SBF Appeals from Prison, 35-Page Document Accuses Judicial Misconduct

marsbitОпубліковано о 2026-02-11Востаннє оновлено о 2026-02-11

Анотація

Sam Bankman-Fried (SBF), the founder of FTX currently imprisoned, is appealing his fraud conviction and 25-year sentence through a 35-page pro se motion filed by his mother. The motion cites newly discovered evidence and alleges multiple judicial and prosecutorial misconducts. Key claims include the absence of favorable witnesses like Ryan Salame, who was allegedly threatened by prosecutors, and coerced testimony from Nishad Singh. SBF also challenges the prosecution’s financial narrative, presenting a sworn statement from former FTX data head Daniel Chapsky arguing that Alameda’s account was misrepresented to show artificial losses. Additionally, SBF accuses Sullivan & Cromwell, FTX’s bankruptcy counsel, of undervaluing assets to support the narrative of insolvency, despite high customer recovery rates. The motion further suggests political targeting by the Biden administration and requests Judge Kaplan’s recusal due to alleged bias. Legal experts view the appeal as an uphill battle given the high bar for new evidence and judicial discretion in such motions.

Original Author: Sanqing, Foresight News

On February 10, according to Inner City Press, FTX founder Sam Bankman-Fried (SBF), currently serving his sentence at Terminal Island prison in California, is actively seeking to overturn his conviction. A pro se (self-represented) motion for a new trial, submitted on his behalf by his mother, Stanford Law Professor Barbara H. Fried, has been formally filed with the court. This 35-page document, citing Federal Rule of Criminal Procedure Rule 33 and newly discovered evidence, strongly requests the overturning of his 2023 fraud conviction and the 25-year prison sentence imposed in 2024.

The motion primarily argues that the trial was severely flawed due to the absence of key witnesses (such as former Alameda Research co-CEO Ryan Salame and former FTX.US executive Daniel Chapsky) from testifying; that prosecutors allegedly concealed evidence; and that the entire process was influenced by political factors, with SBF subtly suggesting he is a victim of a "targeted attack" by the Biden administration.

The evidence and arguments submitted by SBF this time are not aimed at directly proving his "innocence" but rather adopt a legal strategy questioning the procedural flaws of the judicial trial.

Core Accusation One: "Customized" Witnesses and Judicial Coercion

The motion accuses the prosecution of coercing and inducing key insiders to turn against SBF and silencing witnesses favorable to him.

For example, the absence of former Alameda Research co-CEO Ryan Salame. The motion cites Salame's public statements after August 2024 (including an interview with Tucker Carlson) as newly discovered evidence, alleging that prosecutors threatened to indict Salame's partner, Michelle Bond, to prevent Salame from testifying to SBF's innocence.

Regarding former engineering head Nishad Singh, who testified against SBF, the motion discloses that during pre-trial interviews, when Singh's initial statements did not meet the prosecution's expectations, a prosecutor angrily "slammed the table" and斥责 (chì zé - reprimanded/scolded) Singh's memory as "unreliable."

SBF believes that such high-pressure intimidation forced Singh to subsequently alter his testimony. The motion formally requests the court to order the prosecution to hand over the relevant interview notes to prove this coercion was concealed.

Core Accusation Two: The Disappearing "Liabilities" and the Mystery of [email protected]

SBF submitted a sworn declaration from former FTX Head of Data Science Daniel Chapsky, countering the misappropriation allegations from a data perspective.

The motion points out that the prosecution had presented the huge negative balance in the [email protected] account as ironclad evidence of SBF's misappropriation of customer funds. However, Chapsky's declaration refutes this, calling the prosecution's interpretation a "fundamental misrepresentation."

He stated that the negative balance in this account corresponded to cash and assets held offline by Alameda. The prosecution only showed the "debit" negative numbers to the jury but deliberately omitted the corresponding "credit" assets, thus fabricating a false impression of a multi-billion dollar shortfall out of thin air.

Chapsky's data analysis further shows that if correctly accounted for during most of 2022, Alameda's account on FTX actually maintained a positive balance of approximately $2 billion. The prosecution and expert witness Peter Easton deliberately displayed only certain specific sub-accounts with negative balances, misleading the jury.

Core Accusation Three: Bankruptcy Law Firm S&C's "Asset Erasure Technique"

SBF also targeted the law firm Sullivan & Cromwell (S&C), responsible for FTX's bankruptcy restructuring. He accuses S&C of artificially creating "insolvency" to align with the prosecution's conviction narrative and to earn exorbitant legal fees.

The motion points out that FTX held a venture portfolio valued at up to $8.4 billion at the time of bankruptcy (including investments in Claude AI developer Anthropic). However, early in the bankruptcy process, S&C and the prosecution, to solidify the capital shortfall, recorded these less liquid but highly valuable assets at zero or extremely low values.

SBF emphasizes that the bankruptcy team's eventual confirmation that customers will receive 119% to 143% cash recovery itself proves that his assertion during the trial—"FTX was solvent, the money wasn't lost"—was true.

Core Accusation Four: Political Targeting and Judicial Bias

Finally, SBF played the political and procedural cards. He implied he is a victim of a "political war" by the Biden administration. As a former major Democratic donor, he was quickly distanced from and harshly sentenced after the incident to quell public anger.

Furthermore, given that presiding Judge Lewis A. Kaplan repeatedly rejected defense evidence regarding "FTX's solvency" during the previous trial, SBF's motion not only requests a new trial but also explicitly requests Judge Kaplan to recuse himself, citing the judge's demonstrated extreme bias and inability to adjudicate the case fairly.

Is This Breakout Attempt Doomed to Be a Struggle of a Cornered Beast?

A Rule 33 motion requires the evidence to be "newly discovered" after the trial, which the defense could not have obtained through "due diligence" during the trial. The judge will likely rule that Salame and Chapsky were known potential witnesses during the trial, and the defense's failure to call them was a strategic choice or an objective difficulty, not "new evidence."

Moreover, FTX's high recovery rate (even exceeding 100%) does not conversely prove that SBF did not misappropriate customer funds at the time. The crime is established as soon as customer funds are used without authorization (regardless of purpose). Subsequent asset appreciation is generally considered irrelevant to legal guilt, potentially affecting only sentencing.

Regarding the coercion allegations, unless there is conclusive audio recording or written evidence proving direct prosecutorial coercion (such as a specific recording of "table slamming"), judges typically tend to credit the prosecution's explanations of procedural compliance.

Furthermore, successfully requesting a senior federal judge to recuse themselves due to "bias" is extremely rare in judicial practice, unless there is very clear evidence of a conflict of interest. Otherwise, such accusations might even further anger the judicial system and be seen as contempt for the court.

* The original motion document can be viewed here.

Пов'язані питання

QWhat is the core legal strategy employed in SBF's 35-page motion for a new trial?

ASBF's motion does not his innocence directly, but instead challenges the legal process by alleging procedural flaws, including the absence of key witnesses, prosecutorial misconduct in withholding evidence, and political bias, seeking to overturn his conviction under Federal Rule of Criminal Procedure 33.

QAccording to the motion, how did the prosecution allegedly prevent Ryan Salame from testifying for the defense?

AThe motion alleges the prosecution threatened to prosecute Ryan Salame's partner, Michelle Bond, to prevent him from taking the stand to testify in a way that would have supported SBF's claims of innocence.

QWhat key point does Daniel Chapsky's sworn declaration make regarding the [email protected] account evidence?

ADaniel Chapsky's declaration argues the prosecution's portrayal of the [email protected] account's negative balance as proof of missing customer funds was a 'fundamental misrepresentation.' He states the negative balances were offset by Alameda's cash and assets held off-chain, and that the account actually maintained a positive net balance of around $2 billion for much of 2022.

QHow does the motion link the law firm Sullivan & Cromwell (S&C) to the narrative of FTX's insolvency?

AThe motion accuses S&C of artificially creating the appearance of insolvency by initially writing down FTX's valuable venture portfolio (e.g., its investment in Anthropic) to zero or a very low value to support the prosecution's case and to justify their own high legal fees, despite the subsequent high recovery rate for customers.

QWhat two significant requests does SBF make regarding the presiding judge, Lewis A. Kaplan?

ASBF requests a new trial and also formally requests that Judge Lewis A. Kaplan recuse himself from the case, arguing the judge has exhibited extreme bias' and can no longer rule on the matter fairly.

Пов'язані матеріали

Stablecoins Finally Find Real Yield: An In-Depth Look at On-Chain Reinsurance Re | A Conversation with Re Founder Karan Saroya

Stablecoin Real Yield Found: A Deep Dive into On-Chain Reinsurance with Re's Karan Saroya As stablecoin supply exceeds $170 billion, the search for sustainable, non-speculative yield intensifies. Re, an on-chain reinsurance platform, provides an answer: connecting stablecoin capital to the trillion-dollar traditional reinsurance market. Re operates as a regulated reinsurer, accepting stablecoin deposits as collateral to back US insurance companies. These insurers pay premiums, generating yield that flows back to on-chain depositors. Currently supporting 35 insurers and underwriting $500 million, Re projects scaling to over $1 billion soon. Key insights from a Bankless podcast with founder Karan Saroya and investor Avichal of Electric Capital: 1. **Uncorrelated, Real-World Yield:** Re offers stablecoin holders access to reinsurance returns (targeting 12-14%+), an asset class entirely separate from crypto or equity markets. 2. **Operational Efficiency via Smart Contracts:** Re replaces traditional, labor-intensive capital fundraising with smart contracts, allowing a ~12-person team to compete with industry giants. 3. **Regulatory Leverage:** For every $1 of collateral, regulations allow backing $5-7 in written premiums. This leverage amplifies returns from the underlying risk-free rate. 4. **DeFi Integration:** Depositors receive receipt tokens, which can be used in protocols like Morpho for "looping," potentially pushing yields to 18-20%+. 5. **The "DeFi Mullet" Model:** A compliant front-end (regulated reinsurer) paired with a decentralized back-end (smart contracts, DeFi capital markets). 6. **RE Governance Token:** Modeled on Lloyd's of London, the token governs the central capital pool's allocation, counterparty acceptance, and parameters. 7. **Real Economic Impact:** Capital funds real-world productivity (factories, clinics, businesses) via insurance, moving beyond crypto's internal loops. The discussion highlights a pivotal moment: DeFi's supply-side infrastructure is now met by real demand for productive yield, potentially kickstarting a flywheel where vast on-chain stablecoin capital seeks these real-world returns.

链捕手35 хв тому

Stablecoins Finally Find Real Yield: An In-Depth Look at On-Chain Reinsurance Re | A Conversation with Re Founder Karan Saroya

链捕手35 хв тому

1996 or 1999? Walsh's First Test is 'How to View AI'

"1996 or 1999? Wall's First Big Test Is 'How to View AI'" Federal Reserve Chairman Wall's initial challenge is not whether to raise or cut rates, but a more fundamental judgment: what kind of boom is the current AI boom? This will determine the Fed's policy path and define his legacy. Economics is split between two opposing views, according to reporter Nick Timiraos. One sees imminent productivity gains that will increase supply and cool inflation, allowing the Fed to hold steady. The other argues that while productivity benefits are distant, demand shocks are here now, and waiting for data confirmation risks missing the intervention window, forcing sharper rate hikes later. Wall has signaled a leaning toward the first view, echoing 1996-era Alan Greenspan, who embraced strong, productivity-driven growth without fear of inflation. However, Wall faces a different macro environment than Greenspan did, with tariff pressures, expanding fiscal deficits, and diminishing globalization benefits, which could force more significant inflation pressures even if AI benefits materialize. Wall's logic, expressed before taking office, is that AI-driven productivity gains won't show in official data for years. If the Fed waits for confirmation, it might mistakenly tighten policy and choke off the very growth that could suppress inflation. This argues for using forward-looking narratives over lagging data. Chicago Fed President Austan Goolsbee presents a key counter-argument. He distinguishes between expected and unexpected productivity booms. A widely anticipated boom, like the current AI wave, can cause people to spend future wealth gains in advance, overheating the economy before productivity actually rises, thus requiring preemptive rate hikes. He cites rising costs for AI data centers as evidence of such overheating. Fed Governor Christopher Waller offers a rebuttal to Goolsbee, noting the "expected spending" mechanism only works if people can borrow against future income, which many households cannot do due to borrowing constraints. Wall also faces a paradox related to his desire to reduce the Fed's use of "forward guidance" (pre-announcing policy moves). This practice was established in 1999 when Greenspan began signaling hikes to avoid market shocks. If the economy follows a less optimistic path, Wall may be forced to choose between using the guidance he wants to abolish or risking market volatility by staying silent. The ultimate question defining Wall's first major test remains: Is this 1996 or 1999?

marsbit1 год тому

1996 or 1999? Walsh's First Test is 'How to View AI'

marsbit1 год тому

Ethereum Q1 2026 Report: Fees Decline, Users and Transaction Volume Hit New Highs

Ethereum Q1 2026 Report: Fees Down, Users & Transactions Hit New Highs Token Terminal's Q1 2026 report on Ethereum presents a pivotal development: the network achieved record highs in monthly active users (13.2M, +85.9% YoY), total transactions (200.4M, +81.5% YoY), and throughput (25.78 TPS), while transaction fees on the mainnet plummeted by 47.9% quarter-over-quarter. This shift is attributed to the network's strategic move into a "low fees for scale" phase, exemplified by the Fusaka upgrade which increased data capacity and lowered block space costs, releasing pent-up demand (a manifestation of Jevons's Paradox). The report highlights a core narrative shift for Ethereum: from a DeFi-centric blockchain to a global financial settlement layer. It maintains a dominant position in tokenized assets, holding majority market shares among top chains in stablecoins (61.8%), tokenized funds (73.0%), and tokenized commodities (84.0%). Growth in tokenized funds (+73.1% YoY) and commodities (+325.9% YoY) was particularly strong, driven by institutions like BlackRock and JPMorgan entering the space. Contrasting these usage gains, several USD-denominated value metrics declined in Q1: fully diluted market cap fell 30.3% QoQ, total value locked (TVL) dropped 11.0%, and ecosystem transaction volume decreased 24.0%. The report interprets this as Ethereum prioritizing long-term network expansion and cementing its role as the default settlement layer for finance over short-term fee capture. The commentary from Etherealize argues that, much like the early internet, Ethereum's open, permissionless model is poised to win over closed alternatives as institutional tokenization accelerates.

marsbit3 год тому

Ethereum Q1 2026 Report: Fees Decline, Users and Transaction Volume Hit New Highs

marsbit3 год тому

He Just Raised 2.7 Billion, and Li Fei-Fei Also Invested

Pete Florence, a former senior research scientist at Google DeepMind and a key contributor to the Vision-Language-Action (VLA) model architecture, is deliberately distancing his startup, Generalist AI, from the trendy "world model" label. He argues that the industry should prioritize concrete goals over buzzwords. His goal is to create robots that can perform a vast range of unseen tasks with high speed and success rates, without needing task-specific training data. Recently, his company raised $400 million (¥2.7 billion) at a $2 billion valuation. Notable investors include NVIDIA's NVentures, Bezos Expeditions, NFDG, as well as Xiaomi co-founder Lin Bin, Zoom founder Eric Yuan, and renowned AI scientist Fei-Fei Li. Florence's approach stems from his academic background at MIT under Professor Russ Tedrake, focusing on understanding the physical world. After joining DeepMind, he developed models like Transporter Network and co-created the VLA framework. He left in 2025 to found Generalist AI. The company has launched two models: GEN-0, which demonstrated that scaling laws apply to physical motion, and GEN-1. GEN-1 was trained on over 500,000 hours of physical interaction data collected via a specialized wearable device. It achieves a 99% success rate on precise mechanical tasks like folding boxes and maintains performance three times faster than its predecessor. Florence believes GEN-1 is reaching a commercial utility threshold similar to the GPT-3 inflection point. The substantial funding round, following GEN-1's release, signifies strong investor confidence in Generalist AI's practical, goal-driven path to creating versatile, useful robots, regardless of the "world model" terminology.

marsbit3 год тому

He Just Raised 2.7 Billion, and Li Fei-Fei Also Invested

marsbit3 год тому

Торгівля

Спот
Ф'ючерси
活动图片