AI is getting smarter. Catching its mistakes is getting harder.
- Apr 16
- 1 min read
WALL STREET JOURNAL — Though tech companies have broadly made progress in reducing the likelihood that products powered by frontier AI models will hallucinate or otherwise go off the rails, the frequency still varies widely among models and can be difficult to assess.
The result: real-world flubs such as Olson’s that can confuse users and in some cases deliver misinformation that users might unknowingly act on. AI watchdogs say the quality-control challenge will become even more acute as models become more agentic, or capable of making decisions without explicit direction from humans.
Read the full story | WALL STREET JOURNAL
