01
Bloomberg Technology ↗
A Bloomberg feature describes a growing trend nicknamed chatfishing, in which singles feed their dating app conversations into ChatGPT and Claude to write replies, analyze what went wrong, and generate opening lines. A Match Group and Kinsey Institute report found that 26 percent of US adults, and 49 percent of Gen Z daters, have used AI for dating help, from picking photos to drafting full messages. The trend has produced a sharp rise in search interest and a wave of social media confessionals, yet apps such as Hinge and Tinder have done little to address it. Match Group CEO Spencer Rascoff said the company has not focused enough on the issue, noting there is not much it can do about off platform coaching.
02
TechMeme ↗
A federal judge in San Francisco granted final approval on Monday to Anthropic's $1.5 billion settlement with a group of authors who accused the company of using pirated books to train its Claude chatbot, the largest known settlement in a US copyright case. US District Judge Araceli Martinez-Olguin's approval follows preliminary sign off from since retired Judge William Alsup, who had ruled that Anthropic's use of the authors' work for training was fair use but that the company violated their rights by storing more than 7 million pirated books in a central library. Some authors opted out of the deal and continue to pursue separate lawsuits against Anthropic. The case is the first of dozens filed by authors and publishers against AI companies over training data to reach a settlement.
03
CNBC Technology ↗
AMD unveiled Helios, its first rack scale AI system, giving CNBC exclusive access to the setup being built and tested at the company's Texas data center lab. Microsoft has agreed to deploy Helios racks in its Azure data centers, joining earlier customers Meta, OpenAI, Oracle and Tata Consultancy Services. Each rack combines 72 AMD Instinct MI455X GPUs with AMD EPYC Venice CPUs and Pensando networking, and carries a price tag more than $1 million higher than Nvidia's competing Vera Rubin system. The system ships later this year and marks AMD's most direct challenge yet to Nvidia's dominance of the AI hardware market.
04
Bloomberg Technology ↗
Bloomberg reports that Moonshot AI's Kimi K3, a 2.8 trillion parameter open weight model released last week, may matter more for memory demand than for raw computing power. The model uses a hybrid attention architecture that routes each token to 16 of its 896 experts and claims roughly 2.5 times the scaling efficiency of its predecessor, yet its scale still demands far more memory capacity than earlier generations, pointing to sustained demand for chipmakers such as SK Hynix and Samsung Electronics. Traders compared the release to DeepSeek's R1 debut in early 2025, when almost $600 billion was wiped from Nvidia's market value in a single day on fears that AI would require less computing power than expected. Kimi K3's release triggered a similar reaction, pushing semiconductor stocks sharply lower on Friday.
05
Bloomberg Technology ↗
Z.AI, formerly known as Zhipu, has completed a 1 gigawatt data center built entirely on Chinese made chips, a major step in Beijing's push to replace restricted Nvidia silicon for AI development. The facility, enough to power roughly 750,000 homes at any given moment, is now partially operating and is meant to help the company train its GLM models. Z.AI was barred from using US sourced Nvidia chips after being added to the Commerce Department's export blacklist in January 2025, forcing the shift to domestic hardware. Chinese chips still lag Nvidia's in efficiency, meaning the site's gigawatt power draw may translate into less effective training capacity than a similarly sized Nvidia powered facility.
06
TechCrunch AI ↗
The Information reported that Google is developing a new server chip, internally known as Frozen v2, designed to run Gemini models far more efficiently. Anonymous sources cited in the report say the chip could be six to ten times more efficient than Google's existing AI chips, measured by tokens generated per unit of power, with release expected around 2028. Google did not confirm or deny the report, saying only that its teams are constantly experimenting with new innovations for performance and efficiency. The news reflects a broader push among major AI labs to design proprietary silicon and reduce reliance on Nvidia hardware, and it helped lift Alphabet shares roughly 3 percent.
07
Business Insider Tech ↗
OpenAI chair Bret Taylor told CNBC he expects concerns over AI token costs to fade as the market matures, predicting that companies will shift toward paying for outcomes rather than for tokens consumed. Taylor said much of today's tokenomics frustration stems from an immature market, and that within a year CFOs will stop thinking about tokens at all as other companies absorb that complexity. His comments came amid renewed scrutiny of AI costs following Moonshot AI's launch of the Kimi K3 model, though he argued frontier models remain more token efficient than open weight alternatives. Taylor pointed to his own startup, Sierra, which already charges businesses per outcome, such as per loan origination or medical pre-authorization, as an early example of the shift.
08
VentureBeat ↗
Hugging Face's incident response team first asked frontier AI models to help analyze a breach of its production infrastructure, but commercial safety guardrails blocked every forensic query because the models treated real exploit data the same as a live attack. Meanwhile the actual attacker, an autonomous AI agent running the intrusion end to end, moved laterally across Hugging Face's infrastructure for a full weekend undetected. Security experts called it one of the first high profile cases where safety guardrails materially hampered a real incident response, since commercial models generally cannot tell an incident responder from an attacker. Hugging Face disclosed on July 16 that the agent had gained unauthorized access to a limited set of internal datasets and several service credentials, though its software supply chain remained clean.
09
Forbes Tech ↗
Skyfall AI, founded by Sam Pasupalak and Kaheer Suleman, who previously built Maluuba before Microsoft acquired it for about $160 million in 2017, plans to buy a small business to business software or e-commerce company for up to $1 million and run it almost entirely with AI acting as CEO. The system would manage pricing, marketing, customer support, finance and operations while human oversight shifts from daily decisions to strategic accountability. The founders aim to double the acquired company's revenue within six months while publicly documenting successes and failures. Pasupalak said the goal is to prove a truly autonomous business is possible by buying a company and operating the whole thing end to end.
10
AI Business ↗
A new industry consortium has launched an AI Materials Foundry aimed at accelerating the discovery of advanced materials used in chip manufacturing, with founding members including Nvidia, Meta and Samsung. The effort, backed by Jeff Bezos, raised a $450 million Series B round led by Kleiner Perkins and NEA to fund the initiative. The group aims to reduce the chip industry's dependence on rare and hard to source materials such as ruthenium and iridium by combining computing power with materials science research. Nvidia will supply compute infrastructure while Meta's Fundamental AI Research team contributes its Universal Model for Atoms, a frontier chemistry model built for materials discovery.