
What happened
The author fed AI a team roadmap, survey results on world models and medical AI, one constraint — cross the two areas — and USPTO novelty (§102) and non-obviousness (§103) criteria, and got six proposals in about 30 minutes.
Why it matters
The author reports the tweak that changed the output was the evaluation criteria — supplying the patent review standard pushed the AI to explain why each idea would not be obvious, and the six proposals ranged from an operating-room physics simulator to a cell-state model that optimizes drug dosing order.
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The writeup is built around two free-to-try tools and one experiment. World Labs' Marble, released in February 2026, takes a single photo and produces a persistent 3D space that can be exported to Unity, Unreal, or Blender; it has a free tier of 4 generations and paid plans from $20 per month. DeepMind's AlphaGenome reads up to 1 million base pairs and predicts thousands of properties across the 98% of the genome that does not code for proteins, with source code and weights released for non-commercial use on January 28, 2026, alongside a Nature paper; DeepMind reports it outperformed existing models on 25 of 26 evaluations.
The author then describes feeding AI a team roadmap, survey results on world models and medical AI, a single constraint to cross the two areas, and USPTO novelty and non-obviousness criteria. Six proposals came back in about 30 minutes. The author singles out one — a system that generates verifiable simulation evidence for regulatory submissions by detecting uncovered scenario space and auto-generating runs to fill it — as the most promising, and notes the practical patent lesson that claims are better written as a control or simulation device than as a diagnostic method.
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