Restoring Medley Interlisp: running well on modern systems

at Interlisp.org

and on GitHub (and see issue list)

It's great to work with old friends, as if 30 years hadn't passed. 

We have a lispcore@googlegroups.com and interlisp@googlegroups.com mailing lists and weekly zoom calls.

Using old code feels like driving a vintage car. The quirks are more noticeable. I'm hoping we can smooth some of the rough edges of using it on different platforms and also bringing up some of the applications built in Interlisp. 

Shown running on a $60 Raspberry Pi (lower left) about 50 times faster than a 1982 Dorado.

Building AI with computation and data distributed using cpus of autonomous vehicles

I've been trying to calculate how much compute power would be available for machine learning tasks if the entire fleet of ~1M Tesla's were available (at some trickle usage of incremental battery use, or maybe just when driving) and compare that to what Amazon has with Echo's (not anything like as powerful) or just spare load on Amazon/ Apple / Google cloud platforms.

It might be a unique opportunity to develop distributed AI in an interesting computational base.
I'll update as I find out more.