Thanks! I haven't, since ChatGPT worked just fine. I suspect Claude would be good at this too but have yet to try. I have so many ideas like this, so I've got plenty of chances to test different LLMs.
I used to think Google was a giant that couldn't be toppled. With more and more articles coming out like this, I'm less certain. Now is a pivotal moment in Google's history. If they can truly weed out spam, reward good content, and match or exceed ChatGPT and Perplexity in the AI department (in the very near future), their iron grip on the search engine market will remain. I'm uncertain they can do any of those things. Thoughts?
Google just had an income of $23B in the last three months (7.6B a month). Whether their results are good or bad, this is their goal. Whatever billions OpenAI makes they are from paying customers and I would guess it's revenue and not income. Google is making $23B off of mainly FREE products.
There is a very long road to Google losing dominance. It will happen because everything dies but I would bet that's a long way away.
I have a special interest in the post-mortem story of tech companies from the 70's, 80's, 90's, 00's. The HP, DEC, IBM, WordStar, RIM. I love the stories and the patterns they provide.
Most companies reach a size and tenure where they are still trying to grow by a certain percentage every year. They had grown year after year, but as they saturate the market or the market starts to shift they can't grow at the same rate they once did. As they turn into a stable dividend type company ideally growth should more match general market growth, but still growing.
Google makes a lot of its money from showing ads to those using search. They are facing your classic innovator's dilemma. The upstart that can't do 1/100th of what you can, but that one thing it can do it does so much better and they start taking customers and they start climbing that classic S curve of growth. Many of these companies built themselves internally for growth, not for sustainability. Internal incentives cause them to bleed the smartest and brightest & outsource whole departments rather than simplifying. Layers of bureaucracy slow down everything further letting those scrappy startups go after opportunities that the old guard couldn't.
No one thinks Google will go from 23B to 0 by next quarter, no the thing they are talking about is when companies like this don't go from 23B to 25B, but instead to 22.9B.
Y Combinator teaches startups all about the beginning of the diffusion of innovation because that is what is most important. I could probably give a little class on the other side of it, call it the missing lesson or something fun. The value isn't in learning how to not get into the same trap, but to understand your competition better and how to learn what is most likely going on internally and how to exploit it.
> The value isn't in learning how to not get into the same trap, but to understand your competition better and how to learn what is most likely going on internally and how to exploit it.
I only use Yandex.com for organic search results for the last 6-9 months. Every few hundred queries I use Google. 90% of the time I am cross referencing several LLMs to get a general understanding of a topic or problem I want to learn more about before searching for dedicated discussions using Yandex. Google search results are a huge waste of time for me. If Yandex fails me I switch between Bing and Yahoo search.
Yup, this is Google's AOL moment. The execs can't do anything at this point besides throw tantrums and demand more shit be put on the dumpster fire. More ads. More seo spam.
