WeTransfer TOS now makes in WeOwnIt.

Wetransfer is a service that I've used in the past to get big files from a machine to another machine.

Nowadays I would just copy a file to my iCloud and send a like to the file via email, but I guess that is too difficult for a lot of folks. So WeTrasfer will be used by many for a while to come. 

That is too bad, since they now claim that all files send via them are now theirs to use. They claim this right in the new Terms Of Service that you have to agree on to continue using them. 

This means that any file your send via them can and probably will be used to train Large Language Models with. 

See also thus BlueSky post: https://bsky.app/profile/ramiismail.com/post/3ltxlpy5qyc2h

Using Vectorize to build an unreasonably good search engine in 160 lines of code

A "pebble in my shoe" or annoyance for a long time is the very limited search I get on JW.org and the adjacent wol.jw.org. These websites contain numerous interesting articles (in a stupendous 1108 languages 🤯), if only you know how to find them. 

It's true that the site maintainers have highlighted a bunch of articles and also try to show relevant links on the front page. But sometimes I am looking for something specific. That I just. Can't. Find. 

After reading this blog/advertorial by PartyKit, I wonder if using a vector database that cashed all the articles, the search would be improved? If I ever find the time for it, this would be a project informed on. 

People really do not like AI


I've been writing about AI for about 4 years now, I guess.

First about machine learning. Then ChatGPT and Kagi and in more recent times, Perplexity.

In my bubble it seems unlikely or impossible to not know about these systems.

But after reading this, I feel that we are the few who are ahead of the curve:

Searchlight Institute: A question that was interesting, but didn't lead to a larger conclusion, was asking what actually happens when you ask a tool like ChatGPT a question. 45% think it looks up an exact answer in a database, and 21% think it follows a script of prewritten responses.

You can read more here:  https://thezvi.substack.com/i/181369167/people-really-do-not-like-ai

How much water does AI use? Not as much as you’ve heard in the media.

Andy Masley, a former high school physics teacher, is challenging the notion that data centers are a major contributor to the water crisis. Through his Substack, he uses data and calculations to debunk misleading statistics about data center water usage, sparking a national conversation on AI water doomerism.