AI
Developing our position on AI - Blog - Recurse Center
recurse.com
when physical labor became optional we invented the gym. we’ll need the same thing for the mind
runaway_volx.comReading habits. Book clubs?
Yes. A few miscellaneous thoughts.
(1) First, the new bottleneck on AI is prompting and verifying. Since AI does tasks middle-to-middle, not end-to-end. So business spend migrates towards the edges of prompting and verifying, even as AI speeds up the middle.
(2) Second, AI really means amplified intelligence, not agentic intelligence. The smarter... See more
Balajix.comCan someone explain to me like I’m 5 how AI will replace the 30-40% of workers who have fake email jobs? The last time we had a wave of automation in office work (rise of the computer) - we just created a lot of new busywork. How is AI any different?
Wild West Capitalx.com
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
Andricx.comWhen 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.
Ben Landau-Taylorx.comTechnological 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.