thelock85

For context, I have done a lot of hacking mostly in JS throughout the years, but more recently in no/low code land, though I would never consider myself a SWE. I’m formally trained in learning sciences and have experiences from product to change management. More recently, I’ve come to realize I’m just a creative, and entrepreneurial/tech/innovation work has been the most apparent vehicle to be creative at market prices.

Now I’ve been using LLMs a ton, some programmatically, but mostly through chat UIs. It’s already clear to me how much more creative output I can achieve, but the drawbacks are also clear: everything starts to sound the same, context is hard to maintain, complex questions lack nuanced answers, etc.

So I have basically 10 weeks of free time coming up and am thinking about how to deep dive in to AI. Should I develop more of an executive perspective on AI strategy? Should I take on a technical project like building a GraphRAG from unstructured creative data? Should I develop fluency in specific tools or frameworks?

Curious and appreciative of any suggestions that HN can offer!