Software etc.

For most of us, life is the easiest and most comfortable it has ever been in all of history. We have better healthcare than royalty had 100 years ago, we fly around the world for fun and all the information and entertainment we could ever want is at our fingertips. In most civilized countries there's even decent welfare systems for the have-nots. Although social media and climate change are giving us major anxiety, it sure beats hunger, plagues, world wars or nuclear gloom. Humans have evolved with constant discomfort, and now we're comfortable. This is a reason for boredom and restlessness in the modern world. We want to be challenged and experience risks. Instead of life on easy mode we need struggle. Perhaps this explains why seemingly normal people that have lots of other options start companies that do not make a lot of financial sense. There's a need to prove oneself, to work really hard, and to experience risks. Startups definitely let you do that. Whenever I see Saa

Last year multiple companies asked me for advice. " We are evaluating this AI powered product, but do you think it makes sense at all? It seems a bit niche and we think ChatGPT might make this entire thing obsolete soon. " Long tail - credit to Wikipedia My answer so far has always been: "No, bare LLMs are not going to compete with this product." I think that people are failing to understand the distinction between different classes of AI companies. I see it like this: Foundational AI - creating models like GPT-4 (text), Sora (video) etc. Applied AI - using existing models to create smart applications. Note that there are also companies not focusing on AI - they will start lagging behind, let's forget about them ;) There are orders of magnitude  (!)   more companies that will deal with Applied AI than Foundational AI, and they will be very busy for decades to come. Here's why: To get the most out of LLMs, you have to ask the right questions. LLMs have acc