Jiuzi Holdings Shares Soar 40% Amid $1B Crypto Plan

TheCryptoTimes2025-09-24 tarihinde yayınlandı2025-09-24 tarihinde güncellendi

Jiuzi Holdings, a company based in Hangzhou, China (NASDAQ: JZXN) has approved a new plan to invest in cryptocurrencies. The firm is allocating up to $1 billion of its cash reserves to be used for this. 

According to the press release, the board of directors approved the plan today and plans to start Bitcoin and other selected coins. A new Crypto Asset Risk Committee, led by CFO Huijie Gao, will oversee the program. In addition, the newly appointed COO Dr. Doug Buerger will manage the strategy and daily operations.

Buerger has decades of experience in blockchain and artificial intelligence. In the press release, he explained the company is not trying to trade or make quick profits.

“We are not engaging in short-term trading or speculation; rather, we view crypto assets as long-term stores of value to hedge against macroeconomic uncertainties.” He said. 

The plan for purchase has clear limits as the firm can spend up to $1 billion. First, Bitcoin, Ethereum and BNB will be purchased. If any other tokens are to be considered, they would require additional approval from the board. Jiuzi also mentioned that it will have top-tier third-party providers to manage the assets.

The Crypto Asset Risk Committee will report regularly to the board and share updates with the public through SEC filings. Dr. Buerger said he is “thrilled to lead this important treasury initiative supported by such a forward-thinking board and management team.” Meanwhile, this is coming just a day after Dr. Buerger was hired as COO. 

Jiuzi Holdings Shares After The Announcement
Jiuzi Holdings shares after the announcement | Source: Yahoo Finance

Shortly after the news was shared, the company’s stock (JZXN) jumped by 40% in premarket trading to $2.91. However, the price has dropped to $1.82 but still up 12% from previous day 

Jiuzi Holdings mainly runs charging stations for electric vehicles in smaller cities in China. To the company, adopting crypto is part of its effort to manage cash reserves wisely and support long-term shareholder value. 

Also Read: Trump’s Bitcoin Reserve Crypto Audit Now Overdue by 172 Days


Mobile Only Image

İlgili Okumalar

Mysterious "Ox Alpha" Large Model Goes Viral with Limited-Time Free Access

A mysterious anonymous AI model named "Ox Alpha," nicknamed "Cow is Coming" by Chinese netizens, has appeared on OpenRouter, sparking widespread speculation. The model offers a 1 million token context, supports text, image, and video inputs, can call tools, and is currently free. Its standout feature is strong coding ability. Initial tests on the DeepSWE benchmark, which evaluates real-world software engineering tasks, showed an 80% pass rate on a subset of tasks, reportedly nearing top-tier code models. However, follow-up tests yielded a 63% score, with variations attributed to different task sets and configurations. The model's true developer is a major topic of debate. The prevailing theory points to Zhipu AI's unreleased GLM-5.3 Flash or its multimodal variant. Evidence cited includes identical visual token consumption patterns with GLM-5V-Turbo for videos, a consistent offset in text token counts compared to GLM-5.3, and similar behavioral traits like refusing audio processing. Zhipu has a precedent of anonymous testing. Simultaneously, another anonymous model, "korrine," appeared on Code Arena, with guesses ranging from Moonshot's Kimi K3.1 to models from Qwen or MiMo, adding to the industry's guessing game. This trend of anonymous "undercover" testing allows for unbiased performance evaluation in platforms like Arena and provides real-world, high-pressure testing through tools like OpenRouter before official release. It also serves as an effective marketing tactic, prolonging discussion through suspense. If Ox Alpha is indeed a "Flash" model, its performance raises expectations for the full-scale version's potential.

marsbit2 saat önce

Mysterious "Ox Alpha" Large Model Goes Viral with Limited-Time Free Access

marsbit2 saat önce

Breaking News: DeepSeek Announces All-Day Off-Peak Pricing on Weekends, Making Weekend Work More Cost-Effective?

DeepSeek has announced a significant change to its API pricing model, effective August 23. The new policy removes peak/off-peak distinctions on weekends (Saturdays and Sundays), charging the lower off-peak rate for the entire two-day period. This adjustment has sparked mixed reactions within the developer and professional communities. For developers and businesses heavily reliant on DeepSeek's V4-Flash and V4-Pro APIs, this is welcome news. It allows them to schedule bulk processing tasks on weekends without the higher peak-hour costs, potentially halving their API bills for such workloads. Some users have celebrated the move for making weekend work more cost-effective. However, the announcement has also raised concerns among employees. There is apprehension that companies, particularly in cost-sensitive sectors like AI-powered short drama production, might reorganize work schedules to align with these new cost incentives. Instances are already emerging where teams schedule high-token tasks during cheaper nighttime hours or adjust staff shifts. This has led to worries about a potential shift towards weekend workdays and weekday time-off, prioritizing cost savings over traditional work-life balance. Debate has ensued regarding the practicality of such schedule changes, with questions about increased communication overhead and overall efficiency. Speculation about DeepSeek's motives for the change includes theories that peak pricing correlates with internal model training schedules, though others counter that training is largely automated. The new pricing structure is now in effect, prompting users to reconsider their task scheduling strategies.

marsbit3 saat önce

Breaking News: DeepSeek Announces All-Day Off-Peak Pricing on Weekends, Making Weekend Work More Cost-Effective?

marsbit3 saat önce

Just Now, The World's First Human vs. Robot Tennis Match Begins, Robot's Desperate Save Leaves Zheng Jie Astonished

Just now, the world's first human vs. robot tennis match began, featuring stunning robotic saves that left tennis star Zheng Jie in awe. This historic event, part of the second World Humanoid Robot Games and broadcast live globally by China Media Group, marked a pivotal moment in Chinese technological innovation and embodied artificial intelligence. The match featured both mixed human-robot doubles and a groundbreaking singles match between Zheng Jie and the "Galaxy Xingzai" humanoid robot developed by Galaxy General. The robot demonstrated impressive skills including serving, forehands, backhands, and strategic court movement, with serves exceeding 100 km/h. It exhibited remarkable adaptability, recovering from a fall to continue play and handling slices and spins. The doubles match highlighted its ability to coordinate dynamically with a human partner. The event's significance extends far beyond a novelty match. Tennis represents an ultimate pressure test for embodied AI, demanding real-time integration of perception, decision-making, full-body motion control, and live博弈 within fractions of a second—a stark contrast to the discrete, contemplative environment of board games like Go mastered by AlphaGo. It directly confronts Moravec's paradox, showcasing AI's move from digital cognition to physical execution. This capability is powered by Galaxy General's proprietary "Galaxy Star Brain" (AstraBrain) model. Its key innovation is a unified architecture that integrates high-level task understanding/tactical decision-making ("brain") and dynamic whole-body motion control ("cerebellum") into a single model, eliminating latency and information loss between separate modules. The model was trained using a two-step process via the "Galaxy Star Workshop" platform. First, it learned foundational movement priors from "imperfect" human motion data (both amateur and professional). Second, it underwent massive-scale evolution in a virtual tennis simulator where multiple AI agents played millions of games against each other. Through this adversarial training, skills like极限救球and recovery from falls emerged autonomously without explicit programming, before being transferred to the physical robot. This "AstraTennis" moment symbolizes a major leap: a decade after AlphaGo conquered the digital world, embodied AI from China has now demonstrated it can operate under the extreme, unpredictable physical pressures of real-world competition.

marsbit3 saat önce

Just Now, The World's First Human vs. Robot Tennis Match Begins, Robot's Desperate Save Leaves Zheng Jie Astonished

marsbit3 saat önce

İşlemler

Spot
活动图片