The AI bubble is growing, and a case could be made that we’re watching the next finacial crisis happening in slow motion. LLMs have a use case, but as the addage goes “good tools makes good craftsmen great, they don’t make bad craftsmen good”, the same is of LLMs usage. Those who understand their problem space are the ones who’ll benefit the most. And those that know the most are those who’ve had to work without LLMs.

On the other end of the spectrum is those who use LLMs and don’t know the problems they’re trying to solve.

  • Overall separation between ground truth of those using LLMs everyday, and psudo intellectuals who think it’s a godsend
  • Watch it drive MSFT employees crazy: https://news.ycombinator.com/item?id=44050152
  • GitHub Copilot Agent: https://news.ycombinator.com/item?id=44031432
  • Julies, Asych Coding Agent: https://news.ycombinator.com/item?id=44034918
  • Ask HN: Coding LLMs useful?: https://news.ycombinator.com/item?id=44095189
  • Myth of Dev Obsolescence: https://news.ycombinator.com/item?id=44105592
  • AI Accelerated Incompetence: https://news.ycombinator.com/item?id=44114631
  • Why LLM-Powered Programming is More Mech Suit Than Artificial Human: https://matthewsinclair.com/blog/0178-why-llm-powered-programming-is-more-mech-suit-than-artificial-human
  • My AI Skeptic Friends Are All Nuts: https://fly.io/blog/youre-all-nuts/
  • AI Accelerated Incompetence: https://news.ycombinator.com/item?id=44114631
  • The Who Cares Era: https://news.ycombinator.com/item?id=44115620