Kraken Backs Pro-Trump Crypto PAC with $1 Million Donation

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

Crypto exchange Kraken is donating $1 million to the Digital Freedom Fund PAC, a pro-Trump political action committee, and increasing its 2025 contribution to America First Digital to $1 million.

Co-CEO of Karken, Arjun Sethi, announced the donations on X, describing them as a defense of cryptocurrency principles rather than support for any political party. 

Sethi cited concerns over regulatory uncertainty, attempts to criminalize crypto infrastructure, and restrictions on privacy tools. He said cryptocurrency represents “the right to self-determination” and extends financial freedoms in ways akin to constitutional rights.

Sethi sees that the core principles of crypto, such as privacy, self-custody, and the capacity to create decentralized systems, are under threat. He identified uncertainty in regulation and enforcement actions as a major threat. He also warned that potential bans on privacy tools could further erode these rights.

He noted that Kraken is “not backing a party” but principles. The contributions are meant as strategic investments in shaping U.S. crypto rules, “not just for Kraken, but also for every developer, founder, and user building in this space,” added Sethi.

Fellow Karken Co-CEO Dave Ripley also weighed in, saying, “Crypto is becoming a foundational layer of the global financial system. Clear, durable rules are needed to keep the U.S. competitive and support innovation.”

Pro-Trump PAC

The Digital Freedom Fund PAC is a pro-Trump group focused on supporting crypto-friendly candidates, promoting a Bitcoin Bill of Rights, and opposing central bank digital currencies. The PAC aims to influence U.S. crypto legislation, protect developers, and ensure fair access to banking, while also backing initiatives to strengthen America’s role in digital financial technology.

In August, Cameron and Tyler Winklevoss, founders of Gemini, donated 188 BTC (around $21 million) to the Digital Freedom Fund PAC. Kraken’s donation was also noted by Tyler Winklevoss, who welcomed the support.

The Winklevoss twins have said their PAC is explicitly partisan, backing Republican candidates and Trump’s cryptocurrency policies in the 2026 midterms.

Also Read: CFTC Proposes Stablecoins as Collateral in Derivatives Markets


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.

marsbit4 saat önce

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

marsbit4 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.

marsbit4 saat önce

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

marsbit4 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.

marsbit4 saat önce

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

marsbit4 saat önce

İşlemler

Spot
活动图片