md retweeted
Qubic recovery is official and the fund reclaim is open.
The team confirmed overnight that the network is back running. Computors followed the community vote and started recovery mode, so all drained funds now sit in an escrow account.
If your address was affected, the only official claim site is weak-seed-reclaim.qubic.org
What you need:
- your affected ID
- a brand new ID from a fresh, secure seed
- a message signed in your wallet
- proof of ownership, like an exchange withdrawal receipt
There is no rush. Claims are open until May 1, 2027. Approved claims are listed publicly for 7 days before payout, so anyone can dispute them.
Exchanges are still closed for QUBIC deposits and withdrawals. They will announce reopening themselves.
Never share your seed. Ignore DMs and any other "claim" link. The team never DMs first.
#Qubic $QUBIC
only the highschoolers still rely on math.random for building snake and minesweeper games 🙂↔️ $QUBIC
md retweeted
UPDATE 14:00 (Prague): Community tool to check if your wallet was drained 👇
qubicmap.org/check
Paste ONLY your PUBLIC address (60 letters). Never your seed!
The check runs in your browser. The list covers 1,404 drained addresses (~2.94T QU) sent to the 7 attacker wallets.
Unofficial, but the data matches on-chain transfers. Follow official Qubic channels for the claim process.
#Qubic $QUBIC
md retweeted
⚠️ Qubic: v noci vykradli asi 1 400 peněženek. Co víme (stav 11:45)
🔍 Co se stalo
Mezi 1:42 a 3:26 někdo vyprázdnil asi 1 400 peněženek a odvedl celkem 2,94 bilionu QU (cca 1,3 mil. $). Podle moderátorů na oficiálním Discordu za tím stojí slabé seedy, které šlo uhodnout. Tým útok zopakoval a obnovil 4 privátní klíče.
📱 Ohrožené jsou seedy vytvořené na:
• iPhonu nebo iPadu (v jakémkoli prohlížeči)
• Macu v Safari
• staré iOS aplikaci (do července 2025)
⏸️ Síť stojí od 3:32 a zůstane zastavená, dokud nebude vše bezpečné. Výpočetní cluster teď prohledává všechny slabé seedy a už našel další, které zatím vykradené nejsou. Jejich QU, tokeny i QEARN stake mají podle moderátorů ochránit validátoři. Jak se budou prostředky vracet, se rozhodne později.
🏦 MEXC zastavila vklady a výběry. Asi 350 mld. QU, které tam útočník poslal, zmrazí až po nejméně 3 policejních oznámeních od poškozených. Pokud jste přišli o QU, podejte oznámení.
🛡️ Pozor na podvodníky
Seed nikomu nedávejte a nikam ho nevkládejte. Tým Qubic nikomu nepíše do zpráv a nemá žádnou podporu v DM. „Recovery služby“ jsou podvod.
Zůstatek si zkontrolujte na explorer.qubic.org. Oficiální oznámení zatím nevyšlo, sleduji dál.
#Qubic $QUBIC
md retweeted
Qpunks drop is live on $Qubic tickchain.
In the era of digital identity and social media, a Punk is more than an image in a wallet — it becomes the avatar of its owner.
🎟️Total Supply: 200
Mint Exclusively on QubicBay
qubicbay.io/drops
md retweeted
Someone asked me what $Qubic has actually done?
Well…. Here’s just what $Qubic have achieved in the past month.
Qubic’s smart #AI just crushed a really tough test that even big companies struggle with. 🤔
It beat #Grok and came close to the top models out there.
They also won another science award this month. 🏆
Another training project hit perfect results with zero mistakes.
To celebrate, they turned off mining for a short time… but the whole network kept working perfectly the entire time. 🤯
They finished testing new tech that lets the smart programs on the network reach out and get real things done in the outside world.
A big upgrade for those smart programs is dropping on July 29.
After that, they’ll be able to use real world info and do way more useful stuff. 🤓
They’re cutting how many new tokens get made in half soon.
That makes the ones that already exist more scarce similar to how #Bitcoin works.
Miners can already earn extra money by mining Dogecoin at the same time.💰
Bottom line….
Real progress is happening on the #AI side and useful upgrades are coming fast.
Things are moving while most people aren’t paying attention yet, or continue to #FUD $Qubic!🙄
As always I’m just sharing the facts, & accumulating as much $Qubic as possible.
This is Not financial advice, Please do your own research.
If you know you know.
🧊 😎 #Qubic & #Chill
#Qubic #True #Artificial #Intelligence
#Decentralised #Deflationary #Crypto #Gem #Sleeping #Giant #DYOR #IYKYK
md retweeted
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.
md retweeted
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 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:
kaggle.com/competitions/a…
Neuraxon is #OpenSource in GitHub github.com/DavidVivancos/…
Demos & Datasets at @huggingface @ClementDelangue and team huggingface.co/spaces/DavidV……
md retweeted
Qubic's smart contracts can think.
Oracle Machines let them see what is happening outside the chain.
But until now, they could not act on it.
They could not send an instruction outward to another system and have it executed.
That changes with outsourced computations.
And it just passed its first full test. 🧵
md retweeted
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.