e1000io 🧊⚡️👽 🦾 🌐 💎🌳
1.4K posts


Hoy más que nunca:
"Nada te turbe,
Nada te espante,
Todo se pasa,
Dios no se muda,
La paciencia
Todo lo alcanza;
Quien a Dios tiene
Nada le falta:
Sólo Dios basta.
Eleva el pensamiento,
al cielo sube,
por nada te acongojes,
Nada te turbe.
A Jesucristo sigue
con pecho grande,
y venga lo que venga,
Nada te espante.
¿Ves la gloria del mundo?
Es gloria vana;
nada tiene de estable,
Todo se pasa.
Aspira a lo celeste,
que siempre dura;
fiel y rico en promesas,
Dios no se muda.
Ámala cual merece
Bondad inmensa;
pero no hay amor fino
Sin la paciencia.
Confianza y fe viva
mantenga el alma,
que quien cree y espera
Todo lo alcanza.
Del infierno acosado
aunque se viere,
burlará sus furores
Quien a Dios tiene.
Vénganle desamparos,
cruces, desgracias;
siendo Dios su tesoro,
Nada le falta.
Id pues, bienes del mundo;
id, dichas vanas,
aunque todo lo pierda,
Sólo Dios basta".
Santa Teresa de Ávila.

Español
e1000io 🧊⚡️👽 🦾 🌐 💎🌳 retweetet

#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.
English

@HowToAI_ @c___f___b is this 100% aligned with your vision?
Are we adding any extra consideration in Qubic/Neuraxon model?
English

Yann LeCun was right the entire time. And generative AI might be a dead end.
For the last three years, the entire industry has been obsessed with building bigger LLMs. Trillions of parameters. Billions in compute.
The theory was simple: if you make the model big enough, it will eventually understand how the world works.
Yann LeCun said that was stupid.
He argued that generative AI is fundamentally inefficient.
When an AI predicts the next word, or generates the next pixel, it wastes massive amounts of compute on surface-level details.
It memorizes patterns instead of learning the actual physics of reality.
He proposed a different path: JEPA (Joint-Embedding Predictive Architecture).
Instead of forcing the AI to paint the world pixel by pixel, JEPA forces it to predict abstract concepts. It predicts what happens next in a compressed "thought space."
But for years, JEPA had a fatal flaw.
It suffered from "representation collapse."
Because the AI was allowed to simplify reality, it would cheat. It would simplify everything so much that a dog, a car, and a human all looked identical.
It learned nothing.
To fix it, engineers had to use insanely complex hacks, frozen encoders, and massive compute overheads.
Until today.
Researchers just dropped a paper called "LeWorldModel" (LeWM).
They completely solved the collapse problem.
They replaced the complex engineering hacks with a single, elegant mathematical regularizer.
It forces the AI's internal "thoughts" into a perfect Gaussian distribution.
The AI can no longer cheat. It is forced to understand the physical structure of reality to make its predictions.
The results completely rewrite the economics of AI.
LeWM didn't need a massive, centralized supercomputer.
It has just 15 million parameters.
It trains on a single, standard GPU in a few hours.
Yet it plans 48x faster than massive foundation world models. It intrinsically understands physics. It instantly detects impossible events.
We spent billions trying to force massive server farms to memorize the internet.
Now, a tiny model running locally on a single graphics card is actually learning how the real world works.

English
e1000io 🧊⚡️👽 🦾 🌐 💎🌳 retweetet

Jensen Huang says AGI is here.
We disagree.
His definition? An AI that builds a billion-dollar company. Our definition? What a system does when it doesn't know what to do.
Intelligence is not scale. It never was.
Our Scientific Team breaks down why current AGI claims fall short and what actually matters: integration, not size.
GIF
English
e1000io 🧊⚡️👽 🦾 🌐 💎🌳 retweetet

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.
English
e1000io 🧊⚡️👽 🦾 🌐 💎🌳 retweetet

Qubic’s DOGE mining dashboards are fully public.
But most people don’t know what they’re looking at. Quick breakdown:
Hashrate → Combined Scrypt power across all connected ASICs. Watch trends over days, not minutes. Sudden drops signal disconnections.
Acceptance Rate → The key efficiency metric. Above 95% is healthy.
Dispatcher Status → The bridge between Qubic and Dogecoin networks. If it’s offline, nothing flows. Look for “online” + stable uptime.
Blocks Found → Each one earns 10,000 DOGE. The log shows how frequently the network discovers blocks, which correlates with hashrate growth.
Solution Queue + Stratum Queue → Both should sit at zero. Growing queues mean bottlenecks or stale shares.
Every metric is transparent. Every block is verifiable.
English
e1000io 🧊⚡️👽 🦾 🌐 💎🌳 retweetet

The AI agent era is coming whether enterprises are ready or not.
The companies that survive it will be the ones that built verification into their infrastructure from the start.
Not layered on top. Not outsourced to a vendor.
Built in.
And Qubic is built differently: docs.qubic.org
English

@thetrue_notlie @Srodland This looks like classic FUD/misunderstanding (or possibly a misread transaction). Qubic's feeless + burn-on-use model is unusual, so it's easy to misinterpret how NULL_ID or burns work if you're not deep in the docs/code.
English
e1000io 🧊⚡️👽 🦾 🌐 💎🌳 retweetet

473 billion $QUBIC burned before the game even launched. A church safehouse traded for 7.5 billion. A clan token sold out in 30 minutes.
My Last Match is a post-apocalyptic survival MMORPG built on Qubic where every decision is permanent, every resource is finite, and the world never resets.
No server wipes. No scripted factions.
Politics, alliances, and betrayals all emerge from the players.
Light keeps you safe from the horrors in the dark, but it also draws something worse toward you.
Every asset you earn is yours on-chain, and the game's own currency (matches) will be redeemable for QU at launch.
The closed beta is approaching. We wrote a full breakdown of how it all works, what makes it different, and how to get in.

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🇺🇸Not a bad ranking to be on... 😜 #ThanksAgainTD!
🇦🇷Nada mal estar en este top5. 😜
#GraciasTD!
HoopsHype@hoopshype
Among NBA All-Stars, only Magic Johnson has averaged more playoff wins per season than Jayson Tatum and Jaylen Brown in league history. Still a lot left in their careers, but impressive regardless.
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