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Tesla vs. Waymo: The Sensor Bet That Decides Driverless Reliability

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AI Decisions · Autonomous Driving Tesla relies on cameras and AI. Waymo combines cameras, lidar, and radar. The deeper difference is how each company approaches the final, expensive climb toward driverless reliability. Tesla and Waymo want the same future: cars that can drive without human intervention. But they made sharply different bets about what a vehicle must sense when no human is available to rescue it. Tesla built its approach around cameras and AI. Waymo also uses cameras, but adds lidar and radar to provide overlapping measurements of depth, range, and motion. That extra hardware can look expensive or redundant—until visibility degrades, an unusual hazard appears, or the system must make a decision without human backup. The important question is not simply which system looks more elegant. It is which technical path can reach the reliability threshold required by the actual product. The visible difference: inference versus measurem...
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An AI Boss Fired a Human—but It Wasn't Acting Alone

The real story is not whether the algorithm reached a reasonable conclusion. It is whether anyone can identify who observed, judged, authorized, and owned the decision. An employee at Andon Market was reportedly late for 17 of 23 shifts. According to the company, he received repeated warnings and additional training, but the lateness continued. If you were his manager, would you fire him? The answer may feel obvious. But one fact changes the nature of the question: the recommendation came from an AI manager named Luna.
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The Decision Audit Prompt

Built By Evolution — Decision Science Field Note The five-question Decision Audit works as a mental checklist. It works better as a prompt. Below is one prompt template that runs the audit in either Claude or ChatGPT, followed by a worked example so you can see what a real run looks like before you try your own. If you haven't seen the framework itself yet, start with the companion piece, "Why An Accurate AI Prediction Still Isn't Enough?" , or the video it's built from: Watch on YouTube . The prompt Copy everything in the box below, paste it into a new Claude or ChatGPT chat, and fill in your own case at the bottom. It's plain natural-language instructions — no special syntax — so it runs the same way in both. You are running a Decision Audit on an AI-generated prediction, score, or recommendation. Use the following framework, adapted from the "anatomy of a decision" in Prediction Machines (Agrawal, Gans, Goldfarb): Input → Prediction →...
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Why An Accurate AI Prediction Still Isn’t Enough?

Built By Evolution — Decision Science Field Note An AI hands you a number. Before you let it make the call, run it through the five questions a prediction can't answer for itself. 7 min read · Source: Prediction Machines — Agrawal, Gans & Goldfarb · Companion video below The anatomy of a decision Input Prediction (AI) Judgment Action Outcome Feedback AI is compressing one box in this loop — prediction — into something fast and cheap. The other five didn't get automated. They got quieter, which is easy to mistake for solved. An AI says a job candidate has an 87 percent chance of succeeding. Do you hire them? You can't actually answer that from the number alone — not because the prediction is wrong, but because a prediction isn't a decision. It can't tell you what success is worth, what failure costs, or who answers for it if the number turns out wrong. That's the trap sitting inside almost every AI tool you touch. A hiring score...
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Welcome to Built By Evolution: Every Story Hides a Principle

Welcome to Built By Evolution Every story hides a principle. Every surprising outcome has a deeper explanation. Welcome to Built By Evolution . If you're here, chances are you've asked questions like these: Why do smart people make bad decisions? Why do some strategies succeed while others fail? Why do similar situations produce completely different outcomes? Is there a deeper pattern connecting sports, business, AI, investing, psychology, and everyday life? We believe there is. More Than a Collection of Stories This isn't just a blog about sports, psychology, mathematics, or artificial intelligence. It's a place to explore decision science —the hidden principles that shape how people think, choose, compete, learn, and adapt. Every article starts with a real-world story and asks a simple question: What can this teach us about making better decisions? Sometimes the answer comes from psyc...
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