I love how the "pseudoscientific" word gets busted out anytime an understudied area of research is presented. Keep in mind that the state of science in 1000 years from now will prove all sorts of things that hyper-rationalists might scoff at today.
I'd say this is a bit akin to whether people can feel the weather in their bones - biometeorology. The only difference is that the airplane creates a temporary, highly artificial "weather" environment. But I think it's important to include the physical interactions between that environment and the one outside of it, and not only account for interior conditions like air pressure, etc.
We'll probably learn a lot more about this if we ever make it far enough as a civilization to have a shot at long distance space travel, i.e. to Mars.
This gets into how advanced the prompt engineering actually is. I anticipate discussion around what "state-of-the-art" prompts look like, since, as the OpenClaw founder suggested, Prompt Requests may well replace Pull Requests when a set of small tweaks to the prompt may yield vastly improved output.
This of course needs to be coupled with actually staying accountable for what the entirety of the codebase looks like. I imagine many people are unwilling to slow down enough to actually do that accounting/review, and the architecture might gradually shift towards entropy.
Has anyone else found a similarity between how you feel at the end of a long AI coding session, and getting off of a long haul flight? I think the reasons are similar.
On the flight, it's not exactly like you directly feel the wind going through your hair as you travel 1000km/hr, but your body still knows that you did. You feel the lag immediately, not really due to a time zone difference but due to how unnatural it is to move so far in so short a time.
I feel the same way after a highly productive AI coding session. I used to anecdotally mention to others that I liked to maintain and use older machines because it felt nice to get little breaks here and there while the machine took longer to open a browser/app, return search results, render a file, etc. This is the opposite of that. Everything is happening so fast, your mind is taxed differently than if you are responsible for typing everything yourself... no matter how fast you could type code.
That said, I don't think it's entirely my increased cognitive load that makes me feel drained after a session, it's as though you can somehow feel the token burn, the water/electricity use, just as you somehow felt the wind shear on the airplane you were just in for many hours.
Maybe they wanted to see if any individual efforts piqued the interest of the reader base. In my case, it was FlipCTL that did so. I definitely think a generic library for hardware button interfaces to a menu system not requiring windowing is a great resource for resource-constrained embedded projects, so I'm looking forward to contributing to this.
I wouldn’t call this 3blue1brown video a reference, but until I watched this (coming from an audio background), I didn’t quite grasp that a continuous stencil of any complex silhouette could be described in terms of a set of contributing vectors. Helped click that there is a perfect visual analogy to the deconstruction of complex audio to sine waves.
Exactly - I have done a number of research studies focused on how musicians do or do not develop robust memory models of the pieces they learn, based on how they practice, and the data consistently pointed to a correlation between robustness and practice approach.
Anyone who has taught piano for example knows the most common mistake of novice students is to omit sharp or flat notes (the black notes) when learning notated music which begins to include them. In this case, the student will practice the wrong notes for long enough before their next lesson that the wrong notes become engrained in their memory model, resurfacing under duress such as in recital. There are similarities for other instruments (strings: intonation, woodwinds: embouchure, percussion: rhythmic accuracy, etc.)
The most talented students seem to gravitate consistently towards robust memory models for their respective instruments technique as a way of freeing themselves up as quickly as possible for the more enjoyable aspects of perfecting a piece of music: refining expression.
Perhaps one day there will be tools which can assist those less naturally predisposed to developing robust memory models, before it's too late for their brain, the way the most talented students do.
I have been studying this problem as it developed over the past decade (mobile revolution), and am torn between the two perspectives on it.
What desktops and laptops afforded that mobile takes away, 8 usable fingers aside, is the factor of dedicated computer use (reduced context switching with non-mobile), providing a much better opportunity to keep predominant brainwave patterns away from the "fight or flight" state historically associated to rapid context switching.
Therefore there is one categorical problem (excessive computer use) that is indeed shared across mobile and non-mobile computational platforms alike, and we can point to the people who used their desktops or laptops so much that it could be considered unhealthy, all well before the mobile revolution.
At the same time, the modern epidemic exacerbates the problem by not only summing total computer time between mobile and non-mobile, but there is added the additional factor or rapid context switching which is nearly unavoidable with mobile platforms.
If that wasn't enough, there is also evidence that these newer behavioral patterns are bleeding back from mobile into non-mobile computing, meaning that people are now using desktop/laptops as though they were mobile platforms, rapidly context switching when 10+ years ago they simply did not do this.
Altogether, the evidence indicates that you are right overall, the smartphone was a catalyst to a change in how the internet is interacted with which is the real problem by and large, but conversely, we might be able to use both mobile and non-mobile platforms in a way which minimizes context switching and in so doing restores healthy beta brainwaves rather than encouraging the unhealthy "fight or flight" patterns indicative of this modern (first world) epidemic.
I'd say this is a bit akin to whether people can feel the weather in their bones - biometeorology. The only difference is that the airplane creates a temporary, highly artificial "weather" environment. But I think it's important to include the physical interactions between that environment and the one outside of it, and not only account for interior conditions like air pressure, etc.
We'll probably learn a lot more about this if we ever make it far enough as a civilization to have a shot at long distance space travel, i.e. to Mars.