Conozca los Sistemas de Registro Descentralizados (DLT) que aumentan su competitividad. 🇵🇹🇵🇹

Lisbon, Portugal
Joined May 2016
DLT-Systems retweeted
not use public networks, ever, even if there's no public threat. Some free internet is not worth it, unless absolutely necessary. Always use critical services on a private network only)
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DLT-Systems retweeted
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?
OpenAI says "AGI is here." GPT-6 Astra: 100,000+ GPUs and 62.7% on ARC-AGI-3. The detail nobody is talking about: the AGI clause OpenAI and Microsoft quietly removed just weeks before the launch. What the word actually means now 👇
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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
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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.
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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. ⚖️
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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.
Postmortem is out regarding the April 25th Litecoin MWEB incident. Please use the link in the reply to access the report. 👇
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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.
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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
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DLT-Systems retweeted
Una gran barrera que tenía $HYPE para crecer era el riesgo regulatorio pero con esta última noticia que acaba de salir todo cambia. Resulta que el S&P Dow Jones se ha asociado con @tradexyz (frontend principal de @HyperliquidX de mercados HIP-3) para lanzar el primer mercado oficial del S&P 500 en su plataforma. Gracias a esto, ahora se puede tradear el índice más importante del mundo las 24 horas del día, los 365 días del año, con el respaldo de datos oficiales que garantizan una alta liquidez y la confianza institucional a gran escala. Y todo construido sobre Hyperliquid.
$HYPE subiendo más que la mayoría del mercado No importa cuando leas esto
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Google lanza MedGemma 1.5 (4B), un LLM open para interpretar imágenes médicas CT, MRI e histopatología, además de RX, dermatologí, fondo de ojo…) con burnos resultados. Y lo acompaña además con MedASR, un modelo abierto de speech-to-text clínico (dictado médico).+
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The reason nobody is sure why BTC is pulling back is because everyone is looking for a single cause when this is actually a systems failure with multiple transmission mechanisms reinforcing each other. Here's what actually happened mechanistically: Bitcoin ran from $40,000 to $126,000 in less than a year on a very specific narrative: Federal Reserve easing cycle plus institutional adoption through ETFs equals sustained bull market. The market built up $94 billion in futures open interest, with some platforms offering leverage ratios as high as 1,001 to 1. That setup alone created extraordinary fragility. The trigger was simple but devastating. Fed officials reversed dovish expectations completely. The market went from pricing a 90 percent probability of December rate cuts to just 40 percent. Real yields on short term Treasuries stayed elevated above 5 percent. The entire macro story that justified Bitcoin at $126,000 collapsed in a matter of weeks. Now here's where the structural vulnerability shows up. The new ETF infrastructure that everyone celebrated as bringing institutional money actually created institutional scale sell liquidity that never existed before. When the macro narrative broke, institutions could exit with one click. We saw $1.1 billion in ETF outflows in just days. This isn't retail panic selling. This is professional portfolio managers rebalancing away from an asset whose fundamental thesis just evaporated. Simultaneously, long term holders who bought Bitcoin between $40,000 and $80,000 started distributing. They offloaded 815,000 Bitcoin in 30 days. These holders aren't selling because they think Bitcoin is worthless. They're selling because they see volatility ahead and they're sitting on 50 to 150 percent profits. Smart money doesn't ride drawdowns when they can step aside and rebuy lower with the same capital. Here's where it becomes a cascade. When price broke the $100,000 support level, technical stops triggered across the entire derivatives complex. Over $20 billion in leveraged positions got liquidated throughout October and November. Some single day events saw $3.2 billion wiped out. The liquidations themselves created additional selling pressure, which triggered more stops, which forced more liquidations. Open interest collapsed from $94 billion to $68 billion, but there's probably still more leverage that needs to clear. The critical insight everyone is missing: there are no natural buyers at these price levels. Institutions are rebalancing away from risk assets. Long term holders are waiting for lower prices to rebuy. Retail got scared off by the violence of the move. And new buyers won't step in until the leverage gets fully flushed and price stabilizes. So the market has to fall far enough to accomplish three things. Clear the remaining leverage completely. Reach prices where long term holders stop distributing and start accumulating again. Find the level where actual value buyers with real capital see opportunity worth the volatility risk. The $600 billion wipeout you're seeing is mostly the evaporation of unrealized gains that were paper wealth to begin with. When Bitcoin went from $40,000 to $126,000, that represented about $1.7 trillion added to market cap. A lot of that was pure multiple expansion based on a macro narrative that turned out to be wrong. Now the market is repricing based on reality: high real yields, no Fed easing, strong dollar environment. This isn't mysterious. It's textbook deleveraging dynamics in an asset with no cash flows to anchor valuation, extreme leverage ratios, and a macro thesis that broke. A 25 percent correction after a 215 percent rally with 1,000x leverage in the system is actually normal market behavior when the fundamental story changes. The violence of the move reflects the amount of leverage that was built up, not any change in Bitcoin's long term prospects. The real question isn't why did this happen. The real question is what price level actually clears the market and brings in genuine buyers rather than leveraged speculators. That's still being discovered.
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Hoy es un buen día para recordar este vídeo.
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Replying to @CaffeinatedUser
A live 51% attack on a top privacy coin is not just “history” .. it is a warning shot to the entire crypto industry. When one entity controls consensus, the network stops being decentralized. Every transaction, every block, every miner outside that pool is at the mercy of a single hand. Monero just became the first major case study in why “trustless” only works until someone has enough hash to rewrite history. The next question is not “can they do it?” but “who’s next?” #Monero #Qubic #Crypto
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Con todo lo que pasó con op return quedó en evidencia que en Bitcoin existen dos niveles de reglas: - Reglas de consenso → son las que se usan para evaluar si un bloque es válido o no. - Políticas → son reglas locales definidas por el software (como Bitcoin Core) para decidir qué transacciones aceptar o no. No afectan la validez de un bloque, pero sí cómo se propaga una transacción en la red.
 Otro ejemplo para ver ésta diferencia es el dust limit. 
Bitcoin Core define que un output se considera "dust" si cuesta más en fees moverlo que lo que vale. Ejemplo, para transacciones P2PKH, un output menor de 546 sats se considera “dust” y la transacción se rechaza. testmempoolaccept -> "allowed": false, "reject-reason": "dust”.

Source code: github.com/bitcoin/bitcoin/b…

Los Ordinals, suelen moverse usando outputs de 546 sats para que sean aceptados en la mempool.
Un ejemplo es este ordinal: ordinals.com/inscription/d43… 
que está en el output de ésta transaccion (546 sats)
mempool.space/tx/d432b04d383… 
Pero eso no es consenso.
 Un minero puede incluir transacciones con outputs de 1 sats, saltearse las políticas de la mempool y que aún así la transacción sea incluida en un bloque. Ejemplo:
mempool.space/tx/9c5342c9bc0… 
Esa transacción sigue las reglas de consenso pero no las políticas de core.
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🧠 Self-custody isn’t hard. It’s just not taught. Learn how to make a smooth transition from CEX to DEX. 👉Blog post here: mayaprotocol.com/blog-maya-a…
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DLT-Systems retweeted
NEW: @EricBalchunas and I took a look at the filings for spot crypto ETFs. We're putting out relatively high odds of approval across the board. Mainly focused on Litecoin, Solana, XRP, and Dogecoin for now. Here's the table with the odds and some other details:
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DLT-Systems retweeted
This is so accurate 😭
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Interesting perspective from @CryptoRank_io
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DLT-Systems retweeted
I don't think people understand how big of a ruling this is. The court is saying that immutable smart contracts are not subject to sanctions since they're not owned by anyone. The US legal system is finally acknowledging that decentralized protocols are a new type of infrastructure in the world. Massive W
Privacy wins. Today the Fifth Circuit held that @USTreasury’s sanctions against Tornado Cash smart contracts are unlawful. This is a historic win for crypto and all who cares about defending liberty. @coinbase is proud to have helped lead this important challenge. 1/6
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