Agentic AI Struggles: World Models & Adoption Hurdles

1d ago·0:00 listen·Source: Benjamin Riley | Substack

Summary

Agentic AI is currently facing challenges in developing what are called "world models." This is highlighted by the contrast with how most people use generative AI today, primarily through written interactions with large language models like ChatGPT. Here's the thing: tech companies are now saying these chatbots are not the future of AI. Instead, they point to Agentic AI, which has three main use cases. One is coding, where it might help engineer new software. Another involves large businesses using it to find cost efficiencies from vast amounts of data. The third is "vacation planning," where Agentic AI could manage digital affairs. What's interesting is that the article raises concerns about trusting Agentic AI with personal digital space. This suggests a potential barrier to its widespread adoption, impacting how people might interact with future AI technologies.

Read the full article on Benjamin Riley | Substack

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