Blind to Disruption – The CEOs Who Missed the Future

Let us see how this will age. The current generation of AI models will turn out to be essentially a dead end. I have no doubt that AI will eventually fundamentally change a lot of things, but it will not be large language models [1]. And I think there is no path of gradual improvement, we still need some fundamental new ideas. Integration with external tools will help but not overcome fundamental limitations. Once the hype is over, I think large language models will have a place as simpler and more accessible user interface just like graphical user interfaces displaced a lot of text based interfaces and they will be a powerful tool for language processing that is hard or impossible to do with more traditional tools like statistical analysis and so on.

[1] Large language models may become an important component in whatever comes next, but I think we still need a component that can do proper reasoning and has proper memory not susceptible to hallucinating facts.

Isn't this entirely missing the point of the article?

> When early automobiles began appearing in the 1890’s — first steam-powered, then electric, then gasoline –most carriage and wagon makers dismissed them. Why wouldn’t they? The first cars were: Loud and unreliable, Expensive and hard to repair, Starved for fuel in a world with no gas stations, Unsuitable for the dirt roads of rural America

That sounds like complaints against today's LLM limitations. It will be interesting to see how your comment ages in 5-10-15 years. You might be technically right that LLMs are a dead end. But the article isn't about LLMs really, it's about the change to an "AI" world from a non-AI world and how the author believes it will be similar to the change from the non-car to the car world.