Pause
00:00
Intro: the impact of LLMs on software development and product creation.
01:04
Example: building a personal tool to cluster, rank, and summarize email newsletters and content.
02:00
Exploring the benefits and drawbacks of using LLMs for tasks like clustering.
03:46
The shift from writing software to using general-purpose embedded LLMs for product development.
05:22
LLMs understand intent better than traditional systems, enabling personalized feeds and experiences.
06:41
Two tracks of AI integration: replacing traditional ML tasks with prompts and creating adaptive products.
08:09
The potential of marketplaces for user-created feeds and algorithms, empowering user control.
08:52
User choice in algorithms and the possibility of user-built feeds as the holy grail of engagement.
10:04
The complexity of adaptive products and the role of power users in creating experiences for others.
11:14
How product managers should adapt to the changing paradigm of AI-driven product development.
12:14
The trade-offs of using LLMs and the thought experiment of moving core systems to LLM-based approaches.
13:23
The disruption of traditional ranking systems and the ability to have good ranking from day zero with LLMs.
14:25
The advantage of infinite classifiers on day zero and the power of user choice in product design.
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