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first_img The Thai SEC plans to set the daily deposit and withdrawal limit for stablecoins at 5 million Thai Baht

According to Cointelegraph, the Securities and Exchange Commission (SEC) of Thailand has released a draft proposing that regulated cryptocurrency operators set a daily deposit and withdrawal limit of 5 million Thai Baht (approximately 148,000 USD) for each customer regarding stablecoins. This limit will be calculated separately for each operator, applying to both deposits and withdrawals. The regulatory body stated that this move aims to curb money laundering, cybercrime, and the evasion of cross-border fund transfer regulations.The draft also prohibits the transfer of stablecoins in and out of third-party wallets, requiring operators to verify that customers own the accounts or wallets used for deposits and withdrawals. Operators must also comply with the Travel Rule, which involves collecting and sharing information related to transfers and using blockchain analysis tools to identify wallet addresses associated with suspicious activities.Additionally, the draft requires cryptocurrency exchanges to disclose their list of market makers and specify the assets that these market makers provide liquidity for; cryptocurrency brokers are not allowed to use liquidity providers for trading pairs of stablecoins with Thai Baht; a minimum threshold of 3 million Thai Baht will apply to certain over-the-counter transactions. This draft continues the consultation initiated by the Thai SEC in September, during which it had already proposed limits on stablecoin transfers and recommendations for strengthening the regulation of cryptocurrency operators.

first_img Ming-Chi Kuo: Jensen Huang may find it difficult to withdraw unscathed, NVIDIA should prepare for succession

Tianfeng International Securities analyst Ming-Chi Kuo stated that Jensen Huang's importance to NVIDIA lies in his ability to transform technologies deemed feasible by engineers into products that the company must invest resources in, take risks on, and deliver. He believes this provides the supply chain with strong order visibility and a willingness to cooperate with aggressive specification upgrades; this move will also force competitors to follow suit, thereby driving technological upgrades and supply chain investments across the entire AI industry.Kuo mentioned that compared to providing order visibility to the supply chain, deciding on and implementing aggressive specification upgrades is more challenging. Jensen Huang does not need to be the person within NVIDIA who understands new technologies such as HVDC, CPO/NPO, or CCL/PTFE the best; his value lies in weighing strategy, organization, technology, and supply chain simultaneously, and making decisions and allocating resources quickly. He indicated that based on the information currently available, it is difficult for Jensen Huang to step back completely; if so, the actual approach may be to gradually reduce NVIDIA's reliance on Huang's personal decisions while preparing a succession plan. Two things worth observing in this process are whether NVIDIA can continue to develop new products and technologies as efficiently as before, and how competitors will respond. He stated that supply chain research will be an important basis for judging the direction of AI technology and investment.

first_img Layer33: Calls for a pause on SFDP weekly withdrawals, with the delegation dropping to about 55,000 SOL

The independent Solana validator alliance Layer33 responded to the adjustments of the Solana Foundation Delegation Program (SFDP) rules. The alliance is composed of independent validators, aiming to push for independent operators to collectively hold at least 33% of the network's stake. Layer33 stated that it acknowledges the foundation's remarks that the network scale has exceeded the initial launch plan, the validator pool has matured, and it faces challenges that were not envisioned in the early stages, believing that the delegation mechanism should evolve accordingly. The organization indicated that the new rules replace long-term contributors with short-term participants for a duration of 12 months.Layer33 mentioned that the foundation, in subsequent statements, indicated that participants from the Alpenglow community cluster provided crucial assistance and should receive direct rewards; part of the related adjustments is to make such rewards possible. The organization stated that the SFDP currently holds over 10 million SOL in remaining delegation, and providing substantial rewards to cluster participants does not require dismantling the existing plan; the foundation expressed that the intended recipients of the rewards are precisely the group prioritized for exit. Layer33 also noted that validators remaining in the program will see their SFDP delegation decrease from approximately 85,000 SOL to 55,000 SOL, reducing by about 30,000 to 35,000 SOL; some operators have already shut down nodes and canceled their Breakpoint schedules.Layer33 stated that it does not demand the foundation to change direction but rather to advance in the correct order and update the requests made in the previous open letter: to suspend weekly exit batches until communication regarding not abandoning contributors improves; to supplement details on rewards for Alpenglow community cluster participants; to disclose the analysis behind the 300,000 SOL external staking graduation line, the cap of 100 validators, the 12-month term, and the 55,000 SOL delegation scale; to publish an impact assessment on the current validator pool, including how about 75% of members are identified as non-contributors; to conduct formal consultations with existing SFDP members with processes and timelines; to disclose contribution-based delegation standards and application processes, running parallel with discretionary delegation; and to explain why the program places more emphasis on new validators rather than contributors who have operated and improved the Solana network for many years.

MiniMax officially open-sources the H3 raw image model, producing 16.8 million pixels in 6 steps

MiniMax officially released H3-Image and open-sourced the model weights. This model can directly generate images of 4096×4096, approximately 16.8 million pixels, without additional upscaling. According to official data, the generation time is less than 10 seconds, with speeds reaching up to 5 times that of mainstream products. Text-to-image and image editing have been integrated into the same model, supporting up to 16 reference images.H3-Image follows the architecture of the H3 video model, removing the audio component while retaining the original text encoder and redesigning the decoder for images. The core image generation network has 33.1 billion parameters, requiring only 6 sampling steps to generate an image. On August 7, MiniMax researcher Kiro revealed in a Reddit AMA that the team is developing a dedicated image model based on the H3 homogenous architecture and plans to open-source the weights. They also proposed a workflow where the image model generates the first frame, which is then handed over to H3 for video generation.On November 3, Pruna AI launched P-H3-Image based on the open-source H3 video model, supporting raw images and retouching, compressing the generation network from 33.1 billion to approximately 20 billion parameters, requiring only 8 sampling steps. The minimal quantization version is about 20 GB, with peak memory usage of approximately 21 GB when generating 8 million pixel images. The official MiniMax version retains the 33.1 billion parameter generation network, with a sampling step count of 6, and supports higher resolutions and more reference images, with the original weights plus the reused text encoder totaling approximately 135 GB. There are regional restrictions on the open-source license; the United States, United Kingdom, European Union, and South Korea are not within the community license authorization regions. Companies with annual revenues exceeding 1 million dollars or those providing model hosting services to third parties must obtain separate authorization in advance.
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