So like, 2-10xing the productivity of someone who gets paid <<< a software engineer? And who is more 1:1 with the profit from each widget? They don't care that much.
But juicing an already extremely juicy fruit? Now that's worth 70x ARR.
https://www.reddit.com/r/NoCodeSaaS/comments/1mvb3tm/chamath...
Professional coders are the only ones who can get anything real out of llms(well, maybe a 19% decrease in productivity but it’s not fake.
Do you have a source on that “impact is monumental for non developers”? Because most of what I’ve been reading is that group is mostly vaporware.
The nature of development work is changing. A project can be 100% written by AI but guided so closely by humans that the process wasn’t much faster. Alternatively, AI can make a project faster by helping with architecture and other things beyond writing code.
When people quote “70% AI coded”, it implies that 100% is some mythical goal that means AI is writing all code unsupervised. But most production AI code at the moment is still developed in lockstep with humans.
They leverage/exploit the fact that it takes time to Verify anything. [Hype-verification gap]
Their theory goes if you use that time delay to beat the drum louder than the next guy you have a shot at attracting more customers, investors, employee, govt support than if you dont. Those who don't do it appear less Ambitious or Capable. Exploit and amplify that also.
Chimps have 3 inch brains. And this is all easier to do than solving quantum field equations. So they do it happily, cluelessly, patting each other on the head about how fascinating they are.
As soon as one chimp troupe (corp) does it well, everyone else does the same, and that's when the entire system experiences a phase transition.
It's no more about what individual chimps or companies say or think, a super structure has emerged, which traps everyone Inside the super structure, into patterns they can't escape.
Stories emerge about what the super structure is then doing. Outsider and Insider stories start diverging. And we get a bifurcation point a moment in chaos theory where one neat line splits into 2, 4, 1000, until you can’t tell what’s signal and what’s noise[1] It’s all feedback where every claim feeds on every other claim, a forest of branches growing out of thin air and verification moves too slowly to prune it.
So what's the message to the kids watching it all and getting absorbed by it? Recognize when you have jumped into the chaos stream between bifurcation and verification. When everything starts to sound urgent, revolutionary, world-changing but no one can show you how or why youre standing dead center in chaos. Stories multiply faster than facts can catch up, where everyone’s pretending to see patterns that arent there yet. The louder it gets, the less meaning there is.That’s your cue to walk sideways. Dont let it drain your attention, time and energy. There are better things to do in life. [1]https://upload.wikimedia.org/wikipedia/commons/thumb/c/c8/Lo...
Terr_•2h ago
I would wager a large portion of that would be both generating and then triaging a certain level of institutional "bullshit communications".
For example, the employee must give daily status updates, and they have a three-item list for the day. They use an LLM to pad out their three-item bullet list into prose that sounds smart and active and impressive.
Then their manager says "TLDR" and uses an LLM to "summarize" it back into almost the original three-item bullet list. Each employee believes they've "saved time" using the tool, but it's a kind of broken-window fallacy [0].
[0] https://en.wikipedia.org/wiki/Parable_of_the_broken_window
_wire_•2h ago
But command of human attention is another matter: it can be quantified and it is command of attention that defines the value of FAANG+
The AI boosters hype it in such terms, both intra-model and extra-model: we track the attention and sell seats in the musical chairs of "investment", leaving it to users to explain the productivity gains to themselves.
It's a circus.
BlackjackCF•2h ago
Our_Benefactors•1h ago
Terr_•1h ago
But whether $THING should be adopted and whether it does increase long-term productivity is nowhere near as clear-cut.
bandrami•1h ago
o11c•1h ago
But most fraud is legal, and most illegal fraud never sees legal action taken against it.
csomar•1h ago
taude•1h ago