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ai

Artificial Intelligence (AI) in the cryptocurrency field typically refers to the use of machine learning and data analysis techniques to optimize the performance, security, and efficiency of blockchain networks. AI can be used in areas such as the automated execution of smart contracts, transaction pattern recognition, market forecasting, and risk management. By analyzing large amounts of data, AI can provide more accurate market insights and decision support, thereby increasing investment returns and reducing operational risks. The combination of AI and blockchain is expected to drive innovation and development in decentralized applications (DApps).
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first_img U.S. SEC Chairman: Plans to Establish a Framework for Cryptocurrency Asset Custody

The Chairman of the U.S. Securities and Exchange Commission (SEC), Paul Atkins, issued a statement saying that the Commission proposed a plan this week to fill the regulatory gap regarding the custody of cryptocurrency assets by investment advisors and funds, providing a clear custody framework and compliance path for an asset class with increasing client demand.Atkins stated that the existing custody rules under the Investment Advisers Act of 1940 and the Investment Company Act of 1940 were established before the advent of the internet, primarily targeting traditional assets and requiring the use of approved custodians. The custody capabilities for new cryptocurrency assets often lag behind the launch of the assets by several months. This proposal aims to address this issue while updating the custody rules for advisors and regulated funds that have not been revised for decades to align with current industry practices and feedback.The statement noted that this proposal is part of the SEC's regulatory framework for cryptocurrency assets. Related efforts include stopping the replacement of regulation with enforcement, issuing a no-action letter regarding the pilot program for the tokenization of securities by custodial trust companies by December 2025, publishing a classification description for tokenized securities in January 2026, and subsequent initiatives regarding the securities attributes of cryptocurrency assets, broker registration, Regulation Crypto Assets, and innovative exemptions for trading tokenized NMS stocks. Atkins indicated that more regulatory proposals will be forthcoming.

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.

QCP Capital: The current surge in Bitcoin is mainly driven by spot funds, but the current market structure still has vulnerabilities

QCP Capital released the latest market analysis stating that BTC has broken through the previous trading range of $82,500 to $85,700 that lasted for a week, reaching a high of $86,913 during the day, the highest since September 23. It is currently trading around $85,900, up 14.6% from the low of $74,968 on September 15. QCP pointed out that during this round of increase, the annualized funding rate for perpetual contracts was only 5.4%, indicating that the market was mainly driven by spot funds rather than leveraged trading. QCP believes that this round of BTC's rise diverges from traditional macro market signals. In September, the yield on the 30-year U.S. Treasury bond rose to 5.62%, and the 10-year yield reached 5.29% at one point, while gold recorded its worst month of the year. Although rising real interest rates typically put pressure on gold and risk assets, BTC still rose.QCP believes that this market trend is more consistent with concentrated capital trading driven by institutional fund inflows, regulatory catalysts, and technical improvements, rather than purely a currency depreciation trading logic. Regarding institutional funds and regulatory factors, the U.S. Bitcoin spot ETF recorded net inflows of approximately $3.5 billion and $2.6 billion in August and September, respectively. QCP noted that the innovative exemption policy released by the U.S. SEC on September 17 provided a new regulatory catalyst for the market, but since the CLARITY Act failed to pass in the Senate earlier, market structure legislation may be delayed until 2027. Therefore, current regulatory support comes more from the administrative level, and long-term policy certainty remains limited.In the options market, yesterday's options trading nominal amount was approximately $2.5 billion, involving 54 transactions with a nominal amount exceeding $5 million each. Among them, one client sold in batches call options expiring on October 30 with a strike price of $90,000, totaling over 4,000 contracts with a nominal amount of $346 million; at the same time, they actively bought call options with the same strike price expiring on November 27. QCP believes that this operation reflects that some traders are rolling their positions from October to November to position for the U.S. midterm elections, quarterly Treasury refinancing, and market volatility around the December Federal Reserve meeting.On the macroeconomic front, the Federal Reserve will hold a monetary policy meeting from October 27 to 28. QCP stated that after Federal Reserve official Williams said there was no need to rush to adjust policies further, and with the August core PCE coming in below expectations, market expectations for maintaining interest rates in October have warmed. However, the market still expects an approximately 80% probability of a 25 basis point rate hike in December. The U.S. non-farm payroll report for September, to be released tonight, will be an important short-term test, with the market expecting an increase in non-farm payrolls of 84,000 to 93,000, an unemployment rate holding at 4.1%, and an average hourly wage year-on-year growth rate expected to be 3%.On the technical front, the support level of $82,500 has been tested three times in the past week, while $87,400 is the location of the September high and is a key resistance for BTC to further challenge $90,000. The implied volatility term structure in the options market is in a contango state, with a 7-day implied volatility of 30.3 and a 90-day implied volatility of 37.1; the 30-day risk reversal indicator is approximately -2.5 volatility points, indicating an increase in demand for short-term put protection. QCP believes that although BTC shows resilience in a macro environment of rising real interest rates, the market is still mainly driven by capital flows and position changes, and it cannot yet be considered that macro risks have been eliminated. U.S. employment data, Treasury supply, and the intensive policy events in the coming weeks may still trigger market volatility.
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