--- image: "/images/notes/hybrid-corn-ai-adoption.jpg" title: "Hybrid Corn, ImageNet, and AI's Adoption Curve" date: 2025-06-23 url: "https://x.com/ccatalini/status/1937204462369800453" tags: ['ai-agi'] deck: "In 1957, Zvi Griliches showed farmers tried hybrid corn on prime acres first. AI is running the same curve — only the corn is measurement, the fertilizer is GPUs, and the yield is your job." tweetCount: 12 likes: 14 reposts: 5 --- In 1957, Zvi Griliches studied farmers try hybrid corn on prime acres first, then seed the rest once the yields proved worth the cost.📈 AI is running the same adoption curve—only the corn is measurement, the fertilizer is GPUs, and the yield is your job! 🤖 [@drfeifei](https://x.com/drfeifei)'s 2010 ImageNet leaderboard was the tipping point. 14M labeled photos plus public rankings turned vision research into a global hackathon. With two off the shelf GPUs, [@geoffreyhinton](https://x.com/geoffreyhinton), [@ilyasut](https://x.com/ilyasut) & Krizhevsky halved error rates—the day spreadsheets grew eyes. 👀 If you can turn a task into the "Data + Reward + Compute" sandwich, the model will eventually lunch on it. 🦾 And every sensor, clickstream, and synthetic dataset makes the bread cheaper. Fast‑forward: [@AnthropicAI](https://x.com/AnthropicAI) reports 43 % of user sessions are already automation. So the polite chat window you’re using as a copilot today is basically running a dark kitchen for tomorrow’s robo‑staff. 🍳🤖 As measurement costs fall, suddenly even thin‑margin chores clear the ROI bar. Humans still own judgment, though! Sure—until judgment fits a leaderboard. The second we find a proxy label for nuance, it’s headed for the fine‑tune farm. 🏭 Ask the creators whose portfolios are now [@midjourney](https://x.com/midjourney)'s pre‑game snack... What stays out of AI’s reach? Anything lost in Knightian fog: first of their kind ventures, investment bets in a brand-new tech regime, sparking a fashion meme no metric can price. No probabilities to plug in, so no GPT buyout. Leaders should bankroll fuzzy bets, rotate talent through ambiguity, and protect the uncountables—taste, trust, experiences and narratives. Think Amar Bose tuning speakers by ear while rivals optimized frequency charts: on paper it looked wasteful, but customers heard a sound they’d never experienced before. Because, uncomfortable truth: the moment your edge is clean enough to fit a cell, the cell dials an H100 cluster and politely emails HR about the redundancy. Measure what matters, absolutely—yet guard what defies metrics. 🪄 That’s the scarce ground where defensible value still lives. Full article in [@HarvardBiz](https://x.com/HarvardBiz): [x.com](https://x.com/HarvardBiz/status/1936261290961273272)