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first_img Tavus claims that the Griffin model causes 48% of video call participants to mistakenly believe they are interacting with a real person

AI startup Tavus released a new model called Griffin on October 1, referring to it as the first "human interaction model" that can understand and generate face-to-face conversations, paying attention not only to wording but also to expressions and pauses. Tavus stated that in tests, after a one-minute video call with Griffin-Lite, 26 out of 54 participants (48%) believed the other party was a real person; its previous generation system only convinced 1 out of 41 participants.Participants were told they would have a one-minute video call with another person to discuss things they were looking forward to this year, and only at the end of the call were they asked if they suspected the other party was not a real person. Tavus noted that those who became suspicious typically noticed within 20 seconds. This result comes from Tavus's own research page, where participants were recruited through a channel they call an independent research platform. Community comments on X pointed out that these results have not been independently verified and do not meet standard protocols.In the NVIDIA VideoFDB benchmark, Tavus claimed Griffin-Lite ranked first, with a generation dimension score of 3.83, the next best system scoring 2.8, and human reference scoring 3.92; the perception dimension score was 3.73, with the strongest baseline at 3.44 and human reference at 4.2. Tavus stated that NVIDIA independently conducted this evaluation. Griffin supports full duplex, allowing it to listen, see, and speak simultaneously, with an average audio-video delay of 0.43 seconds on the NVIDIA H100 chip. Tavus completed a $40 million Series B funding round led by CRV in November 2025.

first_img Core Lightning warns that old version nodes are under attack and urges operators to upgrade immediately

The Core Lightning team, which develops the open-source Bitcoin Lightning Network node software, has issued an urgent alert stating that reports indicate attackers are targeting nodes that have not installed patches, urging operators still running old versions to upgrade immediately. The team stated: "Emergency security update: If you are using version 26.06.7 or earlier, please upgrade to the latest release as soon as possible."Prior to this, Core Lightning began investigating a potential issue that could affect its experimental features and, in turn, impact user funds on September 16, and approximately six days later, version 26.06.8 was released. This update not only fixed several defects but also provided patches for security vulnerabilities reported responsibly by multiple parties, thanking the Bitcoin Red Team and 12 other individuals and organizations in the release notes, while also acknowledging anonymous reporters.According to the changelog, this round of fixes covers a bug that could cause sender nodes to crash, requests that could exhaust REST interface memory, and a vulnerability that could result in user funds facing confiscation losses when closing payment channels. To provide operators with ample upgrade windows and prevent attackers from taking advantage of reverse engineering and exploitation, this version intentionally obscured some testing content. Additionally, in August of this year, the project initiated a collaborative fixing process after reviewing a large number of AI-generated general vulnerability disclosure reports, and two days later released version 26.06.7 to close confirmed vulnerabilities.

The Inner Mongolia police in China are investigating a virtual currency money laundering case that used "free credit card repayment" as bait, involving nearly a thousand accounts

Recently, the police in Baotou, Inner Mongolia, China, investigated a virtual currency money laundering case. The criminal gang used "free credit card repayment" as bait to attract ordinary users to provide accounts. They received illicit funds from overseas gambling and fraud through false consumption, then contacted currency dealers to exchange for virtual currency and transferred it to designated addresses abroad. Through financial and on-chain data analysis, the police identified nearly a thousand involved accounts, with suspects distributed across Inner Mongolia, Shandong, Jiangsu, Hebei, Chongqing, and other regions.The Digital Currency Research Institute of the People's Bank of China stated that it is currently using large model technology to analyze the flow of funds in virtual currency transactions, restore the gang's trading patterns, and uncover clues related to illegal industries. Upon investigation, it was confirmed that seven members of the gang were illegally engaged in payment settlement business without approval from relevant national authorities, constituting the crime of illegal operation, and were sentenced to imprisonment ranging from one year and two months to two years and six months, along with fines.Using virtual currency for money laundering is a new type of money laundering crime that has emerged in recent years. Lv Wei, the president of the Inner Mongolia branch of the People's Bank of China, stated that enhancing the monitoring and identification capabilities for abnormal fund transactions related to virtual currency trading has helped successfully crack down on a major money laundering case involving virtual currency pyramid schemes, dismantling more than ten money laundering and points-running dens, and confiscating illegal gains of approximately 130 million yuan. In recent years, there have been coordinated efforts to promote the conviction and sentencing of four cases involving money laundering using virtual currency, forming a strong deterrent against illegal activities such as money laundering with virtual currency.

first_img Samsung Electronics executive: It is expected that HBM will account for nearly 30% of DRAM wafer production capacity next year

According to a report by the Financial Associated Press citing local media on September 29, Samsung Electronics Executive Vice President Kim Taewoo stated that HBM is expected to account for nearly 30% of the total wafer capacity of DRAM manufacturers next year, up from the current ratio of about 20%. He mentioned that HBM competes with traditional DRAM for the same batch of wafer capacity, and increasing HBM output may squeeze the supply of traditional DRAM.TrendForce previously predicted that by the end of 2027, the HBM wafer input from the three major global HBM suppliers will account for about 30% of the total DRAM wafer input, but in terms of storage capacity, it will only contribute about 13% of the total DRAM supply. Additionally, according to media reports on September 20, Samsung began mass production and shipment of HBM4 in February this year and provided 12-layer HBM4E samples to customers including NVIDIA in May; the industry expects Samsung's monthly wafer input for HBM to increase from about 180,000 wafers this year to about 250,000 wafers next year.On the same day, TrendForce stated that the demand for AI servers continues, and HBM and general DRAM will still share limited advanced process capacity. The storage supply will remain tight in 2027, and the price expectations for HBM in 2027 have been raised, with an expected year-on-year increase of 121% in the mixed average selling price. Due to limited supply and rising system costs, 8-layer HBM is expected to become a priority evaluation option for several manufacturers in 2027, with its price per Gb expected to be about 10% to 20% higher than that of 12-layer products.
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