# Пов'язані статті щодо Subsidies

Центр новин HTX надає останні статті та поглиблений аналіз на тему "Subsidies", що охоплює ринкові тренди, оновлення проєктів, технологічні розробки та регуляторну політику в криптоіндустрії.

Don't Be Fooled by 'Consensus Price': 23 Pitfalls of Prediction Markets

In his article "23 Pitfalls of Prediction Markets," crypto KOL Alexander Lin critiques the structural and operational flaws hindering mainstream adoption. Key issues include extremely low capital efficiency due to full collateralization without leverage, structurally broken capital turnover from locked funds, and flawed liquidity pools where half the assets expire worthless. Prediction markets lack natural hedgers, suffer from worsening adverse selection near settlement, and face a liquidity trap at launch. They rely on external events for demand, unlike perpetuals' self-sustaining flywheel, and disconnect from institutional asset allocation. Liquidity resets to zero after each settlement, and subsidies create fragile, short-term activity. Other problems include the illusion of accuracy, oracle manipulation risks, inflated nominal trading volumes, reflexivity at scale, cross-platform credibility issues, and potential real-world event manipulation. Regulatory fragmentation and the innovator's dilemma further impede progress. Lin argues these defects make prediction markets inefficient, unscalable, and unreliable compared to traditional financial instruments.

比推02/27 06:19

Don't Be Fooled by 'Consensus Price': 23 Pitfalls of Prediction Markets

比推02/27 06:19

23 Major Flaws of Prediction Markets

Alexander Lin, a crypto KOL, outlines 23 fundamental flaws in prediction markets. Key issues include extremely low capital efficiency due to full collateral requirements and no leverage, structurally broken capital turnover from locked funds, and flawed liquidity pools where half the assets become worthless at settlement. There is a lack of natural hedgers, worsening adverse selection near settlement, and a liquidity trap for new markets. Prediction markets rely on external events rather than generating endogenous demand, disconnect from institutional asset allocation, and reset liquidity to zero after each event. Other problems include reliance on subsidies for liquidity, a trade-off between volume and accuracy, oracle risks, inflated nominal trading volumes, reflexivity at scale, cross-platform credibility risks, and susceptibility to real-world and market manipulation. They also lack complex financial instruments, face fragmented regulation, and suffer from the innovator's dilemma, hindering architectural improvements.

marsbit02/27 04:24

23 Major Flaws of Prediction Markets

marsbit02/27 04:24

2026 Chinese New Year: Why Are Giants Splurging 4.5 Billion in Frenzied Subsidies for AI Payments?

The 2026 Chinese New Year saw tech giants spending over 4.5 billion yuan in subsidies to promote AI-powered voice transactions—a figure surpassing historical spending peaks in past tech wars. Despite the efficiency of existing payment methods like QR codes, companies are aggressively pushing voice-based AI payment systems. This shift stems from a deeper battle over controlling user "intent" rather than mere transactions. The article contrasts two approaches: vertical integration, exemplified by Alibaba’s Qwen, which operates within its own closed ecosystem (e-commerce, payments, logistics), and horizontal standardization, as attempted by ByteDance’s Doubao phone, which aimed to interoperate across platforms but was blocked by major players like Tencent and Alibaba. The core conflict is about who captures and fulfills user intent—the next frontier in reducing decision-making friction and dominating future commercial gateways. While vertical integration strengthens existing ecosystems, horizontal models face resistance due to entrenched interests. The massive subsidies are investments in payment technology but in securing priority access to user intentions, shaping the next decade of digital commerce.

marsbit02/19 03:58

2026 Chinese New Year: Why Are Giants Splurging 4.5 Billion in Frenzied Subsidies for AI Payments?

marsbit02/19 03:58

How cheap power turned Libya into a Bitcoin mining hotspot

Libya's heavily subsidized electricity, priced as low as $0.004 per kWh, enabled a hidden Bitcoin mining boom, making it profitable to run even outdated mining hardware. At its peak, Libya contributed an estimated 0.6% of the global Bitcoin hash rate—the highest in Africa and the Arab world. Mining operations, often set up in abandoned factories or warehouses, exploited legal ambiguities despite a 2018 central bank ban on cryptocurrency use. Authorities now link these illegal farms to severe power shortages, leading to increased raids, equipment seizures, and prison sentences. With mining consuming roughly 2% of national electricity, the government faces pressure to either regulate and tax the industry or enforce a complete shutdown.

cointelegraph12/19 04:53

How cheap power turned Libya into a Bitcoin mining hotspot

cointelegraph12/19 04:53

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