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Musk: AI may surpass human intelligence within 5 years, and the importance of currency may decline in 10 years

In a 90-minute interview with The Economist, Elon Musk, the founder of Tesla and SpaceX, stated that artificial intelligence could surpass human intelligence levels within the next five years and predicted that in about ten years, AI and robotics might drive the world into a "highly affluent era." Musk believes that once AI systems and robots possess sufficiently powerful digital intelligence and production capabilities, the global economy could approach a state of "infinite supply," making human labor no longer a necessary condition for survival, and the importance of currency may gradually decline.He stated that in the future, if the number of robots is sufficient, society will have a "quasi-infinite economy," where artificial intelligence can produce goods and services that exceed human consumption capacity. He even predicted that by around 2036, the importance of the traditional currency system might significantly decrease. Regarding future economic operating models, Musk mentioned that governments might maintain social operations by directly distributing funds to the public and believes that the productivity improvements brought by AI could lead to deflation rather than inflation.However, regarding issues such as corporate profit models, government fiscal sources, and social transformation, Musk acknowledged that the economic structure in the age of artificial intelligence might differ greatly from traditional economic laws. Additionally, Musk discussed the integration of AI with space development. He indicated that in the future, data centers deployed in space might be used to support AI computing and reiterated the long-term plan for human exploration of Mars. In the interview, Musk also reflected on his previous involvement in the Trump administration's "Department of Government Efficiency" (DOGE). He admitted that he had invested too much energy in the political arena, "got a bit sidetracked," and stated that if he could choose again, he might spend more time on his own companies.

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.

macOS malware can bypass Telegram's two-factor authentication to steal cryptocurrency wallets and account permissions

According to FinanceFeeds, security researchers have discovered an information-stealing malware targeting macOS devices that is attacking cryptocurrency users. This malware can hijack Telegram Desktop sessions, steal passwords and wallet databases, further controlling user accounts and stealing digital assets. Currently affected wallets and applications include software wallets like Exodus, Atomic, Electrum, Wasabi, and Monero.The malware is capable of extracting sensitive information from macOS Keychain, Safari Cookies, Apple Notes, Telegram Desktop, and multiple cryptocurrency wallet-related databases, including login credentials, authenticated session files, wallet data, and browser extension information. Security analysis points out that the danger of this attack chain lies in its reliance not on a single wallet vulnerability, but on collecting various types of data from the device, linking device intrusion, account takeover, wallet cracking, and mnemonic phrase theft together. Among these, Telegram Desktop sessions have become a key target.Attackers can copy authenticated Telegram local session data and restore the login on another Mac device without needing to enter a phone number, verification code, or Telegram two-factor authentication password. This means that Telegram 2FA cannot provide complete protection in this attack scenario, as the attacker is not performing a new login but is exploiting an already trusted local session. For cryptocurrency users, the risks are further amplified. Since Telegram is widely used for exchange customer service, project communities, OTC trading, and wallet communication, once attackers gain access to user session permissions, they could impersonate the victim, read private chats, locate asset information, and even spread malicious links to contacts.
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