It's homeopathic nonsense. None of those are accepted names for the substances they are talking about, and they don't specify a quantity so it could be essentially zero for some of them.
In most measurable ways, it was much worse. Crime, mortality, institutionalized racism, war, etc. It looks worse now because every action and word by the people considered newsworthy is magnified and judged by thousands of opinions, many of which originate in troll farms, and many which are intended to be deliberately divisive.
Yes, the US government is infested with fascists. Yes, wealth inequality is worse than it ever was. These are real problems, and worse than they ever were before. (Though I wonder sometimes about how much damage was done by Reagan, and whether denying basic government protections to the poor was just more acceptable then.)
It looks AI-generated to me.
I don't see it that way. To me, it seems that there is a lot more great music available, and it takes much less effort to find it. Mass-market music is lowest-common-denominator crap, but that became the case somewhere in the 90s and hasn't changed since.
The sweet spot is to find artists who are popular on streaming services, but not nearly as popular as the heavily-marketed acts that fill stadiums. Then branch out from there. Maybe check out community playlists that don't contain big name acts and add anything that resonates to your own lists to get started?
YouTube has been great for science content, but the algorithm is mediocre at best for me. It still pushes crap I have never shown an interest in, and keeps popping up the same ones I already marked as "not interested."
LLMs can be good if it is a narrowly-defined subject, but it's hard to tell when it's running off the rails. Perhaps if it were possible to create an authoritative training data set, but that's not on any VC funded company's agenda.
Definitely not. I don't post low effort snide comments as a reply and think that I'm witty.
That most people are much dumber than they initially appear to be. "Average intelligence" isn't enough to form a basic understanding of the world.
It isn't much of a challenge if they suck. Just planning to make them doesn't mean shit.
Also, why do none of these articles have a summary posted for them? These are some seriously low effort posts.
I'm an experienced technologist (a software engineer for over 30 years), I used to regularly install CyanogenMod on my phones. While I didn't find the graphene OS installation to be particularly difficult, I did find actually using it to be too much of a challenge to live with every day. The biggest single problem I can recall is that I could not do any group ~~SMS~~ MMS texts. Many searches and attempts at fixes later, I realized that it was a known bug that for reasons unknown did not seem to affect all users. There were a number of minor annoyances in addition to that bug.
That may reflect more on how Google has locked down things on the pixel phones, or other stuff they've done to keep things as proprietary as possible in their software and devices. I switched back because it wasn't worth the hassle to me.
Unredacted files reveal Anthropic’s ‘secret plan’ to ‘destructively scan all the books in the world'
I came here looking for this.
These are the two that I carry most often. Both are Smith & Wessons. I am still trying to get used to the optical sight on the Shield Plus, so I usually have the 632 UC on.
I carry AIWB at around 1:00 for either of them. I find it comfortable for all day, though the revolver is a bit more comfortable.
Holsters are a Philster "City Special" (for the revolver), and a Harry's Holsters "Shorty" for the 9mm. I replaced the grip on the 632 with an Altamont wood grip - the one it came with did not fit my hand well at all. The Shield Plus is wearing a Hogue grip sleeve because it also didn't fit my hand well. I have very large hands (more long than wide), so most good CCW guns need something to improve the grip for me.
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This is a good answer. AI tools won't make someone who has not yet developed programming skills into a good programmer. For someone who has a good grasp of implementation patterns and the toolkit for a given tech stack, they can speed things up by putting you into the role of a senior programmer reviewing code from multiple newbies.
I'm finding that for it to work well, you have to split things up into very small pieces. You also have to really own your AI automation prompts and scripts. You can't just copy what some YouTuber did and expect it to work well in your environment.