In what ways do AI-native tools like Pinecone and LangChain differ from those that have bolted on AI capabilities, like Vercel and Algolia?

It's hard to tell. In some ways, I don't feel like using LangChain or Pinecone is any different from using any other sort of SaaS tool or dev tool or API. Whether it's 10 bucks per month, or it's X requests for Y cents. That's why it's so accessible and awesome for me as someone that's not an ML researcher or engineer. But, at the same time, it feels like LangChain and Pinecone are just going to be more of a fit for me because they're focused on that entirely. That's all their branding and positioning.

Long-term, does that mean they'll be better? I don't know. It's kind of like they're spending all the money and stuff on events and marketing, so right now I feel like they're going to be better. I don't know long-term if they will be, though. I feel like there's an analog in the end users tools, as well. Everyone has AI features like Notion or Mem and all the other 19 apps that everyone's doing with plugins. They're all using the same features. They're all using GPT-3. 

At the end of the day, I don't use any of them for their AI features and I don't really know anyone who does. It is just more of a marketing thing I feel like. I don't know if we've really seen the rise of AI native dev tools, or AI native consumer tools because it mostly feels like marketing on both ends. There's more usefulness in the dev tools area for sure than the consumer tools.