I often wonder why Hypercard had to die.
It was because Jobs wanted the Computer to be an Appliance. A thing only used in prescribed ways.
Letting people build their own tools means letting people control their own destiny.
If I can make what I want, or if someone else can make what they want, and then I can take it apart and improve it, why would I pay for an upgrade? Why would I pay you to build something that doesn't meet my needs?
Hypercard, if your unfamiliar, is powerpoint + instructions.
Here's a great introduction/example: http://www.loper-os.org/?p=568
The author walks you through building a calculator app in about 5 minutes, step by step.
Warning: There's a bit of ableist language tossed around in the last paragraph. Skip it, there's nothing worth reading there anyway.
You use the same kinds of tools you would use to build a slideshow, but you couple them with links, multimedia, and scripting.
Want a visual interface for your database of client data? Great! slap together a roladex card, and drop in a search function.
Go from concept to presentation ready in an hour or two (or less, if you've done this before!)
My nephew has an ipad.
He asked his dad how to write games. His dad didn't know. His dad asked me how to write games on an iPad. I told him not to bother.
My nephew asked me how to learn to write games.
I gave him a raspberry pi and a copy of pico 8.
Now he writes computer games.
He couldn't do that on his iPad.
The last 10 years of development in computers were a mistake. Maybe longer.
Instead of making computers Do More, or making them Feel Faster, we've chased benchmarks, made them more reliant on remote servers, and made them less generally useful. We brought back the digital serfdom of the mainframe.
In the first episode of computer chronicles (https://www.youtube.com/watch?v=wpXnqBfgvPM) the mainframe guy is real adamant about how mainframes are good and micros are bad.
The host, a microcomputer legend, disagrees pretty strongly.
Later, when they talk about the future of networking, the mainframe guy talks about it as a return to mainframes. The micro guy talks about BBSs, peer to peer networks.
The mainframe guys are winning.
@ajroach42 I want to respond, elaborate, & discuss at length here. I spent about 10 months some years ago immersed in the computing literature around the history of debuggers, during which I went from EDSAC to Visual Studio, but also all the other half-dead ends ends of computing history such as, e.g., Lisp machines.
Naturally, I came out of it a Common Lisper, and also naturally, with Opinions about modern computing.
Up for the discussion? It could get wordy and over a few days. :)
@pnathan for sure.
I haven’t gotten in to lisp machines yet, but I’m always down for discussion.
First, I want to say this: older computer systems - considered as systems - were generally more capable.
But to be clear, they were limited in use for those who didn't take an interest in learning them. I'm talking about things that weren't Windows 3.1+.
@ajroach42 @ciaby This was the Great Debate that was largely won by Microsoft. "Everyone can 'use' a computer.". That is to say, everyone can operate the appliance with preinstalled software. *everyone*. Apple pioneered the notion, but it turns out to be the preferred mode for businesses, who really rather don't like having specialized experts.
When you have sysadmins, there are no driver problems. There are no printer problems. There are no problems, as a matter of fact: it's all been taken care of by the admins.
This is exactly how executives like it.
Apple does the same, with their iPhone.
Apple is the sysadmin, metaphorically.
I am employed as a support engineer and a sysadmin, and I still run in to driver issues, printer issues, etc.
I take care of them, eventually, when I can.
But, even after doing this for 10 years, I still encounter problems that I can't solve (because there isn't a solution.)
but the metaphor of Apple as sysadmin, I'll accept. I disagree with someone else admining my phone, but that's another issue.
Hi, I'm probably near the age of @pnathan, and while I'm not a lisper anymore (ages went from my emacs fluency) I agree with all he said.
To give some context, I'm a polyglot programmer currently working on a brand new operating system http://jehanne.io
Now, the assumption that you seem to share is that people cannot learn how to program. I used to think this too.
Now however I realized that it's like we were scribas of Ancient Egypt arguing that people cannot write.
Why peasants were unable to write in Ancient Egypt but they are able to now?
I think the main reasons are:
1. the writing system was too "primitive"
2. writing was functional to the #power structure back then.
What does this means for us?
here is where I disagree.
the complexity of understanding the "web stack" is incidental; the compelxity of understanding the concept of distributed computing and comms protocols is fundamental.
or something as simple as rendering bits to the screen. raster? vector? what abstraction do you choose to execute the display mechanism. now you have a model.
For sure, "computational thinking" is as hard as #math is.
For sure, hardware issues exist.
The way we #think is strongly dictated by what we know.
We should get and habit to #challenge them.
what is simple? is it the ability to point and click a mouse? is it a keyboard key?
both of those have deep wells of complexity and knowledge to make happen, despite surface simplicity.
or is it a transistor, which accumulation of produces unspeakable complexity?
there isn't a bright line between programming and passive computer use. all UIs are programming languages. most are simply shitty, overly constrained languages that make simple tasks nearly impossible.
@pnathan @ciaby @ajroach42 @joeld @Shamar You're right. They describe the difficulty of solving a problem with a tool vs the inherent difficulty of that problem -- which is essentially an inverse of the learning curve for tools that can address all problems. Tools that fail by making tasks that aren't easy impossible, of course, have a misleadingly good-looking learning curve.
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