FTX Founder Sam Bankman‑Fried Pushes For New Trial In New York

bitcoinistPubblicato 2026-02-10Pubblicato ultima volta 2026-02-10

Introduzione

Sam Bankman-Fried, the founder of the collapsed cryptocurrency exchange FTX, has filed a pro se motion in a New York federal court requesting a new trial. He argues that new witness testimony could undermine the prosecution's case and challenge key aspects of the narrative that led to his conviction. Bankman-Fried, who is currently serving a 25-year prison sentence for fraud and other charges, continues to dispute the legitimacy of FTX's bankruptcy. He claims the company was not insolvent and alleges that lawyers initiated bankruptcy proceedings for their own financial benefit without his authorization. This motion is a separate attempt to reopen the case alongside his ongoing appeal.

Sam Bankman‐Fried, the co-founder and former chief executive of collapsed cryptocurrency exchange FTX, has filed a request for a new trial in New York on Tuesday, arguing that fresh witness testimony could undermine the government’s case against him.

Bid To Revive FTX Trial

As reported by Bloomberg, the motion, dated February 5 and entered into the docket on Tuesday in Manhattan federal court, was submitted pro se, meaning Bankman‐Fried is acting on his own behalf rather than through legal counsel.

In the filing, Bankman‐Fried contends that testimony from new witnesses could challenge key aspects of the prosecution’s narrative and potentially cast doubt on the verdict. He argues that this evidence was not previously presented and could materially affect the outcome of the case.

The motion does not replace his ongoing appeal but represents an additional attempt to reopen the proceedings. The request follows comments Bankman‐Fried made earlier on Tuesday on social media in which he again disputed the legitimacy of FTX’s bankruptcy.

Bankman‐Fried Denies Insolvency Issues

From prison, he has increasingly advanced the argument that the company’s collapse was driven by legal and financial maneuvering rather than criminal wrongdoing.

He claimed that FTX was not insolvent and said he never authorized a bankruptcy filing, alleging instead that lawyers assumed control of the company and quickly initiated bankruptcy proceedings for their own financial benefit.

Bankman‐Fried was convicted on all seven counts he faced, including fraud, conspiracy, and money laundering, in the case United States v. Bankman‐Fried.

On March 28, 2024, the court sentenced him to 25 years in federal prison and ordered him to forfeit approximately $11 billion, reflecting the scale of losses tied to the collapse of FTX.

The 1-D chart shows the exchange’s native token, FTT, trending upwards on Tuesday. Source: FTTUSDT on TradingView.com

Featured image from OpenArt, chart from TradingView.com

Domande pertinenti

QWhat is Sam Bankman-Fried requesting in the New York court, and on what grounds?

ASam Bankman-Fried is requesting a new trial, arguing that fresh witness testimony could undermine the government's case against him and challenge key aspects of the prosecution's narrative.

QHow was the motion for a new trial filed, and what does this indicate about Bankman-Fried's legal representation?

AThe motion was filed pro se, meaning Bankman-Fried submitted it on his own behalf without the use of his legal counsel.

QWhat argument has Bankman-Fried been making from prison regarding the collapse of FTX?

AHe has argued that FTX's collapse was driven by legal and financial maneuvering rather than criminal wrongdoing, claiming the company was not insolvent and that lawyers initiated bankruptcy for their own financial benefit.

QWhat was the final outcome of the United States v. Bankman-Fried case?

AHe was convicted on all seven counts, including fraud and money laundering, and was sentenced to 25 years in federal prison and ordered to forfeit approximately $11 billion.

QWhat does the article mention about the FTX token (FT) on the day the motion was filed?

AThe article includes a chart showing the FTX token, FTT, trending upwards on that Tuesday.

Letture associate

NVIDIA CPU Advances, China's RISC-V Responds: Semiconductor Deep Dive - Part Four

NVIDIA is set to launch its new Vera AI data center CPU in China as early as August, with high pricing. While this move offers a new option, it highlights China's continued dependence on foreign-controlled Arm architecture. In response, the Chinese semiconductor industry is increasingly turning to RISC-V as a strategic alternative for achieving high-performance computing autonomy. The article explores the concept of the "impossible triangle" in CPU development—balancing prosperity, control, and autonomy—and posits that RISC-V's open-source, modular nature offers a unique path to achieving all three. While RISC-V is already dominant in embedded systems, the focus is now shifting to data centers and AI workloads. China has become a global hotspot for RISC-V development, driven by AI-driven compute demand, supply chain concerns from export controls, cost benefits of open-source, and strong policy support. Multiple Chinese companies have reportedly crossed the key performance threshold of 15 SPECint per GHz, a benchmark for entering the high-performance CPU club. Progress extends beyond single-core benchmarks. Companies are developing complete computing subsystems, including commercial-grade coherent network-on-chip (NoC) technology and server processors with up to 40 cores that strictly adhere to the RVA23 standard to ensure software compatibility. Real-world applications are emerging in areas like video transcoding and edge AI. However, significant challenges remain. The RISC-V ecosystem faces fragmentation, immature toolchains and verification processes, and gaps in single-core performance and energy efficiency compared to mature x86 and Arm architectures. The formidable software moat, epitomized by NVIDIA's CUDA, is a long-term hurdle. In conclusion, while RISC-V cannot immediately replace offerings like NVIDIA's Vera, it represents a viable long-term path for China to develop a self-sufficient, high-performance CPU ecosystem. The journey is acknowledged to be long and arduous, requiring sustained effort to overcome technical and ecosystem challenges.

marsbit5 h fa

NVIDIA CPU Advances, China's RISC-V Responds: Semiconductor Deep Dive - Part Four

marsbit5 h fa

My Coding Betting Dashboard is Profiting, but Polymarket is Truly Not a Good Place for 'Arbitrage'

The author built a custom monitoring dashboard for Polymarket, a prediction market platform, and tested it with $1,600, achieving over 30% returns. However, the core argument is that Polymarket is not a good venue for traditional arbitrage. The dashboard has two main sections: a "Portfolio Dashboard" for tracking active positions with key metrics like total capital, P&L, and a risk-control module using a tier system (T1, T2, T3), and an "Opportunity Watchlist" for monitoring markets. The article details a critical structural trap in binary markets: a bet with a high perceived probability of success still carries a 100% loss risk if wrong. The author's T1/T2/T3 system is designed to manage this by limiting position sizes based on conviction and time horizon, emphasizing that high confidence should not equal high concentration. A key insight is the danger of "pseudo-diversification"—betting on different markets driven by the same underlying variable. The author concludes that Polymarket offers few true low-risk, arbitrage opportunities. It is instead a high-risk environment where wins can create a false sense of mastery, leading to large losses. The platform is better viewed as a training ground for honing judgment through disciplined, framework-driven betting rather than a reliable income source. The tools help transform intuition into structured, rule-based decisions to mitigate the risk of catastrophic errors.

marsbit8 h fa

My Coding Betting Dashboard is Profiting, but Polymarket is Truly Not a Good Place for 'Arbitrage'

marsbit8 h fa

WeChat AI Card Hands-On Guide: Has the AI Shopping Era Arrived?

**"WeChat AI Card" Practical Test Guide: Has the Era of AI Shopping Arrived?** WeChat has officially launched the "AI Exclusive Card," a feature integrated into its Workbuddy AI assistant. This card is designed to handle payments for AI-initiated purchases. Our hands-on test reveals it's not yet a tool for fully autonomous AI shopping, but rather a controlled payment layer for AI agents. The AI Card functions as an isolated sub-wallet within WeChat Pay. Users must bind the card and transfer funds into it from their main wallet. Crucially, every transaction requires explicit user confirmation via smartphone scan; AI cannot spend autonomously. Currently accessible through the Workbuddy agent, the card targets specific digital consumption scenarios: purchasing paid content (reports, data), calling paid APIs/tools, and subscribing to services. Its design prioritizes security and control by separating funds and mandating approval for each payment. We tested a real-world scenario: ordering bubble tea via Workbuddy using a "Meituan Life Assistant" skill. The process encountered multiple hurdles: high "skill" usage costs (exceeding daily free credits), and most importantly, while a payment was successfully initiated, the AI purchased an incorrect product (a mismatched group-buy coupon instead of the desired drink). This highlights the current limitation: the **AI Card only solves the payment step**. The broader challenge lies in the **AI agent's execution chain**—accurately understanding intent, navigating third-party platforms, selecting the right product, and ensuring proper fulfillment. The payment succeeded, but the purchase failed to meet the user's need. In conclusion, the WeChat AI Exclusive Card is a cautious, early-step experiment in AI commerce. It provides a secure, user-controlled payment method for agent interactions but is not yet capable of reliable, end-to-end complex purchases. For now, it's best used for low-value, low-risk digital services with careful user verification at each step. The vision of AI handling complete shopping tasks remains a work in progress.

marsbit10 h fa

WeChat AI Card Hands-On Guide: Has the AI Shopping Era Arrived?

marsbit10 h fa

Trading

Spot
Futures
活动图片