Australia’s ASIC Proposes Regulatory Framework for Crypto Platforms

TheCryptoTimesPubblicato 2025-09-25Pubblicato ultima volta 2025-09-25

Australia has proposed a regulatory framework to inculcate financial services laws for the crypto industry. The primary aim of this regulation is to ensure consumer protection via clarified laws and licenses for the space. The new framework would amend the existing Corporations Act 2001. 

According to the proposal by the Australian Treasury and the Securities and Investment Commission (ASIC), it would require crypto operators to obtain an Australian Financial Services License (AFSL). They would also be required to comply with the same regulatory framework as traditional financial (TradFi) institutions. 

This novel framework introduces two new categories: digital asset platforms and custody platforms. These platforms aim to resolve subjects related to conflict of interest, dispute resolution, and custody and settlement practices. The framework would cover packaged tokens, public token infrastructure, and staking services. It also comes at the same time when the ASIC has already rolled out a licensing exemption for stablecoin intermediaries. 

“The focus of the framework is businesses that hold assets on behalf of clients, rather than on the digital assets themselves,” said the Treasury, adding that crypto assets already fall within the country’s existing frameworks and are treated in the same way as other assets. 

The framework is open for public consultation, offering industry players and stakeholders an opportunity to provide feedback before the rules are finalized. 

Last week, ASIC proposed changes to its Corporations (Stablecoin Distribution Exemption) Instrument 2025/631. The new rules state that intermediaries distributing stablecoins from individuals holding an Australian Financial Services (AFS) license are exempt from obtaining their own AFS, market, or clearing and settlement facility licenses. 

If adopted, the new measures would place Australia in the same boat as the European Union (EU) and Hong Kong. These are economies that have comprehensive regulatory regimes for digital assets.

Stricter laws globally 

With increased digital asset adoption, countries are also increasing their focus to set stricter and clearer rules. Earlier this year, Hong Kong proposed a comprehensive four-document regulatory framework for all stablecoin issuers operating in the region. These regulations provided strict licensing requirements for the issuers. However, earlier this month, simplified rules for stablecoins were introduced. 

Last year, the EU passed the Markets in Crypto-Assets Regulation (MiCA). These were licensing requirements for issuers of asset-referenced tokens (ARTs) and e-money tokens (EMTs) within the EU. MiCA aimed to harmonize the previously fragmented landscape, enhancing legal certainty and consumer protection.

Also Read: Senate Finance Committee to Hear Crypto Tax Plans on October 1


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

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

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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.

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

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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.

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