I fear the move to LLM based search is a short term boost with a potential long term cost.
Yes they are very helpful. But what is the incentive to create more blogs for them LLM companies to scrape for novel tech? They are great for answering questions about things that are very well documented and understood but the incentive structure that aligns technical bloggers with search is being undermined.
In tech, knowledge scales non-linearly. No amount of trivial search can amount to finding excellent technical writing. Most of the stuff LLMs are great at answering are things that an individual can typically figure out already just much more slowly by RTFM (eg: react component, MVC code etc.) However, the LLMs fail at deeply technical or highly novel subjects.
I worry LLM usage overtime will create a gap between research papers and engineering as nobody is incentivizeded to write about their implementations/explorations.
I am hearing more and more tech-people jumping to Kagi regardless of role (SWE,SRE, PD,DS) which is encouraging.
The web is going to need a different business model. There's no way around it from this point. Traffic + Ads = Money is dead for anybody with content that can be summarized by an LLM. Even Traffic + Subscription = Money is also vulnerable if your offering is not easily discoverable outside of a search engine. I don't know the solution.
I've wondered about that too. Feels like there's a risk to be stuck in some flavor of 2025 indefinitely, if the incentive to produce new content is eroded by the rise of LLMs.
I share the same concerns, hence built my own search engine that is human-curated. There is already a push back against "AI slop content" online, AI search will online make this worse as it ingests this slop.
Yes they are very helpful. But what is the incentive to create more blogs for them LLM companies to scrape for novel tech? They are great for answering questions about things that are very well documented and understood but the incentive structure that aligns technical bloggers with search is being undermined.
In tech, knowledge scales non-linearly. No amount of trivial search can amount to finding excellent technical writing. Most of the stuff LLMs are great at answering are things that an individual can typically figure out already just much more slowly by RTFM (eg: react component, MVC code etc.) However, the LLMs fail at deeply technical or highly novel subjects.
I worry LLM usage overtime will create a gap between research papers and engineering as nobody is incentivizeded to write about their implementations/explorations.
I am hearing more and more tech-people jumping to Kagi regardless of role (SWE,SRE, PD,DS) which is encouraging.