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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first_img A user claimed that the 50 BTC deposited into Solv Protocol have not been withdrawn for over 2 months

User @neillee99 posted that the approximately 50 BTC held in Solv Protocol cannot be redeemed normally. The user stated that on July 8, 2026, they withdrew about 50 BTC from Binance, which was converted into SolvBTC and BTC+, aiming to earn about 3% annual yield by holding BTC+, without engaging in complex transactions.The user claimed that after the deposit, the minting and redemption functions of BTC+ suddenly paused. On July 13, a security incident occurred with BTC+, and they inquired in the official community on July 18 and July 20, but received no effective response. On July 22, Solv Protocol publicly disclosed the incident and stated that user assets were not harmed. On July 31, the project team announced the restoration of related functions, and staff informed that redemption could be initiated, but their address remained restricted, and the approximately 50 BTC corresponding assets could not be redeemed.The user stated that since July 31, they have continuously communicated through the official Discord, Telegram, and email, submitting materials such as proof of funds, transaction records, and wallet control. There have been about 60 emails exchanged between both parties, with about 50 sent by them. After contacting relevant personnel in September, they still did not receive an effective response. Their request is to lift the restrictions and restore normal redemption, while also stating that they initially came into contact with BTC+ through the BTC earnings-related page of Binance Web3 Wallet, and calling on Solv Protocol, Venus Protocol, and relevant investors and ecosystem parties to pay attention to the progress of the handling.

first_img OpenAI claims to have solved over 100 long-standing open problems in the majority of mathematical fields

OpenAI announced the establishment of an independent advisory group on mathematics and artificial intelligence in collaboration with mathematicians, hosted by the Institute for Advanced Study in Princeton. OpenAI stated that its new internal model, which began training on August 28, has solved the Navier-Stokes Millennium Prize Problem and addressed over 100 long-standing open problems in most areas of mathematics, with progress that surprised its internal mathematicians.The group will provide advice on the review and dissemination of emerging results, academic and professional standards in mathematical research, and how OpenAI tools can support mathematical research and learning. Initial members include François Charles, Camillo De Lellis, Timothy Gowers, Martin Hairer, Nikhil Srivastava, Ulrike Tillmann, Ravi Vakil, Edward Witten, and Melanie Matchett Wood.The group operates independently of OpenAI, and members are not compensated by OpenAI; they can proactively provide advice, comment on its impact on mathematics, and make public recommendations. Previously, mathematicians expressed concerns in an open letter titled "A Severe Misalignment of AI in Mathematics" regarding the use of solving open problems as a benchmark for AI. The group is not responsible for providing advice on the pace of OpenAI's internal mathematical progress.
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