KPMG, one of the world's largest professional services firms, withdrew a published report on AI usage after it was found to contain apparent hallucinations — errors likely introduced by an AI system used in its preparation. The incident highlights a sharp irony: AI proving unreliable as a source of information about AI itself. It adds to a growing list of high-profile cases where AI-generated content has undermined the credibility of professional and institutional outputs.
Notion restored access to Anthropic following a service disruption that affected availability. The report notes that Notion’s head of product was surprised by how widely the update was reposted. The incident highlights how dependent AI-enabled products have become on upstream model providers and reliability planning.
TechCrunch frames Google’s AI spelling problem as another public embarrassment for the company. Based on the provided excerpt, the article does not specify the product, model, test setup, examples, technical cause, or Google response. The main takeaway is reliability: even major AI systems can fail at basic-looking text tasks, so outputs still need review.