A World Model Can Pass Every Test and Still Lose
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A while back I wrote that programming is drifting from verifying how code works to verifying what it produces — results-oriented programming . This post is what happened when I took that idea seriously enough to break it. I set out to reproduce a DeepMind result and instead spent a few weeks on a small, stubborn question: if a result-check passes, does that actually mean the result is right? The answer, it turns out, is "not necessarily" — and you can say exactly when it fails, and prove part…
1Key Takeaways
- A while back I wrote that programming is drifting from verifying how code works to verifying what it produces — results-oriented programming .
- This post is what happened when I took that idea seriously enough to break it.
- I set out to reproduce a DeepMind result and instead spent a few weeks on a small, stubborn question: if a result-check passes, does that actually mean the result is right?
- The answer, it turns out, is "not necessarily" — and you can say exactly when it fails, and prove part….
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that a while back I wrote that programming is drifting from verifying how code works to verifying what it produces — results-oriented programming .
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