stankmut

Crypto was an annoying bubble. If you were in the tech industry, you had a couple of years where people asked you if you could add blockchain to whatever your project was and then a few more years of hearing about NFTs. And GPUs shot up in price. Crypto people promised to revolutionize banking and then get rich quick schemes. It took time for the hype to die down, for people to realize that the tech wasn’t useful, and that the costs of running it weren’t worth it.

The AI bubble is different. The proponents are gleeful while they explain how AI will let you fire all your copywriters, your graphics designers, your programmers, your customer support, etc. Every company is trying to figure out how to shoehorn AI into their products. While AI is a useful tool, the bubble around it has hurt a lot of people.

That’s the bubble side. It also gets a lot of baggage because of the slop generated by it, the way it’s trained, the power usage, the way people just turn off their brains and regurgitate whatever it says, etc. It’s harder to avoid than crypto.

Last time, the judge said they can’t hold him just because Marco Rubio wants to deport him. They were allowed to hold him under the flimsy green card application allegations. This is taking away their other excuse.

I think mistakes like this are usually caused by someone changing their mind on one thing they wrote and forgetting to proofread the whole thing to see if it still makes sense. I imagine this sentence started out as “Rock the size of a small boulder”.

Allowing Google to run an ad campaign targeting their members wasn’t the benefit Blue Cross was talking about, that’s a side effect from them not turning off the data sharing option in the Google analytics settings.

The analytics data is used for prioritizing development work. If a tool they have on the website relies on a library that isn’t compatible with a new version of React, for instance, do they know how many people use it? Having analytics allows you to decide what’s worth spending the development time to maintain.

The analytics would be for the web development team to see which pages/features are used. Usually a product manager uses that data for setting priorities on what gets worked on.