Le cofondateur de Terraform Labs, Do Kwon, condamné à 15 ans de prison

bitcoinistPubblicato 2025-12-12Pubblicato ultima volta 2025-12-12

Introduzione

Le co-fondateur de Terraform Labs, Do Kwon, a été condamné à 15 ans de prison ce jeudi par le juge américain Paul A. Engelmayer. La sentence fait suite à l'effondrement en 2022 des cryptomonnaies TerraUSD et Luna, qui ont effacé environ 40 milliards de dollars du marché et affecté des centaines de milliers d'investisseurs. Le juge a qualifié la fraude de "particulièrement grave", soulignant que Kwon a "menti publiquement au marché pendant quatre ans" en présentant frauduleusement le TerraUSD comme une stablecoin fiable. Une peine plus clémente a été jugée inacceptable pour servir de dissuasion. Déjà en détention depuis 17 mois, Kwon, inculpé en janvier pour fraude financière et blanchiment d'argent, pourrait purger sa peine à Fort Dix ou partiellement en Corée du Sud, où il fait face à d'autres poursuites.

La saga judiciaire entourant Do Kwon, cofondateur de Terraform Labs, a abouti à une décision significative, le magnat de la cryptomonnaie étant condamné à 15 ans de prison ce jeudi.

Cette décision suit une période tumultueuse marquée par l'effondrement de deux monnaies numériques créées par l'entreprise, qui ont collectivement effacé environ 40 milliards de dollars du marché en 2022, entraînant des répercussions généralisées dans l'ensemble de l'industrie des cryptomonnaies.

La peine de 15 ans de Do Kwon

Lors de l'audience de détermination de la peine, le juge du tribunal de district américain Paul A. Engelmayer a souligné la gravité des actions de Do Kwon, déclarant : « Votre fraude était exceptionnellement grave. Pendant quatre ans, vous avez publiquement menti au marché. »

Le juge a souligné que Kwon avait présenté à tort TerraUSD comme une stablecoin soutenue par un système conçu pour maintenir sa parité avec le dollar, affirmant que les déclarations de Kwon se sont finalement révélées frauduleuses lorsque la parité a vacillé.

Le juge Engelmayer a déclaré que les actions de Do Kwon avaient eu des effets dévastateurs, contribuant à l'effondrement des investissements de « centaines de milliers d'investisseurs ». Il a noté qu'une peine plus légère serait inacceptable, déclarant :

« Cinq ans seraient si peu plausibles qu'ils nécessiteraient une annulation en appel. D'autres doivent être dissuadés. Les gens regardent cela [en direct]. Il y aura de futurs entrepreneurs. Cette affaire servira de rappel sur les conséquences de mal agir. »

Sur ce, le juge du tribunal de district américain a imposé une peine de 15 ans, en tenant compte du temps déjà purgé — 17 mois et huit jours en détention avant l'extradition.

Le juge évoque un transfert vers Fort Dix

Il est intéressant de noter que le juge et les procureurs ont suggéré que Kwon pourrait être transféré à Fort Dix, un établissement où certains détenus de haut profil sont incarcérés. Il est également possible qu'une partie de sa peine soit purgée en Corée du Sud, où il fait face à des défis juridiques supplémentaires.

En janvier, Do Kwon a été inculpé de neuf chefs d'accusation criminelle, notamment fraude en valeurs mobilières, fraude électronique, fraude sur les marchandises et conspiration en vue de blanchir de l'argent.

Le graphique quotidien montre la capitalisation totale du marché des cryptomonnaies à 3,1 billions de dollars. Source : TOTAL sur TradingView.com

Image en vedette de ABC, graphique de TradingView.com

Crypto di tendenza

Domande pertinenti

QQuelle est la peine prononcée contre Do Kwon, co-fondateur de Terraform Labs ?

ADo Kwon a été condamné à 15 ans de prison.

QQuel juge a présidé le procès et prononcé la sentence ?

ALe juge du tribunal de district américain Paul A. Engelmayer a présidé l'audience et prononcé la sentence.

QQuel était le principal chef d'accusation retenu contre Do Kwon ?

ALa fraude était le principal chef d'accusation, le juge ayant qualifié ses actions de 'fraude exceptionnellement grave' pour avoir 'menti au marché pendant quatre ans'.

QQuelles ont été les conséquences de l'effondrement des cryptomonnaies de Terraform Labs ?

AL'effondrement des deux cryptomonnaies a effacé environ 40 milliards de dollars du marché en 2022 et a eu des répercussions généralisées dans l'industrie cryptographique.

QOù Do Kwon pourrait-il purger sa peine ?

AIl a été suggéré qu'il pourrait être transféré à Fort Dix, une installation pour détenus de haut profil, ou purger une partie de sa peine en Corée du Sud où il fait face à d'autres défis juridiques.

Letture associate

How to Detect AI-Generated Videos? A Review of Dynamic, Traceable, and Explainable Detection Systems

**How to Detect AI-Generated Videos: A Survey on Dynamic, Traceable, and Explainable Detection Systems** With rapid advances in AI video generation (e.g., Sora, Veo), creating highly realistic, multi-minute videos is now possible, widening the gap with detection research. Current AI video detection, often limited to unreliable binary classifications, is insufficient. This survey, accepted at ACL 2026, reframes the goal as **"factual fidelity verification"**—checking if a video's content (who, when, where, what) aligns with the real world perceptually and cognitively. It categorizes AI-generated videos into three paradigms: **Local Manipulation Videos (LMV**, e.g., face swaps), **Audio-Visual Editing (AVE**, e.g., lip-syncing), and **Generative Video Synthesis (GVS**, fully synthetic videos like Sora's). Detection challenges evolve from visual artifacts in LMV to multi-modal inconsistencies in AVE and higher-level world knowledge violations in GVS. The core proposal is a **Vision-Language Dual-View framework** with four hierarchical layers: 1. **Layer 1 (Intrinsic Visual Cues):** Analyzes low-level signal statistics, noise patterns, and physiological signals. 2. **Layer 2 (Spatiotemporal Consistency):** Checks for temporal coherence in object motion and scene dynamics. 3. **Layer 3 (Cross-Modal Consistency):** Verifies alignment between video, audio, and text within the video. 4. **Layer 4 (Language-Guided World-Level Reasoning):** Uses external knowledge, facts, and physical laws to judge semantic plausibility and factual correctness. The survey traces a shift in detection focus from lower layers (1 & 2) toward higher, language-involved layers (3 & 4). It also reviews evolving evaluation metrics and datasets tailored for each video paradigm. The conclusion advocates for a **dynamic, evidence-first detection system** that moves beyond simple classification. Future trustworthy detection requires combining visual evidence (from CV) with semantic reasoning and explanation (from NLP & multimodal AI), ultimately creating traceable and explainable judgments about a video's adherence to real-world constraints.

marsbit7 min fa

How to Detect AI-Generated Videos? A Review of Dynamic, Traceable, and Explainable Detection Systems

marsbit7 min fa

It Turns Out the First Real-World Application of AI x Crypto is in Security Auditing

The article explores the surprising trend where AI's first major impact on crypto has been in security auditing, not in areas like trading or analytics. It details how AI-powered tools are dramatically lowering the barrier to finding smart contract vulnerabilities, enabling attackers to scan thousands of contracts and execute exploits within minutes. This has rendered traditional, manually-produced audit reports with their month-long validity periods increasingly obsolete, creating a critical "structural crack" in the old security model. Cases like Drift Protocol and KelpDAO show that even extensively audited protocols can be hacked through social engineering, operational flaws, or infrastructure misconfigurations beyond pure code review. Attackers are also using AI to find and exploit vulnerabilities in years-old, deployed contracts. Notably, OpenZeppelin's co-founder has expressed a grim view that "all DeFi is insecure" due to AI's asymmetric advantage. In response, the audit industry is undergoing a fundamental shift. While there's a short-term spike in defensive re-audits, the long-term business model is changing. Firms are developing AI-assisted systems and moving from one-time report deliveries towards embedded, continuous services like real-time monitoring and formal verification. Examples include AI tools uncovering critical, previously missed vulnerabilities in heavily audited protocols like Curve Finance and Zcash. The conclusion is that security must become a continuous investment, not a one-time checkbox, and audit firms must rapidly evolve their tools and service models to survive.

marsbit14 min fa

It Turns Out the First Real-World Application of AI x Crypto is in Security Auditing

marsbit14 min fa

Never expected that the first tangible application of AI x Crypto is in security auditing

Unexpectedly, the initial major application of AI in the Crypto sphere has turned out to be security auditing. In 2026, DeFi has faced significant security challenges, with 121 hacking incidents resulting in approximately $942 million in losses. While AI was expected to first impact areas like quantitative trading, its initial breakthrough has instead transformed security auditing by drastically lowering the cost and skill barrier for finding smart contract vulnerabilities. The traditional audit model is facing obsolescence. Advanced AI models, such as Claude Mythos, enable attackers to scan thousands of contracts and identify vulnerability patterns at scale, compressing the time from discovery to execution to mere minutes. This renders the month-long validity of traditional audit reports ineffective. Notably, attacks now frequently target well-audited, established protocols by exploiting business logic flaws, operational security weaknesses, and even years-old historical contracts, demonstrating that old audit reports offer zero protection. This pressure is forcing a fundamental shift in the industry. In the short term, a wave of defensive re-auditing is occurring, driven by projects seeking to meet new AI-era security standards and regulatory requirements. In the long run, audit firms' business models are diverging. The one-time report delivery model is declining in value, as evidenced by platforms like Code4rena shutting down. Leading firms are now pivoting towards AI-powered defense, integrating continuous monitoring, real-time on-chain risk detection, and embedding security directly into the development phase, as seen with tools like OpenZeppelin's Skills system. Ultimately, the era of "audit once, secure forever" is over. Security must become a continuous, embedded infrastructure investment for projects. For audit companies, survival depends on proactively transforming from traditional service providers into platforms offering AI-native, ongoing security solutions.

链捕手22 min fa

Never expected that the first tangible application of AI x Crypto is in security auditing

链捕手22 min fa

Trading

Spot

Articoli Popolari

Come comprare SAGA

Benvenuto in HTX.com! Abbiamo reso l'acquisto di Saga (SAGA) semplice e conveniente. Segui la nostra guida passo passo per intraprendere il tuo viaggio nel mondo delle criptovalute.Step 1: Crea il tuo Account HTXUsa la tua email o numero di telefono per registrarti il tuo account gratuito su HTX. Vivi un'esperienza facile e sblocca tutte le funzionalità,Crea il mio accountStep 2: Vai in Acquista crypto e seleziona il tuo metodo di pagamentoCarta di credito/debito: utilizza la tua Visa o Mastercard per acquistare immediatamente SagaSAGA.Bilancio: Usa i fondi dal bilancio del tuo account HTX per fare trading senza problemi.Terze parti: abbiamo aggiunto metodi di pagamento molto utilizzati come Google Pay e Apple Pay per maggiore comodità.P2P: Fai trading direttamente con altri utenti HTX.Over-the-Counter (OTC): Offriamo servizi su misura e tassi di cambio competitivi per i trader.Step 3: Conserva Saga (SAGA)Dopo aver acquistato Saga (SAGA), conserva nel tuo account HTX. In alternativa, puoi inviare tramite trasferimento blockchain o scambiare per altre criptovalute.Step 4: Scambia Saga (SAGA)Scambia facilmente Saga (SAGA) nel mercato spot di HTX. Accedi al tuo account, seleziona la tua coppia di trading, esegui le tue operazioni e monitora in tempo reale. Offriamo un'esperienza user-friendly sia per chi ha appena iniziato che per i trader più esperti.

94 Totale visualizzazioniPubblicato il 2024.12.13Aggiornato il 2026.06.02

Come comprare SAGA

Discussioni

Benvenuto nella Community HTX. Qui puoi rimanere informato sugli ultimi sviluppi della piattaforma e accedere ad approfondimenti esperti sul mercato. Le opinioni degli utenti sul prezzo di SAGA SAGA sono presentate come di seguito.

活动图片