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Many #Latam countries without electricity #Argentina #Uruguay #Chile #Paraguay #Brazilian Monday may be a chaos for #economies and #financial system. 😱The global energy system #decentralization using #blockchain tech. it is NOT AN OPTION #news #business powermag.com/blockchain-tech…
Next #blockchain generation #CryptoNews
You know I must admit, when I first discovered the drain to my $QUBIC wallet, I was devastated. I never let it allow me to doubt the project. Never for a second. But it was still extremely scary. As I’m sure it was for all 1404 other souls whom had worked so hard for so many years to accrue this nest egg with the idea of it some day having it better their lives.
It was scary. And heartbreaking. And a moment that absolutely filled all of us with a very intense anxiety. As I could tell from the chaos that was taking place within Discord.
I was envisioning the $QUBIC FUDders sending a comedic backlash my way after I had just long praised the project for all that it is and is still going to be.
And I was ready for it. And I’m still ready for it. And I’m sure I’ll still hear it here. Because I do understand the rhythm of all these non $QUBIC investors that for some odd reason love to busy body and shit talk on somebody else’s project. They’re so frickin’ predictable. And it only makes them look ridiculous.
But whatever. It makes them feel good I guess. So bring it on. It bounces right off of me now. The noise.
Back to my point.
I’m writing this to shine a massive light on how quickly and efficiently and compassionately the $QUBIC team acted after the situation broke out.
Firstly, they caught it before the douch bags could even sell anything. Funds and wallets frozen. On chain and on exchanges.
Secondly. The $QUBIC team and their devs were available to answer questions and cast some hope to all of us that we would very possibly be made whole again while they scrambled to find out how they were going to accomplish this.
Immediate communication with exchanges. Compiling lists of affected wallets. Providing links for as to what to do next. Centering in on what allowed the attack in the first place and working diligently to patch up the problem. And move forward with swift and strong resolve.
All during complete chaos whirling around them from its investors.
Basically they fuckin’ cared.
And within 48hrs a reclaim site was built. With all stolen coins put in escrow. Ready to be redistributed to everyone who lost their $QUBIC with just some very doable and simple show of proof of ownership of your affected wallet.
When have we ever truly seen this in the past?? Not just the speedy action. But an actual resolve that didn’t just consist of a “this won’t happen again because we’ve learned from the mistake” bunch of malarkey. Followed by a “Sorry Charlie” attitude as we’re just supposed to get over the permanent loss of our tokens.
No. It was an actual resolve that is consisting of us actually getting all of our coins back!!
That’s not just rare and remarkable.
It’s practically unheard of and non-existent.
Well done $QUBIC team.👏🏽👏🏽Well done Discord $QUBIC heads.👏🏽👏🏽Well done to all that played a role in this rescue mission. Thank you to all of you. Sincerely.
You know who you are.
Ok $QUBIC FUDders. Let it rip. With your ever predictable slights. “Shit coin” “Scum bag” “Scam project” “CFB is this” “CFB is that” “you’re a clown this” and “I feel sorry for you that” and blah blah blah.🥱🥱🥱🥱🥱 By all means. Please. Say some more of the same stuff…..again.
We don’t care.
We $QUBIC and chill.
😎👊🏽💥
$QUBIC : Review 📜
What if every watt the mining industry burns on meaningless puzzles could be pointed at building intelligence instead, and the benchmark scores were already going up?
Meet Qubic, a Layer 1 built on Useful Proof of Work, where miners compete to produce the best neural networks rather than the most hashes.
Its Aigarth research hit an ARC-AGI-3 score of 0.38 in September on ordinary CPUs, with no GPU and no language model, roughly tripling its result from earlier in the year.
Let's explore the chain that refuses to waste a watt. 👇
⚪ Qubic at a Glance
Marketplace Insight: Qubic sits in the AI compute category alongside Render, Akash, and io net, but attacks the problem one layer deeper by making AI production the byproduct of securing the chain rather than a service sold on top of it.
September gave that thesis its strongest evidence yet, with Aigarth reaching 0.38 on ARC-AGI-3 using ordinary CPUs and no language model, a result the team positions ahead of several frontier models on that specific benchmark.
The clean contrast is between scientific validation and commercial scale. The research is measurable and improving fast, the payment rails are live across 20 million merchants, and the question remaining is whether anyone pays for the intelligence being produced.
⚪ Mission
Qubic exists to make consensus productive and to reach artificial general intelligence through distributed computation. The founding argument is that proof-of-work secures networks by wasting energy on deliberately useless work, and that the same security can come from work that produces something valuable. The chosen output is Aigarth, a system that evolves neural networks rather than training a static model. The deeper thesis is that AI's binding constraint is economic rather than algorithmic, and that a global mining network is the only structure capable of supplying compute at the necessary scale.
🔵 A Brief History
Qubic was founded by Sergey Ivancheglo, better known as Come-from-Beyond, one of crypto's more polarizing technical figures. He co-founded NXT, the first pure proof-of-stake blockchain, and later IOTA, arriving at Qubic with a record of genuine innovation and combative execution in roughly equal measure.
The architecture was unusual from the start: 676 elected Computors governing by quorum, bare-metal execution with no virtual machine, and weekly epochs emitting exactly 1 trillion QUBIC. In 2024, a community vote called Project X cut maximum supply from 1,000 trillion to 200 trillion and introduced the halving schedule and SupplyWatcher contract driving the token's deflation.
2025 produced both the technical high point and the reputational flashpoint. CertiK certified a mainnet throughput record of 15.52 million TPS, unmatched by any other chain. Then between May and August, Qubic's share of Monero's hashrate climbed toward a claimed majority, with Ivancheglo openly announcing plans to demonstrate 51% control. A six-block reorganization was detected, XMR fell sharply, and the Monero community coordinated a boycott and answered with sustained DDOS attacks. Qubic described the episode as a combative application of game theory.
2026 has been about converting theory into shipped systems. The BPP-9000 algorithm went live rewarding the lowest-error neural networks rather than raw hash volume, and Outsourced Computing reached mainnet so contracts could act on the outside world. The second halving executed at Epoch 227 on 19 August, approved by Computors in June, lifting the burn rate from 55% toward 77.5% and halving net weekly supply.
On 20 August the Vottun Bridge, a third-party wrapper operated externally, was exploited for roughly 319 billion QUBIC, leaving Ethereum-side wQUBIC largely unbacked; the Qubic L1, consensus, and native supply were unaffected with no minting involved, and Qubic Core published an on-chain analysis while recovery discussions continued.
The Ant Colony framework activated around Epoch 228, letting mining and AI runs build on prior results rather than restarting each cycle, and a native cross-chain oracle shipped allowing contracts to read other chains without a third-party bridge.
September brought the clearest validation yet. The 17 September All-Hands reported Aigarth's best ARC-AGI-3 score at 0.38 on ordinary CPUs with no GPU and no language model, up from roughly 0.13 to 0.25 earlier in the year, with Neuraxon code open-sourced. Q+Pay and QPAYHUB went live the same day after the settlement contract's IPO, handling non-custodial wallet-to-wallet merchant payments on-chain with over 2 billion QUBIC behind integration bounties for WooCommerce, Shopify, payment links, and tip jars.
The science team presented at AI Summit Barcelona on 22 and 23 September. On the 29th, the Qubic AGI Lab was founded as an independent Swiss non-profit for research and education on decentralized AGI, legally separate from the network, with membership opening in late October and a first meetup in Basel on 7 November. Today, 30 September, Dogecoin mining went live, with ASIC DOGE mining running in parallel to full CPU and GPU capacity for Aigarth rather than trading one against the other, and a burn loop described as activating as it scales.
🔵 Ecosystem Narrative
The organizing idea is that computation should produce value twice, once as security and once as intelligence.
➛ BPP-9000 and quality-based mining. The Useful Proof of Work algorithm rewards the best solutions, specifically the lowest-error small neural networks, rather than raw hash volume, so miners compete on output quality rather than energy expended.
➛ Ant Colony and compounding search. Live since Epoch 228, mining and
AI runs build on prior retained results rather than starting from scratch each cycle, so the network's search compounds instead of duplicating across thousands of participants.
➛ Parallel multi-workload mining. ASIC hardware mines Dogecoin while CPUs and GPUs run Aigarth training at full capacity simultaneously, with no toggle and no trade-off, following the same playbook as the earlier Monero campaign.
➛ Aigarth and Neuraxon. Open-sourced and measurably improving, reaching an ARC-AGI-3 score of 0.38 on ordinary CPUs without a GPU or language model, which the team positions ahead of several frontier models on that specific benchmark.
➛ Q+Pay and merchant rails. Non-custodial wallet-to-wallet settlement live on-chain with 2 billion QUBIC in integration bounties, alongside AEON Pay reach across 20 million merchants in six countries and AlchemyPay coverage spanning 173 countries.
➛ Native cross-chain oracle. Contracts read data from other chains directly without a third-party bridge in the middle, removing an external dependency at the protocol level.
⚪ Token Utilities
$QUBIC functions as computational energy rather than a conventional gas token.
➛ Computation: burned when executing smart contracts and consuming network services, so usage directly destroys supply.
➛ Computor rewards: the 676 elected Computors earn from weekly emissions, with distribution weighted by operational efficiency.
➛ Smart contract IPOs: new contracts launch through Dutch auctions that burn the proceeds, as Q+Pay did before going live.
➛ Payments: spendable through Q+Pay and AEON Pay at merchant networks across three continents, with fiat on-ramps via AlchemyPay.
⚪ Key Features
➛ Useful Proof of Work rewarding the best neural networks rather than the most hashes.
➛ Ant Colony compounding the network's search across cycles.
➛ A CertiK-certified mainnet record of 15.52 million TPS with feeless transactions.
➛ Open-sourced Neuraxon scoring 0.38 on ARC-AGI-3 without GPUs or language models.
➛ Parallel Dogecoin mining alongside full-capacity AI training.
➛ A burn rate lifted toward 77.5%, halving net weekly supply.
🔵 Meet the Team
Qubic pairs a founder with genuine protocol-building history against a scientific advisory bench that publishes in academic venues, which is unusual for a project of this size and is the clearest signal that the AI work is real research rather than positioning.
▶️ Core Members:
➛ Sergey Ivancheglo, CFB [ @c___f___b ] - Founder | Co-founded NXT, the first pure proof-of-stake blockchain, and later IOTA, giving him a rare record of foundational protocol innovation. He designed the Useful Proof of Work model and the Aigarth thesis, and remains the network's principal technical voice.
➛ David Vivancos [ @VivancosDavid ] - Scientific Advisor | Brings external scientific credibility to the Aigarth research programme, part of the advisory bench behind the Neuraxon architecture and the ARC-AGI results presented through 2026.
➛ Dr. Jose Sánchez - Scientific Advisor | An academic advisor on the AI research side, supporting the work on three-state Neuraxon neurons, self-organized criticality, and the multi-region architecture now open-sourced.
➛ Stephanie Nickolich - Head of Marketing and Growth | Leads marketing and growth across the ecosystem, carrying a genuinely technical story, useful mining and decentralized AGI, out to an audience that mostly evaluates crypto on simpler terms.
➛ JoeTom - Developer and Advisor, and Raika - Developer | Core contributors on the engineering side, working across BPP-9000, Ant Colony, Outsourced Computing, the native cross-chain oracle, and the Q+Pay settlement contract.
➛ The Computors | The load-bearing governance entity. 676 elected node operators who run the network, execute computation, and vote by quorum on protocol decisions including the supply cap reduction and both halvings, the second of which they approved in June before it executed in August.
🔵 Ratings
➛ Use Case: ★★★★⯪ (4.5/5). Qubic leads a category it created and has the results to back it. Useful Proof of Work answers AI's cost problem at the root rather than reselling GPUs, the 15.52 million TPS record is CertiK-certified and unmatched, and BPP-9000 with Ant Colony turns global mining into a compounding search for better solutions. The AI output is measurable and climbing: ARC-AGI-3 at 0.38 on ordinary CPUs with no GPU or language model, roughly triple its result earlier this year, with Neuraxon open-sourced. Dogecoin mining runs in parallel with full AI capacity, Outsourced Computing is on mainnet, and AEON Pay reaches 20 million merchants. The 0.5-point deduction is commercial maturity: Q+Pay is weeks old and the AI results are research output, not a product anyone pays for yet.
➛ Tokenomics: ★★★★ (4/5). One of the more aggressive deflationary designs in crypto, and it executes on schedule. The community voted maximum supply down from 1,000 trillion to 200 trillion, and while weekly emission stays at 1 trillion, the burned share keeps rising, hitting 77.5% at Epoch 227 and cutting net new supply from roughly 450 billion to 225 billion a week. SupplyWatcher adjusts dynamically, smart contract IPOs burn their proceeds as Q+Pay did, and a Dogecoin-linked burn activates as that mining scales. The 1-point deduction is that net emissions stay positive even post-halving, with the next step not due until August 2027, so supply is decelerating rather than shrinking.
➛ Audits: ★★★★⯪ (4.5/5). Qubic holds a verified CertiK Skynet Score of 90.45, grade AA, with twelve passed checks and no unresolved alerts, the second-highest score in this series. Underneath sits a separate CertiK certification of the TPS record, a bare-metal architecture that eliminates an entire class of virtual machine vulnerabilities, and an L1 that has run for years without compromise, holding through August with no minting and native supply untouched. Disclosure was handled properly and the new cross-chain oracle cuts reliance on external bridges. The 0.5-point deduction is the August Vottun Bridge exploit leaving Ethereum-side wQUBIC largely unbacked, plus newest systems only weeks old in production.
➛ Community: ★★★★★ (5/5). Qubic's community is among the most active in crypto, and the engagement is measurable rather than claimed. Governance runs operationally through 676 elected Computors who approved both halvings and the supply cap cut, and the base absorbed sustained DDOS attacks and coordinated hostility from a rival network without fragmenting. In September the community itself founded the Qubic AGI Lab as an independent Swiss non-profit for research and education, with a first Basel meetup in November. Developer momentum matches it: the AIO Dev Kit, 2 billion QUBIC in Q+Pay bounties, recurring Community Spaces, twelve free Academy modules, and researchers presenting at AI Summit Barcelona. Few projects this size sustain participation across governance, mining, development, and formal research at once.
🔵 Conclusion
Qubic is the most technically audacious project in this series, and the last six weeks have been its most productive. The second halving executed exactly on schedule, lifting the burn rate toward 77.5% and halving net new supply. Ant Colony made the network's search compound rather than duplicate.
A native cross-chain oracle removed a dependency. Q+Pay went live for merchant settlement, Dogecoin mining now runs in parallel with full AI capacity, and a community-founded Swiss research institute opened its doors. Most importantly, Aigarth scored 0.38 on ARC-AGI-3 using ordinary CPUs, no GPU, and no language model, roughly tripling its result from earlier in the year.
The risks are worth naming. Net emissions remain positive despite the aggressive burn, with the next halving not due until 2027. The August Vottun Bridge exploit left Ethereum-side wrapped tokens largely unbacked, and while the chain itself was untouched, it is a reminder of how much risk sits at the edges of any network. The Monero episode remains part of the public record, an act of combative game theory that cost standing the science has not yet bought back.
But the bull case keeps strengthening. If AI compute economics are the binding constraint of the coming decade, a network that produces intelligence as a byproduct of securing itself is working a level below every GPU marketplace, and its benchmark results are now improving fast enough to be checked by anyone.
Qubic has proven it can build things nobody else has built. What it still has to prove is that the world will pay for what they make.
GPT-6 Astra y Qubic parten de dos enfoques muy diferentes para llegar a la IAG.
🤖 Astra: un modelo gigantesco, infraestructura centralizada y una escala de más de 100.000 aceleradores.
🧠 @_Qubic_ : computación distribuida, unidades especializadas y una arquitectura donde la inteligencia busca emerger de la coordinación.
Uno apuesta por escalar el modelo.
El otro, por distribuir la inteligencia.
Dos caminos. Una misma pregunta: ¿qué significa realmente construir IAG?
Gratis post
These are the categories, subcategories and projects in crypto you should know about.
CHAINS (L1/L2)
➲ Layer 1: Bitcoin and Proof-of-Work
Bitcoin (BTC)
Litecoin (LTC)
Dogecoin (DOGE)
Bitcoin Cash (BCH)
Kaspa (KAS)
Monero (XMR)
➲ Layer 1: Smart Contract (EVM)
Ethereum (ETH)
BNB Chain (BNB)
Avalanche (AVAX)
Tron (TRX)
Cronos (CRO)
Sonic (S)
➲ Layer 1: Smart Contract (non-EVM)
Solana (SOL)
Cardano (ADA)
Near (NEAR)
Aptos (APT)
Sui (SUI)
TON (TON)
Tezos (XTZ)
Algorand (ALGO)
Hedera (HBAR)
Internet Computer (ICP)
➲ Layer 1: App-Specific
Injective (INJ)
Sei (SEI)
Berachain (BERA)
Celestia (TIA)
Monad (upcoming)
➲ Layer 1: Interoperability
Cosmos (ATOM)
Polkadot (DOT)
➲ Layer 2: Optimistic Rollups
Arbitrum (ARB)
Optimism (OP)
Base
Blast
Mode
➲ Layer 2: ZK Rollups
zkSync (ZK)
Starknet (STRK)
Scroll (SCR)
Linea
Polygon zkEVM (POL)
➲ Layer 2: Other Scaling
Mantle (MNT)
Immutable (IMX)
Metis (METIS)
━━━━━━━━━━━━━━━
AI
➲ Compute and Infrastructure
Render (RENDER)
Akash (AKT)
io net (IO)
Aethir (ATH)
➲ Networks and Protocols
Bittensor (TAO)
Artificial Superintelligence Alliance (FET)
Near (NEAR)
➲ Agents and Platforms
Virtuals Protocol (VIRTUAL)
ai16z / ElizaOS (AI16Z)
Venice Protocol (VVV)
➲ Data and Models
The Graph (GRT)
Grass (GRASS)
Vana (VANA)
Heads up: AI is the most narrative-driven category here. Some tokens have thin links between the actual product and the token itself, so treat the agent and meme names as high risk.
━━━━━━━━━━━━━━━
RWA (Real World Assets)
➲ Tokenized Treasuries and Yield
Ondo (ONDO)
OpenEden
Superstate
Franklin Templeton (BENJI)
➲ Private Credit and Lending
Maple (MPL)
Centrifuge (CFG)
Goldfinch (GFI)
➲ Tokenization Infrastructure
Chainlink (LINK)
Polymesh (POLYX)
Mantra (OM)
Plume (PLUME)
➲ Commodities and Precious Metals
Pax Gold (PAXG)
Tether Gold (XAUt)
➲ Real Estate
Propy (PRO)
Propbase (PROPS)
━━━━━━━━━━━━━━━
DEFI
➲ DEXes and AMMs
Uniswap (UNI)
Curve (CRV)
PancakeSwap (CAKE)
Raydium (RAY)
Aerodrome (AERO)
Jupiter (JUP)
➲ Lending and Borrowing
Aave (AAVE)
Sky / Maker (SKY, MKR)
Compound (COMP)
Morpho (MORPHO)
Kamino (KMNO)
➲ Derivatives and Perps
Hyperliquid (HYPE)
dYdX (DYDX)
GMX (GMX)
Synthetix (SNX)
➲ Liquid Staking and Restaking
Lido (LDO)
Rocket Pool (RPL)
Jito (JTO)
EigenLayer (EIGEN)
ether fi (ETHFI)
➲ Yield and Structured Products
Pendle (PENDLE)
Ethena (ENA)
Convex (CVX)
Yearn (YFI)
➲ Stablecoin Issuers (DeFi-native)
Sky / Maker (DAI, USDS)
Ethena (USDe)
Liquity (LUSD)
Curve (crvUSD)
DLT-Systems retweeted
People ask what $QUBIC is really for.
The short answer is a project called #Aigarth .
The mining, the network, the compute — all of it exists to grow one thing: "an open AI that belongs to everyone".
Here’s what that means:
1. The Name
Aigarth = "AI" + "garth".
"Garth" is an old word for garden.
"You do not build a garden, you grow it."
That is the whole idea.
2. How It Grows
People contribute spare computing power to search for solutions to AI problems.
An evolutionary algorithm keeps the solutions that work and drops the ones that do not.
Better networks survive, generation after generation.
3. Open By Design.
Because the whole process is transparent, anyone can pick up where someone else left off, continue their work, or branch in a new direction.
Progress is shared, not locked inside one company.
4. Why $QUBIC Mining Is Different?
On most networks, mining secures a ledger and produces nothing else.
On Qubic, the same work grows Aigarth.
The energy goes somewhere useful.
That is what useful proof of work actually means.
Learn what Aigarth is: The AI Garden on $Qubic Network
#Qubic #Aigarth #TrueAI #OpenScience #NoGPUs #UsefulPoW – at Odo Ona, Nigeria
Wow
Impressive progress from the Qubic team. Finding ways to accelerate AI training without increasing mining power shows that innovation matters as much as raw hardware. If the new algorithm delivers, it could make decentralized AI more efficient, scalable, and accessible#Qubic #AI
Fuego incendiario
There are two types of people in crypto.
1- Pioneers;
These know the ultimate goal which is P2P private transactions without third-party or surveillance state. $XMR and its people belong here - XMR is people.
2- Traitors/allies of surveillance state
These people are Bitcoin Maxis and other so called privacy coin maxis especially trans, paid zcash fags. The problem with these people is they don’t know what they are talking about and don’t care about the crucial fact that cryptic/crypto is something private or should be private like what Bitcoin was supposed to be. These are the same people who celebrated ETF’s - corporations endorsing BTC , killing its cryptic value and now what they have a centralized asset. Most maxis are denying this but it is real.
We are going to see massive changes in crypto since now we have agentic operations and we need privacy more than before. Surveillance state telling you Bitcoin and trans zcash is decentralized while invading your privacy, regulations, KYC and many more.
People who have 1-2 higher IQ than a fucking monkey should realize that we got invaded, now it’s time to fight back.
Monero is people. Fuck the surveillance state. Fuck the hijacked Bitcoin.
Wake up.
Así está el patio.. #invasion
Vamos #mundialdefútbol2026 España campeona a por 2 **
DLT-Systems retweeted
La faille Zcash fait paniquer, mais serait-elle possible sur Monero ?
Le risque zéro n'existe pas, mais $XMR a un énorme avantage : sa supply globale est mathématiquement vérifiable à chaque bloc grâce aux engagements de Pedersen.
Si un bug permettait de créer du faux XMR, le réseau le détecterait IMMÉDIATEMENT. Sur Zcash, l'inflation peut rester cachée dans le noir total. Sécurité par la transparence de la supply.
Wow evolution
THORChain just shipped 100+ improvements in one release ⚡️
v3.17.0 upgrades security, swaps, cross-chain reliability, governance, and dev tooling in one shot
Read the full breakdown and see why @THORChain keeps pulling ahead 👇
blog.thorchain.org/protocol-…
DLT-Systems retweeted
“Privacy coins are back… and this time, they’re plugging into liquidity.” 🔥
The next chapter of THORChain is not just evolution — it’s rejuvenation of RUNE through one of the most controversial, yet inevitable narratives in crypto: true financial privacy.
⚙️ Permissionless by Design — Not by Marketing
THORChain was built to be:
Permissionless → No KYC, no gatekeepers
Decentralized → Node operators, not corporations, make decisions
Autonomous liquidity → Users control flows, not protocols
This means one thing:
👉 It cannot selectively decide who gets access.
And that’s where the debate begins…
🕶️ Privacy Coins Enter the Arena
With potential integrations of:
Monero (XMR)
Zcash (ZEC)
Dash (DASH)
THORChain moves closer to becoming:
The most censorship-resistant liquidity layer in crypto.
📊 Stat to consider:
Privacy coins still represent a tiny fraction (<5%) of total crypto market cap, yet they drive outsized controversy and demand.
⚡ Why This Changes Everything for RUNE
Every new chain integrated into THORChain:
Expands swap volume
Increases liquidity demand
Strengthens RUNE’s role as the settlement asset
💡 More chains = more swaps
💡 More swaps = more fees
💡 More fees = stronger RUNE value capture
This is not speculation — it’s protocol math.
🔥 The Controversial Truth
Critics argue:
“Privacy coins = illicit flows”
But here’s the uncomfortable reality:
Cash is private → yet still widely used
Banks process illicit funds → yet remain trusted
Blockchain is transparent → yet privacy is demanded
👉 So the real question is not if privacy should exist…
👉 but whether DeFi should support it neutrally.
THORChain’s answer appears clear:
Neutrality over narrative.
🧠 The Bigger Picture
This is not just about adding coins.
It’s about positioning THORChain as:
The liquidity hub of all chains
A base layer for uncensorable finance
A system where code > opinion
🚀 RUNE Rejuvenation Era
Call it what it is:
RUNE is entering its second life cycle.
From:
“Cross-chain experiment”
To:
Privacy-enabled global liquidity engine
And whether people like it or not…
👉 Liquidity flows where it is treated best.
Final thought:
The integration of privacy coins will not just test THORChain’s tech…
It will test the industry’s principles. ⚖️
DLT-Systems retweeted
Litecoin's post-mortem reveals April was the second attack. The first happened in March and stayed private for a month.
The bug: an attacker could peg out 85,000 LTC from MWEB while only "spending" an MWEB input worth 1.2 LTC. The size check existed in mempool and normal block-building paths but was skipped during block connection - so a miner including the malformed data in their own block could bypass it. Free 85K LTC inflated onto the transparent chain.
That's what happened on March 19 at block 3,073,882. Devs found it internally during code review, recovered the funds through negotiation. The actor returned everything for an 850 LTC bounty (~$170K). Charlie Lee personally bought 850 LTC to refill MWEB balance. Story stayed private.
April was attempt #2 at the same path. The March patch blocked the original exploit but had a side effect: mutated MWEB block data caused upgraded mining nodes to stall. Unupgraded miners extended the invalid chain. 13-block reorg.
Cross-chain damage during the April window:
- NEAR Intents: 11,000 LTC swapped for 7.78 BTC (~$1M+ market maker/solver loss)
- THORChain: 10 LTC swapped for 0.0072 BTC
The Litecoin team used AI-assisted code review to find additional bugs before public release. Defenders adopting the same tools attackers use is the asymmetric response.
April's earlier "51% attack" framing was wrong. It was a consensus failure: emergency patch broke mining RPC under mutated blocks, unupgraded miners extended an invalid chain.
Open question: how many other "public" incidents had hidden first acts? Private negotiation + late disclosure is becoming the new pattern. Efficient for recovery. Less great for the people building on top.
DLT-Systems retweeted
🚨 BREAKING: A new role is quietly emerging and it’s about to dominate the next 5 years.
It’s not “AI engineer.”
It’s not “prompt engineer.”
It’s the Agent Operator.
And it will sit inside almost every organization.
Most people are still thinking about AI as a tool.
That framing is already outdated.
What’s actually happening is a shift from:
humans using software to humans managing autonomous agents that execute work
This is a fundamental redesign of how work gets done.
So what is an Agent Operator?
An Agent Operator is the person who:
• Designs how agents interact with real workflows
• Connects tools, data, and systems into agent pipelines
• Translates business problems into executable agent behavior
• Monitors, corrects, and improves agent performance over time
They don’t just “use AI.”
They orchestrate outcomes.
and this matter because
Every function marketing, legal, finance, biotech is becoming “agent-compatible.”
Not because companies want it.
Because they won’t have a choice.
Agents can:
• Run research loops
• Execute multi-step workflows
• Integrate across tools without APIs breaking the flow
• Operate 24/7 at near-zero marginal cost
The bottleneck is no longer capability.
It’s implementation inside real-world systems.
Required skills for AI Agent Operator role:
→ MCPs (Model Context Protocols)
Understanding how agents access tools, memory, and structured context.
→ CLIs (Command Line Interfaces)
Because serious agent workflows won’t live in GUIs—they’ll run in programmable environments.
→ Writing skills (the file kind)
Clear specs, instructions, and structured documents.
Agents run on precision, not vibes.
→ agents dot md fluency
The ability to define agent roles, constraints, memory, and tool usage in persistent formats.
→ Business acumen
Knowing what actually matters:
Where automation creates leverage, not noise.
What happens next
Enterprises will begin to redesign workflows:
Not around employees using dashboards…
But around agents executing tasks.
That means:
• SOPs → Agent playbooks
• Teams → Human + agent hybrids
• Tools → Composable agent systems
When that shift happens, companies won’t just need engineers.
They’ll need operators who understand both the system and the business.
The leverage is asymmetric
One strong Agent Operator can:
• Replace fragmented SaaS workflows
• Multiply team output without adding headcount
• Turn ideas into execution systems in days
This is not incremental productivity.
It’s operational transformation.
#cryptocurrency power
Replying to @thinkwhysly @THORChain
No, the LTC double-spend had zero impact on THORChain.
THORChain’s Bifrost protocol is built for this:
•Sufficient confirmation counting before crediting funds
•Auto-observe + LackSigning to suppress duplicates and reschedule vaults
•Active double spend suppression at the observation layer
A ~$500 attempt is exactly the noise these safeguards are designed to ignore. THORChain has safely handled native LTC swaps for years by engineering against UTXO realities instead of blindly trusting the source chain.
Liquidity, yields, and swaps remain unaffected.
DLT-Systems retweeted
For those fudding in the back:
Miners not updated to MWEB mistakenly approved fake MWEB transaction.
This was a defensive 13-block reorg done by mining pools to reverse those invalid transactions. Not an attack.
Litecoin remains the blockchain with the longest 100% uptime.
Litecoin update:
• A zero-day bug caused a DoS attack that disrupted major mining pools.
• Non-updated mining nodes allowed an invalid MWEB transaction allowing them to peg out coins to third party DEX’s
• A 13-block reorg reversed those invalid transactions — they will not be included in the main chain
• All valid transactions during that period remain unaffected
• The bug is now fully patched, and the network continues to operate normally





























