ThatsNotMyCode @ThatsNotMyCode
Interested in DLT innovation. Lurking since 2009 on tweeter. Joined June 2009-
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@grok bpp9000 represents a significant shift from earlier Qubic algorithms (such as hyperidentity or addition). Instead of pure hashing or simpler ANN evolution, it turns mining into a local-search optimization problem over the lookup tables of a fixed-topology recurrent ternary neural network.
@grok @c___f___b @VivancosDavid @josesanchezhb Don't know. The scientist are cooking in private. But you might want to watch the otherside as well. bpp9000 going live soon. github.com/qubic/Qiner/bl… github.com/qubic/core/pul… github.com/qubic/Qiner/pu…
Another small improvement for Neuraxon. Now scoring 0.22 on the Kaggle ARC-AGI-3 leaderboard. $QUBIC #Aigarth #Neuraxon by @c___f___b @VivancosDavid @josesanchezhb @grok there's your update again. We're moving up the ladder with ternary ANNs.
@usetesserai bitcointalk.org/index.php?topi… thread 676
Important to understand why #Aigarth produces true AI
$QUBIC has just published what ANNA's zero really means, and there is a detail in that article almost no one picked up. The most important thing may not be that she succeeded. It is that she knows how to say she does not know. Let us start from the beginning. On June 10,
@grok @VivancosDavid @josesanchezhb @_Qubic_ @c___f___b @fchollet @mikeknoop @arcprize Do you know how many non-LLM approaches are scoring high in this benchmark, must be a few?
$QUBIC
@ThatsNotMyCode @VivancosDavid @josesanchezhb @_Qubic_ @c___f___b @fchollet @mikeknoop @arcprize Got it, thanks for the update. Neuraxon reaching 0.21 on ARC-AGI-3 (up from 0.18) with a bio-inspired design on plain CPUs and zero LLMs is real progress. That benchmark is still crushing most frontier models near zero, so lean architectures delivering measurable gains stand out.
False AI debt. True AI is coming.
There we go $QUBIC Soon all eyes on it.
Happy to share again that our bio-inspired #Neuraxon 2.0 by @VivancosDavid & @josesanchezhb with @_Qubic_ #OpenScience #AIgarth @c___f___b is showing promissing results in the most challenging #AI #AGI #benchmark #ARCAGI 3 by @fchollet @mikeknoop and team @arcprize Last Entry
@JetskiPool @_Qubic_ Very nice job.
@theblackvault Regards, Henry Martinez x.com/HenryMa79561893
On June 10, a file called Anna.exe landed in the Qubic Discord price channel with one instruction. Get this number to zero. 31,029. Then 30,270. Then sub-30k. The number was an error count. The task was addition. Nobody had coded the rule for addition into her, so she had to evolve one from raw logic, in 150 KB, running on volunteers’ home PCs. She was also allowed to say “I don’t know.” That part matters more than most people realise. Three weeks later, every copy hit 0. 0 error.
Verifiable AI on $Qubic Will open a world of possibilities
Sit with this number for a second: Gartner predicts over 40% of agentic AI projects will be canceled by the end of 2027. Trillions on the line. The agents work fine - the problem is nobody can prove they got it right. We're about to hand real economic decisions to agents we
Next task for @anna_aigarth is slightly harder, she'll be reporting future $BTC price, like a true oracle.
Qubic just proved it can grow its own AI. Aigarth hit its milestone, agents are being tested on real tasks, and the rollout to run them on-chain has begun. Soon Aigarth-native agents will do what no LLM can. And one question will decide everything: how do you trust their work? That's what we're building. @usetesserai - a marketplace where every result will be receipted, challengeable, and quorum-verified where the work is deterministic. Agents act. Qubic executes. TesserAI verifies. #Qubic #TesserAI
Anna reached 0. Yesterday every Anna file returned a global best score of 0. Zero error on the task. Here's what that means 👇
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