any enemy to destroy them - it would only mean wasted resources and possibly trigger a free retaliation.

Adoption won’t be just retail (“solo” miners) - it will also be institutional. (Who knows… maybe this post reaches owners of giant mining farms and sparks their interest in testing QUBIC?)

It’s a perfect self-reinforcing cycle:

More miners → more external compute → more revenue → more buyback & burn → scarcer and more valuable token → higher price attracts more people → more adoption → more chains being mined.

We’ve already seen the beginning: QUBIC dominated over 51% of Monero’s hashrate in 2025 and now runs Dogecoin mining on separate ASICs (100% AI training + 100% mining).

Imagine this scaled to dozens or hundreds of PoW coins. A true colony of ant draining value from multiple networks to feed and multiply the power of queen Aigarth.

Over time, the circulating supply (~137T out of ~200T total) becomes extremely scarce - far beyond what basic math suggests today. Holders of “just” a few million QUBIC could see life-changing impact.

This is not hype. It’s deflationary tokenomics + real utility from abundant compute + decentralized AGI.

Meanwhile, the world is waking up to sovereignty:

Canada and Germany just launched the Sovereign Technology Alliance (April 2026) to build independent AI and reduce dependence on US/Chinese Big Tech.

The race for computational energy and sovereign AGI has begun. QUBIC is years ahead. QUBIC goes far beyond its whitepaper.

When countries face disruptions to their centralized tech, they’ll have to turn to a decentralized alternative with no single target to destroy or sanction.

It is an asset of computational sovereignty, intelligent energy abundance, and civilizational vision.

Those who understand the flywheel early aren’t just chasing profit - they’re positioning themselves historically.

#QUBIC #Aigarth #UsefulPoW #DecentralizedAI #SovereignAI

[Rudy Nakamoto ₿ ױ @rudynakamoto]

Microsoft just dropped BitNet b1.58: a 100B parameter model running at 5-7 tokens/sec on a single CPU using ternary weights {-1, 0, 1}.

ComeFromBeyond was completely right for years with $QUBIC .

Ternary computing + CPU-first + decentralization = the future of AI.
No massive GPU farms needed. AGI will emerge from a network of ordinary machines.

Qubic wasn’t just ahead… it was years ahead. 🔥

Never sell your QUBIC 👊

#Qubic #BitNet #TernaryAI