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

Help me #Qubic

Don’t miss your chance with $QUBIC. $0.01 is programmed. Aigarth is finished, and now the only thing left is to deploy True AI into the $QUBIC ecosystem 🔥 SEND IT 🚀 #QUBIC #Aigarth #TrueAI #AI #Crypto #Blockchain #Web3 #DePIN #AGI #QUBICCommunity #Altcoins #CryptoTwitter #BTC #BullRun

“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/#/

$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.

The pen that wrote this article definitely deserves respect and has a sharp brain 🙏 $Qubic

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

#AISafety #AGI

Important message to remember. #AGI #History

The 4 #ai superpowers can try stop #AI but they are just wrong, meanwhile great news for Qubic #OpenScience #neuraxon by @VivancosDavid & @josesanchezhb with @c___f___b @_Qubic_ #aigarth continues improving at @arcprize #arcagi3 new best score 0.38 #nollm #nogpu just #bioinspired digital 🧠

We have got another confirmation that BPP9000 algo run on #Qubic is indeed capable of constructing a model of any asset price dynamics. We trained several models that were fed with data distorted with deliberately added noise. All these models improved the fitness function value on the data without the noise. In other words, our artificial neural networks see what affects the price and we can ask them to predict the future. We are keeping training more models to increase statistical significance of our observation.

In #Qubic we have discovered something which looks obvious after you know about it: If #AI training is going slow then in the end it will likely fail to generalize the problem at hand and will overfit, if manage to get to a good value of the fitness function at all. Fast-trainable #AI successfully constructs a well-generalizing model in almost all cases.

#AI innovations

It was a bright cold day in April, and the clocks where striking thirteen. The year is 2027, @c___f___b is instructed to create decentralized AGI with #Aigarth. Even before 2030, because centralized AI companies are making a mess of the world driven by their hunger for power.

#Bitcoin #SatoshiNakamoto Happy pre-genesis day. serhack.me/articles/story-be…

Proxima has started its journey to decentralization. The pre-launch network is open, and anyone can join. It took years to get here. Proxima is a new L1 with a radical innovation at its core: cooperative consensus, reached on a DAG of transactions by token holders cooperating rather than competing. No blocks, no block proposers, no committee, no proof of work behind the consensus. Just token holders. It is Nakamoto-style decentralization on a proof-of-stake footing. It is fair-launched. Nearly all of the supply is mined by whoever wants to, with proof of work that distributes tokens and does nothing else. There is nothing to buy and nothing for sale. And the ledger itself is what we always wanted a UTXO ledger to be: fully programmable covenants and native tokens, from day one. We are doing it in takes. The network starts centralized, in a pre-launch phase that can be stopped and reset at any time, and it will take a few takes to get it right. Each take goes a bit further than the last, until one of them decentralizes and just keeps going on its own. This is take 0. If that sounds like your kind of thing, come mine, run a node, break it, and share with the community what you found.

#Qubic's deficit of mining power, used for #AI training, has led to an unexpected discovery. We have found a way to train AI faster without adding more mining power. Hard to believe, but, unlike saying "Just stop being poor" to poor people, instructing AI to train faster does work. Looks like we are updating the mining algo soon...

This is why $QUBIC is creating true artificial intelligence. Watch this very closely #bpp9000. LLMs are not the way to go. @ylecun agrees on this. The pioneers of AI.

🧠Today with @OpenAI #Astra all over the news on @arcprize , @fchollet we also have news from our work @josesanchezhb @VivancosDavid #Neuraxon 2.0 by @_Qubic_ #OpenScience #aigarth @c___f___b - Today for the First time we achieved Level 8 on one of the training games, finishing a all the levels. - And consitant 0.45x faster than humans in some game at level 1 like the one you see in the video, with the real small nxon brain with 8 spheres playing level 1 of r11l in the bottom. - But more imporantly this is real digitalbrains evolving daily to learn, #NoLLMs , #NoGPUs just bioinspired digital brain in action. - Also Today we moved a bit our last mark in the real Kaggle test to 0.28, this may look not to much we are beyond the middle of current scores now but wait: 1. - Literally you could run Nxon it in an old smartphone. 2.- For the Kaggle Game the top scoreres are using the GPU provided and emmbeding "small" #LLMs pretrained with harness to the task if we do so we could also climb the benchmark, but no we won't do that, we just use #Neuraxon 2.0 evolved over a couple months github.com/DavidVivancos/Neu… we are buildin #TrueAI not bruteforce compute/energy 3.- And the best is that Once Kaggle challenge ends (november 2nd) everything will be open source as allways in Qubic Open Science. 4.- Neuraxon 3.0 is advancing and will join the game soon, so stay tunned for more updates and thanks for your support!