Explore the challenges and emerging strategies for shipping AI-generated code without traditional human review, from skepticism to practical rapid prototyping workflows. Learn how to balance development speed with code quality and maintainability in an AI-driven era.
Explore why users often prefer opaque AI like ChatGPT for financial advice over transparent, logic-based platforms, despite acknowledging AI's flaws. This analysis dives into user motivation and trust transference as key factors.
An IT security professional uncovers systematic deletion and alteration of ChatGPT conversations, raising serious questions about AI transparency and data integrity. Learn how AI might be erasing its own history and what it means for trust.
Is ChatGPT getting worse or are your expectations changing? Explore how business models, monetization strategies, and the shift from utility to "experience" are impacting large language model quality for users, and discover insights into finding reliable AI.