Most organizations are not failing at AI because of technology. They are failing because they do not know which data actually matters, and they are scaling that confusion faster than ever. At a time when investment continues to surge, the expectation is that more intelligence will naturally follow. Instead, many teams are finding themselves overwhelmed. […]<br /> This story continues at The Next Web [...]
OpenAI researcher Kevin Weil says the company has no plans to claim a share of individual users' discoveries, and that CFO Sarah Friar's comments about IP-based pricing were misinterpreted.& [...]
A Ukraine-linked online campaign reportedly alters Russian fuel station map data, creating confusion among drivers through coordinated digital participation. [...]
Large language models continue to struggle with hallucinations, presenting a major roadblock for real-world enterprise applications. Reducing these errors is a messy business, forcing model developers [...]