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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.

Central Bank of Nigeria: Issued the "Regulations on the Operation of Non-Securities Virtual Assets," requiring a minimum paid-in capital of 15 billion Naira for foreign currency stablecoin issuers, and P2P transactions must verify BVN

According to the "Regulations for the Operations of Non-Security Virtual Assets in Nigeria" published by the Central Bank of Nigeria (CBN) on November 5, 2026, the CBN will regulate non-security virtual assets and stablecoins used for payment, settlement, and exchange purposes, while securities will still fall under the jurisdiction of the Securities and Exchange Commission (SEC).Foreign currency-pegged stablecoins (Class 2) must be issued by locally licensed entities in Nigeria, with a minimum paid-up capital of 15 billion Naira (approximately 11.16 million USD); the minimum for Naira-pegged Class 1 issuers is 10 billion Naira; entities providing other non-security virtual asset services must have at least 1 billion Naira in capital, and those already holding an SEC license cannot double count towards CBN capital requirements.P2P business facilitated by platforms must obtain special approval from the CBN, and before releasing or crediting regulated tokens, the names on the Naira payment accounts must be verified to match the Bank Verification Number (BVN). Categories such as algorithmic stablecoins are prohibited, and the boundaries of responsibilities between CBN and SEC are defined.

first_img Animoca co-founder Yat Siu warned about the trust risks of AI trading agents

According to Cointelegraph, Yat Siu, co-founder of Animoca Brands, pointed out that the crypto industry is gradually evolving into a "digital Wall Street," deviating from its original mission of decentralized finance. He believes that to bring the next billion users on-chain, the industry needs a new solution, rather than just relying on tokenization or new wallets. Siu emphasized that only AI agents capable of independently holding user keys and interacting with the blockchain can truly achieve autonomous control of user assets.Siu questioned the current AI agent platforms on the market, particularly Meta's Muse. He noted that Meta's terms of service allow it to "remove user agents at any time and for any reason," which constitutes a significant trust flaw. He believes that personal agents relied upon by users should not be owned and controlled by centralized platforms. Animoca is building the MINDS agent, a multi-agent orchestration system designed to provide user autonomy and support various communication channels and AI model choices.Siu estimates that currently only about 10% of crypto asset holders are truly on-chain, and he believes that AI agents will be a key factor in changing this ratio. He further pointed out that since AI agents use code as their native language, their capabilities in handling complex security issues will surpass those of ordinary users, providing a new perspective for the secure development of the crypto field.
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