This post talks about turning books into audiobooks. The discussion continues about podcasts, then it’s mentioned that there’s the Hacker News Recap. After listing to one episode and I was hooked. It does what I read the site for; seeing the general consensus about trending tech news, and I would highly recommend it. Also related to all the LLM and AI hype, I’ve listed a few sites and stories that’ve stood out to me this year.

  • AI for Work: I’ve seen a few sites like this, free and paid. But prompt engineering as a whole only matters if you either 1) don’t know the problem space or 2) have limited usage of the LLM. If you don’t know what to ask, then you don’t know enough to get started. And if you continually just ‘figure it out’ then precise prompts from the start don’t help either.

  • AI Makes Tech Debt More Expensive: I have a friend that’s been worried about how good AI has been getting and it’s danger to his currnet position. But current AI is best when going from zero-to-one (getting started with something you have no idea about) or needing to understanding something specific for yourself (what is the context of this function call). It’s currnet ability to apply novel solutions to large existing complex problems is limited. This hn comments echo the same sentiment, along with another friend of mine who uses Github Copilot regularly for work as a senior engineer.

  • Final Round AI: A SaaS platform that coaches you through technical interviews. It’s not dystopian, just hilarious, and this is just the tip of the iceberg in the new era of job searches. Other related tools have popped up under labeled as “interview copilots”.
  • LockedIn AI
  • Interview CoPilot
  • Sensei AI

  • Interviews

  • The Intelligence Age: I remember talking with classmates about this during undergrad. From vacuum tubes, to transistors, to microchips, to the information age, to the AI age.