What? This isn't controversial, Snowflake did this years ago and this is the main reason it became a $40B business.

Amazon came out with Redshift, a cloud OLAP database, but it tied compute with data so teams couldn't scale compute and data separately and thus had to pay disproportional costs to their required workloads.

Sure, there's good reasons to keep compute and data together. But there is obviously a massive market for technologies that keep them separate...

Snowflake is a BI data platform, which doesn't require low-latency and fast response like systems powered by RDBs do.

Apples and oranges.

I believe you were the one who implicitly started the apples and oranges comparison with your original post

> "no. Just no."

Conveys the feeling that there is no scenario where doing this is feasibly and you yourself just said it's acceptable for BI but not AI training.

So the "no. Just no." actually means, "my use case does not allow for this, so I believe no one else should use this" which is a fallacy on its own.

In conclusion, this is fairly usable, but like everything else, it's not for all use cases.

Depop is hugely popular. Every 20s girl knows about Depop. HN is just not the demographic.

4m buyers and 2m sellers according to the FT.

neeva? maybe brave search in a few months?

Always a reason to criticize everything.

It doesn’t seem misleading to me, they explicitly said “How I used GPT-3”, not “How GPT-3 generated”. (Unless they edited the title)

Sometimes people infer things that aren't strictly speaking logically implied. That doesn't make it not misleading, if it reliably causes people to make those inferences.

It's implying a direct causal effect to getting to the front page, which given the article argument is not well supported.

You are correct, but I would still agree that it is misleading to some extent.