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.
The technology may exist to recycle plastics, but at least where I live, there is No infrastructure for it to happen. So no, it isn’t recyclable in reality.
Can you point me to something that describes these closed loop systems? What you are saying sounds like a paid advertisement.
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.
Post a gig (free!) on SFCL...uh, that's SF CraigsList (not SF Common Lisp :-) If it looks interesting, I'll answer it. If I don't, you're likely to get other reasonable folks answering it. (Only reasonable folks answer Lisp job ads, because only reasonable folks know Lisp; It's not like Python where kids who have one high school python course are applying for jobs!)
Haha...a friend of mine, reading the above over my shoulder, reminded me that there are, like, two complete a-holes over on comp.lang.lisp who long ago drove everyone else away. (Usenet is pretty much dead anyway, but these folks hastened the early demise of c.l.l as a useful forum, even before the rest of usenet folded to Stack Overflow.)
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.
From my perspective, this and similar programs, like Amazon Key for example, shifts the responsibility of a company's liabilities to the consumer, and generally leaves a bad taste. I think these programs are poorly conceived with the wrong motivation and self-serving intentions. I think it would be a good thing if consumers recognized these for what they are and pushed back against them.
These are the little things, relative to Paris for example, that end up being administrative/environmental tipping points. Years from now, a documentary will point to moments like this, and ask why no one was paying attention. Transparency in resources, or the lack thereof, can have far reaching diplomatic/political and economic impact.
