A trader was liquidated again after going long on crude oil, with total account losses of approximately $2.86 million.
According to Onchain Lens monitoring, roughly 4 hours ago, a Hyperliquid trader’s long position of 47,610 BRENTOIL was liquidated, incurring a loss of approximately $277,600. Six days earlier, another BRENTOIL position held by the same trader was also liquidated, resulting in a loss of about $288,500. The combined loss from these two liquidations totals roughly $566,100, while the trader’s cumulative historical losses stand at around $2.86 million.
27 minutes ago
Prominent trader: Bitcoin remains range-bound and is approaching the bear market low.
Well-known crypto trader Killa stated in a post that when Bitcoin (BTC) enters a new monthly cycle, the market has built up a strong bearish narrative, making a bullish reaction at the start of this month highly probable. He pointed out that based on past price action, BTC typically sees a counter-move when entering a new phase amid pronounced bearish sentiment. This pattern only tends to fail ahead of a major trend shift, such as last November and February and June this year. Killa argues BTC is currently still in range-bound trading, near bear market lows, leaving two possible outcomes: either the price makes one final break below $57,000, or it starts a rally this month and continues trading within the range. Even if BTC declines later, a 2% to 4% rise at the start of this month would better align with the current market structure.
27 minutes ago
A whale withdrew a total of 105.055 BTC from BitMEX, equivalent to roughly $6.66 million.
According to monitoring by Onchain Lens, a newly created wallet withdrew 100 BTC from BitMEX, valued at approximately $6.34 million. Another wallet linked to the same entity received 5.055 BTC, worth around $318,530. Combined, the two withdrawals total 105.055 BTC, with a total value of roughly $6.66 million.
27 minutes ago
AI-assisted vulnerability reports surge, Apple limits the number of submissions from researchers.
According to the Financial Times, Apple’s internal security team has seen a surge in vulnerability reports as numerous researchers use AI models to hunt for software flaws, leading the company to limit the number of vulnerabilities researchers can submit simultaneously in June and impose a 30-day cooling-off period. Apple said some AI-generated reports fabricate security risks, straining its review system.
Italian cybersecurity startup Bynario said it used OpenAI’s ChatGPT to uncover over 50 vulnerabilities in the latest MacBook operating system in three weeks, including a privilege escalation attack chain that could let attackers gain full control of Apple computers. However, due to Apple’s report submission limits, the firm was temporarily unable to file the relevant vulnerabilities. Apple said it has since reached out to Bynario and begun reviewing the findings.
The company noted that every security report still requires manual verification, and it is also using AI internally to categorize the flood of submissions. Researchers can apply for higher submission quotas to ensure critical vulnerabilities reach the security team. Bynario estimates the privilege escalation flaw it discovered could be worth between $100,000 and $200,000 on the cybercriminal black market.
Apple launched a new bug bounty program last year, offering up to $5 million for discovering the most severe and complex threat categories in its software. Apple’s system security update released this week also revealed that tools from Anthropic and OpenAI helped identify multiple device vulnerabilities, with the number of fixes this cycle roughly five times that of previous update periods.
Security firm Sophos noted that AI is boosting the efficiency of real vulnerability discoveries while generating a large volume of low-quality reports, shifting the challenge for bug bounty programs from "finding flaws" to rapid verification, prioritization, and response.
27 minutes ago
Analysts: Trump’s cancellation of the strike on Iran, Saudi diplomatic mediation, and Iran’s mounting pressure may be key factors.
According to CNN, Trump announced the cancellation of planned strikes on Iran, stating that Iran and other Middle Eastern countries had requested a delay. Earlier, sources said Saudi Arabia’s Crown Prince had called Trump to express concerns. Military analyst and former U.S. Air Force Colonel Cedric Leighton believes both Saudi Arabia and Iran have ample reason to avoid further escalation of regional conflict. Leighton noted that Saudi Arabia is facing economic pressure from a potential disruption to the Strait of Hormuz, and as a key U.S. ally in the Gulf, its diplomatic mediation played an important role in Trump’s decision to pause the strikes. He also pointed out that Iran is under pressure from both the Strait’s blockade and economic damage, and after five months of conflict, it may also be seeking time while striving to maintain its survival. “If there is indeed diplomatic pressure from Iran, I think this may reflect that Iran is trying to buy time,” Leighton said. “They are indeed under significant pressure both economically and militarily. But at the same time, I also know that Iran is doing its utmost to survive,” he added.
27 minutes ago
US AI startups race to build low-cost AI alternatives to Chinese AI, but still face financing headwinds.
According to The Wall Street Journal, as Chinese open-weight models such as Kimi, Qwen, and DeepSeek approach top-tier U.S. models at lower costs, Silicon Valley and Washington are growing increasingly concerned that Chinese models could long-term compress the profits of U.S. AI enterprises. U.S. startups including Arcee AI, Reflection AI, and Poolside are racing to develop domestic alternatives to meet user demand for low-cost, downloadable, and customizable models. However, U.S. open-weight model companies face financing difficulties. Some investors question whether freely open models can generate stable revenue, and also worry that related technology could erode the value of their investments in OpenAI and Anthropic. In the first quarter of 2026, AI startups raised a total of $255.5 billion, with nearly two-thirds coming from three funding rounds by OpenAI, Anthropic, and xAI. With limited capital, Arcee AI used 2,048 Nvidia Blackwell B300 chips, completed 33 days of pre-training on an approximately $20 million budget, and launched Trinity Large. The model is still smaller than top-tier models and lags behind OpenAI and Anthropic in multiple benchmarks, but the company plans to develop a larger model via a new round of financing. Nvidia has become a major supporter of the U.S. open AI ecosystem, not only developing the Nemotron series of models but also investing in Reflection AI, Poolside, and Thinking Machines Lab. Industry insiders note that the U.S. open-weight ecosystem is still small, and Chinese models as a whole remain dominant.
27 minutes ago