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Here are the highlights from the week that was in AI and our spicy takes on what it actually means. 🌶️

This week in AI:

  • Four quiet charts show AI already reshaping books, courtrooms, music, and science
  • Benedict Evans’ annual “AI Eats The World” deck declares the models are commoditizing — value moves up the stack
  • “Harness engineering” emerges as the skill behind actually-useful AI agents
  • The outbound playbook every $1M YC founder is secretly running (spoiler: it’s all distribution)
  • Meta’s reported $14 billion hire finally speaks — and calls his first model “an appetizer”

On the Chipp side:

AI Highlights from Around the Web

Four Charts That Show AI Already Changed Everything

Marc Porter Magee shared four charts tracking what's surged since ChatGPT launched: weekly e-book releases on Amazon, the share of self-represented federal lawsuits, AI-generated music uploads, and scientific papers submitted to ArXiv. Each line bends sharply upward right around late 2022. It's a quiet but undeniable picture of AI seeping into books, courtrooms, music, and research all at once.

Tweet by @marcportermagee

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The debate over whether AI is “real” is over — the charts already moved. The only question left is whether a flood of AI-generated books, lawsuits, and papers makes the world better or just louder.

Benedict Evans' Annual Deck: The Models Are Commoditizing

Matt Harney flagged Benedict Evans’ new 79-slide “AI Eats The World” presentation, the tech world’s most-screenshotted annual ritual. The provocative thesis: chat is a terrible interface, the labs can’t build every app themselves, and as models commoditize, the real value moves up the stack to whoever owns the workflow. He also maps a fresh semiconductor investment cycle and consumer usage that’s “a mile wide and an inch deep.”

Tweet by @SaaSletter

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“Models are commoditizing and value moves up the stack” is the most important sentence for anyone building on AI. Translation: stop worshipping the model. The money lives in the boring layer that turns a model into something a business will actually pay for.

“Harness Engineering” Is the Skill Nobody Was Hiring for Six Months Ago

Vaishnavi pointed to a free site teaching “harness engineering” — the craft of building the scaffolding (context, memory, agent loops, evals) that makes AI coding agents actually useful. It blew past 4,000 likes because it names a skill that suddenly matters: the model is a commodity, but the harness around it is where the real leverage lives.

Tweet by @_vmlops

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A year ago “prompt engineer” was the meme job. Now the real work is engineering the harness — the context, memory, and guardrails around the agent. The people who learn this now are writing their own job descriptions for 2027.

The Outbound Playbook Every $1M YC Founder Is Quietly Running

Finn Mallery distilled what the current YC founders crossing $1M ARR all have in common — the exact same outbound motion. Build lead lists with tools like Clay, run a LinkedIn connect-and-DM sequencer at 200 connects a week, keep DMs to two warm sentences, post daily, and get good at AEO (answer engine optimization). Twenty focused hours a week, and the demos start booking.

Tweet by @fin465

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Notice that none of this is “build a better product.” Distribution is the moat now, and AI just made it cheap enough for a solo founder to run an enterprise-grade outbound machine. If you’re waiting for the product to sell itself, someone running this playbook is already eating your lunch.

Meta's $14 Billion Hire Finally Talks

Ashlee Vance landed the first interview with Alex Wang since Meta reportedly paid $14 billion to pry him from Scale AI and put him in charge of its AI turnaround. Wang opens up about rebuilding a frontier lab from the inside, the all-star team Zuckerberg assembled (Friedman, Gross, Zhao), and their first model, Muse Spark — framed, tellingly, as “an appetizer, not the entrée.”

Tweet by @ashleevance

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$14 billion for one person is either the clearest sign that AI talent is the scarcest resource on earth, or the clearest sign we’re deep in bubble territory. Probably both. And when a company calls its flagship model an “appetizer,” maybe manage your expectations about the main course.

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