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Cango (CANG) faces NYSE delisting risk, raises fresh capital

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Wall Street heavyweight Cantor among investment banks pitching crypto trading firm FalconX for its potential IPO

Cango (CANG) is at risk of losing its NYSE listing after its shares traded below $1 on average for 30 consecutive days, triggering a compliance notice from the exchange and giving the bitcoin miner a six-month window to recover, the company said in a press release Wednesday.

The New York Stock Exchange flagged the company on March 10, warning that failure to lift its share price back above the $1 threshold by the end of the cure period could lead to suspension and delisting proceedings. Cango said it plans to monitor market conditions and explore options to regain compliance, while its shares continue trading in the interim.

Against that backdrop, the company is shoring up its balance sheet with fresh capital.

In a separate announcement, Cango said it has entered into a $10 million convertible note agreement with Hong Kong-listed DL Holdings, alongside issuing warrants to purchase shares at $2.70 apiece. The financing is paired with a non-binding cooperation framework that could see the two firms pursue additional joint investments tied to crypto mining and AI infrastructure.

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Proceeds from the note are earmarked for upstream acquisitions and expanding Cango’s push into computing infrastructure, part of a broader pivot beyond bitcoin mining.

Cango’s recent fundraising comes as the company pivots beyond its roots in bitcoin mining toward a broader strategy centered on energy and AI compute infrastructure. The firm has been positioning its global mining footprint as a foundation for high-performance computing, aiming to repurpose or expand its power capacity to support data-intensive AI workloads, a shift that mirrors a wider industry trend of miners seeking more stable, higher-margin revenue streams.

The convertible issuance follows the closing of a $65 million strategic investment round led by entities controlled by chairman Xin Jin and director Chang-Wei Chiu. The deal, settled in USDT and completed March 31, saw the company issue more than 49 million Class A shares.

Together, the transactions underscore management’s effort to stabilize the company financially while betting on longer-term growth in energy and AI-linked compute, even as it faces near-term pressure to keep its NYSE listing intact.

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Cango’s shares have slumped sharply this year, highlighting the urgency behind its latest capital raise. The stock is down more than 70% year to date, recently trading around $0.39 after starting January above $1.40, with sustained selling pressure pushing it below the NYSE’s $1 minimum listing threshold.

Read more: Cango is selling off its bitcoin stash to pay down debt and fund an AI makeover

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Crypto World

US Law Firm Apologizes For AI Hallucinations in Filing

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US Law Firm Apologizes For AI Hallucinations in Filing

Sullivan & Cromwell’s Andrew Dietderich said the company has AI policies to prevent incorrect citations and other errors, but procedures weren’t followed on this occasion.

Wall Street law firm Sullivan & Cromwell has apologized to a federal judge after submitting a court filing that contained around 40 incorrect citations and other errors caused by AI hallucinations.

“We deeply regret that this has occurred,” Andrew Dietderich, co-head of Sullivan & Cromwell’s global restructuring team, wrote Friday in a letter to Chief Judge Martin Glenn of the US Bankruptcy Court for the Southern District of New York.

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“The Firm and I are keenly aware of our responsibility to ensure the accuracy of all submissions including under Local Bankruptcy Rule 9011-1(d), and I take responsibility for the failure to do so,” he said of an emergency motion filed nine days earlier.

Excerpt from Andrew Dietderich’s letter to Chief Judge Martin Glenn. Source: Sullivan & Cromwell

The incident highlights the risk AI tools can pose in high-stakes professional work without proper oversight. A database managed by legal technologist Damien Charlotin has recorded 1,334 incidents of AI hallucinations in court filings around the world, including more than 900 in the US.

Charlotin pointed out that most of these hallucinations involve fabricated citations, though AI-generated legal arguments have also occasionally been identified.

Dietderich said Sullivan & Cromwell has policies in place for the use of AI tools, which include a review of the citations it uses, but said the policies weren’t followed.

“Regrettably, this review process did not identify the inaccurate citations generated by AI, nor did it identify other errors that appear to have resulted in whole or in part from manual error.”

Sullivan & Cromwell is one of the largest law firms in the US by revenue, ranking 30th on the AmLaw Global 200. The firm also represented crypto exchange FTX in its bankruptcy case.

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Sullivan & Cromwell is conducting an internal investigation

Dietderich said the law firm took “immediate remedial measures,” including a full review of the circumstances that led to the errors. 

Related: Coinbase’s AI payments protocol x402 launches app store for AI agents

The firm is also “evaluating whether further enhancements to its internal training and review processes are warranted,” Dietderich said.

Dietderich also noted that the errors were spotted by a rival law firm.

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“I also called Boies Schiller Flexner LLP on Friday to thank them for bringing this matter to our attention and to apologize directly to them as well,” he said. 

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