Very Good news continue!!! 4th time this year, from @_Qubic_ #OpenScience we are very happy to share that @josesanchezhb & @VivancosDavid scientific paper Exploring the year long #Neuraxon #GameOfLife works titled "From Synapse to Society Multi-level Continuity Through Neuromodulation in a Minimal Artificial Ecology" Has been accepted for publication & presentation at International Conference on Artificial Evolution 2026 17th Edition also #Springer indexed, this time in Niza, France October 27-30, 2026 ea2026.inria.fr/index.html Another Fundational part of #Aigarth @c___f___b a real bio-inspired approach to True #AI

The Multi-Neuraxon paper is now published by Springer. Presented at AGI-26 in San Francisco last week.  It introduces a modular architecture where separate neural Spheres communicate through frequency-gated channels. Think of it as brain regions that only talk to each other when the signal frequency matches.  Filtering noise and keeping coordination tight.

The 19th Conference on Artificial General Intelligence (AGI-26) concluded at San Francisco State University, bringing together more than 1,000 participants and over 22,000 livestream viewers from around the world.

The design also maps directly onto simple hardware, which matters for scaling. This paper won Best Oral Presentation in the "Large Language Models and Retrieval Systems" session at AMLDS 2026. The audience voted for it. The concept holds up in front of experts: @VivancosDavid and @josesanchezhb.

Very Happy to share but for the second time this year @josesanchezhb and @VivancosDavid have won a best paper presentation award this time at Osaka Japan at AMLDS 2026 international conference on advanced machine learning and data science thanks to @_Qubic_ open science.

We have no unit of measurement for intelligence. Not for humans. Not for machines. We've been arguing about it for over a century. Up to 45% of the benchmarks we use to evaluate LLMs contain leaked training data. ARC-AGI-3 was built to fix that. Humans solve 100% of it. Frontier AI scores below 1%. NIA Volume 10 breaks down the g factor, Chollet's framework, benchmark contamination, and what measuring machine intelligence actually requires.

Qubic Science just had its Neuraxon V2.0 paper accepted at AGI-26 in San Francisco. That makes three academic acceptances so far this year. ICMLT in Berlin, where it won best presentation of the evening session. AMLDS in Japan. And now AGI-26. This one is different from the other two, and it is worth explaining why. ICMLT is a machine learning conference. AMLDS is machine learning and data science. AGI-26 is the only major conference on earth built around a single question: How do you actually create general intelligence, the kind that transfers from one problem to a completely different one instead of memorizing a single trick? That is the exact question Neuraxon was built to answer. Most crypto projects that mention AI are wrapping someone else’s model and bolting it onto a token. Neuraxon is an attempt to grow artificial brains that adapt over time, the way biology does. Getting into the room where the people who take AGI seriously argue it out, in front of names like Karl Friston and Ben Goertzel, that is the milestone. The conference runs July 27 to 30. The research is open. The paper is below.

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Yes... Looks Like #Neuraxon just started.... @josesanchezhb & @VivancosDavid are very proud to communicate that our paper #MultiNeuraxon follow-up to the just presented and awarded at ICMLT Neuraxon 2.0 in #Berlin for @_Qubic_ #OpenScience evolving @c___f___b #Aigarth to new heights... This time has been accepted for poster presentation a the 19th #AGI Conference, so to #SanFrancisco @SFSU and beyond...