# Scams Related Articles

HTX News Center provides the latest articles and in-depth analysis on "Scams", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

Top 10 AI Models Speak Out: What Do Crypto Users Care About Most in 2025?

This article summarizes the top concerns of cryptocurrency users in 2025, as predicted by 10 major AI models. The models were asked to identify the three most common questions users would have about crypto in 2025, with instructions to avoid real-time searches and base answers on long-term discussion patterns. The responses, while varied, cluster around three core themes: market cycles, profit opportunities, and risk management. Key recurring questions include: - The current market phase (bull or bear) and how long it will last. - Bitcoin's price trajectory post-halving and the market's peak. - Where to find profitable opportunities (alpha) and the best assets or sectors to invest in (e.g., RWA, AI+Crypto, L2s, Solana). - The impact of regulatory changes and ETF approvals on the market and asset safety. - How to identify scams, assess project legitimacy, and securely store assets. - Practical on-chain concerns like avoiding MEV and setting slippage. The analysis notes that the models' different focuses reflect their design and user base. For instance, ChatGPT framed questions around a structured narrative of market anxiety, while Kimi addressed granular technical issues. More capable models tended to provide sharper, more specific questions, while others fell back on broader, common themes. Overall, the collective output reveals a user mindset focused on first gauging market trends, then seeking alpha, and finally mitigating risks.

比推12/24 06:50

Top 10 AI Models Speak Out: What Do Crypto Users Care About Most in 2025?

比推12/24 06:50

What Are Crypto Users Most Concerned About in 2025? 10 AI Models Give Different Answers

The article explores what cryptocurrency users might be most concerned about in 2025 by querying 10 major AI models with the same prompt. Each model was asked to list the top three questions crypto users would frequently ask in 2025, with instructions to avoid real-time searches and rely on their understanding of long-term discussion patterns. The models provided varied responses, reflecting their unique focuses and contextual training. For instance, ChatGPT emphasized market cycles and alpha opportunities, while Grok focused on narratives like Bitcoin halving and ETF inflows. Perplexity prioritized price trends and scams, and Claude highlighted risk management for beginners. Gemini leaned toward real-world assets and technical roadmaps like L2 and AI integration. Chinese models like Douban and Wenxin were more aligned with regulatory impacts and market cycles, whereas Kimi delved into practical on-chain issues like wallet security and MEV. Overall, the questions centered on three core themes: market cycle positioning, profit opportunities, and risk management. The diversity in responses suggests differences in model design, data training, and intended use cases, with more advanced models often providing more structured and specific questions. The findings reflect the crypto community’s persistent focus on volatility, narrative-driven markets, and the balance between seeking returns and avoiding risks.

marsbit12/24 03:12

What Are Crypto Users Most Concerned About in 2025? 10 AI Models Give Different Answers

marsbit12/24 03:12

Behind Cryptocurrency 'Thefts and Scams': Why Does Civil Relief Frequently Encounter Obstacles?

Behind the surge in cryptocurrency "thefts and scams", why does civil relief frequently hit roadblocks? This article explores the legal challenges through two representative cases. In Case 1, a company paid 800,000 USDT to a Chinese employee of an overseas exchange for a listing service, only to have the employee disappear. Despite cross-border complexities and initial police refusal to accept the report (citing the company’s foreign status and claims that crypto "is not protected by law"), lawyers eventually secured case acceptance by invoking criminal procedure rules and citing regulatory recognition of virtual assets as property. However, formal立案 (case filing) is still pending. Case 2 involved a woman scammed into transferring over RMB 3 million to a USDT exchanger for a fake investment. While police quickly arrested the exchanger, the main scammer remained abroad. The exchanger was released due to lack of criminal intent, and a civil lawsuit against them for unjust enrichment was rejected at filing. The judge indicated that even if accepted, such cases rarely succeed. The analysis highlights key obstacles: the "criminal procedure takes precedence" principle often blocks civil suits until criminal proceedings conclude; if a criminal judgment orders restitution, further civil claims are barred; and bypassing criminal reporting to file civilly usually results in the case being referred back to police, wasting time. Ultimately, when crypto crimes are involved, civil relief is extremely difficult. The more viable path remains criminal prosecution, despite its own challenges, as civil victories are exceptionally rare in practice.

marsbit12/09 19:39

Behind Cryptocurrency 'Thefts and Scams': Why Does Civil Relief Frequently Encounter Obstacles?

marsbit12/09 19:39

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