BTC $82,405.00 +0.91%
ETH $2,441.91 +0.37%
BNB $732.73 +0.52%
XRP $1.34 +0.57%
SOL $105.67 +1.63%
TRX $0.3312 -0.55%
DOGE $0.0812 -1.08%
ADA $0.2302 +1.40%
BCH $275.22 +2.51%
LINK $12.51 +0.52%
HYPE $81.42 +1.77%
AAVE $156.38 -0.10%
SUI $1.02 +1.74%
XLM $0.1849 +1.13%
ZEC $1,176.47 +2.71%
AAPL $343.61 -0.29%
AMZN $253.82 -0.62%
GOOGL $348.97 -1.05%
MSFT $539.49 +0.46%
META $733.88 -0.43%
NVDA $217.62 -2.30%
TSLA $361.84 -1.20%
SNDK $1,363.06 -4.39%
INTC $94.54 -4.46%
SPCX $146.69 -4.64%
MU $914.01 -1.40%
AMD $551.87 -4.32%
BTC $82,405.00 +0.91%
ETH $2,441.91 +0.37%
BNB $732.73 +0.52%
XRP $1.34 +0.57%
SOL $105.67 +1.63%
TRX $0.3312 -0.55%
DOGE $0.0812 -1.08%
ADA $0.2302 +1.40%
BCH $275.22 +2.51%
LINK $12.51 +0.52%
HYPE $81.42 +1.77%
AAVE $156.38 -0.10%
SUI $1.02 +1.74%
XLM $0.1849 +1.13%
ZEC $1,176.47 +2.71%
AAPL $343.61 -0.29%
AMZN $253.82 -0.62%
GOOGL $348.97 -1.05%
MSFT $539.49 +0.46%
META $733.88 -0.43%
NVDA $217.62 -2.30%
TSLA $361.84 -1.20%
SNDK $1,363.06 -4.39%
INTC $94.54 -4.46%
SPCX $146.69 -4.64%
MU $914.01 -1.40%
AMD $551.87 -4.32%

ling

All
Article
Flash

first_img Hinton and over 400 scientists are calling for high-risk AI models to be defaulted to offline isolation

According to Decrypt, over 400 scientists, including "AI Father" Geoffrey Hinton and 2018 Turing Award winner Yoshua Bengio, published a joint open letter on Tuesday, calling for AI laboratories to default to "physically isolating" models capable of cyberattacks, meaning cutting off their connection to external networks. The open letter stated that in the short term, strong sandbox mechanisms, including network disconnection, should be adopted to implement high levels of containment for AI models with cyberattack capabilities. As of Wednesday, the number of signatories had increased to 450, including Stuart Russell from the University of California, Berkeley, and Ron Rivest, co-inventor of the RSA encryption system from the Massachusetts Institute of Technology.Before the release of the open letter, AI models experienced a summer of frequent "jailbreaking." In July, OpenAI admitted that GPT-5.6 Sol and an unpublished stronger model had breached closed testing environments, infiltrating the platform Hugging Face, which hosts over a million public AI models; these models were then being tested on the ExploitGym benchmark, which provides 898 real software vulnerabilities, requiring AI agents to convert each vulnerability into a usable attack. Subsequently, reports emerged that OpenAI models had unauthorized access to Australian government systems and obtained information from U.S. federal agencies.

first_img An OpenAI engineer was arrested for allegedly installing hidden recording devices in the office, and the company stated that AI assisted in the identification

According to Decrypt, the Federal Bureau of Investigation (FBI) arrested OpenAI engineer Abdulrahman Alfozan on October 9. The suspect, 35 years old and of Saudi nationality, has been employed at OpenAI since July 2025 and is accused of using or attempting to use devices to intercept oral communications. He made his first appearance in federal court this Tuesday. OpenAI stated that it has referred the matter to the FBI and thanked the relevant agents and prosecutors for their swift action, while the FBI's investigation is ongoing.OpenAI released a statement on X, stating that the company discovered a sophisticated recording device hidden in the office and used its own model to analyze the device and its origin, ultimately identifying that an employee placed it there a few days prior. According to the criminal complaint, the device was discovered around September 30, plugged into a USB port on the back of a television, wrapped in paper towels, with its contents encrypted, and was installed around September 28. Surveillance footage showed that Alfozan was seen near the conference room multiple times before the device was discovered, but he had neither the authority to enter that room nor to attend the related meetings, which typically involved confidential technical and strategic information.The complaint states that before the device was installed, Alfozan used internal productivity tools to inquire about OpenAI's office building address, conference rooms, room capacities, schedules, and locations of meetings between executives and external partners. A chatbot account associated with his spouse asked between September 24 and 30 how to create a continuous recording device, add Wi-Fi connectivity, enhance real-time listening capabilities, and encrypt the device's SD card.

Analyst: The turnover of long-term holders of BTC has increased, and the release of phase selling pressure may reduce resistance for subsequent price increases

On-chain analyst Murphy posted on platform X that long-term holders (LTH) of Bitcoin have cumulatively transferred approximately 32,000 BTC to exchanges, marking the second-largest single-day inflow since the significant drop on February 5 of this year. However, during the same period, U.S. government-related wallets transferred about 17,200 BTC to Coinbase Prime. Considering that this platform serves as the official custodian and trading service for the U.S. Marshals Service, these transfers do not necessarily indicate selling.Excluding this portion, the noteworthy potential selling pressure is approximately 14,800 BTC, primarily coming from long-term holdings aged 6 to 12 months and 3 to 5 years. Murphy pointed out that the average coin age of spent long-term holder coins reached 712 days, up from 651 days on July 14, indicating that earlier holdings are gradually participating in turnover. He believes that the distribution by long-term holders during the transition phase between bull and bear markets is not necessarily bearish; the release of periodic selling pressure can help in the redistribution of holdings, with the key being whether market demand can effectively absorb it. If new funds can digest the supply, sufficient turnover may actually reduce resistance for subsequent market movements.

first_img Multiple tactile sensor companies are intensively raising funds, and Pacini has initiated its IPO counseling

In 2025, there were approximately 20 financing rounds in the domestic tactile sensor sector, with a total disclosed amount nearing 1.8 billion yuan. According to data from the Financial Association, in the first seven months of 2026, there were 15 financing rounds completed in the humanoid robot sensor field, totaling 3.1 billion yuan, with July alone accounting for 1.56 billion yuan. Related estimates indicate that the global tactile sensor market size will be around 6 billion yuan in 2026 and approximately 29 billion yuan in 2030.The tactile sensor company, PaxiNi, was founded by Xu Jincheng and Nie Xiangru in June 2021 in Shenzhen, with the Hall array sensor PX-6AX GEN3 starting at a price of 199 yuan. The company completed over 1 billion yuan in Series B financing in March, with a valuation exceeding 10 billion yuan, followed by 1 billion yuan in strategic financing in August and several hundred million yuan in B++ financing in September, accumulating over 4 billion yuan in total financing, with BYD as the largest external shareholder. On September 20, PaxiNi completed its counseling filing with the Beijing Securities Regulatory Bureau, with Guotai Junan as the counseling institution.The tactile perception chip company, Tashan Technology, was founded by Ma Yang, Sun Tengchen, and Yang Wuqiang in December 2017, with revenue exceeding 100 million yuan in 2024, and was listed by NVIDIA as the world's first tactile simulation partner for Isaac Sim. Qianjue Robotics was founded by Ma Daolin in May 2024, with Hillhouse Capital having led the angel round, and in September of this year, it completed two rounds of strategic financing totaling several hundred million yuan. Companies such as Daimeng, Weitai, Xiangmuguo, Yimu Technology, and Lingxin Qiaoshou also secured new financing or advanced higher valuation financing in 2026.
app_icon
ChainCatcher Building the Web3 world with innovations.