The outflow is thus far believed to be the largest crypto hack to date and the work of North Korea’s Lazarus Group.

As it so happens, I just read in the Hollywood trades that Ocean’s 14 was in development, so George, if you’re reading this: There’s still time for a script rewrite. —Andrew Nusca

Want to send thoughts or suggestions to Data Sheet? Drop a line here.

Uber and Tesla are on a competitive collision course

Uber’s top executive says Elon Musk is unwilling to make Tesla’s planned robo-taxis available on his ride-hailing company’s platform.

“They want to build it alone, so to some extent in Austin, we and Waymo will be competing with Tesla when they launch,” CEO Dara Khosrowshahi said Friday at the FII conference in Miami. 

Uber and Alphabet-owned Waymo are currently working together on robo-taxi service in Phoenix and announced in September an expansion to Austin and Atlanta in “early 2025” using all-electric Jaguar I-Pace vehicles.

Meanwhile, CEO Elon Musk pledged to investors during a call last month that Tesla would begin its own robo-taxi service in Austin in June using its self-driving-equipped consumer models (e.g. Models 3 and Y) rather than the Cybercab it announced in October.

There are several factors to consider in the Texas ventures. 

For Uber, investor pressure on its human driver-heavy business model means the company (and rival Lyft) is chasing an autonomous future; it has entered into several partnerships—as well as made investments—in recent years to facilitate it. 

For Tesla, there is skepticism that the company will fulfill its lofty promises (Musk previously promised a million robo-taxis on the road by 2020), actually have its self-driving tech ready for use, and be able to supply the service with enough demand to support it. 

“We estimate that the U.S. market alone is a trillion-dollar opportunity as you commercialize [autonomous vehicles] at scale and bring the unit economics down,” Khosrowshahi said during a call with investors earlier this month. And when that happens? “You're going to see many, many more players get over the finish line.” —AN

U.S. chip suppliers sound alarm over trade war with China

For years, the U.S. chip sector complained that Washington’s chip controls would hurt their business and spur the creation of a Chinese competitor—yet these warnings rang hollow as revenue kept hitting records thanks to the AI boom. 

But recent earnings reports from equipment manufacturers show the U.S.’s broadside against China’s chip sector may be starting to bite.

Applied Materials, the largest U.S. chip equipment manufacturer, issued a lukewarm revenue forecast last week, citing the risk of new export controls from Washington. Revenue from China, the company’s largest market, dropped 25% in the most recent quarter to reach $2.2 billion.

Meanwhile Lam Research’s China revenue over the last three months of 2024 dropped 10% year on year to reach $1.4 billion. “Our sales to customers in China, a significant region for us, have been impacted and are likely to be materially and adversely affected by export license requirements and other regulatory changes, or other governmental actions in the course of the trade relationship between the U.S. and China,” it warned.

Equipment manufacturers, for now, are still reporting an increase in overall revenue thanks to the AI boom. But analysts warn these companies will sorely miss what China has: a lot of semiconductor manufacturing, and a consumer market eager to snap up the products that use those chips. 

“China is not just a semiconductor manufacturing hub,” says Bain & Company partner Moonsup Shin. “Around or more than 50% of the semiconductors manufactured by Chinese manufacturers are consumed in China.”

Worse, there’s no ready-made alternative waiting. Though regions like Southeast Asia are investing in local manufacturing to position themselves as neutral territory in a chip war, in practice, these up-and-comers lack both China’s manufacturing and consumer demand. —Lionel Lim

DeepSeek lets anyone access or add to its AI code

China’s DeepSeek released its market-roiling models as “open source,” but that term hits different in the AI world. Sure, DeepSeek allows free use and modification of the models, but it’s not like they published the code.

Well, now they say they’re going to. DeepSeek announced Friday that it would be open-sourcing five of its code and data repositories, starting this week.

“These humble building blocks in our online service have been documented, deployed and battle-tested in production,” it said. “As part of the open-source community, we believe that every line shared becomes collective momentum that accelerates the journey. Daily unlocks are coming soon. No ivory towers—just pure garage-energy and community-driven innovation.”

What does this mean for the projects that have been trying to replicate what DeepSeek achieved (i.e. low-cost training, with a novel technique for squeezing the smarts of a big AI model into a much smaller model)? That depends on what exactly DeepSeek releases.

“We will be very excited if DeepSeek open-source their reinforcement learning pipeline as the community is still grappling with several technical challenges such as figuring out how to scale the training to very large models,” Lewis Tunstall, a Hugging Face researcher who’s working on the Open-R1 project, told me.

“It's unclear whether they will be open-sourcing code for inference or training (or something else entirely), but in either case it's a net win for the open source community!” Tunstall added. “In general, open-source benefits from having multiple approaches to the same problem.” —David Meyer

More data

—Apple to move manufacturing from Mexico to U.S., according to President Donald Trump.

—Shein pressured to slash $66B valuation. Annual sales of $38 billion came in below forecast.

—Google prices Veo 2 AI video model: $0.50 per second of generated video.

—AMD in talks to sell server plants. The facilities, inherited through its ZT Systems acquisition, could fetch $4 billion.

—Amazon values $8B Anthropic stake at $14B. Its own fair value estimate as of December.

—OpenAI revenue to nearly triple in 2025. From $3.7 billion to more than $12 billion, it reportedly told investors.

—SEC approves yield-bearing stablecoin. YLDs is the first to register as a security, Figure Markets says.

—Alibaba pledges $53B AI infrastructure investment. Over the next three years.

—Nissan may seek Tesla investment in the way of a plant sale, sending its shares way up.

Endstop triggered