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Joined 1 year ago
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Cake day: August 10th, 2023

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  • There isn’t going to be a search engine without some type of ai or content agitation tool. Key word search is not enough to make one of these work. Search engines need to sort through millions of web pages, and try to give you the best match for what your looking for via smart algorithms. With Google these algorithms are designed to sell you products and get the most clicks out of you. Kagis profit incentive is to curate good links for your search results. Indie results will always be low on the ranks thats why they are indie. As they get more popular so so their search results. You don’t want your search engine feeding you only new and up and coming shit. You want the most relevant search results. Sometimes it’s going to take some digging to find what your looking for. UNLESS you want to give up mountains of your data to and hope that the company uses it to serve your interest instead of feed you sponsored bullshit.






  • The argument “it just predicts the most likely next word” while true massively under values what it even means to predict the next word or token. Largely these predictions are based on sentences and ideas the model has trained on from its data sets. It’s pretty intelligent if you think about it. You read a text book then when you apply the knowledge or take a test you use what you read to form a new sentence in relation to the context of the question or problem. For the models “text prediction” to be correct it has to understand certain relationships between complex ideas and objects to some capacity. Yes it absolutely is not as good as human intelligence. But what it’s doing is much more advanced then text to type on your phone keyboard. It’s a step in the right direction, over hyped right now but the hype is funneling cash into research. The models are already getting more advanced. Right now half of what it says is hot garbage but it can be pretty accurate.