Threshold Network Token (T) Surge

Key DeFi developer Andre Cronje and two other directors have resigned from the board of Sonic Labs, formerly the Fantom Foundation. The departures raise governance questions for the high-speed EVM scaling project, coinciding with a significant decline in its native token, S/FTM, which trades approximately 97% below its all-time high. Despite the board shake-up, developers state that technical execution and protocol launch timelines remain unaffected. The project's new CEO is focused on operational restructuring. The situation underscores the volatility and governance challenges within the DeFi space, with future stability dependent on transparent leadership and adherence to the technical roadmap.

"Farewell to Speculation: The Graham Moment for the Crypto Industry" The article draws a parallel between today's cryptocurrency market and the speculative, unregulated US stock market of the 1920s. That era lacked mandatory corporate disclosure, enabling rampant manipulation and turning stocks into gambling tools. The 1929 crash led to foundational reforms: the Securities Acts of 1933/34 mandated transparent, audited financial reporting, and Benjamin Graham's "Security Analysis" provided a framework for fundamental valuation. Together, they created modern investing, requiring both reliable data and a methodology to value assets. Similarly, the crypto market is currently driven by narratives and speculation. However, it possesses a key advantage: unlike 1920s corporations, blockchain protocols have inherently transparent, on-chain data for revenue, treasury, and activity. The core obstacle is not transparency, but the lack of legal claim to that value. Due to regulatory uncertainty (primarily the Howey Test), most tokens are deliberately stripped of economic rights like profit-sharing to avoid being classified as securities. This creates a paradox where protocols generate revenue, but token holders have no right to it. The turning point, argues the author, is imminent US legislation. The already-passed GENIUS Act provides a framework for stablecoins. The crucial CLARITY Act, currently in advanced legislative stages, aims to clearly categorize digital assets and define their regulatory treatment (SEC vs. CFTC). This would allow developers to legally design tokens with enforceable economic rights, such as profit distribution. If passed, this would enable a shift from speculation to fundamental investment. Analysis would focus on protocol revenue sustainability, network effects, valuation multiples, and the specific rights encoded in a token's contract—mirroring traditional equity analysis. The article notes significant legislative hurdles and timelines (1-3 years for rulemaking post-passage), but emphasizes the direction is set. A deeper challenge remains: building decentralized, legally enforceable governance and ownership structures to protect token holder rights, akin to corporate law. This will be a core development focus. The transformation applies mainly to revenue-generating protocol tokens, not to assets like Bitcoin (digital gold). The article concludes that the industry's question has evolved from "can tokens create value?" to "who gets to allocate that value?". Solving the latter, as in the 1920s, will mark crypto's transition to a legitimate asset class for fundamental investment.

DeepSeek is transitioning from a secretive research lab to a commercial AI company, marked by a major hiring push and its recent $51 billion funding round at a $400 billion valuation. This signals the start of a new wealth-creation era in China's AI industry, similar to the early days of major internet companies. The article argues that the true opportunity lies not just within DeepSeek, but across the entire burgeoning AI ecosystem—including companies like Zhipu, Moonshot, and Baichuan—which is creating thousands of new jobs. The competition is shifting from building foundational models to developing AI Agents, a field where DeepSeek's new "Harness" team aims to compete globally. For professionals, joining now offers a chance to gain scarce, high-value skills in Agent development and reasoning optimization. For the broader population, the greatest红利 may come from applying AI tools to transform existing industries like design, sales, and education, much like how the internet empowered countless ordinary entrepreneurs. The core message is that a new cycle of wealth creation is opening up, driven by the maturation of the entire AI industry.

SKYAI plummeted 36.2% in 24 hours, hitting monthly lows, with its market cap falling to $238.26M. Despite a 70.85% surge in daily trading volume to $43.16M, the activity was driven by aggressive selling, not buying. Open Interest in derivatives dropped 36.65% to ~$69.66M, indicating traders closed leveraged positions. A modest positive exchange netflow of ~$340.75K signaled some holders moved tokens to exchanges, potentially for future sales. Buyers defended a key support zone around $0.168, preventing an immediate breakdown. However, technical indicators like MACD and Parabolic SAR remained bearish. The token's near-term direction depends on whether this support holds, allowing a potential recovery toward $0.335, or breaks, leading to further declines.

A startup named Vaudit, founded by former Oracle director Michael Hahn, audits AI bills for companies and claims to have identified approximately $1.7 million in overcharges across 60 businesses, totaling $34 million in reviewed bills. The alleged discrepancies primarily involve charges for Anthropic's Claude Code. Common issues cited include billing for newer, more expensive models when older, cheaper ones were used; charging for failed or errored requests; and "retry storms" where AI agents silently retry failed tasks, accumulating costs unnoticed. Major clients like Panasonic, HP, and Honda were among those audited. While Vaudit reports that around 80% of the disputed charges were refunded by providers like Amazon, Google, Microsoft, Anthropic, and OpenAI after申诉, the AI companies largely deny systemic problems. Anthropic stated overcharges do not appear widespread and it does not bill for uncompleted requests or errors, while OpenAI said it found no evidence of such issues affecting its customers. The situation highlights the inherent opacity and complexity of AI billing, which is based on token usage that is difficult to track and predict, especially with multi-agent, multi-model workflows. This complexity is creating a new market for third-party AI bill auditing services like Vaudit, which charges fees based on recovered amounts. Separately, Anthropic faces a proposed class-action lawsuit alleging its high-tier subscription plans deliver far less usage than advertised. The case underscores growing scrutiny over AI service pricing and transparency as major providers prepare for IPOs.