In today's issue:

  • Elon Musk unveils TERAFAB — a $20-25B chip plant targeting 1 terawatt of AI compute annually, the biggest semiconductor project in U.S. history, and 80% of the output is going to orbit
  • A blockbuster Science paper argues intelligence won't be a singular god-AI but plural, social, and deeply entangled with billions of humans and trillions of agents
  • Barton Springs Road fire behind an abandoned restaurant, a brutal bus stabbing on South Lamar, and city officials urging "kindness" toward violent offenders — another week in Austin's homelessness crisis
  • Austin identified as a leading luxury real estate market for 2026, plus Rodeo Austin and Austin Psych Fest hitting their stride

Let's ride.

Top Stories

Austin Just Became the Epicenter of the AI Hardware Age

Elon Musk unveiled TERAFAB Saturday night at the historic Seaholm Power Plant on Lady Bird Lake — a $20-25 billion joint Tesla/SpaceX/xAI venture targeting 1 terawatt of AI compute annually, roughly 70% of TSMC's entire current output. Governor Greg Abbott attended. The facility will be built at Giga Texas in eastern Travis County and represents the most ambitious semiconductor manufacturing project in U.S. history. TERAFAB is designed as two specialized fabs, each making only one chip design — one for edge compute (Optimus robots, autonomous vehicles), one for datacenter AI. Vertical integration from mask-making through testing under one roof, with a nine-month recursive improvement cadence. Musk called it "the final missing piece of the puzzle."

But here's the part that matters most: 80% of TERAFAB's output goes to orbit. Space-based, solar-powered AI data centers launched via Starship. Why? Because U.S. total electricity capacity is only ~0.5 terawatts — you literally can't deploy 1TW of compute on Earth without rebuilding the entire grid. This isn't just a chip factory. It's the bootstrap for orbital AI infrastructure. Analyst Robert Anderson nailed it: TERAFAB is "a Dyson Swarm bootstrap hidden inside a semiconductor announcement." The facility will require thousands of acres and over 10 gigawatts of power at full scale — equivalent to 7-10 large nuclear plants. The space component isn't a side project; it's the core architecture.

Is this feasible? Musk has a track record: Battery Day 2020 promised 4680 cells at scale by 2022 — delayed until 2024-2025. Dojo, FSD, Cybertruck all missed timelines by 2-4 years. But Starship achieved orbital reflight faster than predicted, and Giga Texas was built in under two years. The pattern is consistent: Musk overpromises timelines but delivers capability eventually. The 2027 production target is almost certainly optimistic — realistic estimates are 2028-2029 for initial production, early 2030s for full scale. But Texas advantages are real: zero state income tax, fast permitting, Abbott's active support, abundant land. Austin is now competing with TSMC Arizona, Samsung Taylor, and Intel Ohio for semiconductor supremacy. And the bet isn't just on chips — it's on orbital compute, autonomous robotics, and the physical infrastructure of the AI age. Quantity has a quality all its own.

Sources: KVUE, Musk's announcement.

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Intelligence Won't Be Singular — It Will Be Austin

While Silicon Valley chases a god-AI singularity, a blockbuster paper published Sunday in Science argues intelligence is fundamentally plural and social — and that vision maps perfectly onto Austin's decentralized, anti-institutional DNA. James Evans (University of Chicago sociologist of science), Benjamin Bratton (philosopher, author of The Stack), and Blaise Agüera y Arcas (Google DeepMind VP) published "Agentic AI and the Next Intelligence Explosion" on March 23. Their core claim: the next intelligence explosion won't be a singleton superintelligence bootstrapping itself to godhood. It will be plural, social, and deeply entangled with humans — "seeded by eight billion humans interacting with hundreds of billions, eventually trillions, of AI agents." The singularity won't be singular. It will be a messy, distributed society of minds — human and artificial — arguing, refining, and building together.

The most surprising evidence? Frontier reasoning models like DeepSeek-R1 spontaneously generate internal "societies of thought" — multi-agent debates where different perspectives argue, critique, and refine ideas — when trained purely for accuracy, with no explicit programming for this behavior. Nobody told the model to organize internal debates. It emerged from optimization pressure alone. This suggests intelligence IS social by nature, even when it occurs within a single mind. Quote: "robust reasoning is a social process, even when it occurs within a single mind." The paper challenges the entire premise of the AI doomer narrative: there is no "cold silicon point" consolidating all cognition. Intelligence is relational, high-dimensional, and inherently collaborative. Building good institutions matters as much as building smart AI.

Here's the Austin connection: this distributed-intelligence framing is Austin's ethos made into science. Austin isn't a top-down tech hub like San Francisco or an institutional power center like DC. It's a city of independent creators, entrepreneurs, and free agents — a society of thought in its own right. And the timing is perfect: the same weekend Musk announces orbital AI compute swarms (distributed infrastructure), Science publishes a paper saying intelligence itself is distributed. The convergence isn't accidental — it's the direction everything is pointing. Eight billion humans. Trillions of agents. No central command. Just emergent order from free collaboration. That's not Silicon Valley. That's Austin.

Source: Science.

Weird Austin

One Thing

If TERAFAB delivers even half of what Musk promised, Austin just locked in its position as the physical headquarters of the AI age. Not bad for a Monday.

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