TradingKey — According to a report from The Information citing two people familiar with the matter, Google (GOOGL) is developing a new server chip capable of directly embedding the underlying architecture of the Gemini large model into the chip hardware to significantly enhance the operational efficiency of AI services for users. Internally codenamed “Frozen v2,” this AI inference chip directly addresses Google’s current severe shortage of AI computing power. Sources revealed that the computing capacity gap has triggered internal resource conflicts and even forced Google Cloud to reject numerous orders from external customers. The research and development team estimates that once the chip is officially deployed, the number of tokens processed per unit of power consumption will be 6 to 10 times that of the latest generation of Google’s existing self-developed AI chips.

Gelonghui, July 13 | According to Science and Technology Daily, the surge in AI technology has driven strong demand for advanced chips, yet global chip supply remains constrained by the technology and production capacity of only a few companies. In a recent report, Forbes.com noted that as emerging technologies continue to rise, the global approach to manufacturing cutting-edge chips is expected to undergo a major transformation by 2030. Although extreme ultraviolet (EUV) lithography is currently dominant, it is not the only method for ‘drawing’ microscopic transistors onto silicon wafers. A new generation of forward-looking lithography technologies is poised to emerge, potentially replacing EUV lithography and reshaping how advanced chips are manufactured. Atomic lithography abandons ‘light’ and instead

On Thursday, the singer Ella “Lorde” O’Connor took to Instagram to share a screenshot of the “About the Song” summary of one of her songs. In the screenshot, the AI feature can be seen declaring that “on her Ultrasound World Tour, Lorde turns Current Affairs,” a song off of O’Connor’s most recent album, “into a full-on performance piece, stripping down to underwear while a dancer pours water over her stomach so the song plays out like the shower scene she talks about on stage.” According to a blurb at the bottom of the summary, it drew information from the Australian outlet The Music, which reviewed O’Connor’s tour.

But according to O’Connor’s Instagram story, this isn’t true — that performance happens in her show, but in a different song. There was an inaccuracy in The Music’s review, and that made its way into Spotify’s AI summary.

“Not only is this inaccurate (not the song I did that in),” O’Connor wrote in the caption of the Instagram story, “but reducing a song to an AI-generated meaning right at the source feels like it limits free interpretation [in my opinion]. At least make it possible for artists to opt out please.”