Every large language model existing today is getting worse at writing, and almost nobody is measuring it. The industry keeps asking which model is smartest, but the bigger question is: smartest at what? As tech giants chase lucrative enterprise contracts, they are optimizing frontier models for coding, logic, and autonomous agent workflows. In the process, […]<br /> This story continues at The Next Web [...]
Across 101 enterprises, the context feeding AI agents is failing often and repeatedly. Sixty-eight percent have traced a confident but wrong agent answer to missing or inconsistent business context in [...]
Easy access to data and the ability to utilize it in meaningful ways have always been important, but in the era of AI, machine learning, and data analytics, it has become absolutely essential. The glo [...]
Two years after it was first announced, we just got an extended trailer for inXile entertainment's Clockwork Revolution at the Xbox Games Showcase, and it looks kind of incredible — and complet [...]
You spend weeks tuning an AI chatbot. Answers are accurate. Stakeholders sign off, and you ship it. Three months later, the system is confidently wrong about a third of what users ask. Nobody changed [...]
An enterprise AI agent answers with total confidence, but the number is wrong. Nobody catches it until someone traces it back to a stale metric definition or a document the retrieval system never pull [...]
A VB Pulse survey this June found that 57% of enterprises had traced a confidently wrong agent answer back to missing or inconsistent context — the latest sign of how central context has become to w [...]