model selection2 articles
Half a Billion Dollars in One Month: What Happens When Nobody Watches the AI Tab
An unnamed company reportedly spent $500 million on Anthropic's Claude in a single month after failing to set usage limits on its AI licenses, highlighting how quickly enterprise AI costs can spiral out of control. Broader industry examples, such as employees using AI to check the weather or misusing large models for simple tasks, point to widespread inefficiency in how companies deploy AI tools. Experts argue that businesses need greater internal AI expertise, better model selection, and smarter usage controls to manage costs and ensure quality outcomes.
Your AI Tool's Default Settings Are Making Up Racial Stereotypes About Your Data
Microsoft Copilot's "Auto" mode has been shown to fabricate country-specific stereotypes when analyzing text data, even when the underlying datasets are identical across groups. An experiment by mathematician Adam Kucharski found that Copilot invented detailed demographic differences — such as Italians being more arts-oriented than Brits — entirely from its own biases rather than the actual data. Switching to reasoning/thinking models resolves the issue in obvious cases, but most users rely on default settings and may not realize their AI-generated analysis is unreliable.