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Like this? https://www.thinkgeoenergy.com/vulcan-energy-achieves-drilli...

Economic viability depends on many things, lithium prices have been pretty volatile in the past, battery production in Europe as customers are just scaling up.



It’s not 100% of oil production capacity that is lost, but 20%. You need to cut demand by that, so electric cars can help extremely, because most oil is consumed during car use, not production.

They were saying, if you want to see the end state of lack of oil. Like how would it look if your oil spigot were turned off? A lot of people haven't thought about it.

> This isn't any different than the "person who wrote it already doesn't work here any more".

It is very different. With empathy you can often deduct why people wrote code the way they did. With LLMs there often is no reason.


I think you cannot take the step from any turing machine being representable as a neural network to say anything about the prowess of learned neural networks instead of specifically crafted ones.

I think a good example are calculations or counting letters: it's trivial to write turing machines doing that correctly, so you could create neural networks, that do just that. From LLM we know that they are bad at those tasks.


Much simpler: just store session ids in Redis.

I skimmed over the previous articles in this blog and they don't seem to mention the one use case JWTs were made for: having a separate authentication server from the application server. Most developers will only need this for integrating into corporations with single sign in or social logins (sign in with Facebook/google/apple...). There you won't write the authentication server but integrate with them. Session Ids are dead simple to get right securely. Just use them.


That's the idea behind it. The reality is that patents are written in a way to reveal as few as possible while blocking other companies as much as possible.


The pharma industry begs to differ, the generic drug industry is massive


There's another perspective you can see in the comparison with the dot com boom. The web is here to stay, but a lot of ideas from the beginning didn't work out and a lot of companies turned bankrupt.


The original concept of the web, hyperlinked documents originating from high-quality institutions, is pretty much dead. Now we have an application platform that happens to have adopted some similar protocols and is 99% slop


It wasn’t surprise me if a lot of AI companies go bankrupt.

However some will survive, and there will be far more bankruptcy and downsizing in the industries replaced


Did you try the new models that came out in the end of last year? -- It's not just progress it's a breakthrough. /s


The problem is that you get a vastly distorted picture because of different survivorship rates of artifacts. In the Stone Age people used mostly wood tools but stone tools didn’t rot away.


Quite.

> Balance would be nice, yes


The exact numbers certainly would be different today, but you would probably still see the effect that there’s an overestimation of productivity


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