| For me, Google Search just doesn't seem to be getting better over the years, if anything its getting worse. I honestly feel like its hard to get what I want half the time with all the SEO spam, most of the time I have to input "inurl:reddit.com" just to get good results. At the same time, ChatGPT has frequently impressed me, not with everything (my expectations are reasonably low) but it has performed amazing work for me (typing out form letters, code language conversions). For what it's worth I wouldn't use ChatGPT for search like I do with Google, but what it has done is taken away time I would be Googling for things like "how to write X form letter". I expect as it matures, it will take more time away from me Googling. All these takes underestimate the following: 1) How quickly ChatGPT and its ilk will advance to solve relatively low hanging fruit like "ChatGPT is wrong about this one thing". The delta is extremely important here. 2) How slowly the Google bureaucracy will grind when releasing anything remotely like ChatGPT. All the committees and the burdensome processes in place in Google will keep this new technology locked up for years, and ensure that the final result is a camel (horse designed by committee). It doesn't matter if they have superior technology if they never use it or release it. 3) How much Search means to Google will mean they will treat any product changes to it extremely carefully while Microsoft will be willing to experiment with Bing like they have with Co-Pilot and GitHub. Personally, I wouldn't go long on search engines that don't have a strong ML component to them in the future. |
> Personally, I wouldn't go long on search engines that don't have a strong ML component to them in the future.
What's kind of ironic about this is I think search engines may have mistakenly moved away from strong ML in the sense that you're thinking of.
Yes, ML is being used for recommendations much more than ever, but in terms of heuristically finding pages with the keywords you entered, mainstream search engines have become significantly worse at it. I remember a time when The Google would find any pages with the keywords you entered. In recent years (before I stopped using it), I noticed an increasing number of times where I knew it had a page indexed but it would refuse to include it in the results for whatever reason. Either its ability to fuzzy search pages seemed diminished or it would just not match something word-for-word. I could sometimes figure this out when the page I was looking for previously accidentally came up in the results for another barely-related search, so I knew it wasn't that the search engine was culling old pages. Though I'm sure they're doing that as well where they think they can get away with it.
Recommendations and curation are largely overrated, and that's where a lot of ML has been mistakenly applied. Well, I say mistakenly in the sense that it benefits the individual and society. Recommendation engines do serve the purpose of the company selling those recommendations.
A true application of machine learning to answer engines is the future and will be a big problem for companies that fought the advertising wars by banking on recommendation engines. That is unless they turn their ship soon enough.