World Solve

Fabricated reviewer identities, complete with fake credentials, have occasionally been used to manipulate the peer review process in favor of certain papers. Verifying reviewer authenticity more rigorously remains an unresolved challenge for academic publishing.

Digital contracts can potentially be modified after signing in ways that aren't always immediately detectable without specialized forensic review. Building this verification directly into standard contract systems remains incompletely adopted.

Some websites secretly run scripts that use a visitor's device to mine cryptocurrency without their knowledge, slowing down devices and consuming electricity without consent. Consistent detection and blocking of this practice remains incomplete across browsers.

Automated captioning has improved significantly but still performs unevenly across different accents, dialects, and less common languages, leaving some users with far less accurate accessibility support than others. Closing this accuracy gap remains incomplete.

Attackers can sometimes broadcast false GPS signals that mislead navigation systems on ships, aircraft, or vehicles, creating serious safety risks. Reliable, widely deployed defenses against this kind of spoofing remain incomplete.

Developers often only discover accessibility problems after a product has already launched, since automated tools can't yet catch every meaningful barrier during the build process itself. Building this detection earlier into development workflows remains incomplete.

A huge share of global internet traffic between continents relies on a relatively small number of undersea cables, and damage to just one can disrupt connectivity for entire regions. Building enough redundancy to fully prevent this remains costly and incomplete.

Fraudsters can use AI to generate entirely fake but convincing identities, complete with fabricated financial histories, to open accounts and commit fraud at scale. Detecting these synthetic identities before damage occurs remains a growing, unresolved challenge for financial institutions.

AI models trained on real-world data often absorb and sometimes amplify existing societal biases, and current bias correction methods only partially address the problem. A more complete solution remains an active and unresolved area of research.

Smart home products from different brands frequently fail to communicate properly with each other, forcing consumers to juggle multiple apps and hubs. A universal, trusted communication standard remains incompletely adopted across the industry.

Updating software running power grids or medical devices carries real risk of unexpected downtime, but delaying updates leaves known security gaps open longer. Balancing update speed with operational safety remains an unresolved tradeoff.

The way solid-state drives store data internally makes secure, complete deletion technically harder than with traditional spinning hard drives. This creates lingering privacy and security risks when these drives are discarded or resold.

AI systems can generate false information with the same fluent, confident tone as accurate information, making it hard for users to tell the difference without independently verifying every claim. Reducing this so-called hallucination problem remains a central AI research challenge.

AI can now generate fake news articles, complete with realistic writing style and structure, faster than fact-checkers can identify and flag them. This growing speed gap threatens public trust in written information generally.

Persistent symptoms after infections strain health systems and productivity, yet mechanisms are incompletely understood. Large longitudinal cohorts and mechanistic studies are needed to inform care pathways.

Persistent symptoms after infections strain health systems and productivity, yet mechanisms are incompletely understood. Large longitudinal cohorts and mechanistic studies are needed to inform care pathways.

General relativity and quantum field theory conflict at extreme densities, such as inside black holes and at the Big Bang. Progress in string theory, loop quantum gravity, and holographic dualities could lead to a consistent framework.

Magnetic storms and particle fluxes shape space weather and radiation hazards but are hard to predict. Better in situ measurements and coupled simulations can improve forecasts.

Magnetically confined plasmas exhibit instabilities and transport phenomena that limit performance. Better diagnostics and simulation tools can improve reactor design.

Observed exoplanet diversity challenges simple core-accretion models. High-resolution imaging of disks and improved simulations are needed.