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Agrees 98% with the original thread but warns against assuming superintelligence…

2026-04-05 · 22:14 UTC ·@chasebrignac ·2 min read

Brief

Chase Brignac accepts 98% of the thread but argues superintelligence won’t be purely virtual: Elon Musk’s robot-manufacturing scale (plus Wright’s Law) and SpaceX’s orbital capacity could decide a long race to ~2030. He cites early-March/Q1 2026 model breakthroughs, Zuckerberg’s 2025 push to overbuild for a potential 10× compute leap, and urges OpenAI/Anthropic to rapidly reach and automate past human-level capability before being outbuilt; he doubts 'Stargate' is sufficient.

Why it matters

Agrees 98% with the original thread but warns against assuming superintelligence is purely virtual: Elon Musk has a robot-manufacturing scale advantage and, per Wright’s Law, every doubling of manufacturing capacity exponentially cuts per-unit cost — making Musk very difficult to beat on scale if the race lasts to ~2030.

Key details

  • Flags early-March / Q1 2026 as the period when OpenAI and Anthropic may have first trained surprisingly capable large models; if compute/physical scaling is the bottleneck, companies that can scale infrastructure (Musk, Mark Zuckerberg) will dominate — Zuckerberg said in 2025 he'd rather overbuild than risk missing a leap that requires 10× more compute.
  • Claims top human researchers will be supplanted once automated researchers become superhuman; therefore OpenAI and Anthropic must 'blitz' now to reach a human-surpassing capability threshold and automate the economy quickly before being outbuilt by xAI, Meta, Microsoft, and Google — questions whether 'Stargate' will be enough.
Source evidence

title: @chasebrignac: I 98% agree but it’s assuming superintelligence is purely virtual. Elon has a robot manufacturing sc...
author: @chasebrignac
contenttype: tweet
publication: Twitter/X
published: 2026-04-05T22:14:19+00:00
sourceurl: https://x.com/chasebrignac/status/2040915966843044048

word_count: 341

I 98% agree but it’s assuming superintelligence is purely virtual. Elon has a robot manufacturing scale advantage over OpenAI, Anthropic, etc. Wright’s Law says every doubling of manufacturing capacity decreases the per unit cost by an exponential amount - American Unitree needed

Andrew Curran (@AndrewCurran_)

If OpenAI and Anthropic both finished training surprisingly capable large models at roughly the same time in early March, then this is potentially purely a result of scale. Q1 2026 was just the first time anyone had enough compute to train at this level.

If this really comes down to how fast, and to what extent, you can scale physical infrastructure, then I think it probably becomes very difficult to beat Elon after around 2030. If the race goes that long, and we are still pre-transformative, he will just keep ramping up physical constructs. He will literally build a datamoon if that's what it takes to win a contest of scale. If orbital datacenters work, he probably also wins that way due to SpaceX.

Mark Zuckerberg is just as scale-pilled. Last year, when he was pressed on capex during the earnings call, he said that he would rather overbuild now than risk missing the next leap that requires 10x more compute to train.

The last eighteen months have shown how valuable top human talent in this industry still is, but even senior people at OpenAI and Anthropic now say openly that they do not know how long they themselves will still have these jobs. Once automated researchers are superhuman, top talent will be supplanted by how many super-researchers you can run simultaneously. It will be difficult to beat Elon and Zuck at this game by the end of the decade. This is what Stargate is for, but will it be enough?

Against xAI, META, Microsoft, and Google, it seems that OpenAI and Anthropic have to blitz now; reach a sufficient capability threshold to surpass the human level, then automate as much of the economy as possible as fast as possible before they are outbuilt.

— https://nitter.net/AndrewCurran_/status/2040105055815426527#m