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Tesla and SpaceX Terafab unveil screenshot
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What we know about Tesla’s Terafab, the “most epic chip-building exercise in history by far”

The SpaceX and Tesla collab would be “bigger than everything else combined” in Giga Texas.

With Tesla’s Terafab project, the company is stepping into uncharted territory. Not only is it planning what could be the largest semiconductor fabrication plant in the world, it’s doing so with virtually no experience in chip manufacturing. Its ambitions are literally out of this world: Tesla has described it as a step toward “becoming a galactic civilization.”

Here’s what we know so far.

Who: Tesla and SpaceX, as well as its subsidiary xAI, will jointly run Terafab. It’s the latest example that Elon Musk, who is CEO of all three companies, increasingly views them as part of the same entity.

What: Terafab aims to bring all aspects of chip production — from design to fabrication to packaging — under one roof. Musk said the facility is intended to produce up to 1 terawatt of compute annually. The plant would manufacture inference chips for Tesla’s Robotaxis and Optimus robots, as well as custom AI chips for space-based applications, including solar-powered AI satellites. Morgan Stanley estimates the project could cost $35 billion to $45 billion in capital expenditure, likely shared between Tesla and SpaceX.

Where: Early reports suggested Terafab could be located on the north side of Tesla’s Giga Texas facility, based on a slide Musk presented showing an “Advanced Technology Fab” there. But Musk later clarified that this referred only to a smaller facility for iterating on chip designs. The Terafab itself, he said, would be “far bigger than everything else combined” on the Giga Texas campus and require “thousands of acres.” Tesla says the existing Giga Texas site spans about 2,500 acres with more than 10 million square feet of factory space. Musk added that “several locations for Terafab are under consideration.”

Why: The goal is to supply Tesla, SpaceX, and xAI with the ballooning number of AI chips they expect to need since Musk has said existing suppliers, including TSMC, Samsung, and Micron, can’t handle their future demand. On Tesla’s last earnings call, Musk said chip supply would be a “limiting factor” for Tesla’s growth in about three or four years.

When: Musk has not provided a timeline for the project, but even at his typical breakneck pace, it is likely years away. Building a semiconductor fab is one of the most complex industrial undertakings in the world, typically carried out by established players like TSMC, Intel, and Samsung, and often takes years to complete and ramp.

“Even under an aggressive scenario involving a retrofit of an existing facility, initial chip output would likely not occur until mid-2028 at the earliest,” Morgan Stanley analysts wrote last week. “A greenfield build would extend timelines further, with meaningful output more likely 4-5 years after project initiation.”

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Alphabet’s drone delivery startup, Wing, expands service to the Bay Area

Move over Waymo — another one of Alphabet’s “Other Bets” is expanding. Drone delivery company Wing said Monday it’s bringing its “ultra-fast residential drone delivery service” to the Bay Area, where autonomous ride-hailing service Waymo also has a sizable presence.

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Tesla and SpaceX to jointly run “most epic chip-building exercise in history by far”

In the latest instance that Elon Musk views Tesla and SpaceX as effectively one company, the CEO of both announced Saturday that the two firms will join forces on his Terafab project — what Musk says will be “the most epic chip-building exercise in history by far.”

Many of the details mirror what we reported last week, with one major addition: SpaceX will play a leading role.

Terafab, whose location is still under consideration as the facility would be too big to fit on the Giga Texas campus, aims to vertically integrate the entire chipmaking process, from design and fabrication to testing and packaging. The goal is to supply AI chips to Tesla, SpaceX, and its subsidiary xAI, Musk’s AI company, whose suppliers Musk said will be unable to handle their demand in “three or four years.” While Tesla has designed its own chips, it has never manufactured them.

Musk said the facility is intended to produce up to 1 terawatt of compute annually. The plant will manufacture two types of chips: inference chips for Tesla’s Robotaxis and Optimus robots, and custom AI chips intended for space-based applications like solar-powered AI satellites. According to Musk, roughly 80% of the compute will be allocated to space-related uses, with the remaining 20% supporting projects on Earth.

Morgan Stanley has estimated the project could cost Tesla an additional $35 billion to $45 billion in capital expenditure, though now perhaps some of that capex might be shared with SpaceX. Like many of Musk’s ambitions, the project is enormous in scale and will likely to take years to complete — potentially into the end of the decade or beyond.

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Jon Keegan

White House releases AI legislative framework

The White House has released its policy wish list for AI legislation — and what it wants excluded.

Still, the odds of any actual AI regulation getting passed in Congress right now are very slim.

The “National Policy Framework” for AI lays out seven issues that the Trump administration wants to see reflected in any congressional action around AI.

The items listed in the framework include:

  • Child safety protections, age verification, and parental controls for AI.

  • Data center projects voluntarily pay their own way when it comes to power, but incentives should still be encouraged.

  • Copyright laws should allow for training models on copyrighted works, while protecting individuals’ voice and likeness.

  • Free speech should be defended for AI systems, preventing the government from pressuring companies to ban or alter content based on partisan agendas.

  • A light touch to regulation to encourage innovation, and no federal agency to regulate AI.

  • American workers vulnerable to AI job replacement should be retrained and supported.

  • Federal AI rules should preempt any state AI legislation to prevent a patchwork of laws that companies would hate.

The policy list is the latest in a series of proposals from the AI-friendly Trump administration.

The items listed in the framework include:

  • Child safety protections, age verification, and parental controls for AI.

  • Data center projects voluntarily pay their own way when it comes to power, but incentives should still be encouraged.

  • Copyright laws should allow for training models on copyrighted works, while protecting individuals’ voice and likeness.

  • Free speech should be defended for AI systems, preventing the government from pressuring companies to ban or alter content based on partisan agendas.

  • A light touch to regulation to encourage innovation, and no federal agency to regulate AI.

  • American workers vulnerable to AI job replacement should be retrained and supported.

  • Federal AI rules should preempt any state AI legislation to prevent a patchwork of laws that companies would hate.

The policy list is the latest in a series of proposals from the AI-friendly Trump administration.

tech
Jon Keegan

WSJ: OpenAI rolling everything into one desktop “superapp”

OpenAI is trying to eliminate distractions and focus on building AI that helps with enterprise productivity tasks like coding and organizing spreadsheets.

As part of that effort, the startup is consolidating some of its side quests into one superapp, according to a report from The Wall Street Journal.

The plan is to merge ChatGPT, Codex, and the Atlas browser together, as it seeks to focus its efforts as it competes with Anthropic and Google for lucrative enterprise customers.

OpenAI Head of Apps Fidji Simo told staffers in an internal memo that “we realized we were spreading our efforts across too many apps and stacks, and that we need to simplify our efforts. That fragmentation has been slowing us down and making it harder to hit the quality bar we want,” per the report.

The plan is to merge ChatGPT, Codex, and the Atlas browser together, as it seeks to focus its efforts as it competes with Anthropic and Google for lucrative enterprise customers.

OpenAI Head of Apps Fidji Simo told staffers in an internal memo that “we realized we were spreading our efforts across too many apps and stacks, and that we need to simplify our efforts. That fragmentation has been slowing us down and making it harder to hit the quality bar we want,” per the report.

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