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The U.S. CFTC Innovation Advisory Committee will first discuss the regulation of crypto assets, AI, and prediction markets

The U.S. Commodity Futures Trading Commission (CFTC) has announced the agenda for the inaugural meeting of the Innovation Advisory Committee (IAC). The committee will hold its first meeting on August 20, focusing on regulatory issues in emerging areas such as crypto assets, artificial intelligence, and prediction markets.CFTC Chairman Michael S. Selig stated that the U.S. has long been a global center for financial innovation and hopes to explore how emerging technologies and financial products can drive market development through discussions with innovative entrepreneurs, researchers, and industry builders, and to jointly explore the "new frontiers of finance." The meeting will be live-streamed on the CFTC official website. Committee members and attendees will discuss topics such as the regulatory framework for digital assets, the impact of AI technology on financial markets, and the development of prediction markets. The public can submit relevant opinions by August 27, and these opinions will be publicly released through the U.S. Federal Regulations website Regulations.gov. The CFTC indicated that the meeting agenda may be adjusted based on the committee's subsequent focus.The Innovation Advisory Committee aims to provide the CFTC with recommendations on emerging technologies, financial products, and trends in market innovation, covering important areas such as digital assets and artificial intelligence that may influence the structure of future financial markets.

hot_img The U.S. Department of Commerce invests $874 million in seven semiconductor companies, betting on seven underlying technologies for the post-GPU era

On July 29, the U.S. Department of Commerce signed letters of intent with seven companies, totaling up to $874 million, to support seven "post-GPU era" underlying technology routes such as CPO, ferroelectric memory, and 3D packaging in the form of equity investments. This marks a shift in the U.S. chip strategy from "capacity reshoring" to "technology route selection."The seven companies and their technology directions include: GlobalFoundries (CPO silicon photonic integration, $300 million), Kepler Computing (ferroelectric 3D memory, $245 million), Multibeam (multi-electron beam direct-write lithography and advanced packaging, $140 million), Extropic (thermodynamic sampling unit TSU, $75 million), Thintronics (ultra-low loss dielectric materials, $50 million), Aeluma (large-size phosphorus-free optoelectronic device substrates, $30 million), and OBSIDIA (hardware zero-trust chip anti-counterfeiting, $34 million). All companies are required to provide non-controlling minority equity to the U.S. government.This move shows that the funding usage of the CHIPS Act is shifting from subsidizing wafer fabs to directly holding equity in cutting-edge technology companies with national capital, in order to secure rule-making authority in the post-Moore era.

hot_img Alibaba plans to charge revenue sharing from commercial customers of open-source AI models, emulating the Kimi K3 model of the Dark Side of the Moon

According to Reuters, Alibaba plans to require its next-generation Qwen open-source AI model's heavy commercial users to share a portion of their revenue with it. This initiative is similar to the approach taken by Moonlight Dark Side with Kimi K3: the licensing terms for Kimi K3 stipulate that if the model is sold as a service and the annual revenue exceeds $20 million, a commercial agreement must be negotiated with Moonlight Dark Side, with reports suggesting a revenue-sharing ratio of up to 30%. The specific revenue-sharing ratio for Alibaba is still under discussion.The report points out that such revenue-sharing agreements have gradually taken shape between Chinese AI companies and American cloud platforms. Several American cloud providers, including DigitalOcean, have signed commercial agreements with Moonlight Dark Side. In terms of pricing, the input/output token price for Kimi K3 is about one-third that of the Anthropic Fable model. Additionally, Thinking Machines Lab, founded by former OpenAI CTO Mira Murati, has also joined the open-source camp and released its first open-source model last month. This move signifies that Chinese AI companies are exploring sustainable commercialization paths on open-source models through a "free open-source + commercial charging" freemium model.
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