Killer framing. This is the point, this is the thing. Extremely well set up, beautifully crafted words, on the utmost of topics. Would that we be getting anywhere here!
> Subordinated to an authentic pursuit . . . Diving into a brick wall.
Alas software usually is the wall, keeps us from grasping true understanding & development. Interface most often is a wrapper high above the core of software. We trap users, keeping them away from authentic & self directed experience.
There was a great submission hours before on Enlightenmentware, on softwares that have enlightened us. Letting users into the natural philosophies underlying software, bringing software from "wizards" and "just works" to an age of reason for users. I think this underlies everything setup here; it's the tales of systems that fomemted implicit learning well! https://news.ycombinator.com/item?id=40419856
> Learning by emersion works nautralistocally when the material has low enough complexity relative to your prior knowledge that you can process it on the fly . And natural participation reinforces everything important giving you fluency when those conditions arent satisfied - which is most of the time - you will need some support. You want to just drive in and you want learning to just work.
This is such a beautiful capstone for the bridge IT ought be building. It speaks to the need for general systems research, new (or improved I guess) systems for operating many processes (and their sprawling subprocesses/subroutines/promises) and seeing them run. It necessitates being free to take that live world and tinker and run and rerun experiments. With safety (and the already spoken of visibility). Opening the option to become acquainted with capability and intent.
I'm less clear on the guided parts. But my thesis is that software fails to have sufficient starting conditions for most of these good implicit / guided learning loops to begin. We are trapped in a place where everything is arbitrary interface & none of it is learnable at all (to any honest depth). So we have no mental leverage to begin building mental muscles with.
This speaks deeply to me, as the shame of our industry & the shining endless journey we should be so excited to be exploring. That we haven't been trying for broader software ecosystems, for more visible and malleable software is a resounding quaking mystery. This is the great open ended quest, is the real journey of what we are doing, and we are not only flat failing to heed the call of this grand adventure, we are worse, to its detriment, building infernal machines that trap us. Even before machine learning, we were already far down the winnowing closing path spoken of in Dune, and some day I hope the sleeping computing world might awaken from this slumber,
> Once men turned their thinking over to machines in the hope that this would set them free. But that only permitted other men with machines to enslave them.
This talk sets up the greatest call for computing humanism that I have ever read. Throwing off the spheres of control & helping each other reach to the poles is the point of these days is the point, and computing's chance to be the vanguard pushing that forward is colossal, and keeps rising & getting yet more possible.
> Subordinated to an authentic pursuit . . . Diving into a brick wall.
Alas software usually is the wall, keeps us from grasping true understanding & development. Interface most often is a wrapper high above the core of software. We trap users, keeping them away from authentic & self directed experience.
There was a great submission hours before on Enlightenmentware, on softwares that have enlightened us. Letting users into the natural philosophies underlying software, bringing software from "wizards" and "just works" to an age of reason for users. I think this underlies everything setup here; it's the tales of systems that fomemted implicit learning well! https://news.ycombinator.com/item?id=40419856
> Learning by emersion works nautralistocally when the material has low enough complexity relative to your prior knowledge that you can process it on the fly . And natural participation reinforces everything important giving you fluency when those conditions arent satisfied - which is most of the time - you will need some support. You want to just drive in and you want learning to just work.
This is such a beautiful capstone for the bridge IT ought be building. It speaks to the need for general systems research, new (or improved I guess) systems for operating many processes (and their sprawling subprocesses/subroutines/promises) and seeing them run. It necessitates being free to take that live world and tinker and run and rerun experiments. With safety (and the already spoken of visibility). Opening the option to become acquainted with capability and intent.
I'm less clear on the guided parts. But my thesis is that software fails to have sufficient starting conditions for most of these good implicit / guided learning loops to begin. We are trapped in a place where everything is arbitrary interface & none of it is learnable at all (to any honest depth). So we have no mental leverage to begin building mental muscles with.
This speaks deeply to me, as the shame of our industry & the shining endless journey we should be so excited to be exploring. That we haven't been trying for broader software ecosystems, for more visible and malleable software is a resounding quaking mystery. This is the great open ended quest, is the real journey of what we are doing, and we are not only flat failing to heed the call of this grand adventure, we are worse, to its detriment, building infernal machines that trap us. Even before machine learning, we were already far down the winnowing closing path spoken of in Dune, and some day I hope the sleeping computing world might awaken from this slumber,
> Once men turned their thinking over to machines in the hope that this would set them free. But that only permitted other men with machines to enslave them.
This talk sets up the greatest call for computing humanism that I have ever read. Throwing off the spheres of control & helping each other reach to the poles is the point of these days is the point, and computing's chance to be the vanguard pushing that forward is colossal, and keeps rising & getting yet more possible.