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Articles for Tyler Bell

Why Your LLM Thinks “The Madison” Is in Wisconsin

For an LLM, response accuracy is entirely dependent on optimized plausibility, not fact. Data and training can improve results, but no one should expect factual certainty from a machine trained to reply based on probability. As with popular chatbots like ChatGPT and Gemini, the LLM within any video distribution service needs grounding to verify, correct, and enhance the responses it provides.

Grounded thinking: Why AI-powered CTV experiences rise or fall on data

Over time, LLMs will enable transformational TV experiences for viewers. Consumer expectations for how they interact with technology continue to rise, and CTV platforms have an opportunity to get ahead of the curve. LLMs can deliver on that promise-but only when anchored in trusted, up-to-date data. With TV viewers constantly reevaluating where they spend their time and money, the cost of unvetted or unreliable information becomes impossible to ignore.