01
TechCrunch AI ↗
Open source AI is booming, according to Hugging Face CEO Clem Delangue. The company has grown into something like a GitHub for AI, where builders can share and download open models and datasets, and it is now used by roughly half the Fortune 500. Delangue said he has seen the same pattern repeat across companies, which often start out renting AI capabilities before eventually building and owning more of their own AI infrastructure.
02
Bloomberg Technology ↗
Zhipu founder Tang Jie argued in an internal staff memo reviewed by Bloomberg that frontier artificial intelligence should remain broadly accessible rather than controlled by a select few, saying genuine security comes from broad participation and oversight rather than technological barriers. In line with that view, Zhipu released its latest model, GLM 5.2, under an open source license free for users to download and commercialize. The comments came shortly after Reuters reported that Beijing was weighing measures to limit overseas access to China's most advanced open source AI models, putting Tang's stance at odds with potential government restrictions.
03
Next Big Future AI ↗
Yipit estimates that Anthropic's annualized revenue run rate has increased to $69 billion. It also noted that the pace of month-over-month growth accelerated compared with May, with the average daily increase rising from approximately $400 million to $550 million.
04
TechMeme ↗
OpenAI, Meta, and SpaceXAI each released new AI models within the past week, and all three are competing on price rather than raw capability. Meta's Muse Spark 1.1 costs about 1.25 to 4.25 dollars per million tokens, roughly a tenth of what Anthropic charges for its Fable 5 model, while SpaceXAI's pricing runs 2 to 6 dollars. By undercutting Anthropic on cost even as their models approach its performance on benchmarks like Terminal Bench, the three companies may pressure Anthropic, seen by many as the current frontrunner, to respond on price.
05
CNBC Technology ↗
Sam Altman and Elon Musk traded jabs on X after Apple filed a lawsuit against OpenAI alleging former employees improperly took trade secrets as OpenAI expands into hardware. Altman suggested Musk was fixated on him following an OpenAI model release earlier in the week.
06
The Verge ↗
Apple's canceled self-driving car effort, known as Project Titan, consumed more than a decade of work and over 10 billion dollars before being scrapped, but the neural processing work it produced became the foundation for Apple's AI chips. According to Mark Gurman, Apple is now preparing an M7 Ultra chip capable of supporting 1,536 gigabytes of unified memory for its first dedicated server hardware, expected around 2028. Apple is also pulling forward its M7 lineup and skipping higher end M6 chips to bring major AI processing gains to customers sooner.
07
CNBC Technology ↗
SK Hynix rose 13 percent on its first day of Nasdaq trading, closing at 168.01 dollars and pushing the memory chip maker past a trillion dollar valuation. The American depositary receipt offering raised 26.5 billion dollars, surpassing Alibaba's 2014 sale to become the largest US IPO by a foreign company. Chairman Chey Tae won told CNBC that demand for high bandwidth memory used in Nvidia AI chips is enormous and shows no sign of slowing, as AI agents and robots require large amounts of memory.
08
BBC Technology ↗
Meta pulled a feature from its new Muse AI image generator days after launch, following widespread backlash. The presets panel let anyone type another user's Instagram handle to directly edit that person's public photos, and all users had been automatically opted in without their knowledge. Privacy International and Hollywood union SAG AFTRA criticized the tool, and Meta said it heard the feedback that the feature missed the mark and removed it.
09
CNBC Technology ↗
Former Intel CEO Pat Gelsinger, now a general partner at Playground Global, told CNBC he views AI demand as almost unlimited, with energy availability as the only real constraint. Chip and data center stocks have swung on news such as Meta's plan to sell off excess AI computing capacity, though executives say underlying demand for compute has not cooled. Nebius chief revenue officer Marc Boroditsky said enterprises are shifting from maximizing AI usage to maximizing value, a trend some are calling valuemaxxing, as companies watch return on investment more closely.
10
Forbes Tech ↗
Starbucks is building its own AI assisted software to replace a Microsoft system that tracks inventory and an IBM platform that manages maintenance, part of an effort to redirect roughly 400 million dollars in enterprise software spending. The move, made more viable by AI assisted development, rattled software stocks, with IBM falling about 3 percent, enterprise workflow vendor Service Now dropping 3.5 percent, and Salesforce sliding 4 percent in premarket trading. Some of the new tools could roll out by the end of next year pending testing, signaling a shift in the traditional build versus buy calculus for large enterprises.