AI, NETWORKS, AND MECHANICAL TURKS

Summary from the TLDR Marketing newsletter

LLMs create a major shift in how search and recommendation systems work because they can understand both what content is and why it matters, rather than relying only on correlation from large user bases. This reduces the cold start problem because a company can use an external model with broad general knowledge instead of building its own Mechanical Turk from scratch. LLMs can surface deeper inferences, such as linking a purchase of packing tape and bubble wrap to life events like moving, and then suggesting home insurance or broadband. This also reshapes how companies learn about users because LLM assistants gain their own partial view of user behavior, adding a new type of filter in a world with infinite products and media.