11–20 of 43 posts
Or you could have more work being outputted that isnt really relevant but is trying to pad up a resume. Same number of people remaining but more noise to see through
Middle managers were not “waste”, they served a social function of creating stability and managing workloads.
I think the proposed “new model” probably doesn’t scale. Also probably a single human can’t comfortably do that many things.
We don’t build orgs to maximally squeeze every drop of productivity and leave behind an empty human husk. Orgs have grown as a negotiated balance between the desire of the capitalist at the top for high productivity, and the desire of the contributors at the bottom for stability. The layers of management in between provide an interface that makes this possible.
We’re going to see a couple years of companies crashing and burning trying this “AI native” thing.
> the cost of executing on a bad why just dropped to nearly zero Ah ok, wait until Anthropic sends you the bill.
All of these inputs are rarely well-defined. that's the crux of the whole agile manifesto
Im starting to think that these days the easiest way to detect frontier model influencer content designed to push a stock boosting narrative and real content is the simple presence of one word: "slop". It matches my other experiences with the PR industry - they'd often have blanket bans on the usage of certain phrases, terms or references to "uncomfortable" events. I'm pretty sure this goes for bots on social media t…
I don't get the second graphic, can someone explain it to me in simpler terms?
So where originally there's a pyramid of why/what/how with increasing effort the lower you go, instead the boss is still in charge and dictates 'why', but everyone else is in charge of wildly vibing up a giant pile of 'what', and 'how' is not part of the company anymore and lives in a blue box of GPUs you pay to get access to. And your job is not to ask why, just to think of ever more things to pay the blue box to do.
In the real world, even back in the days of purely industrial manufacturing such as 3M, there's a lot of value in 'whys and whats' appearing at any level. But if that was the case, then maybe you wouldn't want to delegate everything to a blue box somewhere else where you don't own the ideas it has. And so, the second graphic is sort of a fantasy for what the AI industry would like to see.
AI can certainly look at more user feedback than executives can...
Also peppered with a lot of bad, redundant writing: "That’s the shape I’m watching for. That’s the shape I think wins." - those sentences both say the same thing and you didn't need either of them.
I feel like that indicates they may not have understood HOW to write a coherent and professional article here, or, indeed, an article worth reading. They clearly understood WHY - they wanted lots of attention and to show how big of an AI booster they are but WHAT they wrote was a lot of gibberish because they didn't know HOW to write.