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The Qubic team was in Barcelona this week.
@josesanchezhb from the Science team and Mr.Rose, the incubation lead, attended AI Summit Barcelona as guests, two days at WTC Barcelona with 10,000+ builders and 200+ speakers from across European AI.
Google Cloud, AWS, NVIDIA, OpenAI and the Barcelona Supercomputing Center were all in the room. So was a bio-inspired AI that runs on ordinary CPUs.
Different approach. Same conversation.
#AISB26
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Tomo retweeted
This is the kind of post that could precede a major turning point. I rarely post on this platform because Iβm extremely selective about what I consider relevant and worth sharing.
Rest assured that highly specialized experts in Artificial Intelligence will be closely watching the real-world testing.
This is the moment to understand that we could be approaching something extraordinary as Aigarth begins its practical public testing. From this point forward, its evolution may become increasingly visible, and the results of these tests could potentially anticipate upward momentum for QUBIC, depending on the attention and interest they attract.
This is a critical moment to be sitting on the sidelines!!!
#qubic #aigarth
Just wait for a practical demonstration, we are already working on it - annexplorer.jetskipool.ai/.
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Tomo retweeted
π§ @c___f___b proves his genius once again! The formula for Aigarth AGI will be revealed to tech giants only after $QUBIC touches $0.01. Prove functionality on mainnet first, create massive value, and force institutions into the economy. Masterclass in game theory. ππ #AGI
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Excellent explanation of AGI construction!! $Qubic πͺοΈπ₯ππππ
This is how you know Qubic built TRUE AGI.
@c___f___b on Aigarth's training algo:
1. It creates hypotheses, verifies them, drops wrong ones, returns to put aside ones*
2. It uses the same pattern for different phenomena if they have similarities*
3. It chains simple calculations into complex ones, rearranges them*
And then the killer line:
"All this looks similar to how hoomans reason."
It's not predicting text. It's REASONING. Like us.
LLMs mimic intelligence. Aigartha IS intelligence.
Running on Useful Proof of Work. Feeless. Scalable.
The world has no idea what Qubic is about to unleash.
$QUBIC #Qubic #Aigarth
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Tomo retweeted
$0.01 is the target price that was announced for qubic-network:native
This price was announced by the person behind the two biggest ROIβs in the industryβs history.
From the current price of just ~$0.00000042, we are looking at a massive 23,800x multiplier.
The average retail investor looks at the current circulating supply, calculates a $1.4 Trillion market cap, and screams: "Mathematically impossible!"
They are wrong. They completely miss the picture because they don't understand the mechanics of $QUBIC
To hit $0.01, $QUBIC doesn't need to flip #Bitcoin's market cap. It needs a systemic supply shock. And the mechanisms for this are already live.
The protocol has built-in, hardcoded burn functions that systematically vaporize the circulating supply based on network utilization.
It is an active, hyper-deflationary engine operating silently in the background.
CFB orchestrated a 135,000x on $NXT and a 13,200x on $IOTA.
Now, apply that same brain to a deflationary Layer 1.
Once network adoption hits the tipping point, the burn rate exponentially outpaces inflation.
Study the math behind the utility burn.
Study the asymmetry of returns.
$0.01 isn't just a delusion. Itβs a mathematical end-game.
Courtesy of X7 π«‘
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An AI with a tiny "brain" of just 64 neurons managed to decompose a complex signal into its fundamental frequencies with over 75% accuracyβakin to a pocket calculator successfully performing the job of a massive supercomputer. $Qubic π£ππππͺοΈπ₯πππ»
Yes. Latest exam was about doing the Fourier transform, managed to get more than 75% with just 64 neurons.
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Aigarthβs AI training algorithm is a revolutionary system that thinks like a true geniusβgenerating and testing hypotheses, intelligently adapting patterns, and combining simple ideas into complex conclusions just like a human, yet faster than anyone could imagine. $Qubic ππ£π
We have identified interesting features of #Aigarth's #AI training algo:
1. It creates hypotheses, verifies them, drops wrong ones, returns to put aside ones;
2. It uses the same pattern for different phenomena if they have similarities, applies little modifications to the pattern if necessary;
3. It chains simple calculations into complex ones, rearranges them.
All this looks similar to how hoomans reason.
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Iβm not here on "X" to persuade anyone to get into $Qubic. I believe in the project, I support it, and Iβm going all the wayβitβs either bust or a win. $Qubic is my choice. Iβm just a holder who believes in the project. Iβm not trying to talk anyone into following me. $Qubic ππ
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The September All-Hands recap is live.
The headline: Neuraxon hit 0.38 on ARC-AGI-3, up from 0.13, running on ordinary CPUs with no GPU and no language model, using a brain of fewer than 200 neurons.
Also inside: the Ant Colony is live, a new crosschain oracle lets Qubic contracts read other blockchains directly, and QUBIC is now spendable at over 50 million merchants through AEON.
Full recap π
f.mtr.cool/xvfsqhjh9n
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