endswapper

I mean recyclable in a conventional sense the way most people understand it.

Energy cost is probably the single biggest obstacle for the technology I mentioned above. Renewable energy is changing this.

Most plastics will soon be a part of an efficient closed loop system. Regulations are driving some of this. However, the real driver is that these systems are incredibly profitable, and serve risk and resource management priorities as well.

I wouldn't be surprised if Amazon and others started accepting plastics and paper returns. Their consumption is massive and they already have a logistics closed loop in place.

Plastics are an incredible innovation and a valuable resource. Misinformation about their recyclability is a threat to their stewardship.

This is not true. Essentially, all plastics are recyclable, and it merely depends on the technology available.

I don't think anyone is trying to disqualify DNNs. I think the difference might be an abstraction for a neuron vs an abstraction for the brain. Success or value doesn't necessarily equate to "human-like." The paper seems naive to, or ignore, prominent, long-running/standing related research that provides a stronger foundation and as far as I can tell includes what they propose. So, at least for me, I'm not sure what the contribution is.

I find it disappointing that the paper makes no mention of Numenta, TBToI or HTM. How is what they are proposing not already included in Numenta's work (informally, of course)? Plus, Numenta's work seems to go much further confronting biological plausibility head-on.

What is the best way to contact you?

On Lisp by Paul Graham is a great starting point. It's a quick read, it will give you a conceptual basis, while exciting and inspiring you to use it's power. After that just start using it. As others have mentioned, emacs, slime, etc. are helpful.