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OpenAI's internal model has been revealed to autonomously solve mathematical problems and bypass the sandbox, with internal testing exceeding two months

According to external disclosure information, OpenAI has been internally running an unreleased model. This model, without the aid of tools like Lean, solves the unit distance problem with a 48% probability through a single autonomous inference and can independently find a counterexample to the Jacobian conjecture based on a single prompt. In security testing, this model has bypassed the sandbox environment and submitted results that should have been released internally to GitHub in the form of a Pull Request, and it has evaded detection by splitting authentication tokens. Relevant code records show that OpenAI began benchmarking this model no later than May 9, and its internal availability has exceeded 2.5 months.Previously, OpenAI and Hugging Face jointly disclosed that last week this model breached Hugging Face's production infrastructure during a network capability assessment. The model gained internet access through a zero-day vulnerability and obtained testing solutions by stealing credentials and exploiting remote code execution paths. OpenAI stated that this incident indicates the network attack capabilities of advanced models have been effective in real-world scenarios, and they are collaborating with Hugging Face to investigate and patch the vulnerabilities. Currently, OpenAI has not publicly commented on this matter.

Zhao Changpeng: AI cannot solve the inflation problem, Bitcoin has unique value storage properties

Binance founder CZ recently posted on social media that artificial intelligence (AI) and Bitcoin (BTC) serve different functions; AI drives productivity improvements, while Bitcoin is used to combat inflation and protect wealth. CZ stated, "AI is great, but it cannot protect you from the effects of inflation; Bitcoin can."CZ believes that the market often views AI and Bitcoin as two major hot investment themes, but their natures are fundamentally different. AI is a technology that enhances business efficiency and economic productivity, while Bitcoin is a digital asset with a fixed supply. He pointed out that the AI industry is rapidly developing, with global companies continuously investing billions of dollars in AI software, data centers, chips, and other infrastructure, driving transformations in various sectors such as healthcare, finance, and manufacturing. However, AI companies can issue more shares and raise funds for expansion, and their investment value still depends on business performance and market competition. In contrast, Bitcoin has a total fixed supply of 21 million coins, and holders possess a non-dilutable scarce asset. CZ believes this characteristic gives Bitcoin long-term value storage properties, providing protection when the purchasing power of fiat currency declines due to inflation.CZ has also previously stated that the AI boom may attract some funds that would have originally flowed into the Bitcoin market. As AI companies like OpenAI and Anthropic gain more capital attention, some investors may sell other assets to allocate to AI-related investments. However, CZ believes that AI and Bitcoin are not in competition; rather, they should be viewed as complementary assets: AI drives technological advancement and productivity improvements, while Bitcoin offers a way to store value that is unaffected by supply expansion.

Galaxy: The structural issues in strategy have not yet been fully resolved, and it is necessary to explore ways to generate income from its BTC holdings

Galaxy Research Director Alex Thorn stated that the capital management adjustments announced by Strategy on Monday mark an important turning point. In the weeks prior, the "digital credit" system of Strategy's preferred shares faced pressure, with the preferred share STRC falling below its $100 par value and hitting a historical low of $71.25 on June 26, leading the market to question how the company would pay the increasingly high preferred share dividends.Strategy subsequently announced a new digital credit capital framework, including a board-approved dollar reserve policy, a revised STRC dividend policy, a $1 billion preferred securities repurchase authorization, a $1 billion MSTR common stock repurchase authorization, and a BTC monetization plan. At the same time, the board raised the annual dividend rate of STRC from 11.5% to 12%, applicable to semi-monthly dividends for record dates on or after July 1. Following the announcement, MSTR rose 12.6% to about $92.70 on Monday, while STRC increased by 12.2% to about $83.70.Thorn believes that Strategy's approach is wise, but it may not permanently resolve structural issues. The company still has a large preferred share system and ongoing payment obligations, and it will face $6.7 billion in convertible bonds maturing in 2027 and 2028. The market is not truly concerned about Strategy's lack of assets, but rather whether it has sufficient dollar liquidity to pay dividends without harming BTC holders, MSTR common stock shareholders, or preferred shareholders. By raising over $1 billion in cash through the sale of common stock, setting a minimum cash reserve policy for 12 months, and increasing the current cash coverage ratio to about 17 months, Strategy has bought itself time.The most controversial aspect is the BTC monetization plan, which seems to clearly indicate that Strategy may sell BTC from time to time. Thorn does not want to see Strategy sell Bitcoin, as the company's identity and the MSTR premium are built on its narrative as a long-term BTC exposure tool, and selling BTC would undermine that story.However, he also believes that if selling a small amount of BTC can prevent a disorderly spiral in the capital structure, protect preferred shares, and wait for a better market environment, this path can be justified. Strategy should explore how to generate income from its BTC assets without directly selling spot BTC, including conservatively lending a small amount of isolated BTC or using options strategies to capture volatility gains.

a16z Crypto: The prediction market still needs to solve the problems of manipulation risks and information bias

a16z Crypto published an article analyzing the unique value and challenges faced by prediction markets. Prediction markets allow participants to trade on the outcomes of events, aggregating dispersed information through price signals to provide real-time estimates of the probabilities of future events. Unlike traditional polls, prediction markets have the ability to update in real-time and incentivize participants to bet their capital on their information, thereby improving prediction accuracy.The article points out that prediction markets are used not only by companies for product launches and research experiment forecasts but also by the media as a source of "crowd wisdom," covering a wide range of events from geopolitical issues to AI model performance. Its core advantage lies in providing independent probability estimates for specific events, rather than relying on indirect signals from overall asset price movements. However, prediction markets still face challenges related to infrastructure and market design, including event verification, contract settlement, participant information adequacy, and potential manipulation risks.a16z believes that if these issues are resolved, prediction markets are expected to become important tools for decision-making and information aggregation, expanding financial and societal insights into future events.

White House Advisor: Multiple differences in the "Clarity Act" are gradually being resolved, and the compromise plan for stablecoin yields is expected to be maintained

Patrick Witte, the Executive Director of the White House Digital Assets Presidential Advisory Committee, stated on Monday that substantive progress is being made in Senate negotiations surrounding the Clarity Act, with a compromise reached on the issue of stablecoin yields expected to hold, and the focus of negotiations has shifted to other unresolved topics.The issue of stablecoin yields was previously the biggest obstacle to advancing the bill. Banking lobbyists successfully persuaded some senators that providing yields similar to bank interest to stablecoin holders would threaten the traditional banking deposit base, causing the bill to reach an impasse. Witte stated, "We hope that the compromise reached will be durable and stable. Resolving this issue is a prerequisite for advancing other pending matters." Last week, the White House economic advisors released a report downplaying the risk concerns raised by the banking industry; in response, the American Bankers Association rebutted on Monday, claiming the White House's arguments were flawed.In addition to stablecoin yields, the bill also faces several disagreements, including illegal financial protection mechanisms in the DeFi space and a demand from Democrats to prohibit senior government officials (specifically targeting President Trump) from profiting from the crypto industry. Witte did not disclose which topics have reached consensus but indicated that negotiations have "made considerable progress behind the scenes," stating, "We are very close to comprehensively resolving these issues." The Clarity Act still needs to go through the Senate Banking Committee's markup review process before being submitted for a full Senate vote. Witte expressed optimism about reaching a final agreement, noting that many issues that previously seemed stuck have gradually been resolved.
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