A Year After Sam Bankman-Fried's Downfall, Solana and Other FTX Holdings Are Flying High

CoinDeskPolicy2023-11-01 tarihinde yayınlandı2023-11-02 tarihinde güncellendi

Özet

The value of FTX's stake in Solana's SOL token, for instance, has just added $1 billion in two weeks.

A year ago Thursday, the first domino fell that led to the collapse of Sam Bankman-Fried's crypto empire.

On Nov. 2, 2022, CoinDesk published a now-award-winning scoop that revealed Bankman-Fried's trading firm Alameda Research was mysteriously brimming with FTT tokens issued by his FTX exchange. It was the first sign that Alameda and FTX were more closely intertwined than Bankman-Fried had let on and that he was in a financially precarious position, but that wasn't the half of it. As was learned later, Alameda and Bankman-Fried allegedly – and, according to prosecutors, improperly – took FTX customers' money for their own use.

8.4K

FTX and Alameda filed for bankruptcy nine days later, Bankman-Fried was arrested soon after and his criminal fraud and conspiracy trial is now close to its conclusion.

A D V E R T I S E M E N T
A D V E R T I S E M E N T

But what about FTX the company? It's still in bankruptcy court. Matrixport, a crypto financial services company, estimated in September that the company's reorganization would on average return 37 cents on the dollar to creditors – which seems surprisingly high, given how dire things looked a year ago when the company was in freefall, customers were scrambling to get their money and the company infamously got hacked hours after its Chapter 11 filing.

And that recovery estimate could even be conservative. For instance, the value of the bankruptcy estate grew by around $1 billion over the past two weeks thanks to a massive rally in the price of the Solana blockchain's native token SOL, a cryptocurrency and project championed by Bankman-Fried.

A D V E R T I S E M E N T
A D V E R T I S E M E N T

FTX holds some 55.8 million SOL tokens, the majority of which (42.2 million) are locked up and not immediately tradable on the market, according to CoinGecko. Last month, reports emerged about FTX's holdings in the form of an official debtor venture portfolio, which pegged the SOL holdings at a market value of $1.16 billion. But since then, SOL has risen from around $20 per token to around $40 now.

'Amazing to think about SOL'

"It's amazing to think about SOL here," said Thomas Braziel, CEO of 117 Partners, which advises investors on buying distressed assets.

There are $10 billion of customer claims against the company, said Braziel, who expects them to recover at least 80% of their money – in other words, they'd lose out on $2 billion or so. But if SOL's price gets to $50 to $60, that "leads to 100%+ certainty for creditors," he said.

And the secondary effects are "huge," Braziel added. "Creditors like the Voyager estate, for instance, would start to be in the money."

A D V E R T I S E M E N T
A D V E R T I S E M E N T

That said, FTX's SOL holdings only start to unlock next year, and the majority of the tokens are frozen until 2027 or 2028.

"This is great, but it's not entirely straightforward because a lot of the solana is locked," Braziel said. "Some of it is being moved around, being staked and perhaps there are plans to explore selling some of it. Just like with Anthropic, it's fantastic news, but the estate has to get liquid on this stuff."

The Anthropic that Braziel mentioned is an artificial intelligence startup that Bankman-Fried bankrolled. Anthropic has recently enjoyed a wave of funding from the likes of Amazon and Google that has boosted its valuation and, presumably, the value of FTX's stake.

There have also been discussions about reopening the FTX exchange to squeeze out more money for creditors.

A D V E R T I S E M E N T
A D V E R T I S E M E N T

Against all odds and despite the allegations of misdeeds, FTX's fortunes have turned around massively even as Bankman-Fried's personal situation has worsened: Jurors could start deliberating his fate as soon as Thursday, the anniversary of the CoinDesk story that undid him.

Edited by Marc Hochstein.

İlgili Okumalar

South Korean Institutions' Crypto Race: Dual Explosion of Stablecoins and RWA

**Summary: South Korea's Institutional Crypto Race: Stablecoins and RWA Take Off** South Korea is undergoing a structural shift in its crypto ecosystem, moving beyond its historical role as a major retail trading hub. Major financial institutions and internet platforms are now building institutional-grade blockchain infrastructure, with stablecoins and Real-World Asset (RWA) tokenization as the primary drivers. The push for a regulated Korean won stablecoin market is a major policy and corporate focus. This is driven partly by an estimated $115 billion outflow into dollar stablecoins like USDC, threatening the domestic financial system. Banks (e.g., KB Financial, Hana), payment giants (e.g., Shinhan Card, BC Card), and internet super-apps (KakaoPay, NAVER Pay) are all conducting pilots. The goal is to anchor future digital finance to the Korean won and local regulations. In RWA, South Korea is advancing rapidly within regulatory sandboxes, focusing on unique domestic assets beyond typical global templates like US Treasuries. Projects involve tokenizing ships (with Hyundai Heavy Industries), defense supply chain assets, and K-pop intellectual property, alongside more conventional assets. A legal framework is set for 2027, and platforms like NXT are preparing for regulated trading. Key opportunities for crypto-native projects lie in providing the underlying technology these traditional institutions lack: global distribution channels for tokenized assets, cross-chain liquidity solutions, and enabling infrastructure tools (e.g., for asset packaging and management). Partnerships, such as Solana with Shinhan Card or LayerZero with the Korea Gold Exchange, exemplify this proactive approach. Crucially, user access is being shaped by consumer platforms. NAVER's planned acquisition of Upbit's operator Dunamu and Kakao's development of a unified wallet aim to seamlessly integrate crypto with everyday payments for tens of millions of users. The race is now about which protocols and projects will become the foundational standards as regulation solidifies and institutional adoption accelerates.

Foresight News35 dk önce

South Korean Institutions' Crypto Race: Dual Explosion of Stablecoins and RWA

Foresight News35 dk önce

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.

marsbit1 saat önce

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

marsbit1 saat önce

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.

marsbit1 saat önce

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

marsbit1 saat önce

İşlemler

Spot
活动图片