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ccortes

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It was comparing to a hypothetical world where everything is perfectly organized, everyone is perfectly behaved, everything is perfectly ordered, and therefore we don't have to have certain jobs that only exist to counter other imperfect things in society.

Jobs that don't provide value for a company are cut, eventually.

Uhm, seems like Greaber is not the only one drawing conclusions from a hypothetical perfect world

People here seem to be conflating thinking hard and thinking a lot.

Most examples mentioned of “thinking hard” in the comments sound like they think about a lot of stuff superficially instead one particular problem deeply, which is what OP is referring to.

Using LLMs at Oxide 8 months ago

Oh wow, is that what you got from this?

It seems more like a non experienced guy asked the LLM to implement something and the LLM just output what and experienced guy did before, and it even gave him the credit

then you're doing the opposite of what the author proposes

No, it’s exactly what the author is writing about. Just check his example, it’s pretty clear what he means by “thinking in math”

Scientific conensus in math is Occam's Razor, or the principle of parsimony. In algebra, topology, logic and many other domains, this means that rather than having many computational steps (or a "simple mental model") to arrive to an answer, you introduce a concept that captures a class of problems and use that.

I don’t even know what you mean by this.

It doesn’t really matter why it’s not working.

It does, because it changes the strategy.

If you think the ads are working and have 10k potential customers then you start thinking about how to increase your conversion rate thinking you could get a chunk of those 10k, you might think distribution is solved.

But if it turns out only 2.5k are real humans then your conversion rate might not even be an issue and it’s just the marketing strategy that needs tweaking.

The whole point is that they are giving you fraudulent traffic which you use as real data to figure out the next steps. If you don’t know it’s fraudulent or how much of the clicks are fraudulent then you are taking decisions under the wrong assumptions.

You can’t stop fraudulent clicks just like you can’t stop your SuperBowl ad from playing while your viewers are in the bathroom

That’s not even a good analogy, we are taking clicks, not impressions.

That’s the point, without the fraudulent clicks you would just move on to some other strategy because the pricing would not be worth it.

Fake clicks give the illusion that ads are working and instead you have to optimize your funnel or whatever else.

Earlier today I was scrolling at the “work at a startup” posts.

Seems like everyone is doing LLM stuff. We are back at the “uber for X” but now it is “ChatGPT for X”. I get it, but I’ve never felt more uninspired looking at what yc startups are working on today. For the first time they all feel incredibly generic

I know a lot of people (including myself) that find blockchain/cryptocurrencies to be great for international money transfers and as a way of saving money using stablecoins with better rates than what we could get on a regular bank.

And yes we know about transferwise and such, it would be cool if it could be used in our countries.

No, de savings are not insured in crypto, but the insurance we get at local financial institutions aren’t that safe either, it only protects up to a certain amount and years can pass before they pay you back if they pay you at all.

Generational mobility from poor to rich is easily possible, but you can only do it through hard work and education.

That doesn't sounds like "easily possible".

The promise of Bitcoin is the idea that individuals, not large financial concerns, have the power.

Bitcoin is not the only cryptocurrency out there.

Besides, the fact that coinbase just had an IPO doesn't mean they control bitcoin, I don't need them or anyone else to move around cryptocurrencies however I want.