Former CEO and founder of Celsius, Alex Mashinsky, was sentenced to 12 years in prison in 2023 for fraud and market manipulation, and he is now attempting to overturn that decision: Recently, he submitted a motion to a New York court requesting the dismissal of the effective sentence or judgment, arguing that on one hand, his defense team provided "ineffective assistance," failing to adequately protect his legal rights, and on the other hand, citing the "fruit of the poisonous tree" doctrine, questioning the legality of obtaining certain key evidence, and targeting the already convicted SBF and FTX in the motion, claiming that they attempted to "destroy Celsius"—this allegation has not yet been factually determined by the court, nor has there been a formal public response from SBF's side. Almost simultaneously with this appeal surrounding the responsibilities after major institutional failures, the U.S. Securities and Exchange Commission (SEC) announced it was suing Texas resident Nathan Fuller, accusing him of committing securities fraud through a fictitious "AI cryptocurrency trading robot" project, raising approximately $12.3 million from about 150 investors from October 2022 to mid-2024, promoting the so-called automated trading in the cryptocurrency market with high returns based on "AI cryptocurrency trading robots," which the SEC deemed to contain fraudulent statements. The appeal Mashinsky is attempting to overturn and the indictment against Fuller together outline a clear direction: since the industry crisis in 2022, U.S. judicial and regulatory actions have not cooled down, and the accountability arms are extending from the collapse of leading institutions like Celsius and FTX to cryptocurrency scams aimed at retail investors packaged under the concept of AI, illuminating various layers of the industry with the same set of legal spotlight.
Refusing to Acknowledge the 12-Year Sentence: Mashinsky's Appeal Gamble
After the 12-year sentence was imposed, Alex Mashinsky did not choose to "settle accounts" in prison, but rather placed his bets back in New York court. The motion submitted recently marks his first significant legal counterattack since the judgment took effect, requesting the dismissal of the established sentence and even the entirety of the judgment. The path chosen is not mild: he directly points to the original trial defense team, claiming he experienced "ineffective assistance," and invokes the "fruit of the poisonous tree" doctrine to question the legality of obtaining certain evidence, attempting to pry open the sealed documents from the foundational level of procedural justice.
In U.S. judicial practice, overturning an effective criminal judgment based on "ineffective assistance" is one of the steepest slopes among all relief paths. The defendant must not only prove that the lawyer's actions or inactions "fell below the standard of a reasonable professional lawyer," but also convince the judge that if the defense had been performed competently, the outcome of the case would likely have been different. In other words, he is telling the court—not that he defrauded the market, but that his lawyer "let him down." After Celsius's bankruptcy in 2022 and his sentencing in 2023 for fraud and market manipulation, Mashinsky's public image has almost crystallized as a typical negative character in this round of crypto collapse; choosing to walk a path with slim chances for overturning now resembles a counteroffensive in narrative warfare: it is not only a last-ditch effort regarding personal criminal responsibility but also an attempt to reclaim the discourse of "who is truly wronged" under regulatory pressure and public sentiment.
Blaming SBF? Revisiting the History Between Celsius and FTX
Among the most glaring statements in this appeal motion is his accusation that Sam Bankman-Fried and FTX attempted to "destroy Celsius." The wording is not a technical argument; it is a strong accusation laced with a victim's tone—implying that Celsius was not an active participant in a systemic risk but rather a target meticulously hunted by larger players. It should be emphasized that this statement is currently just Mashinsky's unilateral assertion and has not been factually determined by the court, but structurally, it is inserted between "ineffective assistance" and "fruit of the poisonous tree," appearing particularly abrupt and resembling an intentionally amplified "conspiracy narrative": it's not just my fault, but that convicted SBF pulling the strings behind the scenes.
To make the claim of "destroying Celsius" credible, the past history must be revisited. Celsius filed for bankruptcy protection in July 2022, nearly marking the collapse of this business model; just four months later, in November 2022, FTX also entered bankruptcy proceedings, with the two shocks quickly stitched together by public opinion into a dual disaster within the same year. Briefings confirm that there indeed existed complex business interactions between the two companies before their collapses, but the details of these interactions have yet to be fully disclosed or systematically clarified. It is this gray area of information that provides Mashinsky with operational space: he can blur the timeline, superficially reconnecting "the earlier fallen Celsius" with "the later collapsed FTX," and then shift the responsibility towards the already convicted SBF in the FTX case. For judges, such a narrative may not change the core judgment regarding conviction and sentencing, but Mashinsky is clearly betting on another effect—in the eyes of creditors and the broader public, Celsius is no longer an isolated "evil," but rather one of the "victims dragged into the abyss," and as long as someone starts questioning "who harmed whom first," he has the opportunity to regain some leverage in the next round of discourse competition.
Effective Assistance and Fruit of the Poisonous Tree: How Far Can the Appeal Go?
In the motion, Mashinsky first raises the shield of "ineffective assistance." Simply put, this is not a straightforward complaint of "my lawyer is not competent," but rather an accusation: the previous defense team's professional performance was so poor it amounted to "not hiring a lawyer," severely harming his rights. The threshold for this point in the U.S. criminal justice system is very high; the defendant must not only prove that the lawyer did indeed fail to fulfill a reasonable professional duty but also persuade the judge: had a competent lawyer been involved, the trial outcome "would likely have been different." Mashinsky's claim is that the original team did not effectively safeguard his legal rights, which on the surface points towards professional negligence but aims to shake the entire foundation of the trial—once the judge acknowledges that "the quality of the defense directly influenced the conviction," it justifies reopening the matter.
Complementing this, he also invokes the "fruit of the poisonous tree" doctrine to challenge the flaws in the evidence. The metaphor implies that if the "tree" (the evidence-gathering activity) is toxic, then the "fruit" (the evidence and its derived links) it bears may also be inedible. In U.S. legal practice, courts will only consider excluding these "fruits" when evidence is obtained through illegal means or when significant flaws exist in key processes. Mashinsky claims in his motion that the manner in which some key evidence was obtained is problematic and therefore should not support the judgment against him. The issue is that in such a high-profile financial fraud case, really relying on "ineffective assistance" and "fruit of the poisonous tree" for an appeal is extremely challenging: judges typically believe that investigative and evidentiary processes have undergone multiple rounds of scrutiny, and overturning existing conclusions requires proving not only that procedures went wrong but also that if the flawed evidence and the consequences of "ineffective" assistance were excluded, the jury likely would not have convicted. So far, there has been no public information indicating that the New York court has made a procedural decision on this motion, meaning Mashinsky’s attempts to overturn the judgment's foundation are still just theoretical rather than a step towards a genuine turnaround.
The Retail Investor Nightmare: AI Trading Robots Collecting $12.3 Million
Simultaneously, while Mashinsky attempts to pry a glimmer of hope from the old case, the regulatory front quietly shifted its target. The latest target named by the SEC is Texas resident Nathan Fuller: the indictment indicates that from October 2022 to mid-2024, he claimed to operate under the guise of an "AI cryptocurrency trading robot" project, asserting the use of "advanced algorithms" for automatic trading in the cryptocurrency market, consistently outperforming it, raising approximately $12.3 million from around 150 investors. The promotional rhetoric nearly crystallizes the two major obsessions of current retail investors—one being the mysterious "computational advantage" of AI, and the other being the high volatility "opportunity pool" of cryptocurrencies; under the influence of this dual imagination, funds were layered into this black-box product, with investors only seeing screenshot-style "profit curves" and an increasingly expanding fundraising scale.
The SEC's indictment directly classified Fuller’s project as securities fraud, but aside from the amount raised, the time period, and the approximate number of investors, publicly available materials have not disclosed more details on personal identities or fund destinations, and there has been no transparency regarding the follow-up proceedings of the case. However, placing this case within the SEC's enforcement trajectory over the past two years, it is not isolated: briefings show that regulators have taken action against similar "AI trading robot" projects multiple times, indicating that they are often packaged with AI and "new technology," but in reality exhibit characteristics of Ponzi schemes or funding rounds. In other words, after major institutional collapses, algorithmic stories cloaked in the aura of AI are rapidly growing into a new generation of crypto scams targeting retail investors, which are also in the regulatory crosshairs.
From Giant Collapses to AI Scams: Regulatory Accountability on the Way
On the timeline, Celsius filed for bankruptcy protection in July 2022, and FTX collapsed in November of the same year, with these two failures pushing the "high-yield lending + complex counterpart relationships" model onto the judgment stage for systemic risks. In 2023, former CEO of Celsius Alex Mashinsky was sentenced to 12 years in prison for fraud and market manipulation, and he has now submitted a motion to the New York court, citing "ineffective assistance" and "fruit of the poisonous tree," in an attempt to challenge the effective sentence and narrative, also accusing the already convicted SBF and FTX of attempting to "destroy Celsius." As of now, public information has not shown that the court has made any procedural decisions on this motion, nor has there been a formal public response from SBF's side, but solely based on this document, it has once again brought the entanglement with FTX back into public view, forming a secondary inquiry into the chains of responsibility from the old case.
Almost simultaneously, the SEC announced charges against Texas resident Nathan Fuller, accusing him of raising approximately $12.3 million from around 150 investors under the guise of "AI cryptocurrency trading robots" and using exaggerated claims of "high returns from AI auto trading" to commit securities fraud; this case, combined with multiple similar enforcement actions in recent years, demonstrates that regulatory responsibility paths have formed two parallel fronts: one is the long-term liquidation following the collapse of giants like Celsius and FTX, tracing the real risks hidden behind high leverage and high-return promises; the other is focusing the firepower on small projects that package under the concept of AI, making vague or exaggerated statements about returns and algorithmic capabilities, especially those with opaque funding sources and complex counterpart relationships that persuade retail investors with "robots" and "quantitative models." For industry participants, the more significant signal is not whether Mashinsky can appeal successfully or how much an AI project will ultimately be fined, but rather that regulators have simultaneously viewed "exaggerated returns," "AI aura packaging," and "unseen counterpart relations" as a high-risk template, and once these characteristics appear together, they are no longer merely marketing rhetoric, but are directly within the sights of enforcement.
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