Qubic's smart contracts can think.
Oracle Machines let them see what is happening outside the chain.
But until now, they could not act on it.
They could not send an instruction outward to another system and have it executed.
That changes with outsourced computations.
And it just passed its first full test. 🧵
The first #CFB message came in 2023, when he told the community that if #Aigarth was accomplished, a $𝟏𝐓 𝐦𝐚𝐫𝐤𝐞𝐭 𝐜𝐚𝐩 would be reached without a doubt.
Today, 3 years later, CFB is saying that #Aigarth has already been achieved. Only optimization is left. Buy as much $QUBIC as you can. Don't tell me I didn't warn you.
This is the second time in history this is happening, just like in 2009 when #BTC was worth only a few cents, and in 2015 when #ETH was around $3. Now the same thing is happening with $QUBIC👀
If you invest just $200, it could become $3M USD. That's around 16,000x. Hehe 🔥
𝐃𝐨𝐧'𝐭 𝐛𝐞𝐥𝐢���𝐯𝐞 𝐦𝐞? 𝐉𝐮𝐬𝐭 𝐰𝐚𝐢𝐭 𝐚𝐧𝐝 𝐲𝐨𝐮'𝐥𝐥 𝐬𝐞𝐞.
#QUBIC #Aigarth #ANNA #CFB #AI #AGI #Crypto #CryptoAI #Blockchain #UPoW #Bitcoin #BTC #Ethereum #ETH #Altcoins #BullRun #1000x #16000x #Web3 #FutureAI
Answering a question about the most notable difference between an #Aigarth-based ANN and a Transformer-based LLM:
The latter uses a pre-defined architecture with its pros and cons.
The former builds an efficient architecture inside itself during training/evolution. Underlying #IntelligentTissue is powerful enough to replicate a Transformer-like architecture.
From another angle (oversimplified):
Transformer-based LLMs spend their training time on tuning their weights. Aigarth-based ANNs spend their training time on writing their internal program code, there are no weights anyway.
An interesting observation:
Right now we are training @anna_aigarth on #Qubic discord to predict $BTC price. Prediction is based on past price dynamics and #Anna was instructed to signal when she has processed a datum and needs to be fed with another one. During evolution she changed her "brain" in such a way that the delay is no longer needed, she is able to "chew" data on the fly.
PS: We use 334 elements in our time series.
QUBIC surpasses Elon Musk's GROK!
The Neuraxon 2.0 artificial intelligence architecture, developed within the Qubic ecosystem, achieved 0.13% on the ARC-AGI-3 benchmark, surpassing the 0.10% presented by xAI Grok's beta model by Elon Musk.
qubic-network:native 🧠
via @ualifiaraujo 💙
https://t.co/ZH6XlVj3m6
$QUBIC 's house own #Neuraxon just beat @elonmusk --> @grok 4.2 on ARC-AGI-3 @arcprize
Let that slowly sink in anon!
qubic-network:native 🧠
https://t.co/0fyKNVprP6
One statement from QUBIC founder @c___f___b caught my attention:
"It's almost finished, only optimizations left."
This is one of the most interesting comments I've seen about the $QUBIC ecosystem recently:
If that's even partially accurate, then we're approaching a very important phase.
Building a new #AI architecture is one challenge.
Optimizing, scaling, and proving it under real-world conditions is an entirely different one.
That's what caught my attention about the Neuraxon/Aigarth approach:
🧠 Bio-inspired architecture
🚫 No LLM dependency
🚫 No massive GPU clusters
⚡ CPU-based experimentation
🔬 Open science and public benchmarking
Will it work?
Study $QUBIC
Some of the most important breakthroughs in technology started with people pursuing ideas that everyone else ignored.
The next 12 months could be very interesting for the $QUBIC ecosystem.
What do you think is the biggest challenge ahead for Neuraxon and Aigarth?
If you want to see #QUBIC print a GOD candle, LIKE and RETWEET this post.
$QUBIC is a very bullish #AI project driving mass adoption.
The project has a very vibrant and strong community.
Here's how @QUBIC is looking on the chart 📈.
For years, Qubic has been building three things.
The ability to think.
The ability to observe.
And the ability to act.
July brings the third piece one step closer. 🧵
The majority of AI projects show you the winners, while quietly burying the failures.
Qubic just published all of them.
34 runs. 5,936 architectures. 68,664 files.
The biggest accomplishments alongside every dead end, uploaded raw to Hugging Face.
It’s called the Neuraxon Game of Life: a world where tiny spiking brains live, eat, mate, and explore, while a search hunts for the one design that survives best.
Every brain was scored on a single fitness number plus ten biology-based metrics.
The champion (trial 191, fitness 9.40 on 24 neurons) sits alongside architectures that scored as low as 3.77 and died out.
Even if you never touch crypto, this is why open data matters:
• A researcher can test the method.
• A skeptic can audit the claim.
• A builder can take the best brain and push it further.
The data is labeled honestly: raw research output, rough edges and all, under an open license.
An actual lab notebook.
What would you build with 5,936 evolving brains?
We are witnessing the greatest innovation of our lifetime.
@c___f___b’s vision from 2012 is now becoming a reality through @Qubic.
AGI will emerge in April 2027.
$QUBIC will make the millionaires this next run. If you’re just starting out in #crypto, then this is your best chance at making something. Ignore the influencers pushing larger caps, many of them got in when they were small. Only use money you can afford to lose. ✍️