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I came here to see if anyone discussed this quote : “The purpose of life is to experience things for which you will later experience nostalgia.”

I can totally relate to it but it might be because I'm in a mid life crisis.

I'd say my version does not include comparison to others. I actually wish more people try their best to create great things even if what their creations are much better than mine.

My version would be more like :

"Owning a car is very circumstantial. It means you temporarily have some property right on it. It can break, it can be taken away from you. If you create something it's yours forever. Its existence is not independant of your will.".

At the end of their lives some people will have owned ten cars, others will have written ten books.

I can ask you the same question :

How do you ignore friends who write a new book every year?

I have found that instead of wanting things I don't own, wanting to see created things I haven't created yet very liberating.

Since it makes my goals very personal, I can't compare myself on an objective metric with other people and as a result feel less frustrated about not earning more.

Authentication now requires a smartphone or a security key. I have neither...

It reminds me of the day I typed in Google : 'why are women so patronizing?'.

All the results were about men patronizing women. I just checked and it's still the case.

I admit it's not the best but I do almost like you. Graphs are definitely helpful.

I also have a few 'test' queries that insert there results into a 'test_results' table. Most of the queries check the cardinality of the table since to me wrong cardinality is where the biggest errors come from. I do something like :

insert into test_table

select case when count(*) = count(distinct users) then 'pass' else 'fail' end as result, 'test_cardinality_temporary_table_a' as test_name from temporary_table_a

When it comes to ML scalability is a constraint not a goal. The goal is to minimize some loss function and it turns out simple dot product can be outperformed by more complex algorithms.

I remember reading a few years ago that most search engines use some tree based model. If that's the case, that means the idea of monotonic linear weights is not relevant.

All you need to do is scrape the whole internet beforehand.

The article points to a Twitter account named Two-Word Horror. I clicked on it not expecting much, it's actually quite disturbing.

Here are some examples :

> Riemann counterexamples

> Unicode Corporation

> Google Sex

> procedurally-generated regulations

> denim skin

> peak humanity

We're in 2023 so my question is : what happened to this since then ? It should be mainstream by now.