Ever notice how AI research processes used to feel like a grind — hours pulling from hundreds of sources? Well, according to /u/Any-Community-6659 on Reddit, that grind has vanished. What took 20 to 30 minutes now wraps up in less than 7. And here’s the kicker — switching from Gemini to ChatGPT, the speed just gets faster, but the depth? It’s noticeably shallower. It’s like the AI is rushing to finish, sacrificing quality for speed. Now, you might think, 'Hey, that’s just progress,' but here’s where it gets interesting — deep research isn’t really that deep anymore. Researchers are noticing that the AI isn’t digging as hard as it used to. As /u/Any-Community-6659 points out, what used to be a thorough deep dive is now more like a quick scan. So, what does this actually mean? We’re approaching a point where speed might outpace true understanding, and that shift is subtle now, but it’s exactly the kind of signal that usually defines the next cycle.
A few months ago, when I ran a deep research query, the Al would actually sit there and grind for 20 to 30 minutes. You could see it pulling from hundreds of different sources to build a massive, detailed report.
Now? The entire process wraps up in under 7 minutes.
I've recently switched from ChatGPT to Gemini and I taught it was a Gemini specific thing, switched to ChatGPT and it's even worse there.
What happened? Deep research in it's current form isn't very "deep"...
A few months ago, when I ran a deep research query, the Al would actually sit there and grind for 20 to 30 minutes. You could see it pulling from hundreds of different sources to build a massive, detailed report.
Now? The entire process wraps up in under 7 minutes.
I've recently switched from ChatGPT to Gemini and I taught it was a Gemini specific thing, switched to ChatGPT and it's even worse there.
What happened? Deep research in it's current form isn't very "deep"...