The Great AI Landgrab

· The Fluency Briefing

The Fluency Briefing

Your Guide to What's Happening in AI and Why It Matters to You

Saturday, July 4, 2026


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Everyone's talking about AI replacing jobs, but here's the part nobody's connecting: the same week a beloved coding instructor reported his course sales dropped by two-thirds thanks to LLMs, Anthropic announced it wants to develop its own drugs, and world leaders started personally texting tech CEOs to lure data centers. The real story isn't that AI is changing things - it's that every player, from fanfic writers to heads of state, is scrambling to figure out which side of the table they're sitting on.

Today in AI:


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Today's Takeaway:

Three stories from this Saturday look unrelated - a coding instructor's tanking sales, fanfic communities hunting AI-generated prose, and Midjourney's legal counterpunch against Hollywood studios. But they're all the same fight: who owns creative output when AI can replicate it? Josh Comeau's course sales dropped by two-thirds because LLMs can now regurgitate his teaching for free, without compensation, as he told readers on his blog (via Simon Willison). Fanfic readers on AO3 are trying to purge AI-written stories but can't reliably tell human from machine, according to The Verge. And Midjourney is arguing in court that the very studios suing it are doing the exact same thing with copyrighted data (Engadget).

Here's the thread connecting all three: the old rules about who creates, who copies, and who gets paid are breaking down simultaneously at every level - from billion-dollar studios to hobbyist writers posting free stories online. We don't have new rules yet. We just have a lot of finger-pointing and unreliable detection tools. The federal court's decision in the Midjourney case could set a real precedent, but for now, the creative world is stuck in a messy middle period where everyone suspects everyone else of the thing they might also be doing.


🧠 AI Trivia - Test Your Knowledge

1. Who is credited with coining the term "Artificial Intelligence" in 1956? a) Alan Turing b) John McCarthy c) Marvin Minsky

2. Due to increasing AI demand, what percentage of global DRAM revenue is projected to be driven by AI servers by 2027? a) Approximately 15% b) Approximately 30% c) Approximately 50%

3. A Windows development guru recently demonstrated using a 19th-century Stirling Engine for auxiliary cooling on an AMD Threadripper system. What was the primary purpose of this unconventional setup? a) To achieve record-breaking CPU overclocking. b) To convert waste heat energy into mechanical motion. c) To drastically reduce the system's overall power consumption.

Answers at the bottom of the newsletter!


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The Bottom Line

The Pattern: From world leaders texting billionaires to fanfic readers policing em dashes, every layer of society is being forced to renegotiate its relationship with AI - not in theory, but right now, this Saturday, in courtrooms and group chats and shrinking bank accounts.

Why It Matters: If you create anything - code, courses, stories, products - the economic ground beneath you is shifting. The people who figure out what AI can't replicate about their work will thrive. The ones who compete with it on output alone are already losing.

Your Move: Pick one thing you do that a language model could approximate, and ask yourself honestly: what do I add that it can't? That's the part worth doubling down on.


📝 Trivia Answers: 1) b - John McCarthy organized the Dartmouth Conference in 1956, where the term "Artificial Intelligence" was first formally introduced. | 2) c - The surge in AI demand, particularly for large language models and data centers, is expected to make AI servers account for a substantial portion of DRAM revenue. | 3) b - The demonstration aimed to showcase how waste heat from the CPU could spin the Stirling engine's flywheel, illustrating energy conversion rather than practical cooling.


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