@AdamRackis Adam most software you and I use will be written by other people, mostly by volunteers creating public goods
It’s not out of line to ask for basic consideration like not being entitled and dunking on people doing the work
devs know their work is a gift & not something they owe
if you’re in your 20s in tech right now, a couple of years spent handing the biggest ass whooping anyone has ever seen to OpenAI, Anthropic, or any known AI startup will give you 10x the career juice of any MBA or graduate degree
(you’ll build the post-llm intelligence paradigm)
I feel like language models use space more than time for representation
that doesn’t necessarily have to be the case
intuitively I’d want the space heavy vs. time heavy trade off to be dynamic at runtime
doesn’t make sense for intelligence to have a fixed resource tradeoff
sometimes people reveal gaps in their world model
Think of software at three levels: surface, function, and value
Think of the ideal distribution between novelty and stability at each level
Do you want the surface to be high novelty or high stability?
When the multiplayer browser demo went viral, I realized it's easy to create charismatic moments.
It was not even a launch. I made it in iMovie in 20 minutes.
But those moments are mostly a distraction from the technological imagination and invention I have in mind.
They certainly don't change the difficulty of the paradigmatic problems.
So, I decided Braid must choose a worthwhile mission: multiplying human agency.
Our allegiance must be to building technology and solving problems that multiply human agency.
Everything else is secondary.
I have great affection for these fringe subcultures in computing, but as I get older, I'm becoming more demanding.
I want the philosophy to be effective out in the world; otherwise, it's meaningless.
Just a bunch of technologists talking to each other. Feckless.
The killer app model fails for intelligence because it assumes problems can be modeled and hardcoded into software.
Intelligence enables the modeling of problems in real time.
Traditional software relies on pre-modeled problems: the creator anticipates a user's need, builds it, and distributes.
With intelligence, software can model problems dynamically, including ones the authors never envisioned.
The value is no longer in the hardcoded features.
Surface, function, and value are becoming decoupled.
imagine hundreds of thousands of knowledge workers start delegating bits and pieces of their work to agents
significant enough quantities to change the kind of projects they can take on
how does this change the nature of the firm
this is on point
the browser shaped thing that actually changes the game will do so because of massive research implications around data, verification, etc
just a feeling :)
not to rub it in, but this is low taste
poor problem selection and doing it six months after Google
steelman: there’s some strategic advantage but it’s a product miss
if new ai os, what can I do I couldn’t do before?