Training the AI to write better LiveCode

[Richard Gaskin]

It's not possible to talk about software's current Second Industrial 
Revolution without talking about the lessons learned from the First 
Industrial Revolution.  And it's not possible to talk about the benefits 
of the First Industrial Revolution without including the Labor Wars that 
eventually made the gains useful for more than a fee.

And since this list is about LiveCode, I'll step off this train here.

But Geoff, you're always welcome to call me and we can discuss the 
history and the future anytime. I value you and your ideas, as always.

-- 
  Richard Gaskin
  Fourth World Systems




Geoff Canyon wrote:

> Those only interested in LiveCode, click "next" now.
> 
> On Sat, Jan 21, 2023 at 10:40 AM Richard Gaskin via use-livecode <
> use-livecode at lists.runrev.com> wrote:
> 
>>
>>     After all, the Codex had been trained on billions of
>>     publicly available source code lines – including code
>>     in public repositories on GitHub. That included, among
>>     other things, all of the Apache Foundation's many
>>     projects' code.
>> https://www.theregister.com/2022/11/11/githubs_copilot_opinion/
>>
>>
>>     Stability Diffusion, Midjourney, and DreamUp were
>>     trained on copyrighted materials without credit,
>>     compensation, or consent, according to a new lawsuit.
>>
>> https://www.pcmag.com/news/artists-sue-ai-art-generators-for-copyright-infringement
> 
> 
> My not-a-lawyer understanding is that this lawsuit is almost guaranteed to
> fail. Just from a conceptual perspective, human artists have access to the
> same copyrighted material (albeit not the ability to ingest *all* of it)
> and even the ability to mimic it for their own edification. It's the act of
> publishing similar work that is problematic. And it's going to be fun for
> the lawyers to sort out who's at fault if I use Stable Diffusion to create
> a corporate christmas card that happens to resemble the Coca-Cola polar
> bears.
> 
>  > We're a very long way from attempting to write all apps in assembler
>>  > using this sort of AI.
>>
>> Are we?  As late as my teens I was still reading science mags saying
>> "Well, AI is going to be a big deal, but no machine will ever beat a
>> human at something as complex as chess."
>>
>> Big Blue beat world chess champion Garry Kasparov less than two decades
>> later.
>>
>> So the goalpost moved, with explanations like "Well, chess is ultimately
>> a memorization task, but no computer can ever beat a human at something
>> as abstract and intuitive as Go".
>>
>> Google's DeepMind beat Go champion Lee Se-dol in 2019.
>>
>> I would caution against underestimating how CS advancements accelerate
>> further CS advancements.
>>
> 
> If anything I think those examples undersell how quickly this is going to
> proceed. I'll be very surprised if GPT-X (not an actual name) isn't
> human-capable for a broad range of programming tasks by 2025.
> 
> So how'd that First Industrial Revolution turn out? ;)
>>
> 
> I know you're just being cheeky here, but to make it explicit and let
> others disagree if they wish: the First Industrial Revolution turned out
> *great*. "Some economists have said the most important effect of the
> Industrial Revolution was that the standard of living for the general
> population in the western world began to increase consistently for the
> first time in history" (others say it began right after). "Economic
> historians are in agreement that the onset of the Industrial Revolution is
> the most important event in human history since the domestication of
> animals and plants." https://en.wikipedia.org/wiki/Industrial_Revolution