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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.

Zhao Changpeng: Does not oppose Hyperliquid, welcomes more DEX to participate in competition

Binance founder Changpeng Zhao stated during his appearance on the podcast "When Shift Happens" that he does not oppose Hyperliquid and welcomes more centralized and decentralized trading platforms to participate in innovation, as the industry is far from saturated. He estimates that the proportion of the population holding some form of cryptocurrency is about 5% to 15%, but when calculated based on individual wealth allocation, the penetration rate of cryptocurrency assets may be less than 1%, indicating that the industry is still in its early stages.Changpeng Zhao mentioned that some members of the Hyperliquid community are trying to establish their own community by criticizing centralized trading platforms and Binance, but he views this as normal competition and does not oppose the project. Previously, Trump mentioned Hyperliquid, which is very good for the industry. Assets like HYPE, BNB, and Bitcoin could all benefit from the overall growth of the industry.Changpeng Zhao also pointed out that first movers do not necessarily become the long-term biggest winners. Google, Facebook, and Binance were not the first products in their respective fields, and later entrants can often further optimize based on the groundwork laid by the pioneers. Although he holds a significant amount of Binance shares and BNB, the centralized trading platform is just part of his asset allocation; rather than expanding a single platform, he hopes to promote the growth of the entire cryptocurrency industry.
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