The trend towards larger AI models continues, with China’s new Kimi K3 model. With its trillions of parameters, it’s just as capable as the best the West has to offer, and it’s cheaper. But it’s not as fast, giving rise to a new battle to balance performance, efficiency, and cost, alongside sovereign control.

The settlement was finally approved by a U.S. federal judge, with a majority of the plaintiffs accepting the amount. A few members of the group refused, citing the small amount compared to the number of infringed titles, and are pursuing a separate lawsuit of their own.

SP6 will draw on what the companies described as Intel’s expertise in disaggregated semiconductor design and advanced packaging.

Chinese AI developer Z.ai (formerly Zhipu) has finished building a 1GW data center stocked exclusively with domestically made chips and has switched part of it on.

TSMC reportedly intends to increase prices of wafers it processes citing demand, rising costs, and increased investments in new capacity.

Intel plans to cut the employee numbers of its Data Center group, months after announcing record growth since its disastrous announcement in 2024.

SMIC’s N+3 process technology can achieve transistor density comparable to TSMC’s N6 without using EUV lithography, but it fails to deliver performance or efficiency of modern production nodes.

Google is developing a server chip, informally dubbed “Frozen v2,” that would etch part of its Gemini model’s architecture directly into the silicon.

Nvidia has just created an antidote to the virus that is AI misinformation. The company’s new Synthetic Video Detector can help broadcasters assess 1080p footage at scale with processing times of just 22ms and up 92% accuracy for uncompressed videos.
Token amplification creates a paradox in the AI economy, as more capable models beget more complicated tasks.