Sam Bankman-Fried Backs Off New Trial Request, Keeps Pressure On Judge Removal

bitcoinist2026-04-24 tarihinde yayınlandı2026-04-24 tarihinde güncellendi

Özet

Sam Bankman-Fried has withdrawn his request for a new trial, stating he does not expect a fair hearing from Judge Lewis Kaplan, who oversees his criminal case. He withdrew the motion without prejudice, meaning he can refile it after his appeal and a separate request to remove Kaplan from the case are resolved. Bankman-Fried is serving a 25-year sentence for fraud related to the collapse of FTX. The withdrawal followed a court-ordered inquiry into whether he had legal help drafting an earlier filing, which he denied. His efforts to replace the judge and appeal his conviction continue. Outside court, he has sought a pardon, but former President Trump has indicated he will not grant one.

Sam Bankman-Fried has told a federal court he does not expect a fair hearing from the judge overseeing his criminal case — and because of that, he is pulling his request for a new trial.

A Calculated Move In Federal Court

The former FTX chief executive filed a letter Wednesday in the US District Court for the Southern District of New York, withdrawing a Rule 33 motion he had been pursuing to overturn his conviction.

The withdrawal, he made clear, is not final. He dropped the motion without prejudice, meaning he can bring it back after his appeal and his separate request to have a different judge assigned to the case are resolved.

Bankman-Fried, 32, is currently held at the Federal Correctional Institution in Lompoc, California, where he is serving a 25-year sentence handed down after his 2023 conviction on fraud and related charges tied to the collapse of FTX.

At its peak, the crypto exchange was one of the largest in the world.

Sam Bankman-Fried's letter to Judge Kaplan released publicly Wednesday. Source: CourtListener.

His decision to pull the motion came after Judge Lewis Kaplan ordered him to explain whether lawyers had helped him draft an earlier filing — a pro se document, meaning one submitted without formal legal representation.

Federal prosecutors had raised doubts about whether Bankman-Fried had written the filing on his own, particularly after his mother, Barbara Fried, sent her own letter to the court. She had no legal standing to do so.

Questions About Who Wrote What

In his Wednesday response, Sam Bankman-Fried said he consulted with his parents while writing the letter but described himself as the “ultimate author of the documents.”

He said the need to respond to the court’s questions had taken time away from preparing a fuller response to prosecutors opposing his new trial request. That, combined with his stated belief that Judge Kaplan would not treat the matter fairly, led him to withdraw the motion.

BTCUSD currently trading at $77,600. Chart: TradingView

His bid to have Kaplan removed from the case predates Wednesday’s filing. Back in February, Bankman-Fried asked a court to assign a different judge to rule on his new trial request, accusing Kaplan of showing “extreme prejudice.”

That request remains active. So does his appeal of both his conviction and his sentence, which is pending before the US Court of Appeals for the Second Circuit.

Sam Bankman-Fried: Pardon Talk Has Done Little To Help His Cause

Outside the courtroom, Bankman-Fried has made no secret of his interest in a presidential pardon. According to reports, he has posted publicly praising US President Donald Trump’s crypto-related policies and his administration’s military moves in Iran.

But Trump has shown no sign of extending any relief. Based on reports from a January interview with The New York Times, Trump said flatly that he had no plans to pardon the convicted founder of FTX.

Featured image from Getty Images, chart from TradingView

İlgili Sorular

QWhy did Sam Bankman-Fried withdraw his request for a new trial?

AHe withdrew the request because he stated he does not expect a fair hearing from Judge Kaplan and the need to respond to the court's questions about who drafted an earlier filing took time away from preparing a fuller response.

QWhat is the status of Sam Bankman-Fried's request to have Judge Kaplan removed from his case?

AHis request to have a different judge assigned to the case remains active and is separate from his withdrawn motion for a new trial.

QWhat specific legal motion did Sam Bankman-Fried file and then withdraw?

AHe withdrew a Rule 33 motion, which is a request for a new trial based on newly discovered evidence.

QWhat was the reason federal prosecutors raised doubts about an earlier court filing from Sam Bankman-Fried?

AProsecutors raised doubts about whether he had written the pro se filing on his own, particularly after his mother, who has no legal standing, sent her own letter to the court.

QHas former President Donald Trump indicated he would pardon Sam Bankman-Fried?

ANo, based on a January interview with The New York Times, Trump said flatly that he had no plans to pardon the convicted founder of FTX.

İlgili Okumalar

Seeking Alpha's Hot Article: Why Might the U.S. Stock Market Crash in June?

In a recent Seeking Alpha article, financial professor and analyst Damir Tokic argues that the US stock market may be poised for a significant crash in June 2026. The core thesis centers on a "mega-bubble" in equities, particularly within the technology sector, which has driven the S&P 500 to near-record valuations, with a Shiller P/E ratio exceeding 40—a level comparable to the 2000 dot-com bubble. Tokic identifies two primary catalysts for a potential collapse. First, he points to unsustainable market exuberance fueled by what he terms the "Trump Stimulus"—massive AI capital expenditure by tech giants, which he believes is politically driven and cannot last. Second, and more urgently, he highlights the escalating Iran war as a critical threat. The ongoing closure of the Strait of Hormuz has created a severe global energy supply crunch. Strategic petroleum reserves are projected to hit critically low operational levels by June, potentially causing oil prices to spike above $200 per barrel and triggering a severe, supply-driven inflationary shock. This scenario, Tokic warns, would force the Federal Reserve's hand. Despite currently maintaining a dovish bias, the Fed would likely be compelled to officially pivot to a hawkish stance at its June FOMC meeting to combat soaring inflation and bond yields. He contends that such a shift—or even a failure to act, which would destroy Fed credibility—could be the trigger that punctures the market bubble. The resulting downturn, he concludes, could rival the bear markets of 2000 and 2008, advising investors to prepare for a major correction.

marsbit10 dk önce

Seeking Alpha's Hot Article: Why Might the U.S. Stock Market Crash in June?

marsbit10 dk önce

AI PC Battle: Bet on the Toll Booth, Not the Camp

**Title:** The AI PC Battle: Don't Bet on Sides, Bet on the Tollbooth **Summary:** The AI PC competition is moving beyond simple "x86 vs. Arm" narratives. The core investment thesis should focus on identifying which players can sustain margins, cash flow, and pricing power throughout the upgrade cycle, rather than backing a particular architecture. The opportunity is analyzed in three layers: 1. **The Advanced Foundry Tollbooth:** TSMC is positioned to collect "tolls" regardless of which chip designer wins, due to its dominant ~70% share in advanced semiconductor manufacturing, which is essential for high-end AI PC chips. 2. **Compute & Platform Spillover:** AMD represents an offensive in the x86 CPU+GPU space, while NVIDIA leverages its GPU and CUDA software stack dominance. Both benefit from the demand for increased local AI compute. 3. **Architecture Diffusion & Turnaround Plays:** ARM and Intel offer potential for significant upside (elasticity), but investments here require stricter discipline due to higher execution risks and competitive challenges. The industry is transitioning from concept to shipment validation. While short-term forecasts for AI PC adoption have been revised down slightly due to tariffs and procurement delays, the long-term trend towards AI becoming a standard PC feature remains intact. The key driver for upgrade cycles will be whether compelling enterprise applications (e.g., privacy-sensitive computing, low-latency inference) emerge beyond consumer-focused features like meeting summarization. Investment strategy should prioritize companies with platform-level advantages and recurring revenue streams. TSMC offers high certainty as the foundational tollbooth. AMD presents a strong offensive play within the established ecosystem. ARM and Intel are higher-risk, higher-potential-reward turnaround bets. The report cautions against chasing short-term hype and emphasizes a disciplined, long-term approach focused on buying ecosystem strength and cash-flow certainty after market enthusiasm subsides. **Key Risks:** Underwhelming AI PC applications slowing upgrade cycles; slow improvement in Windows on Arm compatibility; macro/tariff impacts on PC demand; potential advanced node supply-demand mismatches affecting TSMC; high overall AI sector valuations making stocks vulnerable to a risk-off shift in markets.

marsbit25 dk önce

AI PC Battle: Bet on the Toll Booth, Not the Camp

marsbit25 dk önce

Ten-Thousand-Word Analysis: From $10 to $290, MRVL Wins the Entire AI Era by 'Not Making GPUs'

Marvell Technology's stock price surged from under $10 in 2016 to a record $290 in June 2026, fueled not by making GPUs, but by dominating AI infrastructure connectivity. This analysis argues the market misvalues MRVL as merely a smaller Broadcom in custom AI chips, overlooking its true, unique position. Marvell's core strength lies in enabling high-speed data flow for AI clusters through three interconnected businesses. First, it holds a commanding ~70% market share in high-speed optical DSPs (essential for data center light modules), a deep-moat business with accelerating growth. Second, its custom AI chip design business serves hyperscalers like AWS, Microsoft, and Google, with a significant revenue pipeline despite lower margins. Third, stable cash flows come from Ethernet switch chips and enterprise storage controllers. Together, they form a full-stack "AI data movement" platform. CEO Matt Murphy's transformative leadership since 2016, involving strategic divestments, key acquisitions (like Inphi for optical DSPs), and securing long-term agreements with major cloud providers, repositioned the company. A pivotal $2 billion strategic investment from NVIDIA in 2026 underscored Marvell's critical role in the AI ecosystem, particularly through collaborations like NVLink Fusion. While Marvell faces risks—including client concentration (losing the Amazon Trainium3 design), lower-margin business mix, competitive threats, insider selling, and complex supply chains—its fundamentals remain strong. The optical interconnect moat is widening with the acquisition of Celestial AI (photonics fabric), and financial metrics show accelerating revenue growth and operating leverage. With a PEG ratio suggesting undervaluation relative to its growth, the thesis is that the market undervalues Marvell's monopolistic position in AI "plumbing" while overemphasizing its competitive custom chip segment. The story transcends investing, symbolizing how in any complex system—from the internet to AI—the value of "connection" ultimately surpasses that of individual "nodes."

marsbit54 dk önce

Ten-Thousand-Word Analysis: From $10 to $290, MRVL Wins the Entire AI Era by 'Not Making GPUs'

marsbit54 dk önce

AI Relay Stations Spark Heated Debate on Zhihu: Behind Cheap Tokens, What Are Users Really Worried About?

A discussion on Zhihu about "AI relay stations" shifted the niche developer topic of "cheap tokens" into broader user awareness. Users moved beyond simply questioning the legitimacy of these services to focus on practical concerns: Where do cheap tokens truly come from? Is the model being accessed the real one? Can relay stations see prompts, code, and API keys? For occasional users, are the risks worth it? The core debate centered less on price and more on trust. A primary worry is model authenticity—the risk of "model swapping," where users paying for a premium model might be routed to a cheaper one, creating an information asymmetry. Others argued that cost comparisons matter; while cheaper than official pay-as-you-go APIs, relay stations may not be the lowest-cost option versus subscriptions, domestic models, or free tiers, making user needs assessment crucial. Speculation about token sources ranged from legitimate bulk discounts to gray-area methods like account sharing or exploiting regional pricing. This opacity makes risk assessment difficult for users. Data security emerged as a critical concern, especially for enterprise use. When processing sensitive information like code, contracts, or client data, the inability to verify a relay station's data handling, retention, or access policies poses significant compliance and confidentiality risks. The evolving consensus suggests relay stations can be used cautiously for low-sensitivity, disposable tasks (e.g., summarizing public info, simple translation). However, they should not be the default for sensitive, professional, or production workflows involving proprietary data, Agents, or automated systems. Recommendations include avoiding large prepayments, not relying on a single service, using test prompts to monitor quality, anonymizing data where possible, and keeping official channels as backups. Ultimately, the discussion framed tokens not just as a billing unit but as a measure of real cost encompassing price, model integrity, data security, and service stability. The popularity of relay stations highlights user demand for affordable access, but the debate underscores a key trade-off: the savings from cheap tokens may come at the price of trust, transparency, and control over one's data and AI experience.

marsbit1 saat önce

AI Relay Stations Spark Heated Debate on Zhihu: Behind Cheap Tokens, What Are Users Really Worried About?

marsbit1 saat önce

İşlemler

Spot
Futures
活动图片