AI
We have to take the LLMs to school.
When you open any textbook, you'll see three major types of information:
1. Background information / exposition. The meat of the textbook that explains concepts. As you attend over it, your brain is training on that data. This is equivalent to pretraining, where the model is reading the internet and accumulatin... See more
I need a good image to symbolize the Whispering Earring
it’s only going to become more relevant https://t.co/SWNMrqHpev
Convenience can indeed become a burden
I’d be surprised if, in a decade, “designer” and “engineer” roles are as common as they are today
With widespread AI use, it’s more likely the relevant specializations would re-organize around business concerns (like sales/marketing vs R&D vs operations), rather than around tooling differences (like Figma vs IDE vs cloud console)
I expect many ol... See more
When the first steam engines were introduced, the owners had a really hard time finding people to operate them who wouldn't get drunk in the middle of the day, fuck up, and wreck the machine.
Technological change is only possible with societal (behavioral) change
To use databases, you need to be able to think about your data in a structured way. The people who could do that gained most of the leverage from using databases. The folks who made it easy for people to transition to databases (ERPs and Co) captured the rest.
AI systems are fundamentally scalable decision making engines. And data is the oil required to power it. If you want to properly leverage AI, you need to make sure you're fueling it with the best refined data.
Otherwise, you're no different than the drunk trying to reliably operate complex machinery. The only repeatable part of that is injury.
AI is the new plastic
notion.so
There is beauty to naturally occurring material… and thought
It's becoming increasingly evident that in many circles, AI is not perceived as merely a technology, but as "something else" entirely. This misconception is exemplified by the recurring debate: "Humans vs AI." To illustrate the absurdity of this framing, let's replace "AI" with "technology":
"Humans vs Technology"
This reframing immediately highl... See more
When is AI useful in the real world?
milan.cvitkovic.net
“AI is useful for a real-world task only if the cost for the AI to do the thing and for you to check its work is less than the existing solution.”
AI follows auditability
grantslatton.com