According to Greg Brockman on Twitter, effective debugging in AI development sometimes requires developers to deeply analyze and understand the code, as traditional debugging tools may not always suffice (source: Greg Brockman, Twitter). This highlights a critical trend in AI software engineering, where complex models and algorithms can present unique challenges that demand both advanced toolsets and human insight. For businesses, investing in AI talent with strong problem-solving skills and fostering a culture of deep technical analysis can lead to more robust AI systems and reduce downtime caused by elusive bugs.