In my experience, all model routers underestimate the difficulty of non-math/coding tasks and assign them too little intelligence. This is w

AimostAll news brief curated from Ethan Mollick.

Source details

Original source
Ethan Mollick
Published
2026-06-28
Primary topic
Foundation Models

Why it matters

Model launches, benchmark jumps, API upgrades, context window changes, and frontier LLM competition. This item originated as a short-form social post, so the context blocks below help expand it into tools, models, and evaluation guides.

What happened

In my experience, all model routers underestimate the difficulty of non-math/coding tasks and assign them too little intelligence. This is worth addressing, as non-verifiable tasks (innovation, marketing, qualitative analysis) often benefit the most from using “smarter” AI models

What to do next

Compare the hosted model pages first, then check the related tools and buyer guides before changing workflow standards.

In my experience, all model routers underestimate the difficulty of non-math/coding tasks and assign them too little intelligence. This is worth addressing, as non-verifiable tasks (innovation, marketing, qualitative analysis) often benefit the most from using “smarter” AI models

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