grandrew

As AI actively replaces financial decisions it is becoming crucial to understand the distinction between a business a person operates and an investment in some kind of AI hedge strategy. This is the first attempt at building a comprehensive model.

It is a computational model I built (with AI of course) that draws boundaries between a business and investment and allows to interactively explore.

This is a big emotional thing for me so please throw any feedback my way. I'm open to anything because I really want this solved.

Please let me know if the source code will be helpful, I'll publish to our repo

Thank you for your interest honest comment. We are working on creating a fully consistent and reproducible environment and publishing it on Huggingface.

I've been in this endeavor with Surface Book 2. While the results where good, the CPU usage for software DSP killed the entire effort. Microsoft is using intel's DSP accelerator to do this. While linux technically can use intel's audio DSP I never had enough time to dig into it

Thank you for brilliant comment highligthing the OSS issues.

But I believe you're missing the main point that OP is making: OSS will _statistically_ dominate every single niche.

There are just more reasons why non-OSS software would cease to exist - so eventually Inkscape will become a de-facto standard for Illustrator things; Blender will become de-facto standard of all 3D-Max things; OBS will become a de-facto standard of all Macromedia Flash Broadcast ... oh wait ... did that happen already?

There are several options how to make harvested energy work for interstellar travel

1. Just beam it with a huge laser to the spacecraft (google for several proposed projects already in development and plans for launch) 2. Store it onboard the spacecraft and then use, with multiple options and different levels of today's technology feasibility like creating a small spinning black hole or creation of exotic matter for warp drive

First, you can just google for "logistics is a shady business"

If you want to be more specific, you can google for "carrier haulage tax evasion" - this will be just the tip of the iceberg.

Supply chain is mixed with shady practices for tax evasion, bribery, laundering and all sorts of shady things at all levels that "compete" with actual process optimization. Combined with overall opposition to automation this incapacitates any effort to make the process efficient cuz it's hard, it "steals jobs" and not easy money.

Thank you very much for support!

Yes, behind the scenes it lowers the high-level logic of Python to predicate logic, uses RETE on that predicate logic to do the fastest possible JOIN operations on the tables, and uses machine learning to extract heuristics from the task and data to enable feasible monte-carlo search for valid plans.

All that means you input the rules for the "game", and it finds the way to reach the goal, no matter how complex the interactions or data are inside.

Yes, PROLOG with modern Python syntax and mostly imperative flow, commercial database experience instead of "build everything yourself", and ML-based heuristics that are learned on the fly instead of whatever hardcoded logic the particular interpreter had.

This is sometimes referred to as "Automated planning and scheduling" or simply "AI Planning" in academia.

I'd say what this all proves is that a free market and private sector is much better at those things than a communist'y government-run project.

Supply chain is a black box with people who are aggressively not interested in transparency. So the approach is to model the black box as good as we can, and start cutting away the pieces with automation.

My thoughts :) Get the mess solved here first. As a comment on your ideas - there are extremely powerful forces that would oppose any openness in logistics as it's filled with shady gangs. We need to act together to beat them off the market.