/AI13h ago

Researcher Explains How Model Failures Drive New AI Problem Statements

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Ravid Shwartz Ziv@ziv_ravid#612inAI

And when it breaks (it always breaks), you analyze the failure cases, characterize them, and ask: why here, why this input, why this regime? The failure cases slowly turn into your problem statement, and the idea is something the data forced on you

The second way is less romantic. You don't start with a specific idea, but you start with the best thing that already exists. You take the strongest baseline you can find, you reproduce it honestly, and then you push it until it breaks.

7:03 AM · Jun 2, 2026 · 79 Views
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The first starts with an idea. You read something, and a clean hypothesis pops up: what if we replace X with Y to get a better model It's exciting. You sketch it out and start building toward it. Most of us got into research because of this feeling.

On how to do research and the novelty of ideas. In general, there are two ways to do research. The shiny novel ones (top down) vs the old boring ones (bottom up) 🧵

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The second way is less romantic. You don't start with a specific idea, but you start with the best thing that already exists. You take the strongest baseline you can find, you reproduce it honestly, and then you push it until it breaks.

The first starts with an idea. You read something, and a clean hypothesis pops up: what if we replace X with Y to get a better model It's exciting. You sketch it out and start building toward it. Most of us got into research because of this feeling.

13hViews 447Likes 2Bookmarks 2