elclip ױ retweeted
Very glad to present today our 4th #Neuraxon Paper this year at #ArtificialEvolution 2026 in #Nice with @_Qubic_ #OpenScience joint work with @josesanchezhb and @VivancosDavid
elclip ױ retweeted
Day 2. Artificial Evolution. Learning from Carlos Fonseca. Morning keynote. With @VivancosDavid for @_Qubic_ 👊👊👊
elclip ױ retweeted
Artificial Evolution Conference. Niza 2026. Ready to learn and share research paper with @VivancosDavid for @_Qubic_ science. #ArtificialIntelligence #Blockchain #Qubic .
elclip ױ retweeted
You may remember our awarded paper for @_Qubic_ #openscience at AMLDS in #osaka #japan now it is live at @IEEEXplore ieeexplore.ieee.org/document… The Neutral Buffer State: #Trinary Logic Advantage in Branching Ratio Stability for Continuous-Time Networks
elclip ױ retweeted
You may also remember our #neuraxon 2 paper for @_Qubic_ #openscience also awarded this year in #icmlt #Berlin the city where #Ramonycajal showed the neuron to the world, well paper just released also at @IEEEXplore ieeexplore.ieee.org/document… Neuraxon v2.0: A New Neural Growth & Computation Blueprint. Time to keep building bio inspired #trueAi #nollm #aigarth
elclip ױ retweeted
🔥 3 NEW RECRUITS 🔥
While the Web3 community sleeps we are gathering in strength and numbers. These guys arent rookies they are serious gamers and are already proving their worth.
Fancy Joining the Clan? DM us.
FYI Shadow Tech (cloud gaming) also enables Mac users to 🎮!
elclip ױ retweeted
It's nice that we have Vitalik who brings attention to problems, not nice that he waited that long. I warned about #AI hacking cryptography 9 (nine) years ago. And even proposed a solution.
reddit.com/r/Iota/comments/7…
Hoomans are so slow...
elclip ױ retweeted
Au contraire.
C'est une nouvelle ère qui s'ouvre pour les mathématiques.
Une ère où la démonstration formelle est largement automatisée et où l'accent sera reporté sur le développement de nouveaux concepts, nouvelles abstractions, nouvelles définitions, et nouvelles conjectures.
L'invention du bateau a réduit l'importance de la nage, mais a permis la découverte de nouvelles terres.
elclip ױ retweeted
An #AI without access to a true random number generator (one that nobody can rig) is cooked.
Bookmark this tweet. Within a decade, you’ll see I was right.
elclip ױ retweeted
To AI, a second and an hour are the same thing.
$QUBIC’s argument: real intelligence has to live through time, not just read it.
Here’s something about AI that’s very interesting, and it comes from a deep research piece by the Qubic team.
The AI we all use doesn’t actually understand time. At all.
Think about it like this. To that kind of AI, time is just order. First word, second word, third word. That’s it. It has no sense of how long anything lasts. A pause of one second and a pause of one hour? To the AI, they’re completely identical. It can’t tell the difference, because it never actually lived through either of them.
It doesn’t learn while it’s working either. Its brain is basically frozen the moment it’s trained. It only “remembers” whatever’s in front of it in that one conversation.
Now compare that to your brain. You’re running dozens of clocks at once. From microseconds, like working out which direction a sound came from, all the way up to the seasons of the year. And you learn constantly, in real time, as life happens.
That’s $QUBIC’s whole argument. Real intelligence needs to actually experience time, not just read it like a list. So that’s what they’re trying to build. AI that lives through time, like a brain does
elclip ױ retweeted
Yann LeCun's latest talk at ETH Zürich
"You should not work on LLM. At least if you're in academia, you should absolutely not work on LLMs. There is nothing you can bring to the table.
If you're interested in making real progress in AI, in sort of grounded AI for the real world, if you want physical AI, don't work on LLMs, and don't work on generative models either.
So, as you can probably guess, this does not make me very popular in Silicon Valley."
----
From "Perfology Clips" YouTube channel, (link in comment)
elclip ױ retweeted
That video is 2 years old.
Two years later, we are still far from human-level AI.
Sure, AI has superhuman performance in a number of tasks (particularly in mathematics and coding and answering questions with known answers).
But where is my Level-5 self-driving car?
(Before you ask, Tesla FSD is rated Level 2, Waymo is Level 4).
Where is the self-driving car that can teach itself to drive in 20 hours of practice like any 17 year old?
(Before you ask, we have billions of hours of training data and still can't successfully train a self-driving system by imitation learning)
Where is my domestic robot?
Where is the robot that can do what any 8 year-old child can do?
Where is the robot that can learn a new task as quickly as an 8 year old?
AI still has a hard time with the complexity and messiness of the physical world.
elclip ױ retweeted
The idea of an intelligence explosion caused by recursive self improvement has been around for a long time but until very recently it did not seem imminent. Now many leading researchers think it may happen quite soon. You can read our paper about it here:
casp.ac/reports/intelligence…
elclip ױ retweeted
People ask me why I’m so confident about qubic-network:native
Do I really need to justify myself ?
After all the technical posts about this project, is it still necessary to explain ?
Everything is clear, and it’s always been that way since the very first day I bought my first $QUBIC.
With each passing week, there’s progress—progress that few understand, but it’s happening, one step after another.
I’ll say it again: $QUBIC’s risk-reward ratio is simply explosive and stratospheric.
Don't forget, when everyone was writing off $QUBIC and saying it was over and that it was a scam, I was buying like crazy.
That's the difference.
Believe it or not, $QUBIC is going to revolutionize the industry because that’s the goal.
Courtesy of X7 🫡
elclip ױ retweeted
What INK is showing with his character are his internal structures. 🩻
Check your lungs as they recover from long sprint bursts and stamina returns.🫁
Check the water and food content of your stomach to ensure you dont die of thirst or hunger.🧟
Check which bones are broken.🦴
I can only survive thirty minutes without water. In this hardcore MMORPG everything matters, survive!
@My_Last_Match:
teapawt.net/My_Last_Match?s=20
@Matchlords_MLM clan:
teapawt.net/Matchlords_MLM?s=20
#Qubic #MyLastMatch #SurvivalGame #MMORPG #BlockchainGaming #PlayToEarn #GamingItalia
elclip ױ retweeted
Sorry Solana, Ethereum, XRP, and company fans…
QUBIC will be the crypto with the most explosive ROI in the coming months and years. And I’ll explain why destiny has this reserved.
Being an AI academic gives me some advantages. Even though I’m deep into advanced concepts and developing my own models, I’m waiting for the Qubic API as soon as it becomes technically favorable for my project.
But let’s get to what really matters so the community can understand what’s happening.
When the system becomes available in a decentralized and global way, the ARC-AGI-3 score will indicate the real level of useful intelligence. Here’s the percentage roadmap:
0.2% – Current Stage (Qubic )
• Learns simple rules from just a few examples
• Solves basic puzzles and visual patterns
• Already outperforms many LLMs in pure reasoning (no GPUs)
→ Ideal for experiments and very specific tasks
1% to 2% – First Public Version
• Basic abstract reasoning
• Learns new games or tasks from few examples
• Automates simple flows that change rules
• Useful for light robotics, data analysis, and education
→ Can already be used by companies for repetitive tasks
5% to 10% – Useful Version
• Agent that adapts to new environments
• Simple multi-step planning
• Helps with scientific research and process automation
• Robot control in semi-unknown scenarios
→ Real tool for developers, researchers, and small businesses
20% to 40% – Strong Impact
• Solves complex problems with creativity
• Reliable autonomous agents
• Collaboration with humans on creative and technical tasks
• Applications in supply chain, medicine, engineering, and finance
→ Starts replacing human work in several areas
60%+ – Near-Human Level
• Real AGI in open environments
• Creation of new knowledge
• Advanced robots and autonomous systems
• Economic and scientific revolution
→ Era-changing moment
What’s Qubic’s big differentiator?
Everything runs in a **decentralized** way, at extremely low cost (regular CPU + $QUBIC as gas) and without depending on Big Tech.
The future of AI won’t be just “more parameters.” It will be **more intelligent with fewer resources.**
We are entering the phase where Aigarth’s training will collide with the global race for AI as a sovereign defense infrastructure for nations.
Countries are already printing money to subsidize AI focused on security and independence (China leading, followed by other nations). The US is heading in the same direction. This will create an explosive impact on cryptos with real AI infrastructure.
QUBIC will be the universal democratic model**: economical, well-structured, and built as a genuine AGI - using ternary technology that current LLMs don’t have.
When a decentralized AI can be officially used at global scale, QUBIC’s market cap should enter the Top 5.
The evidence from the traditional world is clear: there will be enormous demand for a reliable, truthful cognitive engine free from external influences.
QUBIC will be considered the highest ROI asset of the next decade.
Qubic is inevitable!
#Qubic #Aigarth #Neuraxon #AGI
elclip ױ retweeted
320M+ wallets analyzed.
Your past trading activity has already been earning you Zaps.⚡️
Zaps will play a pivotal role in incentivizing early users of the platform.
The only question is: how many do you already have?
Connect your wallets and check 👇
app.zaps.wtf/
elclip ױ retweeted
I said "auto-regressive LLMs, in and of themselves, will not lead human-level AI"
That statement is still totally true.
First, the reasoning abilities of current AI systems are based non-auto-regressive search (which is what I have always advocated for). But AFAICT, they do it in token space, which is limited and inefficient. I have claimed that human-like reasoning must be a search in continuous representation space. It looks like the industry is moving towards that.
Second, the self-improvement methods, as currently practiced, only work for domains where the quality of outputs can be scored without human intervention, such as mathematics, code, and scenarios that can be simulated accurately. Not anything else. Humans and animals learn new skills way more efficiently than current RL methods.
Third, the multimodal capabilities of current AI assistants generally use separately-trained encoders (that are not LLMs). This is also what I've been advocating. Except that I think the best way to do this is with JEPA trained with self-supervised learning. The research community is clearly moving towards that (3000 papers on JEPA in just 4 years).
Fourth, if LLMs were a path to human-level AI, we would have domestic robots and Level-4 or Level-5 self-driving cars for consumers by now. And we don't. We certainly don't have cars that can learn to drive in 20 hours or practice like any teenager. We're still missing something pretty huge to claim human-level intelligence (let alone superhuman).
Sure, we now have computer systems that are impressive, very useful, and whose performance is superhuman in an increasing number of domains (coding being one of them).
But that's true of the entire history of progress in computer technology.
Lastly, there is a basic confusion about what intelligence actually is.
It is not the mere accumulation and regurgitation of existing declarative knowledge (which is essentially what LLMs do).
As Jean Piaget famously said, "intelligence is not what you know, it is what you do when you don't know."
It is your ability to solve new problem without any prior training, to act in previously-unknown scenarios, and to adapt very quickly to new situations with minimal training.
We're still far from that.