Ethan Mollick: Benchmark AI models for specific tasks, not generic use

By PulseAugur Editorial · [1 sources] · 2026-07-02 16:22

Ethan Mollick advises users to conduct their own benchmarks when selecting AI models for specific tasks. He suggests using Gemini 3.5 Flash for complex tasks like translating hieroglyphics and Claude Opus 4.8 for simpler applications such as running a vending machine. Mollick expresses skepticism about simply switching models based on cost or generic benchmarks without prior testing. AI

IMPACT Emphasizes the need for task-specific AI model evaluation over generic benchmarks.

RANK_REASON Opinion piece from a known commentator on AI usage.

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Ethan Mollick: Benchmark AI models for specific tasks, not generic use

COVERAGE [1]

Bluesky Jetstream — AI desk TIER_1 English(EN) · emollick.bsky.social · 2026-07-02 16:22

You really need your own benchmarks. If you are translating hieroglyphics, use Gemini 3.5 Flash. If you are running a vending machine use Opus 4.8.

You really need your own benchmarks. If you are translating hieroglyphics, use Gemini 3.5 Flash. If you are running a vending machine use Opus 4.8. (This is one reason why I am skeptical of just swapping out models to optimize costs or generic benchmarks without testing first)

COVERAGE [1]

You really need your own benchmarks. If you are translating hieroglyphics, use Gemini 3.5 Flash. If you are running a vending machine use Opus 4.8.

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