In this episode of Apple @ Work, Kagi's founder Vlad Prelovac discusses the challenges and future of search technologies, emphasizing the need for a user-centric approach. He explores the balance between economic incentives behind search engines and the ethical concerns arising from their operation. Prelovac also delves into the impact of large language models (LLMs) on search functionality and how organizations can leverage these advancements to improve user experiences in both personal and professional settings. The conversation underscores the importance of aligning technology with user-focused values.
Kagi's approach aims to redefine the search experience both for personal and professional contexts by prioritizing user needs and the ethical implications of search algorithms.
The conversation highlights the evolving landscape of search technologies and the tension between economic incentives and user experience, particularly in leveraging large language models.
Collection
[
|
...
]