Hacker Newsnew | past | comments | ask | show | jobs | submitlogin

We’re in a golden period where AI results are ad-free.

One thing I’ve been doing is querying and storing results. For example, “what are the best books on X topic” for every topic I can possibly think that I may want to read about in the future.

I’ve found the results to be amazing if you give a sufficiently detailed prompt. I have enough reading to see me through to exit.



I've already started getting results infiltrated by SEO but for AI. Deep research did return seemingly a top book when I was looking into Ansible. I independently verified it with my own searching in a few different places.

But the other recommendations seemed like crap and when I followed the sources they seemed like AI generated garbage for AI that I couldn't find doing my normal searching.


By the time this „golden“ ad free time is over in 1-2 years you should be able to run your own custom model locally


I hope so but we could also be staying in an eternal state of FOMO as the proprietary models keep getting marginally (or a lot) better.


How are they better if they spam the user with ads?


One possibility is that if they can manage to lower interest rates back to zero ish, we might see a hiring frenzy in machine learning/llm/genai, starving upstarts and free software of talent, slowing progress in custom local models? Or is this too pessimistic/ "out there" of a take that requires the stars to align just right?


Interest rates at zero and there won't be any clients for these upstarts as people will be in bread lines from their worthless money.


Some models will still trickle down; hell, better/cheaper hardware should enable to run hefty models available today, and they seem to be already okay-ish with such queries.


Would you consider sharing these somewhere?


The training data is full ads. For books, you have publisher-influenced rankings, SEO slop and promotional social media posts. It's GIGO, and has been that way from the start.




Consider applying for YC's Winter 2026 batch! Applications are open till Nov 10

Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: