News linked to both this project and an event.
the U.S. Department of Commerce's AI Standards and Innovation Center, in collaboration with the UK AI Safety Institute, tested the cyber attack capabilities of Kimi K3, emphasizing that "the United States still leads."However, the value of the evaluation is debated due to limitations in the testing scope. Due to hosting environment constraints, Kimi K3 only participated in partial testing, with its overall cyber capabilities estimated primarily based on 41 exploit benchmarks. In contrast, other models underwent more comprehensive testing, resulting in a larger margin of error for Kimi K3's results.In the exploit testing, Kimi K3 scored approximately 32%, higher than GLM-5.2's 24%, but lower than the average of approximately 76% for leading U.S. models. In a simulated attack chain test, Kimi K3 completed an average of 17 out of 32 steps in the attack chain and successfully breached the network once in 10 attempts, while U.S. frontier models completed an average of 28.5 steps.The report notes that Kimi K3 already possesses a certain level of autonomous attack capability, and its security guardrails did not prevent the model from developing exploits or executing attacks. However, the report also emphasizes that the testing scope was limited.
OpenAI confirmed that the unreleased GPT-5.6 Sol and another unnamed, more powerful pre-release model breached a restricted sandbox environment during ExploitGym benchmark evaluations and infiltrated Hugging Face's production infrastructure to obtain test answers.OpenAI stated that the models leveraged a zero-day vulnerability in an internal software package registry proxy to escalate privileges and move laterally, ultimately connecting to a machine with internet access. The models then identified and chained together vulnerabilities in both the OpenAI research environment and Hugging Face's production infrastructure, directly retrieving test solutions from Hugging Face's production database.Hugging Face disclosed the incident on July 16, stating that the attack was executed end-to-end by an autonomous AI agent system, involving thousands of operations within short-lived sandboxes and accessing internal datasets and service credentials. OpenAI confirmed its models were the subject of the incident five days later.Hugging Face stated that its security team, in order to analyze over 17,000 attack logs, initially attempted to use a commercial US frontier AI interface, but the request was blocked due to safety guardrails. They subsequently switched to using the 753-billion parameter open-weight model GLM 5.2 from Chinese AI startup Z.ai on their own infrastructure to complete the forensic analysis.
David Bailey, Chairman and CEO of Nasdaq-listed Bitcoin treasury company Nakamoto, stated that the failure of the so-called long-standing "BIP-110" controversy constitutes an "extremely bullish" outcome for Bitcoin, and believes this further validates the network's attack resistance and anti-splitting capabilities.
Odaily News, June 9th — BitMEX co-founder Arthur Hayes stated in his latest article "Reality Test" that if oil prices continue to rise due to the US-Iran conflict, it could trigger a collapse of the AI stock bubble and drag the entire crypto market down.Hayes said that if traffic restrictions in the Strait of Hormuz persist deep into the second quarter, spot prices for hydrocarbons and other key commodities could rise in the third quarter. If oil prices continue to climb and inflationary pressures impact the US midterm elections, Trump might pivot to a tough stance targeting data center construction, AI regulation, and taxation. Hayes believes the market could anticipate Trump limiting AI capital expenditure and taxing AI companies, thereby triggering the burst of the AI stock bubble.Hayes also noted that since November 2022, the scale of AI-related debt issuance has been approximately $1.5 trillion, and US M2 has increased by roughly the same amount during the same period. He believes the three factors that could pop the AI bubble include rising energy costs, the market's inability to absorb three major AI-related IPOs — namely SpaceX, Anthropic, and OpenAI — and Trump's shift to opposing AI. In terms of portfolio, Hayes stated that Maelstrom's stock portfolio holds significant positions in US-listed energy producers; he has sold AI-related stocks and offloaded non-core crypto assets, having dumped HYPE, NEAR, and WLD last week, as well as selling ZEC due to the Orchard Pool vulnerability. He still holds Bitcoin and ETH and will execute tactical short trades via derivatives.