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Rani Molla

People aren’t buying iPhones for the new features

Apple’s new iPhone 16 goes on pre-sale tomorrow and the company is hoping the integration of its AI, Apple Intelligence, will drive consumers to upgrade to the latest model. The problem is, people don’t really buy iPhones these days for new features.

Nearly three quarters of people buying iPhones do so because their old phone was obsolete — its battery life has shortened or it’s slowed down, for example — or because their old phone was broken, lost or stolen, according to data from Consumer Intelligence Research Partners (CIRP). Just 18% are people with a working phone who want to upgrade to get the newest features.

That’s potentially bad news for Apple, which has seen its iPhone sales — which account for more than half its revenue —flag in recent years. But it’s good news for consumers, whose phones last a lot longer than they used to. CIRP found that 34% of iPhone buyers had a previous phone that’s three years or older. A decade ago, that was around 6%.

Apple’s new buttons, like incremental changes to camera quality and battery life, are unlikely to change people’s habits. That said, integrating AI at the core of the new iPhone — if it’s done well and proves legitimately useful — could be a different story.

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WSJ: Anduril’s weapons systems have failed during several tests

Autonomous drones by sea, land, and air. Futuristic AI-powered support fighter jets, and swarms of networked drones controlled by sophisticated software. These are some of the visions for the future of warfare pitched by defense tech startup Anduril. Cofounded by Oculus founder Palmer Luckey, the Peter Thiel-backed startup has landed some major national security contracts based on this futuristic outlook for battlefield AI.

But according to a report from The Wall Street Journal, the company’s tech is failing key tests in the real world, raising concerns about the viability and safety of Anduril’s systems within the military command.

Anduril’s Altius drones proved vulnerable to Russian jamming while deployed in Ukraine and have been pulled from the battlefield, per the report.

More than a dozen sea-based drone ships powered by Anduril’s Lattice command and control software recently shut down during a Navy test, creating a hazard for other vessels in the exercise.

And this summer, during a drone intercept test, Anduril’s counter-drone system crashed and caused a 22-acre fire at a California airport, the report found.

Anduril told the WSJ that the failures are just part of its rapid iterative development process:

“We recognize that our highly iterative model of technology development — moving fast, testing constantly, failing often, refining our work, and doing it all over again — can make the job of our critics easier. That is a risk we accept. We do fail… a lot.”

But according to a report from The Wall Street Journal, the company’s tech is failing key tests in the real world, raising concerns about the viability and safety of Anduril’s systems within the military command.

Anduril’s Altius drones proved vulnerable to Russian jamming while deployed in Ukraine and have been pulled from the battlefield, per the report.

More than a dozen sea-based drone ships powered by Anduril’s Lattice command and control software recently shut down during a Navy test, creating a hazard for other vessels in the exercise.

And this summer, during a drone intercept test, Anduril’s counter-drone system crashed and caused a 22-acre fire at a California airport, the report found.

Anduril told the WSJ that the failures are just part of its rapid iterative development process:

“We recognize that our highly iterative model of technology development — moving fast, testing constantly, failing often, refining our work, and doing it all over again — can make the job of our critics easier. That is a risk we accept. We do fail… a lot.”

tech

OpenAI’s partners shouldering $100 billion of debt, taking on all the risk

OpenAI’s ambitious plans for global AI infrastructure projects — like its series of massive Stargate AI data centers — will require tens of billions of dollars funded by debt, but you won’t find much of that on OpenAI’s balance sheet.

According to a new analysis by the Financial Times, OpenAI has somehow convinced its many partners to shoulder at least $100 billion in debt on its behalf, as well as the risks that come with it.

Partners Oracle, SoftBank, CoreWeave, Crusoe, and Blue Owl Capital are all taking on debt in the form of bonds, loans, and credit deals to meet their obligations with OpenAI for infrastructure and computing resources.

Having close ties with OpenAI has been an anchor for many publicly traded companies in recent weeks. The company’s cash burn and the rise of Gemini 3 have seemingly darkened its outlook and fostered guilt by association for many of its close partners and investors. Most notably, Oracle’s aggressive capital expenditure plans to support demand from OpenAI have sparked a sell-off in its stock while widening its credit default swap spreads.

A senior OpenAI executive told the FT: “That’s been kind of the strategy. How does [OpenAI] leverage other people’s balance sheets?”

Partners Oracle, SoftBank, CoreWeave, Crusoe, and Blue Owl Capital are all taking on debt in the form of bonds, loans, and credit deals to meet their obligations with OpenAI for infrastructure and computing resources.

Having close ties with OpenAI has been an anchor for many publicly traded companies in recent weeks. The company’s cash burn and the rise of Gemini 3 have seemingly darkened its outlook and fostered guilt by association for many of its close partners and investors. Most notably, Oracle’s aggressive capital expenditure plans to support demand from OpenAI have sparked a sell-off in its stock while widening its credit default swap spreads.

A senior OpenAI executive told the FT: “That’s been kind of the strategy. How does [OpenAI] leverage other people’s balance sheets?”

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Chinese tech giants are training their models offshore to sidestep US curbs on Nvidia’s chips

Nvidia can’t sell its best AI chips in the world’s second-largest economy. That’s an Nvidia problem. But it’s also a China problem — and it’s one that the region’s tech giants have resorted to solving by training their AI models overseas, according to a new report from the Financial Times.

Citing two people with direct knowledge of the matter, the FT reported that “Alibaba and ByteDance are among the tech groups training their latest large language models in data centers across south-east Asia.” Clusters of data centers have particularly boomed in Singapore and Malaysia, with many of the sites kitted out with Nvidia’s latest architecture.

One exception, per the FT, is DeepSeek, which continues to be trained domestically, having reportedly built up a stockpile of Nvidia chips before the US export ban came into effect.

Last week, Nvidia spiked on the news that the Trump administration was reportedly considering letting the tech giant sell its best Hopper chips — the generation of chips that preceded Blackwell — to China.

Citing two people with direct knowledge of the matter, the FT reported that “Alibaba and ByteDance are among the tech groups training their latest large language models in data centers across south-east Asia.” Clusters of data centers have particularly boomed in Singapore and Malaysia, with many of the sites kitted out with Nvidia’s latest architecture.

One exception, per the FT, is DeepSeek, which continues to be trained domestically, having reportedly built up a stockpile of Nvidia chips before the US export ban came into effect.

Last week, Nvidia spiked on the news that the Trump administration was reportedly considering letting the tech giant sell its best Hopper chips — the generation of chips that preceded Blackwell — to China.

tech
Millie Giles

Alibaba unveils its first AI glasses, taking on Meta directly in the wearables race

Retail and tech giant Alibaba launched its first consumer-ready, AI-powered smart glasses on Thursday, marking its entrance into the growing wearables market.

Announced back in July, the Quark AI glasses just went on sale in the Chinese retailer’s home market, with two versions currently available: the S1, starting at 3,799 Chinese yuan (~$536), and the G1, at 1,899 yuan (~$268) — a considerably lower price than Meta’s $799 Ray-Ban Display glasses, released in September.

tech
Jon Keegan

Musk: Tesla’s Austin Robotaxi fleet to “roughly double” next month, but falls well short of earlier goals

Yesterday, Elon Musk jumped onto a frustrated user’s post on X, who was complaining that they were unable to book a Robotaxi ride in Austin. Musk aimed to reassure the would-be customer that the company was expanding service in the city:

“The Tesla Robotaxi fleet in Austin should roughly double next month,” Musk wrote.

While that sounds impressive, there are reports that Austin has only 29 vehicles in service.

But last month, Musk said the Robotaxi goal was to have “probably 500 or more in the greater Austin area” by the end of the year.

Meanwhile, Google’s Waymo has more than 100 autonomous taxis running in Austin, and 1,000 more in the San Francisco Bay Area.

“The Tesla Robotaxi fleet in Austin should roughly double next month,” Musk wrote.

While that sounds impressive, there are reports that Austin has only 29 vehicles in service.

But last month, Musk said the Robotaxi goal was to have “probably 500 or more in the greater Austin area” by the end of the year.

Meanwhile, Google’s Waymo has more than 100 autonomous taxis running in Austin, and 1,000 more in the San Francisco Bay Area.

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