People are judging AI in inspection using the wrong tool for the wrong task.
After seeing a LinkedIn post where ChatGPT failed to correctly interpret a DPI indication, I wanted to discuss what that actually means for the future of inspection and NDT.
In this episode I break down:
The difference between large language models and computer vision AI
Why pattern recognition is central to inspection
How AI could assist techniques like ACFM, MPI, DPI and UT
Where AI may genuinely improve consistency and anomaly detection
The limitations of AI offshore
Why experienced human judgement still matters
This is the first BTS ByteSized episode. Shorter discussions on offshore life, diving, inspection, NDT and where the industry is heading.
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