Topic: AI model limitations

AI models have significant limitations, including reliance on available data, reluctance to make direct recommendations, and the need for human judgment and decision-making.

More on: AI model limitations

The podcast episodes highlight various limitations of AI models, such as the need for sufficient data, reluctance to make direct recommendations, and the importance of human intuition in decision-making.

For example, in Episode 13 of AI and I, the hosts explore the challenges of using AI models like Gemini Pro 1.5 and ChatGPT for stock trading, ultimately relying on their own judgment to make a successful trade.

Similarly, Episode 2 of Latent Space acknowledges the limitations of the Segment Anything Model (SAM) and encourages the community to explore ways to improve upon them, demonstrating the ongoing need for advancements in computer vision research.

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