Their entire business model was to funnel traffic to websites with their ads.
What is their income source now that they've all but stopped doing that?
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Their entire business model was to funnel traffic to websites with their ads.
What is their income source now that they've all but stopped doing that?
I recently replaced a power supply to upgrade a GPU. I bought the power supply on Cragslist, so it had a jumble of cables and no manual. In the past I would have read an article that I would have found on one of those sites. This time I conversed entirely with Gemini, sending pictures of the cables and of the components and the motherboard. I'll not soon forget when I plugged in a cable incorrectly and sent an image…
I wonder how this affect Google's bottom line. Their entire business model was to funnel traffic to websites with their ads. What is their income source now that they've all but stopped doing that?
I wonder how this affect Google's bottom line. Their entire business model was to funnel traffic to websites with their ads. What is their income source now that they've all but stopped doing that?
Earlier quoted context omitted.
If the hardware changes significantly and those sites don't exist in the future wouldn't that mean gemeni would degrade in quality because it has nothing to pull from?
Presumably companies will still provide manuals.
Results vary of course. I have some very wonderful synthesizer manuals.
I wonder how this affect Google's bottom line. Their entire business model was to funnel traffic to websites with their ads. What is their income source now that they've all but stopped doing that?
Earlier quoted context omitted.
If the hardware changes significantly and those sites don't exist in the future wouldn't that mean gemeni would degrade in quality because it has nothing to pull from?
Right, that success story is only because there was "organic" (for lack of a better term) information from an original source. What happens when all information is nth generation AI feedback with all links to the original source lost? Edit: A question from AI/LLM ignorance- Can the source database for an LLM be one-way, in that it does not contain output from itself, or other LLMs? I can imagine a quarantined databas…
I recently replaced a power supply to upgrade a GPU. I bought the power supply on Cragslist, so it had a jumble of cables and no manual. In the past I would have read an article that I would have found on one of those sites. This time I conversed entirely with Gemini, sending pictures of the cables and of the components and the motherboard. I'll not soon forget when I plugged in a cable incorrectly and sent an image…
The first shoe dropped when news websites realized they weren't generating content fast enough. Hard, in depth journalism takes time, but when people want to know something that happened _today_, they don't want to wait a week for all the facts to come out, and so the major websites started losing traffic to websites that churned out articles fast.
The additional benefit of churning out articles was that you could match against more and more long tail keywords, which lead to more traffic and more ability to sell ads. To keep up, many websites dropped quality for speed, and consumers noticed.
The second shoe then to drop was with affiliate marketing -- articles on CNET / Wirecutter etc were already ranking and rating products, so they figured "[...] why shouldn't we get a cut if someone ends up buying a product we recommend"? The challenge then became that consumers couldn't tell the difference between a product that was recommended because it was good, or because the product gave the biggest "kickback" to the website for using the affiliate link. Thus, people that gave "honest" opinions on products (e.g. people asking on Reddit, at least for a while, as the article suggests) became the new source of truth.
The result of this means that these days, if you read a lot of articles on the major tech websites, they feel more like they've been optimized for speed (e.g. churning out an article fast), SEO, and not much else. Many people have talked about how recipie websites are now short story generators more than food instructions, but it's been common for a while where I go to a tech website to read about something I specifically Googled, only for it to feel more like it was written _specifically_ to capture traffic for a keyword, rather than actually solve the issue or question I came into the website with.
The cherry on top is that AI has none of these problems (so far) -- yes, there's some movement on trying to do SEO for AI, and of course ads will eventually come to AI like it has everything else, but currently, you can get the answers you want, described to you exactly how you'd like to hear it -- who wouldn't want that?
I wonder how this affect Google's bottom line. Their entire business model was to funnel traffic to websites with their ads. What is their income source now that they've all but stopped doing that?