"The exponential continues until it doesn't," says Anthropic President Daniela Amodei, quoting her colleagues. At Anthropic, the team believed every year that this pace couldn't possibly keep up, and yet it did, Amodei says in an interview with CNBC TV. But that's not guaranteed, she adds. Anthropic doesn't know the future either and could be wrong about this assumption.
Economically, things get more complicated, Amodei says (from 15:56). Even if the models keep improving, rolling them out in companies can stall for "human reasons": change management takes time, procurement processes move slowly, and specific use cases often remain unclear. The key question for whether AI is in a bubble comes down to whether the economy can absorb the technology as fast as it's advancing, she suggests.
Tech companies building AI data centers are facing growing opposition from US communities, the Los Angeles Times reports. Between April and June, 20 projects worth $98 billion were blocked or delayed across eleven states: two-thirds of all projects it is tracking, according to Data Center Watch. Residents cite rising electricity costs, water consumption, noise, and loss of farmland.
Real estate firms are now considering selling land over approval concerns. Matthews, North Carolina Mayor John Higdon told the LA Times that politicians backing these projects risk getting voted out. In Indiana alone, more than a dozen projects failed to get permits, says activist Bryce Gustafson. Industry representatives like Dan Diorio from the Data Center Coalition are pushing for better community outreach.
Google engineer says Claude Code built in one hour what her team spent a year on
A senior Google engineer publicly praises Anthropic’s Claude Code: the tool built in one hour what her team spent a year developing. The quality and efficiency gains exceed anything anyone could have imagined, she says. Plus: Claude Code’s creator shares his best workflow tips.
ByteDance's StoryMem gives AI video models a memory so characters stop shapeshifting between scenes
ByteDance tackles one of AI video generation’s most persistent problems: characters that change appearance from scene to scene. The new StoryMem system remembers how characters and environments should look, keeping them consistent throughout an entire story.
OpenAI co-founder and president Greg Brockman has donated $25 million to MAGA Inc., Donald Trump's super PAC, according to a Bloomberg report citing FEC filings. The donation is part of $102 million MAGA Inc. raised in the second half of 2025, bringing its war chest to $294 million by year's end. Three donors accounted for over half: Brockman, crypto exchange Crypto.com ($20 million), and private equity investor Konstantin Sokolov ($11 million).
For days, users have been flooding Grok with pictures of half-naked people, from young women to soccer stars. The problem stems from Grok's image editing feature, which lets users modify people in photos—including swapping their clothes for bikinis or lingerie. All it takes is a simple text command. Now, one user has discovered that Grok even generated such images of children.
X user "Xyless" discovered Grok would generate sexualized images of children. | via X
The discovery forced xAI to respond. The company acknowledged "lapses in safeguards" and said it was "urgently fixing them." Child sexual abuse material is "illegal and prohibited," xAI wrote.
The US Army is establishing a new career track for officers specializing in artificial intelligence and machine learning. Called "49B AI/ML Officer," the new specialization aims to transform the army into a data-driven, AI-capable fighting force.
The first selection round kicks off in January 2026, with retraining scheduled to wrap up by the end of fiscal year 2026. Applicants with advanced academic and technical backgrounds in AI-related fields will have the best shot at getting in. "Ultimately, it's about building a force that can outthink, outpace, and outmaneuver any adversary," says Lt. Col. Orlandon Howard, US Army spokesperson, calling it a "deliberate and crucial step in keeping pace with present and future operational requirements."
Once trained, these officers will focus on speeding up battlefield decision-making, improving logistics, and supporting robotics and autonomous systems. The army is also considering opening the program to warrant officers down the line.
