World Solve

Companies sometimes stop providing security patches for older but still commonly used software or devices, leaving users vulnerable without clear warning. Establishing consistent, enforced support timelines remains an unresolved industry practice.

Scammers can deploy AI-driven chat systems that convincingly impersonate real customer service representatives to extract sensitive information from victims. Detecting and shutting down these operations quickly remains an unresolved challenge for platforms and regulators.

Existing assistive navigation tools for blind and visually impaired users remain limited in accuracy and are often too expensive for widespread daily use. A truly reliable, affordable solution remains an unmet accessibility need.

Building one app that works well across many different operating systems and device types often results in compromises that make it less polished than a dedicated, platform-specific version. Fully closing this quality gap remains an unresolved software engineering tradeoff.

AI-driven bot accounts can now mimic human behavior and conversation patterns closely enough to evade many detection systems, allowing coordinated manipulation campaigns to operate largely undetected. Keeping detection ahead of this evolving threat remains an ongoing challenge.

Modern software often relies on long chains of interconnected code packages, and a single broken or malicious update deep in that chain can cascade into failures across countless unrelated projects. Making this system more resilient remains an unresolved structural issue.

Scammers can now use AI to generate convincing images of products that don't exist or don't match what's actually shipped, making it harder for shoppers to identify fraudulent listings. Detection tools on marketplaces remain inconsistently effective.

Cookie consent banners have become a near-universal nuisance without necessarily giving users meaningful, easy-to-understand control over their data. Redesigning this system to be both genuinely protective and user-friendly remains unresolved.

Many apps still handle intermittent internet connectivity poorly, causing data loss or conflicts when switching between offline and online states. Truly seamless offline-first design remains inconsistently implemented across the software industry.

Attackers can sometimes convince phone carriers to transfer a victim's number to a new device, bypassing two-factor authentication tied to that number. Carriers have improved verification, but this attack method remains an ongoing security gap.

Wireless carriers often prioritize dense urban areas for network upgrades because they're more profitable to build out, leaving rural regions with slower, less reliable coverage. Closing this rural connectivity gap remains a persistent infrastructure challenge.

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.

Ensuring software works well with assistive technologies is often treated as a lower priority than testing for basic functionality or security, leading to inconsistent accessibility even in otherwise well-built products. Making accessibility testing equally rigorous by default remains unresolved.

Age verification systems designed to protect minors from inappropriate content often require handing over sensitive personal information, creating a tradeoff between child safety and privacy for all users. A method that achieves both effectively remains unresolved.

Scammers increasingly use AI to generate convincing fake job postings and interview processes designed to steal personal information or money from desperate job seekers. Platforms are still catching up to detect and remove these scams effectively.

Some of the internet's most widely used open-source components are maintained by very few volunteers, and serious vulnerabilities have been found lurking undetected for years in code millions of systems depend on. Better resourcing and review processes for open-source security remain inconsistently funded.

Content about topics like drug use, violence, or self-harm can be either genuinely educational or genuinely harmful depending on context and intent, and automated filters still struggle to reliably tell the difference. This creates ongoing tension between safety and access to legitimate information.

When companies discontinue software or online services, users often lose access to their data or functionality with little warning or support for migrating elsewhere. Standardized, consumer-friendly transition processes remain largely absent from the industry.

Scammers increasingly use AI-cloned voices of family members to fake emergencies and pressure victims into sending money quickly, exploiting trust before people have time to verify. Reliable, fast verification methods to counter this remain underdeveloped.