Yeah yeah - 'if I asked people what they wanted, they'd have said faster horses', but if they knew what cars were that quote wouldn't exist. Everybody knows what AR is, a sizable chunk of people have tried it, and nobody seems to want it. If there were some ultra high end AR goggles for $10, I still wouldn't buy them (sans obvious angle shoots like reselling/repurposing the hardware or just pack-ratting it away in a closet).
The reason I mention this is because of this paradox where everybody assumes its success, but nobody has any interest themselves in using it. I think this is because AR is just about literally always a part of sci-fi and so we kind of assume well it must be what the future holds. But it seems like one of those many ideas that sounds way better than it actually turns out to be in real life.
I'm also bad at learning & remembering a lot of people's names at once in social settings, so I'd like a discrete pair of AR glasses that used a local model to add virtual nametags to people in certain situations. (Assuming I controlled the data - I wouldn't like it if this meant data about my acquaintances would be sold behind my back).
So there's at least two potential AR applications I'd be interested in, assuming they could be made to work in a trustworthy & reliable manner for under $1k.
A more concerning issue is the nature of the bags being thrown away. California banned “single use” plastic bags (which we used to reuse as trash bags for the bathroom or whatever) but lets you buy “reusable” ones for a few cents at the checkout counter. The reusable ones are much heavier and contain 10-100x more plastic, and take even longer to biodegrade.
The study counts “items”, not weight, and reports a 25-47% decrease.
Assuming California is the region that hit 47% (call it 50%), and the reusable bags are better than the best available (only 10x worse than pre-ban) that translates to a 5x increase in microplastics on the beach. I’d consider this a disaster, not a win.
This matches older studies, which measured total plastic content of landfill waste before and after plastic bag bans like California’s.
Those showed sharp increases in plastic waste too. The studies in question were in places that did not allow the reusable plastic ones that California forced the stores to switch to. Instead, the authors found that people switched from using the disposable bags as trash bags to using kitchen trash bags, which are ~100x worse. If only 1% of households were using disposable shopping bags for trash, and no one reused the new style bags, then the policies ended up breaking even. In practice, the policies increased total plastic waste, despite being better thought out than California’s newer ban.
I’m all for banning plastic bags, but the current bans target the most efficient use of plastic, increasing overall plastic production and waste. The bans should only target things that have plastic-free alternatives, or at least that have less plastic intensive alternatives.
I'm not sure if that makes the reusables better overall, but I don't think we can say they're 10-100x worse based on weight alone.
Having a laser that spreads out to e.g. 30cm radius at 500m is not hard to do if you need an area of effect weapon & can push enough power (ie. your laser is powerful enough, but not so intense that it ionizes the air & blocks itself). Reflections seem like a bigger problem: If the most effective defense includes guys with shotguns &/or there are a lot of unprotected personnel in the area, how do you make sure stray reflections don't end up blinding them?
I just don’t remember encountering the problem you’re describing, and it’s unfamiliar to me. There’s something about your experience that I don’t understand, but I don’t know what it is.
First up, the smartphone itself had to evolve a hell of a lot over 18 years or so. Go try to use an iPhone 1 and you'll quickly see all of the roadblocks and what we now consider poor design choices littered everywhere, vs improvements we've all taken for granted since then.
18 years ago was 2007? Then we didn't have (for better or for worse on all points):
* Video streaming services
* Decent video game market places or app stores. Maybe "Battle.net" with like 5 games, lol!
* VSCode-style IDEs (you really would not have appreciated Visual Studio or Eclipse of the time..)
* Mapping applications on a phone (there were some stand-alone solutions like Garmin and TomTom just getting off the ground)
* QR Codes (the standard did already exist, but mass adoption would get nowhere without being carried by the smartphone)
* Rideshare, food, or grocery delivery services (aside from taxis and whatever pizza or chinese places offered their own delivery)
* Voice-activated assistants (including Alexa and other standalone devices)
* EV Cars (that anyone wanted to buy) or partial autopilot features aside from 1970's cruise control
* Decent teleconferencing (Skype's featureset was damn limited at the time, and any expensive enterprise solutions were dead on the launchpad due to lack of network effects)
* Decent video displays (flatscreens were still busy trying to mature enough to push CRTs out of the market at this point)
* Color printers were far worse during this period than today, though that tech will never run out of room for improvement.
* Average US Internet speeds to the home were still ~1Mbps, with speeds to cellphone of 100kbps being quite luxurious. Average PCs had 2GB RAM and 50GB hard drive space.
* Naturally: the tech everyone loves to hate such as AI, Cryptocurrencies, social network platforms, "The cloud" and SaaS, JS Frameworks, Python (at least 3.0 and even realistically heavy adoption of 2.x), node.js, etc. Again "Is this a net benefit to humanity" and/or "does this get poorly or maliciously used a lot" doesn't speak to whether or not a given phenomena is innovative, and all of these objectively are.
How can it be amor-piercing and turn in to fine dust on impact?
It remains to be seen whether (b) will be needed, or for that matter, possible.
There are a lot of other ethical questions around AI too, although they mostly aren't unique to it. E.g. AI is increasingly relevant in ethical discussions around misinformation, outsourcing of work, social/cultural biases, human rights, privacy, legal responsibility, intellectual property, etc., but these topics predate LLMs by many years.