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Buying Seafood with USDT in Vietnam: Has Web3 Truly Achieved Mass Adoption?

In Vietnam, a country consistently ranked among the top in global cryptocurrency adoption, the author explores whether Web3 and crypto payments have achieved mass adoption beyond reports and whitepapers. During a two-week trip, the author avoided formal industry events and instead tested crypto payments in everyday scenarios like spas, street food stalls, and taxi rides. Key observations include: - Many local merchants prefer cash over international cards due to high fees and tax avoidance, creating an opening for stablecoins like USDT. - Using Bitget Wallet, the author successfully paid via VietQR—Vietnam’s ubiquitous payment QR system—at many locations, with transactions feeling nearly as seamless as Alipay. - However, a failed payment at a seafood restaurant revealed compatibility issues between crypto wallets and older, non-standard QR systems, highlighting remaining technical barriers. - Public perception of crypto remains mixed: in northern cities like Hanoi, it is often associated with crime and gambling, while southern hubs like Ho Chi Minh City show more enthusiasm, with young people trading or developing crypto projects in cafes. - Despite low visible crypto infrastructure (e.g., few Bitcoin ATMs), underlying adoption is significant, driven by a young, tech-savvy population eager for financial mobility. The author concludes that Vietnam’s combination of demographic youth, high mobile internet use, and informal financial vitality makes it a fertile ground for Web3 growth, though real-world usability and cultural acceptance vary widely. The journey continues into southern Vietnam for deeper exploration.

深潮12/22 08:50

Buying Seafood with USDT in Vietnam: Has Web3 Truly Achieved Mass Adoption?

深潮12/22 08:50

When Prediction Markets No Longer 'Predict', But 'Leak the Truth': BlockBeats Officially Launches Prediction Market Coverage

For a long time, prediction markets were seen as rational arenas where people bet on future outcomes based on public information, with prices reflecting collective consensus. However, over the past year, it has become increasingly clear that many prediction markets are not actually "predicting the future." Instead, they are exposing outcomes that have already been determined and are known to a select few, even before official announcements. When an outcome is certain but not yet public, prediction markets become a powerful and unsettling mechanism for leaking information. The movement of money itself acts as a signal—no explicit爆料, anonymous tips, or statements are needed. Key signals include unusually large bets on specific options, addresses consistently placing winning bets during critical periods, and accounts that repeatedly "predict" correctly ahead of time. This phenomenon is changing how secrets are kept and revealed. Examples include plot twists in TV shows, results of award selections, upcoming product launches or regulatory decisions, and governance votes in crypto protocols. In traditional contexts, this would be considered insider information. But in prediction markets, the mere act of betting can reveal what is known to a few. The article also highlights how prediction markets can influence reality itself, not just reveal it. A notable example is from a Coinbase earnings call where CEO Brian Armstrong used specific words that were the subject of active prediction market bets. His utterance led to immediate market settlements, rewarding those who had bet on those words being spoken. This shows that prediction markets can create a "reality distortion field," where betting activity may actually shape outcomes. As platforms like Polymarket and Kalshi grow, the issues raised by prediction markets—information leakage, insider advantage, and potential manipulation—will have increasingly significant real-world impacts.

marsbit12/22 04:04

When Prediction Markets No Longer 'Predict', But 'Leak the Truth': BlockBeats Officially Launches Prediction Market Coverage

marsbit12/22 04:04

Average Age 'Post-95s', Over a Billion USD in the Books: MiniMax Knocks on Hong Kong Stock Exchange's Door

MiniMax, a leading Chinese AI startup founded in December 2021 by former SenseTime executives, has filed for an IPO in Hong Kong, potentially becoming one of the fastest AI companies to go public. Specializing in full-spectrum AGI technologies—spanning text, voice, video, and music—MiniMax operates on a dual-strategy of "large model + AI-native applications." As of September 2025, it serves over 212 million individual users across more than 200 countries and regions, along with 100,000+ enterprise clients. Notably, over 70% of its revenue comes from overseas markets. Its AI-native products, including Haiduo AI, Xingye/Talkie, and MiniMax Voice, saw average monthly active users grow sharply to 27.6 million in the first nine months of 2025. Financially, MiniMax reported revenue of $53.4 million for the first three quarters of 2025, a 174.7% year-on-year increase. Despite an adjusted net loss of $186 million during the same period, the company demonstrated improved operational efficiency, with R&D expenses growing only 30% while sales and marketing costs fell 26%. Technologically, MiniMax has released several cutting-edge models: the voice model Speech 02, video generator Video 01 (and its upgrade Hailuo 02), and the open-source MiniMax-M2 text model—ranked among the top five globally. Its M2 model incorporates "Interleaved Thinking" for enhanced reasoning and agentic capabilities. The company is highly R&D-focused, with nearly 80% of its 385 employees in technical roles. The executive team is notably young, with an average age of 32. MiniMax plans to allocate 70% of IPO proceeds to R&D over the next five years to further advance its models and AI-native products.

深潮12/22 02:45

Average Age 'Post-95s', Over a Billion USD in the Books: MiniMax Knocks on Hong Kong Stock Exchange's Door

深潮12/22 02:45

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