I tried replicating this myself, and got no similar results. It took enough coaxing just to get the model to not specify existing tariffs, then to make it talk about entire nations instead of tariffs on specific sectors, then after that it mostly just did 10, 12, and 25% for most of the answers.

I have no doubt this is possible, but until I see some actual amount of proof, this is entirely hearsay.

These folks include presenting a false person as being of age, then switching to underage at the time of meetup when the target shows up.

I’ve never seen even a single instance in my own viewership of numerous channels that engage in pedophile hunting where the person is presented as being above the legal age of consent, then only switching to underage at the time of the meeting. They’re presented as underage from the get-go.

Then the group tries to kill the person

Again, this doesn’t seem to be a widespread thing compared to the number of them that simply lure them to a location then ask them questions (and directly state that they are free to leave at any time since they’re not law enforcement and can’t arrest them) The people you’re talking about are a small minority of both the actual number of pedo hunters, and the number of overall views received.

And the perpetrators think this is justice.

I doubt the people that are explicitly lying to farm content think it’s justice. I do believe the people actually catching people who voluntarily contacted someone presented as underage from the start do.

It depends on how these channels are going about finding their victims for it to be considered similar.

Remember, entrapment is based around luring someone to do something they otherwise would not have done had the operation to entrap them not occurred. If they created an account posing as a minor, then directly DM’d a person asking if they wanted to do x/y/z with a minor, that would be entrapment.

But if they made an account claiming to be a minor on social media, and the person contacted them voluntarily, asked their age, was told it was under 18 and still continued messaging, then sent explicit photos, that’s not entrapment.

However, if they were then the people who initiated the conversation about wanting the person to come to their house / visit them somewhere, that could be considered entrapment, and the only evidence against the person that could be eligible for use in court would be the explicit material they sent without being prompted.

It varies case-by-case, but from what I’ve seen, most of the larger operations tend to try and avoid entrapment-like tactics in most cases, where they only allow the other person to initiate unlawful behaviors, rather than prompting anything themselves.

couldn’t they just run down the registered sex offender list

The point of their channels is usually to find new predators that haven’t been caught, so they can then face legal consequences, (or at least be pushed to stop acting on their desires) rather than to punish people for being pedophiles in general, so it wouldn’t really make sense to go after those who were already convicted.

Exactly. Most things need to optimize for the lowest common denominator of understanding, and buttons with words and fields that have explicit purposes and positioning are a much easier starting point than “use command -help and figure out the syntax yourself,” even if someone who learns the syntax could then possibly be more efficient at using it.

hotel

I think you mean “all-inclusive” resort (that isn’t all inclusive and actually charges a gazillion dollars in random fees) that makes them feel like they’re experiencing local culture while actually just experiencing the effects of the resort chain exploiting the local population for cheap labor while cheaply imitating the culture.

Don’t worry, we Americans are definitely capable of escaping our cultural bubble! /s

Not only are their wages lower than their parents’ earnings when they were in their 20s and 30s, after adjusting for inflation, but they are also carrying larger student loan balances, many reports show.

True, true. Surely they won’t try to both-sides this and make it seem like they’re overreacti-

But by other measures, young adults are doing well.

Oh no.

Compared with their parents at this age, Gen Zers are more likely to have a college degree

Because more jobs require them even when they’re not necessary. Also, see the crippling debt you just mentioned.

and work full time.

Yet still make less than their parents while working longer hours. How is this “doing well?”

Plus, many millennials have more saved for retirement than they did just a few years ago, after reaping the benefits of positive market conditions.

Fun fact, if you save money for retirement, it tends to go up, shocking.

GrapheneOS has Seedvault integrated in Settings > System > Backup, where you can choose what you want backed up, back it up into a file, then transfer that file anywhere you want.

You can then restore a backup from the three-dot menu in the top right.

I haven’t had to do restore yet myself, so I’m unsure how well it restores, say, text messages, to an existing client on your phone. (I’m not sure if it replaces your existing messages or not)

As for Signal, I believe it now supports restoring up to the last 45 days of message history from your device. (Even after wiping your messages off Signal from your phone, leave the app itself, as it has totally innocuous files that definitely don’t possibly harm police hardware used to crack phones embedded in it.)

Here’s a Snopes review of what I think is the same specific topic.

It mentions nothing about these being orphan support payments, but rather, these being possibly incorrectly typed SSNs that resulted in their recordkeeping systems assuming, based on the information tied to those SSNs, that the borrowers were, say, 11 years old, when in actuality they were not, and the SSNs had just been inputted incorrectly, even if all other borrower information was accurate.

They also didn’t stop these funds, as they were already given out. They’re simply “reviewing” them.

1. Say something blatantly uninformed on an online forum
2. Get corrected on it
3. Make reference to how someone is perceived at parties, an entirely different atmosphere from an online forum, and think you made a point

Good job.

We cant even handle humans going psycho. Last thing I want is an AI losing its shit due from being overworked producing goblin tentacle porn and going full skynet judgement day.

That is simply not how “AI” models today are structured, and that is entirely a fabrication based on science fiction related media.

The series of matrix multiplication problems that an LLM is, and runs the tokens from a query through does not have the capability to be overworked, to know if it’s been used before (outside of its context window, which itself is just previous stored tokens added to the math problem), to change itself, or to arbitrarily access any system resources.

Here’s the key distinction:

This only makes AI models unreliable if they ignore “don’t scrape my site” requests. If they respect the requests of the sites they’re profiting from using the data from, then there’s no issue.

People want AI models to not be unreliable, but they also want them to operate with integrity in the first place, and not profit from people’s work who explicitly opt-out their work from training.

Fun fact, .png files are pronounced “ping.”

https://en.wikipedia.org/wiki/PNG

Also, here’s this wonderful site that lays out practically every argument for GIF’s pronunciation as “jif,” just for fun.

It doesn’t guarantee them protection from liability, but it makes it easier to muddy the waters.

They never have to claim that autopilot or self driving was on during a crash in any comment to the press, or the courts. They never have to admit that it was directly the result of the crash, only that it “could have” led to the crash.

It just makes PR easier, and allows them to delay the resolution of court cases.

I’ve never seen subsistence living as a core belief of any large number of socialists. At least, no larger than the average amount of people in the general population that also find subsistence living to be a good idea.

Most socialists understand that many goods can’t be fully produced by any one individual, and that we get a benefit from working together as a group. Hell, most of Socialist ideology revolves around groups of workers owning the means of production, and a government/society that shares resources between people to keep everyone as reasonably comfortable as possible.

The notion that subsistence living is something that more socialists would support than the average person isn’t exactly something I’ve seen to be true in my personal experience. In fact, I see a lot more of that on the very much anti-socialist right, what with all the homesteading and “rugged independent man” stereotypes you’ll see thrown about over there.

The way you’ve phrase it here almost makes these tariffs sound good to a socialist

Hey, democratic socialist here, this does not sound good at all, nor does it sound remotely socialist to me.

can anyone tell me what the alternative plan was to bring manufacturing back to the states?

what’s the alternative?

A better plan would have involved local subsidies and tax rebates for various industries that have the ability to be cheaper than existing outsourced infrastructure if they were to be developed with a large enough economy of scale, to incentivize them to engage in local production.

And for industries in which we wouldn’t experience lower prices even with larger local economies of scale, such as those involved in mining mineral deposits we simply don’t have enough of here in the states, we just… wouldn’t do anything to tariff anybody or provide incentives if it wouldn’t be something we were capable of benefiting from via local production?

And wasn’t that always going to make things more expensive?

These other methods would make things more expensive too, (albeit much less so) but they would directly incentivize local production, and crucially, only cost money when production was actually made locally. Nobody would get a tax rebate or subsidy if nobody was actually starting local production. With tariffs, however, everyone begins paying a higher cost, regardless of if local manufacturing is even happening, let alone if it’s cost effective or possible in the first place.

Tariffs are just an inefficient way of incentivizing local production compared to other options, because they primarily exist to punish other countries and their economies, rather than uplift our own. They can be used to incentivize local production, but if not properly linked with subsidies, rebates, and job programs, they aren’t terribly effective at doing that, and they will almost always lead to higher prices on an ongoing basis.

Bug?

I’d say the same. Google dorks work much better than DDG’s filters for site-specific stuff, and generally for things like "search term" but for general searches DDG seems pretty similar.

The only things I’ve also had worse performance from DDG on compared to Google (in very minimal ways) has been:

• Highly specific searches (e.g. searching for a diagram of the dimensions of common connector types, DDG shows side-by-sides of connectors, Google does that but also with more diagrams that have dimensions in them)
• Context but not keyword based searches (e.g. “thing that has x y and z characteristics” returns more relevant results in Google than DDG, very marginally)

And of course, there’s always the !s bang to run a search through Startpage (which uses Google) if I’m not getting enough detail.

Which is exactly why every time I see big tech companies making another stupid implementation of it, it pisses me off.

LLMs like ChatGPT are fundamentally word probability machines. They predict the probability of words based on context (or if not given context, just the general probability) when given notes, for instance, they have all the context and knowledge, and all they have to do it predict the most statistically probable way of formatting the existing data into a better structure. Literally the perfect use case for the technology.

Even in similar contexts that don’t immediately seem like “text reformatting,” it’s extremely handy. For instance, Linkwarden can auto-tag your bookmarks, based on a predetermined list you set, using the context of each page fed into a model running via Ollama. Great feature, very useful.

Yet somehow, every tech company manages to use it in every way except that when developing products with it. It’s so discouraging to see.