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abhinai

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I respect ACLU but this article seems a fair bit biased. They're stretching the imagination quite a bit in some of their examples. Seems to me that someone has already made up their mind and are now looking for any example to support their narrative.

I'd love for them to build a case more impartially and drop the activist nature of the language they use.

He said “anecdotally”. In any case, I was wondering that if I know a friend who does this, how could I ever present a verifiable citation for it? You may have to rethink your ask.

This is a very neat idea. I am not sure why the page needs to load 40mb of data and make me wait 5 mins before the first view. I'd probably also add some ranking criteria to surface good quality articles that maximize the "I learnt something new today" factor. Overall kudos to the developer for original thinking.

Most of the commands you've mentioned have worked fairly well for me. Are you sure you're looking up cp, mv and find every time before using them? Sounds pretty weird.

Happy BuyNothing Day 12 months ago

I'd heavily expand on the selection. Maybe even make them AI generated with beautiful designs so people can go through an endless catalogue. Dream. You may be on to something and this may be bigger than your original idea. You could help people dream about stuff that does not exist.

Founder Mode 2 years ago

Have you ever run a company or are you just sharing opinions based on what you “think” should be done?

Founder Mode 2 years ago

Unfortunately it was not recorded. We were all wishing it were recorded. PG asked me to write down everything I could remember before I forgot.

Why we bootstrap 3 years ago

"If you have VC backing (they force their ventures to use each other's products), .."

I never met a VC that did that. Perhaps 1 VC in 20 does that? This sounds more like an excuse.

Why we bootstrap 3 years ago

Not true. A certain segment of the population (early adopters) do not care about polish and these are the customers you're looking for. You really do not want to spend a long time polishing something that nobody cares about. This is the YC advice even today.

Fully connected neural networks are hierarchies of logistic regression nodes. Transformers are networks of SVM nodes. I guess we can expect networks of other kinds of classifiers in the future. Perhaps networks of Decision Tree nodes? Mix and match?