Don't forget productionizing UAVs for both Defense and non-defense usecases over the past decade; mRNA vaccines actually becoming a thing; biofermented textiles

Don't forget productionizing UAVs for both Defense and non-defense usecases over the past decade; mRNA vaccines actually becoming a thing; biofermented textiles; the proliferation of avionics, power engineering, nuclear engineering, and biopharma knowledge globally; etc! HN feels like it's become much more negative, but there's a whole lot of innovation on the verge of being unlocked, and the 2030s are going to be interesting to say the least, especially now that innovation capacity has diffused globally > If you're looking to build the next website or iPhone app, yes, the ship has sailed. The rinse-and-repeat "put a subscrpition on it" playbook has played out Imo, Semi-generalizable ML models (colloquially "LLMs") have the potential of having a similar impact depending on the problem space. There's a lot of interesting work being done in actually leveraging these kinds of foundational models to automate or at least minimize additional rework or glue needed (not talking about code generation per say, but stuff like simplified information retrival, simplified auto-reasoning, etc) It's still the equivalent of the mid-2000s rn for foundational models and their applications, but it actually looks promising (aside from the BS hype cashing in on the AI hype train)