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A Coldcard hardware wallet exploit led to estimated losses of 1,367 BTC ($88.6 million), causing a spike in small Bitcoin transfers as users moved funds to centralized exchanges and other custody methods. In U.S. politics, the Clarity Act faces hurdles with time running out for a Senate vote, amid debates over ethics rules and crypto regulation. Major crypto firms like Coinbase reported disappointing Q2 earnings, while an analyst notes the industry is entering a significant consolidation phase, with revenue concentrating in a few dominant protocols like Hyperliquid and Pump.fun. Bitcoin's price decline continued, though some analysts suggest the market may have bottomed. Other news includes Telegram's legal troubles in Russia and Australia, layoffs at Pump.fun ahead of token distributions, and a White House staffer accused of insider betting leaving his post.

The article analyzes the possibility of TradeXYZ, a dominant project on Hyperliquid's HIP-3 real-world asset (RWA) perpetual contracts market, splitting off to build its own independent trading platform. With TradeXYZ commanding over 90% of HIP-3 volume and over 35% of Hyperliquid's total open interest, its leverage and influence are significant. The primary motive for a split is seen as capturing the underlying protocol fees, of which TradeXYZ currently receives only half. However, several factors strongly discourage such a move. First, replicating Hyperliquid's high-performance infrastructure would be challenging and could degrade TradeXYZ's product quality. Second, Hyperliquid serves as a crucial distribution channel, with most users accessing TradeXYZ's liquidity through its frontend. Third, the close, trusting relationship between the founders of both projects makes a hostile "betrayal" unlikely. The conclusion is that a split would likely result in a lose-lose scenario. Hyperliquid would lose its main growth narrative and see its valuation impacted, while TradeXYZ would face immense technical hurdles, lose its primary user channel, and damage its reputation. Instead of a full separation, the more probable path is for TradeXYZ to negotiate better terms while deepening integration, focusing on enhancing its own brand and user ownership.

Summary: The United States, Japan, and South Korea executed their largest coordinated foreign exchange intervention in nearly 30 years. The action targeted depreciation pressure on the Japanese yen and South Korean won. This move is seen as a significant effort by the US to stabilize the financial markets of its key allies and prevent the spillover of risks. Key details: * Japan reportedly intervened on July 30 using approximately 8.45 trillion yen (about $52.8 billion). South Korean authorities also intervened that day, selling dollars to support the won. * Notably, the US Treasury Department intervened directly in yen markets for the first time in roughly 30 years. The New York Fed, reportedly acting on behalf of the Treasury, sold euros to buy yen via Goldman Sachs and Morgan Stanley on July 31. Analysts view the use of the euro-yen pair as a way to alleviate yen pressure without adding selling pressure to the US dollar. * Prior to the action, the New York Fed conducted "rate checks" on both USD/JPY and EUR/JPY, a newer signaling tool that falls between verbal and physical intervention. The intervention is interpreted as going beyond traditional currency stabilization. Analysts, such as Michael Hartnett of Bank of America, suggest it resembles a "Price Keeping Operation" for the AI era. The core US objectives are perceived to be: 1. Preventing rapid yen depreciation from triggering a sharp rise in Japanese government bond yields. 2. Containing financial stress from spreading across Asian markets like South Korea and Japan. 3. Reducing the risk of disorderly capital flows impacting the US bond market. This coordinated action underscores the importance of Japan and South Korea as critical partners in the US semiconductor and AI supply chain. Stabilizing their financial markets is seen as vital to mitigating risks to the broader tech industry and the US market itself. The intervention coincides with market pressures, including the KOSDAQ index hitting a low since October 2022. While seen as a move to control volatility, some analysts caution it may not fundamentally reverse existing market trends.

Coldcard hardware wallet users are facing a new wave of coordinated attacks targeting a firmware flaw, with researcher Alex Thorn flagging 218 recent transactions moving approximately 389 Bitcoin from potentially impacted addresses. The attack pattern shows a high rate of transactions targeting unique victim addresses, differing from previous waves. The vulnerability, which causes affected devices to generate weaker wallet seeds, is estimated to have impacted over 1,100 wallets, leading to around $90 million in Bitcoin stolen. Thorn advises affected users who control their keys may attempt to move funds with a higher-fee transaction before the attacker's transactions are confirmed.

OpenAI is shifting its business strategy away from promoting its most expensive, flagship models for every task. Recent price cuts—80% for GPT-5.6 Luna and 20% for Terra—signal a deeper change: the company now actively advises users that many tasks don't require the most powerful model. Instead, OpenAI recommends a tiered approach: use the high-end GPT-5.6 Sol for complex planning and analysis, then delegate execution to cheaper models like Luna. This mirrors moves by Anthropic, which recently launched Claude Opus 5 at half the price of its top model, Fable 5. Both companies are de-emphasizing flagship models as primary revenue drivers, using them instead for brand prestige and technological showcases. The industry is entering a "mass-market" phase, similar to automotive, where high-volume, cost-effective models handle daily operations and drive scale. OpenAI's price reductions are partly enabled by AI models themselves optimizing underlying code and infrastructure, creating a self-reinforcing cycle of efficiency gains and cost reduction. Competition is shifting from "who is smartest" to "who offers the best value." The goal is no longer selling individual models but fostering widespread API adoption and ecosystem lock-in. By making AI calls cheap and ubiquitous, companies like OpenAI aim to become the indispensable, utility-like infrastructure powering automated workflows—the "water and electricity" of software, quietly embedded everywhere.