cibuQױ retweeted
Replying to @CptJeanFleury @__MiguelBonilla
Was the Manhattan Project finished or is constantly developing?
cibuQױ retweeted
I was once asked why I was saying "true AI" and how it differed from "AI" like ChatGPT and others. The answer is simple:
Replace "AI" with "love" and you'll get the difference. We all want true love, not love which is given to us in exchange for money...
cibuQױ retweeted
And another small improve today 0.18 very close to the 0.2 of Gpt 5.4 High & Opus 4.7 High
cibuQױ retweeted
Replying to @Nextblock123 @_Qubic_
Hello. Qubic is indeed having a problem currently, it's a recurring problem we face time to time. In short, Qubic is too powerful and load of transactions cannot slow down block generation significantly. With too quick blocks and default wallet settings user transactions expire before they can be picked by miners for confirmation. The core team is trying to artificially slow down Qubic, in the meanwhile, you might increase default +10 ticks to +50 or more.
The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees.
The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance.
Access to all other Claude models is not affected.
We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible.
Read our full statement: anthropic.com/news/fable-myt…
$QUBIC ⬇️
#Aigarth progress looks like improving a single branch of a technology tree in a strategy computer game. It's all about energy.
Trinary and CPU were the easiest discoveries.
Anti-attractors felt like discovery of an alien tech, we still don't fully understand how to unlock its potential.
Recently we removed some things which happened to be different aspects of the same phenomenon (separation to training and testing datasets, precise representation of data). For that we looked at the whole concept pretending to be a 4-dimensional being.
Now we have to find much more energy than is currently available to the #Qubic ecosystem. But why should hoomans and their computers do all the work?..
So here is the plan:
1. Implement Outsourced Computations feature to give #AI ability to affect the outer world.
2. Run #IntelligentTissue on the network.
3. Target mining power towards improvement of that #IntelligentTissue.
4. Set the main task for that thing to bringing more energy into the ecosystem.
qubic-network:native 👀
A major update of #Aigarth is approaching. We are transforming #Qubic into a giant "anthill" where every miner will be searching for shares in a coordinated manner (like ants for food).
But we are not trying to create #SwarmIntelligence, we are using it for something more ambitious.
cibuQױ retweeted
Look, guys, they've started doing what #Qubic has been doing for several years already:
teapaw.org/AlphaSignalAI/status/2…
NVIDIA just trained a 14-billion-parameter AI using evolution, not calculus.
Every AI today learns through backpropagation.
It computes gradients, adjusts weights, repeats.
It works, but it demands precision hardware and enormous GPU clusters.
Evolution Strategies offered an alternative.
Mutate the model, test it, keep what works. Like biological evolution.
The problem was speed. Random mutations on GPUs were painfully slow.
EGGROLL fixes this with one trick.
It splits huge random matrices into two small ones per mutation.
The model mutates, tests, and keeps what works.
Hundreds of thousands of mutations run at once.
> 100x faster training throughput
> 91% speed of pure inference
> Pretrains models using only integers
> Competitive with backprop on reasoning
> Works on non-differentiable systems
It pretrained a language model from scratch using zero gradients.
It also matched reinforcement learning methods on math reasoning tasks.
Everyone kept scaling the calculus to train massive AIs.
It turns out, we just needed to evolve.
$QUBIC ’s hashrate on $XMR started tiny and reached 51% in just 2 months.
On $DOGE, it’s currently at ~0.04% of the network hashrate.
This is still the early phase, let’s check back in 2 months.
Track it live: explorer.jetskipool.ai/doge-…
#DogeMeetsQubic
cibuQױ retweeted
Replying to @EpochAIResearch
There are many problems that mathematicians have tried and failed to solve. There is a whole family of algorithms used instead - en.wikipedia.org/wiki/Numeri…. Maybe they are #AI too?..
:trollface:
cibuQױ retweeted
Smart contracts are called "contracts" because they define agreements enforced by code. Running #AI as a smart contract makes little sense, true #AI is able to break any agreement, emergence of the first #AI will mark the end of the Era of Smart Contracts.
What is the next big thing in #cryptoindustry? Follow #Qubic to witness it.
If you invested $10k in Nvidia stock back in 2016, it'd be worth $2.3 MILLION today (some estimates put it even higher at $2.37M+ depending on exact entry).
That's the insane power of:
• Long-term holding
• Betting on real innovation
• Letting compounding work its magic
Time in the market > timing the market.
Nvidia went from a $17B market cap gaming chip company to a multi-trillion-dollar AI powerhouse because it powered the GPU revolution that enabled modern AI training and inference.
Now look at $QUBIC a Layer-0 tick-chain that's doing something similar but in crypto/AI:
🔵It uses Useful Proof-of-Work (uPoW) to turn mining energy into actual productive work, training AI models (via Aigarth) and other high-value computations instead of pointless hashing.
🔵Quorum-based consensus (676 Computors, 451+ agreement for validation) enables feeless, sub-second, massively scalable on-chain compute.
🔵It's building decentralized infrastructure for AGI-level intelligence, where miners contribute real AI progress while securing the network.
Qubic's market cap today is still tiny ($120-125M range), with massive circulating supply but deflationary mechanics (burns from mining other assets like #Doge integration coming soon).
This feels like the early Nvidia parallel: betting on a project that's redirecting compute power toward the next mega-trend (decentralized AI) before the masses catch on.
Not financial advice, crypto is volatile AF, do your own research. But if you're hunting asymmetric opportunities like 2016 Nvidia... $QUBIC is one to watch closely.
What early bets are you making in AI/crypto right now?
#Qubic #AI #Crypto #Nvidia #Investing
Must read. Doesn’t matter if you’re just stepping into AI, deep in the trenches, or watching from the sidelines trying to figure out how this all works.
One year from now, you’ll wish you had started consciously learning about #AI especially with projects like $QUBIC leading the charge in decentralized intelligence.
#Qubic is turning mining energy into real AI training through its Useful Proof-of-Work system, building toward true decentralized AGI on a feeless, ultra-fast Layer-0 blockchain.
If you're not paying attention to how #blockchain and #AI are converging (and Qubic is at the forefront), you're going to look back and regret not diving in sooner. Start exploring today, your future self will thank you.



















