There’s many reasons to be pessimistic about AI startups (chiefly about just how incremental the technology is for companies with already existing user bases) b

There’s many reasons to be pessimistic about AI startups (chiefly about just how incremental the technology is for companies with already existing user bases) but ‘most startups will fail’ is saying water is wet and this one reads like the sour grapes from someone who had most of their field take a sudden turn to the right superseding most of the taught state of the art with something new. Really low quality article that skips the low hanging fruit on why it’s particularly tough on startups right now for generic ramblings about patterns from the past that do barely apply. The big change we see in the field right now is that AI has become accessible to a much broader base of by trade software engineers and move from the realm of labs and science to applied. That did not happen before at scale. Until the technology plateaus and stabilizes, things will be high risk for companies without existing user bass. That’s the nature of start ups. And also, while people are hating on the Thin Layer Over ChatGPT crowd - there’s nothing fundamentally wrong with that, you can make a quick buck and sell to a slower company and that’s just fine. Most of local retail these days is a thin layer over Aliexpress or Taobao, arbitraging on time to delivery. Nothing wrong with that once people get over the idea that somehow everything has to be groundbreaking. There are no moats in this tech. The moat is in the data (look forward to exclusive licensing) and user base, which don’t favor start ups. Is Langchain a 100M idea? I don’t know, not my place to judge but you know what - people paid more for obviously fake crypto bullshit, that’s between them and their maker, rich people games. I’m glad for the engineers to get paid and the open source community getting contributions, however they are paid for.