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Tesla’s robotaxi will be invite-only and have drivers who are not in the car

Objects in mirror may be less exciting than they originally appeared.

Rani Molla

Tesla’s robotaxi launch is still on, but the details are a lot less exciting than they originally seemed, according to a note from Morgan Stanley analyst Adam Jonas, who attended a Tesla session hosted by Head of Investor Relations Travis Axelrod.

Jonas wrote Friday:

“Austin’s a ‘go’ but fleet size will be low. Think 10 to 20 cars. Public roads. Invite only. Plenty of tele-ops to ensure safety levels (‘we can’t screw up’). Still waiting for a date.”

The brief statement confirms a bit of what we already knew from CEO Elon Musk about the service, based on the last earnings call, including that the program would start with 10 to 20 cars and would have remote support, but is also a far cry from what a normal person might have imagined from the “unsupervised, no one in the car, Full Self-Driving” paid public service that CEO Elon Musk has said was supposed to roll out next month.

Let’s go one by one:

10 to 20 cars: The service will start at only a fraction of the size of Google’s 100-car Waymo operation in Austin. Musk has said he plans to “scale it up rapidly” to the point where there will be “millions of Teslas operating autonomously in the second half of next year,” when the program will “become material and affect the bottom line of the company.” Musk also has a history of grossly overestimating Tesla’s future progress, and “millions” is an order of magnitude above 10.

Public roads: These robotaxis will be operating in a geo-fenced area of Austin that Tesla has been training on. That’s very different from Tesla’s stated end goal of having cars autonomously drive their owners around the country and the world. Musk, of course, isn’t advertising it that way: “Because what we’re solving for is a general solution to autonomy, not a city-specific solution for autonomy, once we make it work in a few cities, we can basically make it work in all cities in that legal jurisdiction.”

Invite only: We’ve asked Jonas for more detail on who is included in those invites and what the process is, but suffice it to say that it’s not the same as a public service that anyone can use.

Plenty of tele-ops to ensure safety levels: Musk had previously made it seem like the remote operators would be available only for edge cases. “We do have remote support, but it’s not going to be required for safe operation,” Musk said during the last earnings call. “Every now and then if a car gets stuck or something, someone will like, unlock it.” The need for tele-operators to ensure safety sounds a lot like supervised full self-driving, except the driver is able to pilot the car remotely.

It’s also a bit like Tesla’s Optimus robot, which is likely just copying a human’s exact movements rather than moving on its own.

Still waiting for a date: Musk had originally said June. Then he updated that to the “end of June or July” on the last earnings call. It seems like they don’t actually know yet.

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Report: SpaceX posted $18.5 billion in revenue and a $5 billion loss last year

All eyes on are SpaceX as it prepares for a blockbuster IPO as soon as this summer, and everyone is eager to get a look at the company’s official numbers for the first time.

The Information is reporting that last year, SpaceX posted $18.5 billion in revenue with a $5 billion loss.

According to the report, the numbers reflect the combined finances of SpaceX and xAI, which it acquired in February.

After acquiring xAI, SpaceX’s successful space launch and satellite business may have been dragged down by xAI’s massive data center spending. Earlier this year, Bloomberg reported that xAI had burned through $8 billion in the first nine months of 2025.

According to the report, the numbers reflect the combined finances of SpaceX and xAI, which it acquired in February.

After acquiring xAI, SpaceX’s successful space launch and satellite business may have been dragged down by xAI’s massive data center spending. Earlier this year, Bloomberg reported that xAI had burned through $8 billion in the first nine months of 2025.

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Report: Amazon hopes its Project Houdini modular data center plan is the trick to speed up construction

Amazon is looking for a magic trick that can help it get past data center construction bottlenecks so it can work through the $244 billion worth of cloud computing backlogs it wants to deliver.

It may have just pulled a rabbit out of its hat. (I know, groan.)

Business Insider is reporting that Amazon’s Project Houdini seeks to slash labor costs and installation time by building modular “data halls” — the rows of racks of servers that make up the heart of data centers — in factories, and then shipping them fully assembled on trailers to data center sites.

According to the report, the modular plan would save weeks of construction time and tens of thousands of hours of labor costs.

This week in Amazon’s letter to shareholders, CEO Andy Jassy wrote that the company is planning $200 billion in capital expenditure this year, and that it is embracing its tradition of taking big bets on experiments like Project Houdini:

“You need to invent and experiment like crazy. Many of these experiments will fail, and it might feel like you’re getting nowhere. But, your culture must possess the tenacity to keep at it.”

Business Insider is reporting that Amazon’s Project Houdini seeks to slash labor costs and installation time by building modular “data halls” — the rows of racks of servers that make up the heart of data centers — in factories, and then shipping them fully assembled on trailers to data center sites.

According to the report, the modular plan would save weeks of construction time and tens of thousands of hours of labor costs.

This week in Amazon’s letter to shareholders, CEO Andy Jassy wrote that the company is planning $200 billion in capital expenditure this year, and that it is embracing its tradition of taking big bets on experiments like Project Houdini:

“You need to invent and experiment like crazy. Many of these experiments will fail, and it might feel like you’re getting nowhere. But, your culture must possess the tenacity to keep at it.”

tech

Creator of popular, mysterious “HappyHorse” text-to-video model is Alibaba

AI benchmark leaderboards are often where mysterious new models make their debut, stoking speculation about the unnamed companies behind them.

That was the case with an impressive new text-to-video model named HappyHorse-1.0 that shot to the top of public leaderboards. CNBC reports that Chinese tech giant Alibaba has confirmed that it is the owner of the new model.

HappyHorse beat out the popular Seedance model from rival ByteDance in blind human evaluations to claim the top spot on the Artificial Analysis text-to-video leaderboard.

While OpenAI has announced it is shuttering its text-to-video Sora app, the category continues to see intense competition as a flurry of video models improve with more realistic physics and cinematic effects.

HappyHorse beat out the popular Seedance model from rival ByteDance in blind human evaluations to claim the top spot on the Artificial Analysis text-to-video leaderboard.

While OpenAI has announced it is shuttering its text-to-video Sora app, the category continues to see intense competition as a flurry of video models improve with more realistic physics and cinematic effects.

tech

OpenAI: Our new AI tool is too dangerous to release, too!

This week, Anthropic warned that it had developed a new model that was too dangerous to cybersecurity to be released to the public.

According to a new report, OpenAI is saying similar things about a new cybersecurity tool it is working on (separate from its rumored forthcoming Spud model).

Axios wrote that OpenAI is allowing a small group of partners to test its new AI tool, which has “advanced cybersecurity capabilities.”

The realization that we have arrived at an era of powerful new AI models that could overwhelm current cybersecurity defenses is spooking investors, with cybersecurity stocks like Cloudflare, Zscaler, CrowdStrike, and Palo Alto Networks all down sharply this morning.

Axios wrote that OpenAI is allowing a small group of partners to test its new AI tool, which has “advanced cybersecurity capabilities.”

The realization that we have arrived at an era of powerful new AI models that could overwhelm current cybersecurity defenses is spooking investors, with cybersecurity stocks like Cloudflare, Zscaler, CrowdStrike, and Palo Alto Networks all down sharply this morning.

tech

OpenAI’s Stargate shrinks further as UK data center “paused”

OpenAI’s ambitious Stargate global data center project just got smaller.

First announced at the White House alongside President Trump at the start of his second term, the OpenAI partnership with Oracle and SoftBank sought to build massive data centers around the world, including sites in the UAE, the UK, and Norway.

Bloomberg reports that the company is “pausing” the Stargate UK project, citing high energy costs and regulatory obstacles.

Last month, the company and its partner Oracle scrapped its planned expansion of the Stargate I data center site in Abilene, Texas.

In a statement to Bloomberg, the company said:

“AI compute is foundational to that goal — we continue to explore Stargate UK and will move forward when the right conditions such as regulation and the cost of energy enable long-term infrastructure investment.”

Stargate UK was announced in September, including a partnership with Nvidia and Nscale that would scale up to 31,000 GPUs.

Bloomberg reports that the company is “pausing” the Stargate UK project, citing high energy costs and regulatory obstacles.

Last month, the company and its partner Oracle scrapped its planned expansion of the Stargate I data center site in Abilene, Texas.

In a statement to Bloomberg, the company said:

“AI compute is foundational to that goal — we continue to explore Stargate UK and will move forward when the right conditions such as regulation and the cost of energy enable long-term infrastructure investment.”

Stargate UK was announced in September, including a partnership with Nvidia and Nscale that would scale up to 31,000 GPUs.

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