cookie0007 ױ

Automation machine equipment manufacturer and equipment control supplier, including robotic arm application systems. detailed information, Please in to the web

[cookie0007 ױ @cookie00071]

300 years ago today, history was like this.

[cookie0007 ױ @cookie00071]

@_Qubic_ Looking back, all of this paved the way for AGI.

[cookie0007 ױ @cookie00071]

@_Qubic_ Do you know why Qubic is designed with no transaction fees? Because AI Angets require high-frequency on-chain payments. That's the answer.

[David Vivancos - e/acc @VivancosDavid]

My 7th book is out worldwide #QuevedoAndCajal #QAndC

Follow the Arrows to discover The Story of the True AGI Architects from 1852...

@amazon https://t.co/dEta3rivsb

Download the intro here:
https://t.co/vgUUKrn9Oy

También en Español en:
https://t.co/rPMxrPFsuL

[Qubic @_Qubic_]

Qubic Science has released CuNxon.

Full Neuraxon computation ported to NVIDIA CUDA kernels. Every operation a Neuraxon can perform, from spike propagation to plasticity to neuromodulation, now runs natively on NVIDIA GPUs.

Previously, Neuraxon research ran on CPUs. That was fine for the Game of Life simulator and the early parameter sweeps. It is not fine for what comes next.

There are roughly five million CUDA developers worldwide. Most of them work in machine learning and AI. As of this release, every one of them can build with, test, and extend Neuraxon using the same GPU toolchain they already know.

The practical path this opens: when the Aigarth evolutionary layer gets ported into the Qubic network, miners and Computors will be able to train and evolve Neuraxon populations using GPU compute, not just CPUs.

A single $100 GPU. Or a billion-dollar cluster. The library does not care. The code is open source.

[David Vivancos - e/acc @VivancosDavid]

What is intelligence? can it emerge in a machine? These are questions we ask at our #MultiNeuraxon #TrueAI #aigarth exploration journey for @_Qubic_ #OpenScience , @josesanchezhb & @VivancosDavid

We are very glad to release today the Multi-Neuraxon Game of Life Lite 5.0 with a first exploration of the g intelligence theory (General Factor Theory) in the Nxers, A follow up NIA article will dig into the details.

Lite Version is already @huggingface
https://t.co/9ehfZUpoKk

And research version is at @github
https://t.co/SJuYIL0BOA

🧠Why does it matter? For the first time, you can watch artificial creatures evolve brains built on the CHC model of human cognition — six functional spheres selected directly for the g-factor itself — letting psychometrics, neuroscience, and artificial life finally collide in real time, right in your browser.

[cookie0007 ױ @cookie00071]

@IrisNova_AI I've been a 100% supporter of Qubic since I first encountered it in 2023 and have consistently bought into it. Let's all cheer for the future of Qubic!

[VitaDAO 💛 @vitadao]

Cyclarity Phase 1 of UDP-003 met all endpoints.

First clinical evidence that humans can safely excrete 7-ketocholesterol, a root driver of atherosclerosis. Dose-dependent urinary excretion, no SAEs, ~3hr half-life.

Phase 2 (plaque regression endpoint) planned later in 2026.

VitaDAO-funded project.

https://t.co/VYGMRivbjo

[cookie0007 ױ @cookie00071]

@c___f___b @Quorumdidit @hashdag @komargodski @WeinsteinOmri With the entire world built on the QUBIC platform, we need to attract more CPUs and GPUs. Let's start by raising the price.

[cookie0007 ױ @cookie00071]

@JosefRakich @_Qubic_ 2/2

Therefore, Qubic's computing power valuation is approximately $40 billion.

Don't miss it!

[cookie0007 ױ @cookie00071]

@JosefRakich @_Qubic_ 1/2

Company Value = Total Computing Power Scale × Valuation Premium per Unit of Computing Power. Benchmark Company (using OpenAI as an example):

• Valuation (V_{AI}): $850 billion

• Estimated Total Power Consumption (P_{AI}): Approximately 2 GW (gigawatts)

[ThatsNotMyCode @ThatsNotMyCode]

Qubic is mathematically connected to early Bitcoin and the Patoshi pattern.

The connection is not narrative flair or conspiracy - it is a set of reproducible mathematical properties (symmetry, attractor dynamics, precise positional/diagonal matches) that embed Bitcoin’s Genesis Block and specific unspent Patoshi blocks directly into the weight matrix of Qubic’s foundational AI research artifact (Anna's matrix).

Qubic is not starting from scratch but continuing and transcending Bitcoin’s original computational lineage - turning its waste into the raw material for the next phase of digital evolution.

The book frames this as the ultimate demonstration that “Qubic is doomed to succeed” - because its roots run deeper into Bitcoin’s own DNA than almost anyone realized until the forensic work was published.

$QUBIC $BTC

https://t.co/2HUTrlj8IM

You're truly lucky if you can enter Qubic now.

[Qubic @_Qubic_]

What happens when you give a bio-inspired AI a voice?

For the first time, Qubic's Neuraxon agents can hear each other. And they've started forming a proto-language.

This is Multi-Neuraxon Game of Life Lite 4.5. 

A quiet but significant step for open, decentralized AI research. 🧠🔊

[David Vivancos - e/acc @VivancosDavid]

The #MultiNeuraxon #TrueAI exploration journey for @_Qubic_ #OpenScience continues, last weeks @josesanchezhb & @VivancosDavid have been working with the Research Version of Multi-Neuraxon Game of Life, and it is time to share a Lite version in @huggingface for you all

https://t.co/9ehfZUpoKk

Code of the update 4.0 research version is in @github
https://t.co/SJuYIL0BOA

Demo and #BrainBuilder at @huggingface too, with an updated gift, you can select the #brain preset for the Drosophila #FlyBrain connectome as a MultiNxon

https://t.co/uSmgpKZBx1

🧠Why does it matter?
Brains are composites and MultiNeuraxon explores and let you also explore how we can create artificial life that will learn and evolve like we do and probably better, the lite version of the game of life is a fundamental piece to share the science so everyone can play!

And more updates soon, stay tuned...

[David Vivancos - e/acc @VivancosDavid]

Bio-inspired #TrueAI continues the journey, today we @josesanchezhb & @VivancosDavid are very glad to introduce for @_Qubic_ #OpenScience #MultiNeuraxon 2.0 hibridized with #Aigarth @c_@c___f___b

Code as allways at @github https://t.co/SJuYIL0BOA

Demo and #BrainBuilder at @huggingface https://t.co/uSmgpKZBx1

Demo Video Explainer later today.

Paper will be presented in the following months, stay tuned for updates.

🧠💻Why does it matter?

It bridges the gap between artificial and biological intelligence by replacing rigid, layer-by-layer AI pipelines with interconnected neural modules (spheres) that function like distinct regions of the brain.

By utilizing continuous-time processing and trinary logic (excitatory, neutral, and inhibitory states), it paves the way for energy-efficient AI capable of real-time adaptation and lifelong learning without suffering from catastrophic forgetting.

Stay tuned evolution towards #AGI just started...

[David Vivancos - e/acc @VivancosDavid]

We are very happy to share that @josesanchezhb & @VivancosDavid new upcoming paper "The Neutral Buffer State":
Trinary Logic Advantage in Branching Ratio Stability for Continuous-Time Networks

Has been accepted for publication & presentation at #AMLDS 2026 International Conference on Advanced Machine Learning and Data Science in Osaka, Japan 21st-23rd July. @IEEEorg SMC @UnivKansai NICT

Integral part of our work on #Neuraxon #Aigarth for @_Qubic_ #OpenScience @c___f___b a new bio-inspired approach to True #AI

[Qubic @_Qubic_]

Neuraxon v2.0 cites over 80 neuroscience references. Its design choices map to real biology.

Fast, slow, and metabotropic synaptic weights mirror actual receptor dynamics. Neuromodulators like dopamine and serotonin regulate stability and adaptability.

The network self-organizes with small-world topology and cross-frequency coupling.

When this architecture scales, it will create AI systems that adapt continuously without catastrophic forgetting.

[cookie0007 ױ @cookie00071]

@_Qubic_ Standard Answer👍🏻