The VR industry.

It is like saying you like stakes but only like certain cuts of meat and will not eat rotten meat.

Commercially grown strawberries sold in stores are grown for volume and having a (barely) edible taste. About 1 package in 10 is at peak ripeness and even then only half of them are good.

Picking ripe strawberries from a bush, just about all of them are great. Those berries only grow to a quarter size of what you see in the store and it is a struggle to get them ripe before animals destroy them, so I can see why they are never in stores.

It depends on the fish. Growing up, my mom would buy very cheap white fish and fry it in a ton of oil, so I always assumed I just hated fish. As an adult I have been able to try lots of other fish dishes and enjoyed just about all of them.

Job searches benefit from understanding industry specific synonyms and reading between the lines. That should be something a large language model could be good at.

For example, if I am searching for “senior front end web developer”, it may return a listing for “experienced software engineer” because it lists “5-7 years experience with JavaScript”. It could also list adjacent fields the user may want to consider like Project Management or being a Technical Account Manager for the right type of company.

Also, the risk of AI slop is fairly harmless. If done right, the AI should not be hallucinating job listings. At worst, it can show irrelevant listings while hiding good ones, but that is always a risk with search engines. The developers can mitigate this by mixing results from both the AI and conventional search engine and let the user provide feedback if a listing is relevant or not.

I hate when grocery stores collect food for a food bank.

The store makes a profit from me buying food to donate and they get a positive press release when they donate the food.

What discount? Every contractor I have hired quoted me the cash price, though they will accept a credit card via a service that makes me pay the credit card fee (and then some).

Maybe it was not a defining moment for the world at large, but it was a defining moment for the US.

It broke the 90s economy. It created a lot of doubt in the US stock market about future terrorist attacks, causing an immediate run to pull out money, and starting a very quick, sudden recession.

As an immediate aftermath, all US airlines had to pause operation. When flights resumed, airlines had to find a way to make lost revenue, kicking off rapid enshitification. Though most airlines did not collapse, they hit hard times, further feeding into the collapsing market.

Prior to the attacks, the US was in a relatively peaceful period. In response to the attacks, the US started yet another war against the Middle East and has been at war with one country or another for almost 25 years.

It also justified the government to create a giant system to monitor people worldwide. The government set up secret courts to try Americans. People outside the country, were simply kidnapped and detained in Guantanamo Bay.

Now, many of these things are simply cyclic progressions or had been brewing long before September 2001, but the event creates a very clear border between before and after.