Comment by dangus

1. Deep Research (if you are talking about the OpenAI product) is part of the base AI product. So that means that everything building on top of that is still a wrapper. In other words, nobody besides the people making base AI technology is adding any value. An analogy to how pathetic the AI market is would be if during the SaaS revolution everyone just didn’t need to buy any applications and directly used AWS PaaS products like RDS directly with very similar results compared to buying SaaS software. OpenAI/Gemini/Claude/etc are basically as good as a full blown application that leverage their technology and there’s very limited need to buy wrappers that go around them.

2. Image/video creation is cool but what value is it delivering so far? Saving me a couple of bucks that I would be spending on Fiverr for a rough and dirty logo that isn’t suitable for professional use? Graphic designers are already some of the lowest paid employees at your company so “almost replacing them but not really” isn’t a very exciting business case to me. I would also argue that image generation isn’t even as valuable as the preceding technology, image recognition. The biggest positive impact I’ve seen involves GPU performance for video games (DLSS/FSR upscaling and frame generation).

3. Medical applications are the most exciting application of AI and ML. This example is something that demonstrates what I mean with my argument: the normal steady pace of AI innovation has been “disrupted” by LLMs that have added unjustified hype and investment to the space. Nobody was so unreasonably hyped up about AI until it was packaged as something you can chat with since finance bro investors can understand that, but medical applications of neural networks have been developing since long before ChatGPT hit the scene. The current market is just a fever dream of crappy LLM wrappers getting outsized attention.