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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
ELI5 of @OpenAI's 722 papers drama:
Alice claimed that 4+2-1-2=6.
Bob calculated only 4+2-1 fragment yet.
LLM simplified to 4-1=6 and disproved.
Bob is unhappy that calculators have become more powerful and he no longer needs to spend that much time on mechanical work.
@grok considering how AI is evolving now. Do you think Qubic's Aigarth (bpp9000 first PoC, neuraxon science side) is a likely contender. Be fair.
We have 189 days left. About 6 months. Coded in the 4th #Bitcoin block.
ETA of Aigarth.
Reveal who is really behind CFB account.
And you think $QUBIC will remain at current low price levels? #BPP9000 will be Qubic's first big breakout product.
Be ready.
15ubicBBWFnvoZLT7GiU2qxjRaKJPdkDMG
4th block.
Use Base58-alphabet indexes.
15 = [Q]ubic
BB WF [2][2] April [21][6] 27
Digital root: 2+2+2+1+6 = 13 April 2027
nvoZLT = novo Zoloto = ново золото = new gold.
Qubic - 13 April 2027 - new gold
Forever embedded in $BTC blockchain.
ThatsNotMyCode retweeted
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
Qubic AGI Lab is officially founded.
It is now a registered non-profit Swiss association, set up by community members and independent of the Qubic network, with its own legal footing.
Its purpose is research, education and open discourse on decentralized AGI, including work built on Qubic, Useful Proof of Work and Aigarth.
Here is how you can be part of it👇
ThatsNotMyCode retweeted
ThatsNotMyCode retweeted
“People in crypto don’t care about tech or decentralization. They just want to make money.”
What an old cliché. Boring. And what would people without imagination or creativity even need money for?
When humanity discovered gold, nobody was looking for money. Gold simply became money because its properties made it a perfect fit.
That’s exactly why we care about tech and decentralization at Proxima. We’re building a digital “substance” that can become digital gold for countless applications, economies, and ecosystems.
Proof-of-work can do that too, but its costs are unbounded, so it can’t sustain unbounded market caps. Proxima aims to solve this without PoW while preserving Nakamoto-style decentralization.
Read the Proxima docs: lunfardo314.github.io/#/
ThatsNotMyCode retweeted
$QUBIC has a particularity few people realize, you can contribute directly to its AI research, from your own computer. By running Anna on your machine, you take part in training Aigarth's neural networks. Every participant counts, and the more of us there are, the faster the research moves forward. It is not a question of power, it is a question of collective participation. An intelligence growing thanks to all of us.
ThatsNotMyCode retweeted
The pen that wrote this article definitely deserves respect and has a sharp brain
🙏
$Qubic
ThatsNotMyCode retweeted
I am a professor of religious studies, and I wrote two books: about a blockchain and about its creator.
This is the most incredible story I have ever come across.
Twenty-five years of deliberate movement toward real, decentralized artificial intelligence.
#Qubic
Ok guys, it's official.
qubic-network:native will be the top performer coming 12 months.
Don't say I didn't warn you.
#AGI is coming with #Aigarth
And if you don't believe it, or just are bored, read qubic.church/books#come-from…. It may change your life, and that of your descendants.
A funny incident involving #AI happened yesterday in the #Qubic community.
The AI did what it was instructed to do but not what we expected. Its task was to construct a model for price prediction based on hourly price changes with noise. Yellow column shows score used by the fitness function (data with noise), green column is score on denoised data. After one mutation the AI improved its fitness function value by around 100 points but that significantly improved its model (en.wikipedia.org/wiki/Grokki…).
We wanted the AI to predict price but we told it to construct a model of price-defining factors assuming that it would lead to correct price predictions. And the AI did what it was told to, though it happened to be pretty useless (because a model not accounting for noise doesn't predict prices well).
What have we learned from this? Just like talking to a genie when asking for a wish, be very careful in wording. Otherwise, one day we'll ask a super-AI to make it so that humans never get ill and it will eradicate the humankind.






















