From classrooms to clinics to cubicles — AI’s rewriting every rulebook. 🎓🧬💼

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👋Hello Reader!

AI’s not slowing down for anyone — not even schools. Karpathy wants teachers to stop playing “AI detective,” Harvard’s new model is decoding disease mysteries, and MIT says the real automation threat is buried deeper than you think.

Grab your coffee. Today’s lineup is full of breakthroughs — and a few existential crises. ☕💻

📚 Karpathy Says: Stop Trying to Catch AI Homework

The AI cheat wars are over — and AI won.

Former OpenAI researcher Andrej Karpathy has a message for teachers: give up the ghost. He says AI homework detectors are “doomed to fail,” and it’s time to rethink how schools handle assignments altogether.

Here’s what he said:

• Detection tools? “Broken.” Karpathy says even new systems like Google’s Nano Banana Pro can mimic handwriting and pass most exams.

• His solution: move graded work back into classrooms and use AI as a companion for learning outside of school.

• The goal of education, he argues, should be to produce students “proficient in AI — but able to live without it.”

Why it matters:
AI’s upended the education system faster than anyone expected. With teachers scrambling to maintain academic integrity and students leaning on tools like ChatGPT, we’re witnessing the biggest classroom shift since the calculator. The next wave of education reform? Making AI literacy as essential as algebra.

🎓 Welcome to the age of “open-AI book” exams.

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🧬 Harvard’s PopEVE Cracks the Code on Genetic Mysteries

AI just helped diagnose thousands of children — and rewrite what we know about DNA.

Researchers at Harvard Medical School unveiled popEVE, a new AI model that pinpoints harmful genetic mutations with unprecedented accuracy — and it’s already outperforming DeepMind’s AlphaMissense.

The results are jaw-dropping:

• PopEVE can scan an entire genome and rank disease-causing mutations in order of likelihood.

• It helped diagnose one-third of 31,000 children with severe developmental disorders who previously went undiagnosed.

• The model reduced false positives from 44% to just 11%, cutting through genetic “noise.”

• It flagged 120+ new genes linked to rare conditions, some now independently confirmed by global research teams.

Why it matters:
AI’s promise in healthcare just got very real. PopEVE isn’t just accelerating diagnosis — it’s discovering previously unknown disease mechanisms. For families who’ve spent years searching for answers, this is nothing short of life-changing.

🧬 AI won’t cure every disease tomorrow, but it’s starting to tell us where to look.

🧊 MIT’s ‘Iceberg Index’ Reveals the Hidden AI Threat to Jobs

Turns out the layoffs we see are just the tip of the automation iceberg.

MIT researchers dropped a chilling new study — literally — with the Iceberg Index, a tool mapping how AI automation threatens the U.S. workforce across 151 million jobs.

The findings:

• AI can already perform tasks worth 11.7% of all U.S. wages.

• Tech layoffs? Just 2.2% of that total exposure. The real threat is buried in office jobs.

• Admin, HR, logistics, and finance roles face 10x more automation risk than tech workers.

• States like Tennessee, North Carolina, and Utah are running early simulations to prepare policy responses.

Why it matters:
Forget the headlines about Silicon Valley layoffs — the true AI disruption is coming for middle America’s white-collar workforce. With trillions in potential productivity at stake, policymakers are racing to manage the fallout before it hits.

💼 The robots aren’t coming for your job — they’re already training for it.

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🗞️ Other News

🎤 OpenAI brings Voice Mode directly into ChatGPT chat threads — no separate interface needed. Talk, listen, and reply without switching screens.

📖 Character AI launches “Stories”, an interactive choose-your-own-adventure experience designed for safe, AI-driven storytelling (and teen-approved creativity).

🏛️ Anthropic CEO Dario Amodei has been called to testify before the U.S. House over the company’s discovery of an AI-driven cyberattack using Claude Code.

📈 ChatGPT’s growth forecast: OpenAI projects 220M paid users by 2030, putting it on par with Netflix and Spotify’s global subscriber bases.

🛍️ Perplexity debuts virtual try-on, letting shoppers view clothing on AI-generated avatars of themselves. (The “add to cart” temptation just got personal.)

💻 HP plans 4,000–6,000 job cuts by 2028 as part of a $1B AI restructuring plan, pivoting resources toward machine learning and automation tools.

💻 Mastery tools of the day

• remio - Your personal ChatGPT that captures everything you see, connects notes, chats, and files, and answers any question you’ve

• Affint - Connects your business apps and generates branded presentations from prompts using AI that pulls data automatically

• Meloflow - Creates royalty-free music from prompts and includes tools to extend tracks, add layers, and separate vocals from any song

💡What else are we reading and seeing?

• Feedback doesn't scale

• 8 learnings from 1 year of agents

• Tech predictions for 2026 and beyond

• UX Is Your Moat (And You're Ignoring It)

• The Math of Why You Can't Focus at Work

• Why (Senior) Engineers Struggle to Build AI Agents

• The Untold Story of Charlie Munger's Final Years

• Sundar Pichai: Gemini 3, Vibe Coding and Google's Full Stack Strategy

• Nvidia CEO tells employees to use more AI — and don't worry about their jobs

• Traders Are Flooding Markets With Risky Bets. Robinhood's CEO Is Their Cult Hero

⚡️ The Takeaway

AI’s fingerprints are everywhere — from school essays to genomes to labor reports.
Whether it’s helping scientists make breakthroughs or making teachers rethink grading, one thing’s clear: we’re living in the “adapt or fall behind” era.

🤖 And the homework, for all of us, just got harder.

✨ Thanks for reading Not So Artificial!

If today’s edition taught you something new (or saved you from using an AI detector that doesn’t work), forward it to a friend — or your favorite teacher.

See you tomorrow, same inbox, new intelligence. ⚙️

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