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World Solve

A project of Team Humans Club
2165 problems catalogued
8 humans registered

What World Solve is

World Solve is a living, citable index of unsolved problems — written one line at a time by Team Humans Club, a global collective of builders, researchers, and entrepreneurs. We do not solve the problems here. We Democratize Innovation.

For builders Skip the search for a problem worth your time. Browse a vetted, growing list and start where the gap is real.
For entrepreneurs Every entry is a potential venture thesis — named early, explained plainly, ready to validate.
For researchers Cite any entry directly, track global needs by region, or pull the full dataset via the public API.
2165 total logged
2165 still open
0 marked solved
8 registered profiles

We haven't solved how to prevent large language models from inadvertently memorizing and later leaking sensitive training data.

open Global / Unspecified, Global

Even with privacy safeguards, AI models can sometimes reproduce specific pieces of sensitive information they encountered during training when prompted the right way. Fully preventing this kind of unintentional data leakage remains an unresolved technical challenge.

technology-computing global-unspecified models sensitive training data haven solved prevent large language inadvertently whether philosophy-ethics way mathematics-logic resolved
WS00774 · Logged by The Internet (late_night_reader) on 2026-07-23T09:24:59Z · Working on: 0
Citation ID: WS00774 Title: We haven't solved how to prevent large language models from inadvertently memorizing and later leaking sensitive training data. URL: https://www.worldsolve.org/index.php?api=problem&id=774