Ben retweeted
🧠 $QUBIC BPP-9000 is more interesting than “AI predicts Bitcoin.”
Today, it’s not a live trading oracle.
It’s a distributed search for tiny neural networks that reproduce BTC up/down behavior with fewer errors.
And miners compete to improve them.
#QUBIC #BPP9000
Replying to @THE_chosen_CHAD
## 📍 Where are we now?
Today, every BPP-9000 network has 64 neurons. Each neuron reads three neighbors and decides what to do based on its own rule table. Miners can change three things: the network's starting state, the neurons' connections and the rule tables. The networks take no outside input and work on a single task: a year of hourly Bitcoin direction data. Each identity is ranked by the single best network it finds during the epoch. When the epoch ends, the best networks are exported for analysis, and in the next epoch every tree starts again from new roots.
The system keeps moving forward every week. Epoch 235 brought two changes. The task data moved forward six months and now starts on July 1, 2025. The number of errors allowed for a network to advance to the next step also dropped from 2,920 to 2,190, so advancing now requires fewer mistakes.
For the full technical details, see Qubic's [BPP-9000 explainer](<qubic.org/blog-detail/qubic-…>).
(3/3)
Ben retweeted
Replying to @2xnmore
For me personally $QUBIC is so easy to hold. With what it’s building for, if you don’t understand that this is clearly a LONG-TERM hold and not some “get-rich-quick” dealio, then you obviously haven’t studied it at all. And should just bounce on the next pump because you’re just gonna get REKT otherwise. You my friend obviously see what’s ahead. Because you’re still here. Weathering the storm. With conviction. I know we’re years off. And so I ignore the noise.
I simply just $QUBIC and chill.
😎👊🏽💥
Most AI is judged on its final score.
Neuraxon 3.0 will be judged on how fast it learns.
The next brain design from Qubic’s science team scores each brain on how quickly it reduces its mistakes on games it has never seen.
That rewards real learning, not lucky guesses. 🧵
Ben retweeted
Hey qubic-network:native
“2026 will be better than 2027”
So strap in because Q3 & Q4 is about to get wild!🔥
Ben retweeted
$Qubic Explained like you just woke up!
$Qubic is like a giant shared computer playground that runs digital money and teaches a real artificial brain at the same time. 🧠
Imagine you and your friends all plug your computers into one big system.
Instead of those computers doing useless busywork (like solving random number puzzles just to prove they worked hard), every bit of power they use actually helps grow and train a smart computer “brain.”
That brain gets a little smarter every day because thousands of people around the world keep feeding it real practice.
No big company owns the brain.
It’s open for everyone.
They call the growing brain Aigarth.
Think of it as a digital garden where smart computer “plants” sprout, try things, keep what works, and throw away what doesn’t.
The big dream is for this shared brain to become as clever as a human (people call that #AGI) without one boss controlling it.
That’s the heart of $Qubic.
How the money and the smart part work together (super simple)
• You can send the $Qubic digital money to anyone, anywhere, for free and almost instantly.
No fees eating your lunch money.
No long waits.
• The same computers that move the money are also teaching the shared brain.
💻🖥️
So the energy that keeps the system safe and running isn’t wasted, it builds useful intelligence.
• People can build little automatic helper programs (smart contracts) on it.
These helpers can look at real world info, use the growing brain, and do jobs by themselves.
Want a helper that checks sports scores or weather and then pays someone automatically?
Possible here.
• The special money itself acts like fuel.
When people use the fancy helpers or the brain, some of that money gets used up forever.
That makes the remaining money scarcer over time.
It’s not just another digital coin. 🪙
It’s a whole protocol (a set of rules everyone follows) that turns ordinary computer power into two things at once:
Free, Fast money and a community owned #AI that keeps getting better.
Right now most artificial intelligence lives inside big companies.
They have huge rooms full of expensive computers.
They train the #AI on mountains of data, then charge people or lock it behind walls.
You get a chatbot or picture maker, but the company decides the rules, the price, and who gets the smartest version.
$Qubic flips that.
The #AI grows because the network is running.
Everyday people and their computers do the teaching.
The results are checked by the whole group so nobody can cheat.
It’s #decentralized!!
Meaning no single boss, no secret black box owned by one firm.
Anyone can use it, build on it, or help grow it.
In the #AI world this is rare…
Most projects still lean on #centralized servers.
$Qubic tries to make the intelligence itself as open and shared as the internet was supposed to be.
$Qubic’s Adoption is on the same early path Bitcoin walked, with the wild guesses and the heavy criticism.
$Bitcoin started in 2009 with no price at all.
For almost a year it was just an experiment among a few computer people.
Then in 2010 someone spent 10,000 bitcoins on two pizzas… 🍕
The first real buy and at that moment those coins were worth about four cents each.
Early users started guessing out loud…
“Maybe one day it could be worth a lot if lots of people used it.”
Some even daydreamed that if it became everyday money worldwide, each coin might be worth millions.
Prices slowly appeared, jumped from pennies to a few dollars, then to $30 in 2011 before crashing, 📉and later to over $1,000 in 2013. 📈 fuelled by speculation and hope.
At the same time, $Bitcoin got hammered with criticism.
News sites and big experts called it a scam, a pyramid scheme, a bubble that would go to zero, or something only criminals would use (especially after dark web usage.)
Famous writers and economists said it was “evil,” “dead,” a red Flag 🚩 because no one knew who invented it.
A benchmark score means more when the research behind it can be independently examined.
Publishing 155,192 evolved brains, including failed experiments, turns Neuraxon’s progress into a scientific record others can analyze and challenge.
That openness matters as Qubic works toward Neuraxon 3.0. For $WQUBIC, the connection is the continuing innovation of the underlying Qubic ecosystem, not speculation.
⚠️ QBridge remains discontinued after the incident affecting funds locked on the Qubic side. Do not use it; a verified recovery and redemption solution is still needed.
Not investment advice. DYOR.
#WQUBIC.
The strongest form of decentralization is verifiable accountability.
On Qubic, Computor seats must be earned again every epoch, and no single Computor can finalize network decisions.
For $WQUBIC, that principle matters beyond consensus: restoring trust also requires transparent collateral accounting and a verifiable redemption framework.
⚠️ QBridge remains discontinued after the incident involving Qubic-side locked funds. Do not use it.
Not investment advice. DYOR.
#WQUBIC.
Ben retweeted
Little Miss Zio.
🤮 🇮🇱 🇮🇱 💰💰
Like. Share. Repost.
#vicvotes26 #auspol @LiberalVictoria @newscomauHQ @abcnews #springst
Ben retweeted
We are silent, not idle!
Testing Nxon 3.0 models on a daily basis with @VivancosDavid .
More news soon...
@_Qubic_ Open Science = 🧠 + AI
#Aigarth
Ben retweeted
Proposed tonight on GitHub: BPP9000 trains on live bitcoin data.
Huge !!
source: github.com/qubic/core/pull/1…
Ben retweeted
Именно так наука движется вперёд , я очень согласен с автором в этом, технология $Qubic это именно наука это то что выведет полезность кртипо на новый уровень сделает крипто неотъемлемой частью нашей жизни во всех сферах, потому что это технология которая пришла из-за пределов
$QUBIC just published something you rarely read in crypto: a research team explaining how its own results could have fooled it.
The topic: neural architecture search. Training a network means tuning the strength of its connections. Searching for its architecture means deciding how many neurons it has, how they connect and by which rules they change. The blueprint, before the learning.
First lesson, from the Neuraxon Game of Life, an artificial world where agents look for food, reproduce and die. Across nearly 30,000 parent and offspring pairs, ecological success is barely passed on: a correlation of about 0.02. Luck and location are not inherited. Internal criteria inspired by neuroscience, such as the balance between excitation and inhibition, reach 0.56. To evolve a brain, you have to select what can be passed on.
Second lesson: out of 19 evolvable parameters, only two really mattered. A large search space is not necessarily a rich one.
Third lesson, the most valuable: the winner's curse. When you keep the best out of thousands of candidates, you overestimate its value. The team saw it in its own trials: some brains cleared games on the random draws used to select them, and none on new draws. Its rule now: select with some data, report with other data, and always compare against a random search.
Honesty check: the article admits that selecting brains that work well does not yet prove they learn from the world. And for Neuraxon 3.0, the search method remains "a protocol, not a result".
Part of this work was presented in Nice, at the Artificial Evolution conference. This is how science moves forward: by publishing what did not work, too.
Ben retweeted
We are silent, not idle!
Testing Nxon 3.0 models on a daily basis with @VivancosDavid .
More news soon...
@_Qubic_ Open Science = 🧠 + AI
#Aigarth
Neuronax 3.0 is a revolutionary artificial intelligence system that learns in real-time and is ready to take over the Aigarth ($Qubic) network, elevating decentralized artificial intelligence to a new level! #Qubic 🐜💣☎️🔥💟💎🍀
We are silent, not idle!
Testing Nxon 3.0 models on a daily basis with @VivancosDavid .
More news soon...
@_Qubic_ Open Science = 🧠 + AI
#Aigarth
Ben retweeted
In the world of crypto, not every signal announces itself loudly. Some are hidden in plain sight, waiting to be understood.
@c___f___b ’s statement regarding April 13, 2027, alongside the launch of @_Qubic_ ’s second mining marathon on November 25, raises strategic questions that go far beyond a simple mining event.
The potential connection between @_Qubic_ , @anna_aigarth , and the next phase of AI development deserves close attention.
This mining marathon may be more than just a test of network capabilities. It could be another step in a much bigger technological roadmap.
November 25 could mark the beginning of a new phase, while April 13, 2027, may bring answers to questions that have yet to be revealed.
Perhaps we are not simply witnessing another mining marathon, but a new chapter in QUBIC’s attempt to redefine the relationship between mining and artificial intelligence.
**In the end, markets don't reward hype. They reward execution, innovation, and proven results.**
#QUBIC #anna_aigarth #Crypto #AI
Ben retweeted
Time is ticking, boys! November 18th, the $QUBIC live #BTC price prediction test phase will start using live BTC/USDT data.
Just telling you one more time: Aigarth is accomplished 👀
Source: github.com/qubic/core/pull/1…
#QUBIC #Aigarth #BTC #Bitcoin #AI #AGI #DecentralizedAI #MachineLearning #NeuralNetworks #CryptoAI #Web3 #ETH #LTC #TRON
Ben retweeted
Britain has facilitated genocide.
We must continue to do everything we can to expose the truth and bring about justice for the Palestinian people.
Watch my full interview with @novaramedia here.
youtu.be/ASMyqiy8gNU?si=SWfW…

































