"Diversity & inclusion sponsor"? What is that?

Pandoc can convert to svg. It can then be inlined in html. Looks just like latex, though copy/paste isn't very useful

That doesn’t solve the accessibility issue, though. You need semantic tags.

This is sold as crystal cat litter. Very useful to put a sock in the car, the boat or the check-in luggage.

Careful with check-in luggage. Apparently it might be mistaken for crystal meth [1].

[1] https://www.huffpost.com/entry/man-jailed-in-bust-of-the-yea...

Yes, I imagine in Singapore: - Is this chrystal meth, lah? - No, it's cat litter. - You stoopid, that is even worse!

There is nothing wrong with unions, but they are a response to an imbalance in bargaining power. In places with lots of smaller employers, there is much less benefit.

One thing I've thought about is whether observations in the present can influence past events. I'm thinking it must be so, though probably only on a microscopic level.

The chain isn't this:

Choice of how to measure -> History

it is,

Choice of how to measure + physical system -> Observations -> Interpretation of observations -> History

The choice of what and how to measure will influence the history you conclude, but that is true of actual "Caesar and Napoleon" history too, and in that case it's definitely not that past events are being changed, instead it is your knowledge of them. A really interesting principle is that any philosophical question that can be phrased without referring to ideas that only exist in quantum mechanics can usually be answered without referring to them.

Frankly, i don't think this is true at all. If anything I notice, for me, that I take better and more informed decisions, in many aspects of life. Think this criticism comes from a position of someone having invested alot of time in something AI can do quite well.

For me, the main question in this context would be whether the decisions are better informed or they just feel better informed. I regularly get LLMs to lie to me in my areas of expertise, but there I have the benefit that I can usually sniff out the lie. In topics I'm not that familiar with, I can't tell whether the LLM is confidently correct or confidently incorrect.

Well, AI does make errors, and never says "I don't know". That is also true of Wikipedia though. I've seen much improvement in accuracy from 3.5 to 4.5. Hallucinations can often be hashed out by a dialogue.

Wikipedia has multiple ways it tells you it doesn't know or it doesn't know for certain. Tags such as clarify, explain, confusing (all of which expand into phrases such as clarification needed etc) are abundant, and if an article doesn't meet the bar for the standard, it's either clearly annotated at the top of the article or the article is removed altogether.

Very disturbing how append sometimes decouples, sometimes not.

A true masterpiece:)

Very interesting on how H1B coupled with affirmative action has had major negative externalities on Americans.