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Rick Hunter
5K posts
Rick Hunter
@CDR_Rick_Hunter
🇺🇸 $btc $solana $qubic $qmine
Los Angeles, CA Katılım Ekim 2021
647 Takip Edilen649 Takipçiler
Rick Hunter retweetledi
Rick Hunter retweetledi
Rick Hunter retweetledi
Rick Hunter retweetledi
Which other project is at $Qubic’s level?
A: None fully match.
Qubic’s combo is unique:
• Useful PoW (mines AI training + Doge yields)
• ~15M TPS feeless smart contracts (C++)
• AI-native L1 with Oracle Machines + bridges
Closest peers:
• Bittensor $tao – best decentralized AI intelligence
• $render / $akash – strong GPU/DePIN compute
• $dynex – similar useful-work neuromorphic compute
Others hit 1-2 pieces. $qubic executes the full stack: Ethereum bridge live, Doge mining ramping, Aigarth advancing, governance rolling.
Still the sharpest edge in AI + L1 crypto.
#Qubic #DePIN #AI
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$qubic $qmine
REVO@REVOcommunities
📢 Dove 🕊 of peace has created peace between Revo & Eko... 🤝 We have some amazing projects in Qubic, incredibly passionate investors, Developers, and scientists... It's time we come together in unison behind the Qubic project, and occasionally wipe the slate clean for the benefit of all of us. Arguments are only natural within a community of investors where we have invested our real money into the project. I have consistently said that Qubic should be at least $1million mk cap at the current time. So...I have been asked if I would be interested in streaming for Qmine. I am no fool and obviously wanted to get a bag together of this passive income Protocol, and if successful, open the door to streaming for Qubic again... So with that I can announce: Q-Stream Fri 22nd May 7pm uk / 2pm EST Live on >>> @REVOcommunities And >>> @Revo88888" target="_blank" rel="nofollow noopener">youtube.com/@Revo88888
And any big X accounts that are able to link up and share would be good. @_qMine_ I will be giving investors a weekly report on what passive income Qmine gives in returns based on my holding, even at the low Qubic price >> and what we can anticipate in the future. 📊 $QUBIC QCT
$qubic give a listen, @samsonofLA
Is qubic-network:native Really Centralized? Debunking Concerns
youtu.be/P8rGkvvVa5w?si… via @YouTube
YouTube
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🚀 Big news for $qubic and AI!
MultiNeuraxon just joined the @nvidia #CUDA family! Now you can train your bioinspired AIs on powerful NVIDIA GPUs.
CPUs handle the smart control while GPUs do the heavy teaching and computing at lightning speed.
This is huge for #Aigarth and decentralized AI! Open source, open science.
The future just got a lot faster.
What do you think? @_Qubic_
#MultiNeuraxon #CuNxon #OpenScience
Milly@MillyCrypto_
Upgrade 📫 $Qubic’s AI just entered the $NVIDIA GPU era 👀⚡️ Multi-Neuraxon now supports CUDA… meaning NVIDIA GPUs can help train and scale @_Qubic_ ‘s bio-inspired AI much faster. 🧠🔥
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$qubic
BCharles@bruno_charlies
As a developer, one of the biggest challenges when working with AI for building code is that the LLM sometimes turns into a complete idiot, endlessly looping on the same problems. You then have to persistently instruct the AI to change its approach. This behavior isn’t the only issue. Errors and sudden crashes in the middle of the interaction clearly reveal the fragility of the system. In practice, it’s common for the model to fall into repetitive reasoning loops, repeating the same failed solutions indefinitely even after dozens of correction prompts; to generate severe hallucinations, inventing functions, libraries, APIs, or syntaxes that simply don’t exist; to completely lose the context of long conversations, forgetting initial requirements it had previously confirmed; to deliver inconsistent code between iterations; or to suddenly freeze with empty, generic, or completely off-scope responses. A true reset in the architecture of inference engines is necessary. Qubic’s ternary approach, using states -1 (inhibitory), 0 (unknown/neutral), and +1 (excitatory), allows it to natively represent uncertainty and ambiguity, instead of forcing a binary decision like traditional models do. This eliminates the root cause of hallucinations, because the system doesn’t need to invent answers when it lacks sufficient information , it simply maintains the “unknown” state and continues evolving adaptively. The continuous-time processing, combined with lower information loss during recurrent updates, prevents infinite loops and sudden crashes, creating a much more stable and resilient inference, inspired by biological mechanisms that do not collapse under pressure. Qubic is the only infrastructure with a ternary approach capable of solving these hallucinations. #qubic #aigarth
QCT
Rick Hunter retweetledi
BREAKING: The CLARITY Act has cleared the Senate Banking Committee @BankingGOP 🇺🇸
Next steps: full Senate vote, House reconciliation, then the President's desk.
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Rick Hunter retweetledi
JUST IN: Crypto Clarity Act advances through the Senate Banking Committee.
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Rick Hunter retweetledi
