Startups often prefer to ask for forgiveness instead of permission to push boundaries and achieve success.
OpenAI's lack of transparency on data sources and privacy policies for ChatGPT has raised concerns and led to bans.
Models like ChatGPT rely on large amounts of data, potentially sourced from publicly accessible sources, raising questions about data rights and legislation.
Software engineering often involves layer upon layer of abstraction. Could LLM's like ChatGPT or Copilot replace some of these layers?
Consider the trade-offs before replacing abstractions with LLM's. While it may improve performance, there could be risks such as creating unmaintainable code.
Exploring the efficiency of using LLM's for generating CloudFormation templates could lead to productivity improvements and faster deployment speeds, but potential drawbacks and testing need to be considered.