That’s the sweet spot, honestly. It’s less about whether an LLM can crank out scaffolding faster than someone fluent in JavaScript and more about what it unlocks: the ability to collapse “thinking about it for months” into “there’s a thing I can actually click/play with.”
That’s the core of what I was trying to name with the 12-month bug: our tendency to loop in abstraction long after execution could’ve started. Doesn’t matter if the code’s rough; the point is you crossed the boundary. From there, the real operating system is iteration.
If it’s useful, I wrote a companion post called Stuck Theory: Resistance as Fitness Function. Similar~ish meta-conclusion. For me the blog as a whole is a running attempt to debug how we keep pushing dense, sometimes unwieldy information down our own neural pathways while AI is gradually offloading the lighter parts of cognition. Thanks for reading!
If it feels opaque, you’re in good company. One of the core ideas I work with is that part of what lets us “stay ahead” cognitively is embracing density: not because every idea must be immediately digestible, but because wrestling with dense models (math, theory, abstraction) builds the muscle. You don’t need to grasp every LASSO coefficient to feel the weight of what constraint means. And yes — Pop-Tarts are more than fine (those Hariboesque gummies recently dropped at Trader Joes is that for me.)
We all need something simple now & then when the brain’s been stretched.
Yes, exactly. That sense of “secret of the universe encoded in a proof” is what I was trying to put words around. I know the jump from RIP to consciousness is huge; I’m not claiming a formal bridge, more that the shape of the constraint feels like an echo of something lived. A kind of resonance between mathematics as a language of limits and consciousness as the negotiation (or compilation?) of them. Your PhD work & courses with Candés as grounding makes you uniquely able to sense when leaps are being made. Thanks for your comment!
I had the same remark; "why on earth another Chat Widget company?". I guess you could communicate better on the service by adding some sort of graphic (user comes to your site, we do this, we do that, ...).
Reminds me of Season4's Ep3 (Two Girls One Code) of The Good Wife.
Two startup founders who developed voice recognition software were negatively affected by tweaked search engine page ranking of ChumHum after refused being acquired.
The Good Wife takes lots of stories from real life. I'm thinking specifically of the episode when a show (like Glee) lifted a cover of a song (like Baby Got Back) from an artist (like Jonathan Coulton) who didn't technically own the copyright to the lyrics or melody.
On the front end, I rolled my own custom framework. I use Handlebars for templating and various mini-libraries for some functionality (shout out to Modernizr, Isotope, and Bespoke :) in addition to jQuery. For CSS I use Compass/SASS. I actually wrote a blog post about it (http://blog.mightyspring.com/post/58803131171/purposefully-a...)
That's pretty cool! Figured about Python (saw gunicorn in HTTP headers).
What blew me away, is the fact that you're using a custom framework for the user on-boarding complex/heavily-ajaxified UX... I'd be willing to get updated about how does that scale up!
To be honest, the onboarding experience is pretty silo'd in terms of scripting, although we're thinking about using the same functionality (guided walkthrough) for other parts of the experience, so I may refactor it for reuse elsewhere :)
That’s the core of what I was trying to name with the 12-month bug: our tendency to loop in abstraction long after execution could’ve started. Doesn’t matter if the code’s rough; the point is you crossed the boundary. From there, the real operating system is iteration.
If it’s useful, I wrote a companion post called Stuck Theory: Resistance as Fitness Function. Similar~ish meta-conclusion. For me the blog as a whole is a running attempt to debug how we keep pushing dense, sometimes unwieldy information down our own neural pathways while AI is gradually offloading the lighter parts of cognition. Thanks for reading!