2026-04-23 Четверг

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What Kind of DeFi Does Wall Street Want?

Wall Street's vision for DeFi has shifted from simple asset tokenization to building a programmable, restructurable fixed-income infrastructure that enables yield financialization. The key driver is no longer retail speculation but institutional capital and Real-World Assets (RWA), with DeFi TVL surging from ~$115B to over $237B in 2025, while active wallets declined—indicating large, infrequent institutional inflows. RWA, now valued at $27.5B (up 2.4x YoY), is used as collateral in protocols like Aave Horizon, Maple Finance, and Centrifuge, creating an on-chain repo and rehypothecation flywheel. These structures function like institutional money-market funds, offering 4–6% yields from tokenized treasuries and stablecoin pools. Crucially, institutions are moving beyond holding assets to actively managing yield and risk. Protocols like Pendle Finance allow yield tokenization—splitting assets into Principal Tokens (PT) and Yield Tokens (YT)—enabling fixed-rate exposure, speculation, and on-chain interest rate hedging using mechanisms like yield AMMs. However, major barriers remain: public blockchain transparency exposes positions and liquidation levels, creating adversarial risks, and compliance (KYC, sanctions screening, audit trails) must be natively embedded into protocols—not added externally. Zero-knowledge proofs could offer a solution by enabling regulatory verification without leaking sensitive data. In summary, Wall Street wants a DeFi that integrates with global compliance infrastructure, replicates traditional fixed-income modularity for risk and return, and embeds programmable privacy and regulation—not to replace traditional finance, but to create a parallel system for more flexible capital and risk restructuring.

marsbit04/02 10:31

What Kind of DeFi Does Wall Street Want?

marsbit04/02 10:31

CertiK Releases Cryptocurrency ATM Fraud Report: Losses Reach $330 Million, AI Scams and Cross-Border Money Laundering Emerge as Major Threats

CertiK's "Skynet Cryptocurrency ATM Fraud Report" reveals that losses from such scams reached $330 million in 2025, a 33% year-on-year increase, making it one of the fastest-growing financial crimes in the U.S. The report highlights that these scams have evolved into a highly organized transnational criminal industry, leveraging social engineering and AI technologies. Cryptocurrency ATMs, with 78% located in the U.S., serve as a rapid channel for fraudsters to transfer funds. Victims, often elderly individuals who account for 86% of the losses, are manipulated via phone calls or messages to deposit cash into these machines. The funds are quickly converted into cryptocurrency and transferred to wallets controlled by criminals, making recovery nearly impossible once the transaction is on the blockchain. AI-driven scams, including voice cloning and deepfake videos, have proven 4.5 times more profitable than traditional methods. Criminal networks use automated scripts and employ "smurfing" tactics to bypass transaction limits. The illicit funds are rapidly laundered through mixing services, cross-chain bridges, and decentralized exchanges, often within minutes. The report emphasizes that the only effective intervention point is at the transaction entry level, before funds are on-chain. It calls for enhanced KYC measures, industry-wide intelligence sharing, real-time risk screening, and stronger cross-border law enforcement cooperation to combat this escalating threat.

marsbit04/02 07:36

CertiK Releases Cryptocurrency ATM Fraud Report: Losses Reach $330 Million, AI Scams and Cross-Border Money Laundering Emerge as Major Threats

marsbit04/02 07:36

In the AI Era of Spending $2 to Earn $1, Founders Who Don't Build an IP Are Being Phased Out

In the AI era, founders who neglect building a personal IP are being left behind. Top VC firm a16z now runs an 8-week fellowship program to train storytellers and content creators for its portfolio companies, signaling a strategic shift. Key drivers: - Customer acquisition costs (CAC) have surged 222% over 10 years, with SaaS companies spending $2 to earn $1 in annual revenue. - AI has accelerated product homogenization, shrinking competitive advantages from years to just 3-12 months. - Consumers increasingly trust authentic human voices: 71% distrust AI-heavy brand communication, while 67% pay more for founder-aligned values. Case studies demonstrate the power of founder IP: - Sam Altman’s personal Twitter (4.5M followers) often outperforms OpenAI’s official account, amplifying the company’s narrative and valuation growth. - Perplexity CEO Aravind Srinivas, with zero marketing budget, grew valuation 133x to $21.2B through transparent, direct user engagement. - Midjourney, with just 10-15 employees, achieved $500M revenue by leveraging founder David Holz’s Discord community interactions. - Even non-founder IP like Duolingo’s brand personality (a “crazy” owl) drove user growth from 37M to 117M MAU. However, founder IP is a double-edged sword—Elon Musk’s influence boosted Grok’s market share but also contributed to a 53% drop in Tesla’s brand value due to controversial statements. The conclusion: Product strength is the foundation (the “1”), but founder IP is the multiplier (the “0”). In an era of rising CAC and AI-driven sameness, a founder’s authentic voice is becoming the most efficient growth lever and durable moat.

marsbit04/02 07:05

In the AI Era of Spending $2 to Earn $1, Founders Who Don't Build an IP Are Being Phased Out

marsbit04/02 07:05

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