Why are crypto influencers still silent on this? 🤔
$QUBIC is going LIVE this Wednesday with decentralized #Monero mining. After months of testing, the final phase begins, this isn’t a concept anymore, it’s happening.
The first real-world proof that crypto can mine XMR via distributed compute.
Tag an influencer who needs to wake up. 🚀
#Qubic #XMR #Privacy #Mining #AGI
Happy to share again that our bio-inspired #Neuraxon 2.0 by @VivancosDavid & @josesanchezhb with @_Qubic_ #OpenScience #aigarth @c_@c___f___b is showing promissing results in the most challenging #AI #AGI #benchmark #ARCAGI 3 by @fchollet@mikeknoop and team @arcprize
Last Entry we get 0.21% almost double than our first entry at 0.13%
Most Frontier AI's rank 0% or close to it, we are already better than most llms.
Btw:
1.- We use no LLMs or VLMs or alike, just Neuraxon Architecture so no call's to expensive APIs
2.- and 0% GPUs in this case raw plain CPUs
still Long road ahead to rise the rankings but stay tuned for the updates & follow the progress here:
https://t.co/vkLSVLOJ6d…
Neuraxon is #OpenSource in GitHub https://t.co/VrJbR1q6nN…
Demos & Datasets at @huggingface@ClementDelangue and team https://t.co/Vx1tzRZtTx…
Answering a question about the most notable difference between an #Aigarth-based ANN and a Transformer-based LLM:
The latter uses a pre-defined architecture with its pros and cons.
The former builds an efficient architecture inside itself during training/evolution. Underlying #IntelligentTissue is powerful enough to replicate a Transformer-like architecture.
From another angle (oversimplified):
Transformer-based LLMs spend their training time on tuning their weights. Aigarth-based ANNs spend their training time on writing their internal program code, there are no weights anyway.
An interesting observation:
Right now we are training @anna_aigarth on #Qubic discord to predict $BTC price. Prediction is based on past price dynamics and #Anna was instructed to signal when she has processed a datum and needs to be fed with another one. During evolution she changed her "brain" in such a way that the delay is no longer needed, she is able to "chew" data on the fly.
PS: We use 334 elements in our time series.
Neuraxon Live Sesion 2 https://t.co/G0IJoRb8de is booming with clusters, with 17K total managed, and very long lived ones, most for days, time to start Sesion 3, with a new base brain just developed, save your Nxrs if you haven't already before 08.00 UTC
For $QUBIC future growth and to become a deflationary coin, we need this halving to reduce emissions by 50% — from 453B to 226B. Everyone who wants to see $QUBIC succeed should vote 𝐘𝐄𝐒 in the upcoming proposal on 𝐉𝐮𝐧𝐞 𝟑. 🗳️
If you want to see a 5x price increase, computors must vote YES. Without this change, organic growth could slow down badly and hurt $QUBIC long-term future.
#QUBIC #Crypto #Bitcoin #Altcoins #Blockchain #Deflationary #Halving #CryptoNews #Bullish #Web3 #DeFi #OpenSource #CryptoCommunity #Altseason #QubicNetwork
More updates on the🪼#Neuraxon front from @_Qubic_#OpenScience hybridized with #Aigarth@josesanchezhb & @VivancosDavid are proud to share #NeuraxonLive
Game Of Life Server + Client so you can Deploy your own world of 🪼based on Game of Life 5.0
Full open source code at: https://t.co/SJuYIL0BOA
Deploy your own server or use ours.
Breed your own 🪼the first season just started,
is live at https://t.co/H5KcaO9vSy
- Will yours live forever? -> If so share your 🪼
- Will yours be on top of the rankings?
This season world max is 500🪼and max 100 Custom Nxers claim yours now!
Why it matters?
Neuraxon Live isn't a simulation you load and reset — it's one neural world running 24/7, "forever", where every creature carries a real g-capable brain that forages, mates, sings, and dies on its own.
You're not watching a replay; you're watching open-ended evolution and emergent intelligence happen live, ranked all-time across every NxEr that ever lived.
Open a browser, zoom in, and you can literally hear artificial minds being shaped by selection in real time. 🧠🌍
GPU Mining Revenue Report | Qubic vs. The Field
Setup: 6x RTX 3080 Ti | ~1.57B it/s
Daily revenue:
Qubic AI Training → $5.82/day
Karlsen → $4.67/day
Evrmore → $2.72/day
Kerigan → $2.70/day
Quai → $2.44/day
Zano → $2.30/day
Qubic leads the field. Not by a little.
And that's just the data. Here's the bigger picture.
Qubic started by dominating CPU mining during the XMR and Tari phases.
Then came DOGE ASIC integration, which turned Qubic into the most profitable way to mine DOGE, consistently outperforming traditional pools epoch after epoch.
Now GPUs are entering the story, and Qubic is sitting at the top of that table too.
CPU. ASIC. GPU. Very few projects have integrated all three. Almost none are leading profitability in two of those three sectors at the same time.
Epoch 215 and a new algo are coming. Curious to see where this goes next.
Note: These are revenue figures. Electricity and operating costs are not factored in.
Doge Mining Revenue Report | Epoch 213
Mining Sample: QDOGE's Fluminer L1 (5.7 GH/s)
Revenue per GH/s per day:
Mining DOGE + LTC via Qubic
→ $1.00 / GH/s
Mining LTC + DOGE on traditional pools
→ $0.51 / GH/s
That's +$2.81/day. +$19.66 over the week. 97% more revenue on the same hardware.
From the #Neuron to the #Neuraxon Same city, 137 years apart: 1889 to 2026. 3 Spaniards, one mission to unravel the mysteries of the human mind (and replicate them on a machine).
It is a truly humbling honor to be this week @josesanchezhb & @VivancosDavid at the 11th International Conference on Machine Learning Technologies in #Berlin, presenting our biologically inspired Artificial Neuron "Neuraxon" thanks to @_Qubic_ #OpenScience https://t.co/l1Vp6sBOWj in the same city where the first Spanish Scientific #Nobel laureate Santiago Ramón y Cajal showed the world the human neuron for the first time.
#neuroscience #AI #AGI #TrueAI #FromNeuronToNeuraxon