Angelina YangFounder and Host, TwoSetAI · AI builder for visibility and discoverability

Why smarter AI models aren’t enough

23 Dec 2025 · 1 min

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Short transcript excerpt arguing that current language models excel at compressing large datasets and generating natural language, but there remains a practical gap between research/foundational models and deployed, vertical applications; the speaker suggests there is opportunity to bridge this middle ground even as models continue to improve.

Chapters

Language models are very good at two things. The first one is compressing vast amount of data. You can give trillions of tokens to the system, and you will be able to retrieve the signal using a language model. And second thing is generating natural language. And so we have very capable models regarding language understanding, also language generation and things like this. But there is this gap in applying them. And that's why you see so many companies that are building vertical applications, and there is this gap between research, foundational models and so on, and the ones that are used in the real world. And I think so, there is plenty of space in the middle of this to bridge this gap. And I think so for sure, the models will get smarter and smarter.