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Looks like New Mexico wins in multiple ways if this is upheld.
Deep artful craft requires inhabiting work beyond basic professionalism and requirements. You set aside self and ego and commit yourself as a tool to create.
It’s a value system created via example and culture. We have to be ready to prioritize reflection and learning, meaningful feedback, dialogue, certain kinds of humor even.
So it’s sadly not healthy or sustainable in many settings.
Edit: thank you for this post. It was a nice humanist reaffirmation.
Or as engineers know: sometimes legacy code doesn’t initially appear to do anything, but then messing with it has unexpected effects.
So the solution tends to be learning how to avoid injury (boundaries, mental health), and/or a bigger change in the conditions. I think this post is mostly about the latter.
In my experience it’s designed around a make/build/experiment pedagogical approach, not as a bootcamp system to get kids into programming careers
What I found irritating in the post is the premise that what we put in front of kids should be judged by counts of attributions to career success.
I think the bet is that you offer enough value-adds that companies who find traction don’t want to switch to something enterprise grade, and you grow into being enterprise grade with them.
Very similar to Stripe’s trajectory, incidentally.
Yes, I’m curious just how much of the scaling issues might be self-inflicted.
Also I’d like to see the distribution of usage. I’m guessing a relatively small portion of accounts are responsible for the majority of load.
Well said.
What I was hoping to convey in the last two paragraphs was that I was trying to be thoughtful with where I use AI (work project where I did the initial thinking and setup and the agent does a lot of review and aggregation and reports back) and where I don’t (reflecting and writing). And the hope is that if I pay more attention to my values and priorities, I will make better decisions about my goals and how to achieve them, and maybe I’ll get more value out of both the tech and the process.
None of this is strictly new or limited to effects of AI. There has always been a process vs outcome calculus. But some of the parameters have changed in the past few years and I think we need to adjust.
I wonder about the transcendence take as well. I think a lot of us are strapped into this ride regardless. If there’s a fresh new paradigm awaiting, I hope it’s a good one.
But my main observation is mostly personal: I get taken in a lot by technology waves, hoping things will get better, but I haven’t ever crisply defined “better.” Or my criteria has been too loose and I conflate novelty with progress. If advanced models eventually accelerate science and medicine so that more people can lead healthy fulfilling lives, that sounds a lot better. But if a model helps me use an undocumented API of a random IoT device tomorrow, I don’t think anything is much better, and I didn’t even get much out of the process. When efficiency isn’t paramount, I’m often not clear on when to take the shortcut versus when to do the work.
You see a version of this in every tech boom cycle, but this one is way more reflexive.
Mature technical software projects are slow moving because they have real users building other real software and businesses with them. Their engineering involves navigating the ecosystem and dep and compatibility constraints.
Any project moving super fast pumping out PRs either isn’t burdened/blessed with real usage OR doesn’t care about (reap real value from) the users it has.
Related theory is that the LLM “labs” are actually not particularly incentivized to prioritize stable API surfaces. They want machine interfaces to constantly rapidly change so that we must depend on model based natural language surfaces to navigate the complexity.
But people can and do tell you what is worth making. Taste is largely set by class and power. The “skill” is having the right context (wealth, education, network) and then pattern matching on it.
Parchment is a writing surface made of animal stuff. It lets people not have to remember certain things. They can write those things on the parchment.
Paper also lets people write things on it so they don’t have to remember them. Paper is cheaper than parchment. And it isn’t made from animals.
Do we just want parchment?
No. We want paper.
Clearly there were a number of factors contributing to his difficulties, but this sounds like it may be an underestimated one, maybe more than the mushrooms even. Cannabis dependency really can sneak up on people, and for some it’s quite difficult to get off it, with real physical and emotional symptoms.