This Practical AI podcast episode discusses five unsuitable applications for generative AI (GenAI). The hosts, Daniel and Chris, debate the limitations of fully autonomous GenAI agents, highlighting their unreliability and the need for human oversight, especially in high-stakes situations. They also caution against using GenAI for time-series forecasting and complete software application development, recommending existing specialized tools instead. Furthermore, they address the challenges of applying GenAI to high-throughput, low-latency tasks and languages beyond the most common ones. The episode concludes by emphasizing the need for guardrails and human intervention when using GenAI in high-risk scenarios.
