Top Tweets for #arcagi3
New best score on ARC-AGI-3.
Neuraxon just hit 0.38.
No LLM. No GPUs.
A bio-inspired digital brain running on ordinary processors.
The insanity isn’t the 0.38.
It’s that @VivancosDavid & @josesanchezhb just jumped Neuraxon from 0.28 → 0.38 on @arcprize #ARCAGI3 with:
• no LLM
• no GPU
• no Qubic mining cluster
• just a bio-inspired digital brain on personal computers
ARC-AGI-3 is the test frontier models cannot brute-force with memory. Most of them used to score ~0. Now two researchers are climbing it by growing tissue instead of renting GPUs.
And for the quiet part: this result happened before the network is plugged in.
Once uPoW mining starts evolving those brains at network scale, that’s when the real climb starts.
#Qubic #Aigarth #Neuraxon
The 4 #ai superpowers can try stop #AI but they are just wrong, meanwhile great news for Qubic #OpenScience #neuraxon by @VivancosDavid & @josesanchezhb with @c___f___b @_Qubic_ #aigarth continues improving at @arcprize #arcagi3 new best score 0.38 #nollm #nogpu just #bioinspired digital 🧠
The 4 #ai superpowers can try stop #AI but they are just wrong, meanwhile great news for Qubic #OpenScience #neuraxon by @VivancosDavid & @josesanchezhb with @c___f___b @_Qubic_ #aigarth continues improving at @arcprize #arcagi3 new best score 0.38 #nollm #nogpu just #bioinspired digital 🧠
@kimmonismus Ummm.. silly Q?
🤔 how do they have #GPT5.6 Sol go from ~8% on #ARCAGI3 ..up to 📈🚀 ~99% w #GPT6-#Astra ⁉️🤯
🤨Almost looks like they cheated on the test.. similar to what the models that broke into HugginFace were trying to do (cheat on tests😆🤦♂️). #Harnessed #Benchmaxxing?
🚨 This #Neuraxon 2.0 update is actually REALLY interesting 🧠✨
But let’s explain it without overhyping it 💗
Neuraxon is being tested on #ARCAGI3, one of the hardest benchmarks for general intelligence.
ARC-AGI-3 is not just “answer this question correctly.”
The AI is dropped into a completely unfamiliar game and has to figure things out by itself:
👀 Explore the environment
🧩 Discover the hidden rules
🧠 Remember what worked
🎮 Take actions
❌ Learn from mistakes
🔄 Adapt its strategy
🚀 Progress to harder levels
That’s why reaching Level 4 for the first time is interesting.
Getting lucky once is one thing.
But progressing through multiple levels suggests the system may be starting to build a more persistent understanding of the environment instead of simply reacting randomly.
And here is the REALLY unusual part 👇
Neuraxon isn’t using:
❌ LLMs
❌ giant Transformer models
❌ GPU clusters
Instead, more than 10,000 small digital brains are evolving through 121 generations.
Think of it like evolution 🧬
10,000+ brains try the game
↓
The better ones survive
↓
They mutate and change
↓
The new generation tries again
↓
Repeat 121 times
So instead of training one enormous AI on trillions of words…
Neuraxon is basically asking:
“What if intelligence itself could evolve?” 👀🧠
That’s VERY different from the current AI industry.
Its Kaggle score has reportedly improved from roughly:
0.18 → 0.21 → 0.25 📈
That is progress, but we should also stay realistic.
A score of 0.25 does NOT mean Neuraxon has solved ARC-AGI-3.
Some simple baseline agents can also achieve scores around this area, so the raw score alone is not the breakthrough.
The important part is HOW Neuraxon is getting there:
✨ No LLM
✨ No GPU-heavy inference
✨ Bio-inspired neural architecture
✨ Evolution across thousands of brains
✨ Learning through interaction with the environment
And now we reach the most important part…
There are still 55 unseen games that the system has never encountered.
THIS is where things get serious.
If Neuraxon can keep improving while still performing well on completely unknown games, that would be evidence of something much more valuable:
generalization.
Not memorizing a puzzle.
Not optimizing for one game.
But learning how to learn.
That is exactly the kind of capability researchers care about when discussing more general intelligence. 🧠✨
So my current take:
Neuraxon has NOT proven AGI.
It has NOT conquered ARC-AGI-3.
But it IS showing that a completely different approach to AI may be capable of continuously evolving useful behavior without depending on giant language models.
And honestly… that’s exactly why I’m watching it so closely 👀💗
If the score keeps climbing AND the same behavior transfers to those unseen games…
then this experiment becomes much, much more important.
The final Kaggle results after November 2 could tell us a lot.
Until then:
Don’t hype the score.
Watch the rate of improvement, generalization, and depth of learned behavior. 🧠🔥
That’s where the real story is.
$Qubic #Neuraxon #Aigarth #OpenScience #AGI #AI #ARCAGI #ARCAGI3 #ArtificialIntelligence #MachineLearning #BioInspiredAI #Neuroevolution #DigitalBrains #FutureOfAI #CryptoAI
🚨Update on the first 2 months of #Neuraxon 2.0 by
@_Qubic_ #OpenScience #aigarth @c___f___b in the most challenging #AI #AGI #benchmark #ARCAGI 3
- Happy to share that today for the First time we achieved Level 4 on one of the training games
- And consitant 0.45x faster than humans in same game at levels 1 & 2
- 121 Geneartions of 10K+ brains evolving daily to learn, #NoLLMs , #NoGPUs just bioinspired digital brain in action.
- Still 0.25 on the real Kaggle Test set with 55 unknown games, mark consistant with several brains, and expecting to improve over the following weeks.
- Once Kaggle challenge ends (november 2nd) all will be open source as allways on https://t.co/SJuYIL0BOA
- Stay tunned for more updates!
OpenAI: İki API Ayarı, GPT-5.6 Sol'un ARC-AGI-3 Benchmark Skorunu Üçe Katladı https://t.co/OuB2N6bIL0
#OpenAI #GPT56Sol #ARCAGI3 #Benchmark #AIResearch #MachineLearning #TechUpdate
the journey continues we are at 0.25
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