[jksmith]

"An elegant weapon, for a more civilized age." Heavy opinion: Combined with AI, there is a story for unified app development. Something like Ada for the L1 and trust reciprocation, then something that creates app domain vocabularies for L2 development. That of course would be lisp.

[lispitillo]

Sorry, but I don't get the meaning of your phrasing. I think that to use AI you must be very explicit and clear about what you want to design, and if Lisp provides some advantages one should define accurately the specific tool to use and when, how, and why.

I recall Norvig mentioning that other computer languages have taken many ideas from Lisp, those languages are also in the new civilization. Just to give an example: destructing-bind, apply and others are now done in javascript with a shorter syntax, and javascript without macros has excellent speed.

[Jtsummers]

The quoted portion is a reference to an XKCD strip from earlier this century, https://xkcd.com/297/, which is a reference to Star Wars.

Their use of L1 and L2 should be read as "L" as "level" L1 is lower level, L2 is higher level. They're suggesting using Ada (or some other well-suited language) for the lower level trusted systems language and Lisp for the application language.

What it has to do with AI, I don't know. People want AI everywhere now.

[jksmith]

Exactly. So let's expand. A good reason to have AI everywhere is that it is capable of giving you a fair answer for just about anything. So ask it to do some data analytics stuff, like what Tableau or PowerBI can do. It can provide maybe 60% of the same functionality that most users require (provided data access, blah blah). Ask it do patient pre-triage. It will get you within 60% of a ballpark answer. Ask it to diagnose a car problem, or a crop rotation plan. Once again, it get's you in the ballpark. So what I'm suggesting is, the current state of the art has no Dunbar limitation and no bias toward any particular domain. It's like a 10k person team that doesn't care what it's solutioning (L1). Generalize the L1 to provide high assurance foundational functionality (workflows, custom workitems, some general way and tools to get from a strategic opinion to an executable fact).

People are still limited by Dunbar's number, so they need domain specific vocabularies to help them describe solutions to smaller groups. Maybe a direction exploitable by lisp at the L2 level.

But with an AI native L1, it doesn't care about the domain but would need to hold up the whole organization. Ada assurance. So it produces a 60% solution that has to be consumable by any particular L2. Multiple enterprise apps with a common base layer. No need to provide connectors or bridging apps for separate ERP, SCM, BI, HR vendors. Complete line of site, real time analytics and real time budget adjustments, eliminating need for budget cycles. It's kind of the Deus Ex God app. Deprecates need for separate Salesforce, Oracle Fusion, Tableau apps, separate vendor expenses, etc.