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> Could somebody explain why there is so much negativity towards Thinking Machines in this thread?

I think it lies at the intersection of a lot of topics where HN comments are hostile: VCs, large fundraising, AI, OpenAI related employees. These are all topics where HN comments are more hostile than pragmatic.

Most of the hostility is just a proxy for “VCs bad” banter.



> HN comments are more hostile than pragmatic

In the case of a bubble, hostility is pragmatism.

Of course, nobody knows that it's a bubble, but nobody knows it's not a bubble either.


I've lived through 3 and read up on at least 10 more.

Many people know it's a bubble. You see lots of HN comments that it's a bubble. We certainly did in 2007.

In a bubble, the predominant notion is not "I wonder if it's a bubble", but rather "It's a bubble, I hope I can make my money before it pops". A perfect example of this was the Tulip craze in the Netherlands. Nobody actually believed tulip bulbs were worth that much, they just wanted to find a bigger sucker to make a profit, if you read accounts from the time.


This. Ans that's why we even manage to reproduce bubbles in a very simple simulated environnement among finance students who know exactly how overvaluated their assets are (I can't find the paper right now though…)


No, you're predicting that it's a bubble based on past events. It might be likely that it's a bubble. But nobody knows the future, no matter how confident they are.


What is the false positive rate? Broken clock...


Bears predicted 11 of the last 3 recessions or something.


Bears as in... bears, the animal?


In the context of economics, bears and bulls are people who have a negative/ positive outlook. Something looking bearish means you have a belief that it will go down. Something looking bullish means I you believe ut will go up.




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