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Two top models did a six-month project in a week: pipeline, test data and 1,000s of checks

Fable and GPT-5.6 at max effort did a task that would have been a near 6-month project in a week, building a data capture pipeline, a synthetic data baseline, and building and testing 100 classification model variants with near-SOTA results.

How it works

  1. Two top models work at max effort
  2. Build a data capture pipeline and a synthetic data baseline
  3. Build and test at scale
  4. A near six-month project lands in a week

Why it’s worth knowing

Six months to a week is the kind of compression that changes what gets attempted.

Where it’s from

Summarized from a public post on news.ycombinator.com. See the original ↗

Upgraded prompt

A ready-to-use prompt for this idea, built from research on what makes AI agents do the job right: who the AI should be, the exact steps, and a check to make sure it was done the way you wanted.

1Who the AI should be
2The prompt, with the steps
3The check when it’s done
Upgraded prompts are coming soon.

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