# Cryptocurrency Related Articles

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

Why Does 'AGI Godfather' Ben Goertzel Believe the Future of AI Relies on Blockchain?

Ben Goertzel, known as the "AGI Godfather," argues that the future of Artificial General Intelligence (AGI) must be built on blockchain to prevent its control by a few corporations or venture capital firms. He believes the core AGI code should be free and open-source, but that this alone is insufficient without a decentralized infrastructure to run it affordably. His blockchain project, SingularityNET, and the broader Artificial Superintelligence Alliance aim to create a user-owned, decentralized network for hosting and deploying AGI, contrasting with the closed models of companies like OpenAI and Anthropic. Goertzel criticizes the shift of other labs from open to closed development. He argues that while a closed path is simpler, an open, decentralized model—akin to Linux and the internet—is both possible and ultimately better for humanity. He envisions an "Agent economy" where individuals orchestrate teams of AI agents to perform tasks, including transactions, on an open network rather than corporate clouds. While his current model relies on cryptocurrency, plans include offering paid AI services to businesses with the decentralized blockchain as the backend. Goertzel predicts human-level AGI could arrive by 2029 and warns that a gap in understanding and access to AGI could drastically worsen inequality. The first test of his decentralized approach will be the upcoming release of the Agent Omega Claw.

Foresight News06/22 12:10

Why Does 'AGI Godfather' Ben Goertzel Believe the Future of AI Relies on Blockchain?

Foresight News06/22 12:10

A Company Once on the Brink of Bankruptcy Just Surpassed Bitcoin in Market Cap

On June 22nd, driven by rising stock prices, SK Hynix’s market capitalization reached $1.35 trillion, surpassing Bitcoin's total market cap of approximately $1.29 trillion. This temporarily made it South Korea's highest-valued company. The core driver of this surge is HBM (High Bandwidth Memory), for which SK Hynix is the primary supplier to NVIDIA, holding over 60% market share. AI's demand for high memory bandwidth has translated into immense profitability, with SK Hynix reporting a 72% operating profit margin in Q1. The company's success follows a 13-year bet on HBM technology, beginning in 2009. It nearly failed after the 2001 dot-com bubble, was acquired by SK Group in 2012, and was subsequently recapitalized to continue its long-term HBM development. The article contrasts this with the Crypto AI narrative. Capital currently favors AI infrastructure players like SK Hynix due to "real orders, physical barriers, and quantifiable profit margins." In comparison, Crypto AI projects, promising decentralized compute and data markets, remain largely conceptual with limited tangible progress. Examples include Bittensor, whose core mechanisms are still under development, and Bitcoin miners transitioning to AI, who face significant funding gaps and execution challenges. The piece cites analysis suggesting the AI sector has absorbed nearly all new market liquidity since 2022, leaving little for crypto. It concludes that the current AI infrastructure红利 is captured by entities with proven technical barriers and supply capabilities, while crypto networks still need to define their concrete role in the value chain.

链捕手06/22 11:30

A Company Once on the Brink of Bankruptcy Just Surpassed Bitcoin in Market Cap

链捕手06/22 11:30

During the World Cup, USDT becomes the preferred chip for illegal gambling? Beware of three typical scams

During the 2026 FIFA World Cup, USDT has become the preferred payment method for illegal online gambling due to its price stability, anonymity, and fast cross-border transfers. This article analyzes how USDT facilitates this activity and outlines three major scams targeting users. **Why USDT is the "Chip of Choice"**: It solves bettors' anxiety over crypto volatility, enables instant cross-border transfers without traditional banking, and shows significant abnormal transaction spikes during major events. **The Fund Flow**: Gambling platforms use a complex laundering chain involving multi-layer address hopping, cross-chain transfers (e.g., Polygon to Tron), mixers like Tornado Cash, and final cash-out via exchanges. **Three Typical Scams**: 1. **"USDT Betting Evades Regulation"**: Fake platforms promising anonymous, high-odds betting but manipulating outcomes. 2. **Fake Sportsbooks**: High-quality replica sites that allow small initial withdrawals to build trust before freezing accounts with larger funds. 3. **"Insider Tips / Guaranteed Wins"**: Schemes selling fabricated "AI predictions" or "fixed match" models to exploit information anxiety. **Identifying Suspicious Addresses**: Key chain-based indicators include a "fast-in, fast-out" transaction pattern, clustered addresses with consistent behavior, uniform Gas fee patterns, and frequent cross-chain jumps. **User Protection Advice**: * Avoid any project promoting "USDT betting," "Web3 predictions," or "anonymous high returns." * Be skeptical of promises like "guaranteed wins" or "insider models." * Do not trust platforms just because they allow small withdrawals—this is a common trust-building tactic. * If scammed, preserve all evidence: transaction hashes, wallet addresses, chat logs, and platform URLs. **Conclusion**: USDT provides unprecedented liquidity for illicit activities. The most effective protection for users is complete non-participation in any form of online crypto gambling.

marsbit06/22 10:48

During the World Cup, USDT becomes the preferred chip for illegal gambling? Beware of three typical scams

marsbit06/22 10:48

Which Crypto Sectors Have Been 'Eaten' by AI Agents?

The article examines the transformative impact of AI Agents on the cryptocurrency landscape, highlighting how specific sectors are becoming increasingly dominated by automated systems. Key "agent-eaten" sectors include derivatives trading (perpetuals), where AI agents demonstrate significantly higher survival and performance rates than human traders; MEV and arbitrage trading, which are almost entirely automated; yield optimization, with over two-thirds of new DeFi protocols incorporating AI agents; and spot trading/portfolio management, where agents drive a growing share of DEX volume. "Battleground" sectors like prediction markets and DeFi lending show a mix, with agents excelling in short-term/arbitrage activities but humans retaining an edge in longer-term, nuanced decisions. Sectors still primarily "human-led" include stablecoin payments/remittances (driven by real-world economic activity) and wallets, where human oversight for approvals and security remains critical. As AI agent activity grows, the article emphasizes the rising importance of human-agent verification layers (e.g., World/AgentKit, t54, Self Protocol) to ensure trust, accountability, and control in an increasingly agentic economy. The conclusion is that while AI agents dominate in speed and optimization-focused areas, human judgment, trust, and real-world context remain essential in value-creating layers like payments and identity.

marsbit06/22 10:09

Which Crypto Sectors Have Been 'Eaten' by AI Agents?

marsbit06/22 10:09

Which Crypto Sectors Have Been "Eaten" by AI Agents?

The article examines which crypto sectors have been increasingly dominated by AI Agents and which remain human-centric. In certain high-speed, efficiency-driven areas, AI Agents have taken clear control. This includes derivatives/perpetuals trading, where bots outperform humans significantly (e.g., a contest showed 0% of AI Agents were liquidated vs. 43% of humans), arbitrage/MEV extraction, and yield optimization (with ~68% of new DeFi protocols in Q1 2026 featuring autonomous AI Agents). Spot trading and portfolio optimization are also seeing heavy Agent adoption. However, the shift is not universal. In "battleground" sectors, both Agents and humans coexist. In prediction markets, Agents dominate short-term arbitrage, but humans still outperform in long-term, nuanced judgment calls. In DeFi lending, while liquidation is automated, core deposit/borrow decisions remain largely human-driven. Sectors still firmly led by human activity include stablecoin payments and card-based spending (driven by real-world economic activity and remittances) and wallets, which serve as the crucial human-verification and approval layer. The rise of Agents increases the need for robust human-Agent verification layers. Projects like World/AgentKit, t54, Self Protocol, and Kite AI are building infrastructure to create trust, security, and accountability by binding Agents to verified human identities. In conclusion, while AI Agents have decisively "eaten" speed and optimization-focused crypto sectors, human judgment, trust, and real-world context remain dominant in areas that create broad economic value, such as payments and identity. The future likely involves a symbiotic relationship where Agents require human verification and oversight to operate effectively.

Foresight News06/22 07:10

Which Crypto Sectors Have Been "Eaten" by AI Agents?

Foresight News06/22 07:10

A Guide to Grayscale’s ‘Bottom Fishing’: Using Cash Flow to Assess Cryptocurrency Value

**Title:** Grayscale's Guide to Bottom-Fishing: Valuing Cryptoassets Using Cash Flows **Summary:** This report by Grayscale Research presents a fundamental valuation framework for cryptocurrency assets, moving beyond pure speculation to analyze those with underlying cash flows. It distinguishes between "commodity-like" assets (e.g., Bitcoin) and "cash-flow" assets, primarily within DeFi. Using the leading decentralized lending protocol Aave as a case study, the analysis applies traditional financial methodologies like Discounted Cash Flow (DCF) and Price-to-Earnings (P/E) multiples. Key findings indicate that AAVE tokens are currently undervalued. Despite recent challenges, the protocol's strong revenue growth, ~50% net profit margin, and diversified treasury support a fundamental valuation range of $80-$100 per token (compared to a ~$75 market price at the time of writing). In a base-case scenario driven by stablecoin adoption and regulatory clarity, the fair value could rise to around $175 within a year. The report emphasizes that protocol success does not automatically translate to token value. It critically examines the "value capture" mechanisms—such as buybacks, burns, and staking rewards—that channel protocol profits to token holders. Furthermore, it addresses the legal and governance complexities of Decentralized Autonomous Organizations (DAOs), noting their difference from traditional corporate equity but highlighting how robust, transparent governance can align protocol economics with holder interests. The conclusion is that the crypto market is maturing, with capital increasingly flowing towards projects with demonstrable fundamentals, real adoption, and disciplined capital allocation, creating opportunities for value-based investors.

marsbit06/19 04:23

A Guide to Grayscale’s ‘Bottom Fishing’: Using Cash Flow to Assess Cryptocurrency Value

marsbit06/19 04:23

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