EDIT: whoa, I used "way of the future" as a reference to Howard Hughes in "The Aviator", not this Way of the Future religious organization thing I just stumbled on; no intended reference there.

The profitability comparison is fraught but worth noting that by then AWS was already extremely profitable.

Where does it show up in quarterly results?

I can’t see how it’s sustainable just based on “this feels more productive”

Ironically enough the only moat left would be what you can buy from Washington.

So I wonder what the heck were all those billions of AI tokens burnt on that they extinguished it in just 4 months into the year?

It’s not a normal tech adoption curve because AI is not an extension of ourselves like a shovel extends our hands or a car our legs. AI hits deep human instincts about what power means and also our antagonism to other hominids.

"our scientists were so preoccupied with whether they could, they never stopped to ask if they should.

I've now come to the realization that if I'm having an llm work constantly all day writing code for me i'm probably doing something wrong as I'm no longer focusing on the core issue itself.

I may be in a minority here in that I write code to augment my self and not to ship to others so I can tell very quickly if I'm just gold platting something or if i'm actually delivering real value to my trading or risk management.

https://portfoliocharts.com/2021/12/16/three-secret-ingredie...

1) workforce reduction

2) AI spend (reduce tokenmaxing)

They'll expect fewer people to do more with even less, while "more" is continuously increasing.

When I say "more", I mean that the deluge that engineering teams deal with comes from two sources:

1) the business side of companies - marketing, sales, solutions teams, etc.

2) outside actors, mainly security threats

The first source can now move to generate work for engineering faster than ever. They expect the nerds to do what they're told and get the features out now. The more features, the better the product, right? The saving grace here is that they're bound by the same management concerns that engineering has. There's only so much money that they themselves can throw at generating more work for engineering teams, and that might also come under scrutiny from management, so that acts as a brake.

The second source has no such brake, especially not with security threats. Either there's good money to be made by holding company data hostage, or there's an endless supply of resources (read: nation-state resources) dedicated to the effort to attack the company's digital assets. And of course, they're using AI to enable this, just without the "but what about the shareholders!?" handwringing.

If you aren't very, very careful with your token cutting, you're going to put yourself at a disadvantage against that second group.