AI spam is winning the battle against search engine quality
theregister.com
theregister.com
Not that LLM sludge isn't also an issue, of course.
It's obvious that Elon Musk doesn't want to sell me crypto, how an automated system made by one of the largest technology companies in the world hasn't detected its fraud is alarming, and Google has the resources to also pay for manual review.
They just don't care that their system is being used to ruin people's lives
I saw an ad on YouTube once selling washing up tablets to kids to.... eat.
There are no free search engines anymore. AI spam doesn't really change the dynamic.
One may argue that the only first result of search is important, but that is not true.
For any general topic I should be swamped with results.
I have my own link database for news. For search term 'Elon Musk' I have 4 thousands of links alone.
400 results for search term is laughable.
It is hard to control flow of thousands of links. It is easier to control information if you narrow people scope of visibility close to nothing.
Search is now worse than it was in 1996, Trust me I was there kids :) What you have now is a pale shadow of a real, functioning internet.
Perhaps the way forwards radically different.
If a consortium of independent crawlers could release a massively compressed model periodically, say 12 times per year, then search could move to the client side. Anyone got sensible estimates on what the size of a model could be to give say about 80% of the capability of Google/Bing?
I think it would weigh in smaller than 1TB, and with clever differential code you'd only have to download the changes.
Isn't it time to move search of the web off the web?
At universities all around the world you'll sit a course called "Research Methods". It's a bit of statistics, philosophy of science, hypothesis formulation, significance testing, understanding epistemology, quality, quantity, bias.....
I've a fairly good overview of it, because I've taught it at least 10 semesters.
One of the things baked into every research methods course is search. Sometimes you learn the interfaces to specific tools for searching papers. But most of it is what you describe; boolean operators, regular expressions, sorting and filtering...
The students are still told to use Google and that this works with Google. But this information hasn't been useful for almost 5 years now.
For 5 years we've been training bachelors, masters and PhD students to go out there and use tools and techniques that are almost completely irrelevant. The primary official tool at the foundation of all academic research is broken.
Almost no research methods professors I know at any university have though to train students to deal with advertising, spam, AI clutter, disinformation - to deal with the reality of Google as it actually is.
For 5 years we've been misleading students. Because we got so hung-up on a monopoly, we've allowed a single corporation to fuck the whole of Western academic research - because year after year I definitely see poorer results.
One day I hope the world is able to look back at the colossal cost of BigTech to culture.
Absolutely none of that works on any modern search engine-- except kagi.
The reason Google is starting to suck is that the first page results are often trash.
*standard HN disclaimer
Oh no we earn more money by producing worse product!
It would only change if openai disrupted the search monopoly. Even then we would end up in another monopoly and enshittification cycle continues