Mostly just in the bulk, low barriers to entry, and pervasiveness(like a lot of things social media). The case of actors actually goes back a long way; state laws regarding compensation of child actors were spurred by the case of one who was popular in the 1920s and litigated with his parents over where the money wasn't in 1939. That case doesn't provide for takedowns; but it's also the case that filmmakers are normally looking for children to play characters; rather than to do 'candid' intense documentaries of them at home; so the degree of public exposure of private life is presumably deemed to be less; with the main issue being children who were...definitely...getting a solid education while on stage finding that all the money was gone when it became their problem.

Child-blogging, by contrast, seems to reward verisimilitude (if not necessarily truth) and invasiveness, relatively pervasive in-home mining for 'content', so presumably seems better served by removal-focused options; though there has definitely been talk about covering the economic angle in line with child actors.

I don't even know what the deal is with child beauty pageants, or how something you'd assume is a salacious bit of slander about what pedophile cabals are totally doing, somewhere, is actually a thing a slice of parents are into, way, way, into. Apparently that's a third rail to someone, though, as the only jurisdiction I'm aware of with significant restrictions on them is France.

Unless quantum computing becomes cheap and comparatively widely available quite quickly after becoming viable passwords seem like they'll be a manageable problem. Nobody likes rotating them; but it's merely tedious to do and the passwords themselves are of zero interest unless they are still being accepted. If it does go from 'not possible' to 'so cheap we can just go through through in bulk' overnight that could ruin some people's days; but if there's any interval of 'nope, the fancy physics machine in the dilution refrigerator is currently booked by someone with a nation state intelligence budget' you can just rotate older credentials.

Now, if you were hoping that encryption was going to save any secrets that are interesting in and of themselves that got out in encrypted form; then you have a problem. Those can't be readily changed and will just be waiting.

Have you ever noticed why no one celebrates Patch Tuesday in the pub? It's because they're waiting by consoles waiting for stuff to break.

Windows, client and server, are a house of cards. This goes far back in history. The citations you challenge are each provably wrong. Ever wonder why the cloud isn't rife with Windows servers? There's a reason for that. Cloud Native Windows is almost an oxymoron. Linux and to a lesser extent, BSD, have taken over that space.

In so many ways, Windows is now a legacy data OS in data centers and for good reason. It's developer community has all but collapsed. It's backwards compatibility with other house-of-cards platforms like dot-net have put ball-and-chains around its neck.

The additions of tawdry pre-release-in-production AI with Co-Pilot causes new train wrecks each and every day.

No serious services developer uses Windows as a new development platform. The metaphors you diss are a dodge. You know exactly what the remarks are about. Windows continues to be a sieve for security. Linux and BSD are far more difficult to breach, correctly configured-- and it doesn't take much.

As a developer, if you are one, Microsoft is putting you to the pasture. Have fun eating oats.

Assuming it's remotely true (and there's good reason for thinking it isn't), it still means the FBI director was negligent in their choice of personal email provider, that the email provider had incompetent security, and that the government's failure to either have an Internet Czar (the post exists) or to enforce high standards on Internet services are a threat to the security of the nation (since we already know malware can cross airgaps through negligence, the DoD has been hit that way a few times). The FBI director could have copied unknown quantities of malware onto government machines through lax standards, any of which could have delivered classified information over the Internet (we know this because it has also happened to the DoD).

In short, the existence of the hack is a minor concern relative to every single implication that hack has.

f the child mentioned didn't give you consent to share details about them, don't.

I thought it was generally accepted that children under the age of 18yrs could not give legal "consent" to anything....?

Until the age of 18, for the most part legally, can't parents speak for and act for their children....?

A truly non-lazy person, then, would have to conduct a detailed spectrographic assay of all of the pipes (or at least sufficient samples from each lot) to accurately determine the precise composition of each, because all of them contain impurities and aren't merely copper and phosphorous.

In general, getting a truly pure sample of almost any element is incredibly-hard, and outside of laboratories (and even in laboratories, most of the time) it just doesn't matter. In the case of transporting anti-protons, standard "pure" copper is apparently inadequate, because it's not pure enough.

I expect this apparent disobedience is mostly just a matter of how it weighs the components of its prompt. The LLMs typically receive a set of prompts including a "system" prompt with some data and instructions, then one or more "user" prompts that are interleaved with "assistant" prompts (the conversation history), and both the user and the system prompt might contain "metaprompts" (where the llm is told to read a block of text, not obey it, but do something with it, and that block of text might itself contain text that looks like instructions to do things).

So the LLM assigns weights to all of this which, in theory, give the highest priority to the most recent user prompt that is not a nested block of text to analyze, and a falling cascade of importance to the other prompts. But that is complicated by potential instructions in the system prompt that specifically say they should override user instructions and disallow or require certain responses. So it can all get very complicated.

Not only must the LLM sift through all this complexity, but the LLM lacks the sort of critical thinking and importance evaluation capabilities that humans have. "Understood" things like "don't break the law, don't lie, don't do things that would cause more harm than good" etc., aren't really there in the background of its data processing the way they are in the background of a human cognitive process.

So, crazy things come out. This isn't a surprising result given the actual complexity of what we are making these things do.

"This bot has performed an illegal action and must be terminated."

In reality though the laws of robotics that Asimov defined might be what we need.

Even with the reduced precipitation there's still plenty of water for residential and commercial use. The problem, at least where I live (Utah), is agriculture. 80% of our water goes to agriculture. It would be one thing if we were growing regionally-appropriate crops for local consumption, but nearly all of that agriculture is to grow alfalfa (a water-hungry crop that isn't appropriate for the high desert climate), and nearly all of that alfalfa is shipped out of state, much of it out of the country, to feed cattle elsewhere. China is one of the biggest buyers. Essentially, our farmers are selling the contents of our aquifers to the world.

If we had plenty of water, letting our farmers buy it at a deep discount and sell it to willing buyers elsewhere would be fine, just another commercial use of a local resource, which is what trade is all about. But we definitely don't have plenty of water.

The solution is simple and straightforward (though legally complicated): Don't discounts. Set the same price for water across the board, residential, commercial and agricultural. There can and should be minor differences in delivery cost, and surcharges for purification, but the base cost of the water should be set through a single government-managed market, probably at the state level, probably divided up by drainages (drainages with more abundant water will have cheaper water; if this creates an arbitrage opportunity for someone to pipe water between drainages, great!).

Yes, this would probably put the alfalfa farmers out of business, but that's good because growing alfalfa in the desert is a bad idea. It might also raise the price of local produce, but that's as it should be, putting agricultural water use directly in competition with other water use. If prices go up, people will find ways to be more efficient. Farmers may switch to drip irrigation. If you build too many houses for the available water supply, well, those houses are going to have very expensive water and residents are going to want to find ways to conserve -- and maybe the high cost of water will disincentivize new move-ins.

The bottom line is that efficiently allocating scarce resources is what markets are good at. The problem with water isn't that there are too many people or not enough water, the problem is that we don't properly allocate the water or encourage conservation in the right places. Trying to fix this through regulation rather than market pricing will always be subject to regulatory capture and will never be as efficient or as effective as just enabling a competitive market and letting it work.

What are the use cases for local AI models that actually require running on macOS? Surely a commodity x86 system is more appropriate?

Is there even the software support for LLMs on macOS?

Actually yes there is...

I'm still learning about this myself, but, from what I understand the M series of chips that Apple has come out with, with it having a CPU, GPU, and shared unified memory....it makes them uniquely capable of running local models on them...decently large models depending on how much you fork over for RAM. These M chips also have a special end unit for "intelligence processing" I think they call it.

The M5 chips just coming out look to be very good at this and it is speculated the M5 Ultra will be a high performance work horse.

Apple may have missed the mark for running AI, but the appear to have hit a home run on the hardware aspect of it.

I've seen demos on YouTube of someone hooking up like 4-5 Mac Studios that were maxed out M3 ultras I think and they were running extremely LARGE LLMs locally and getting cloud level numbers on them.

Of course these were like $10K each boxes.....but the level of model they were running would have cost my MANY more times trying to match them with NVIDIA GPU cards.....

i believe there are OSX friendly tools like ollama that make downloading, and running LLMs quite easy....and of course there's the latest sensation...OpenClaw, that folks are buying up Mac Minis for....to have multiple agents running using models of your. Choice (commercial clound or local) of models and giving them persistent memory, and ability to do a lot of things for you...depending on how comfortable you are with giving said agents long leashes and capabilities....

Do look a bit on YouTube on these topics....it's actually quite interesting.

These M chips are already giving the home user the capability to use models almost as large and on the cutting edge as the big companies.....more than enough for most users.

Right now, there's nothing x86 that can really match them...at least not for the money.

Look for a gaming monitor with no WiFi option

Do they make these in 65" or larger?

If not, that's not really useful....no one wants to have everyone in the family and/or guests huddled around a 25" monitor in the corner of the living room you know....

;)

Everyone's (rightfully) bitching about this, and I agree, but none of that solves the problem.

What's the alternative? Give me a TV brand that gives you, ideally, a dumb TV, but alternatively a decent smart TV that is easy to work with.

Responsiveness is an important, and often overlooked, characteristic. It's important.

Brand/model recommendations; go!

Count the number of "former" intelligence officials on his company's board.

Then search for the many photos of him mouth-kissing his father and son (RIP).

They use both carrots and sticks to control compromised people.

I took mine apart and there were two separate display modules for the 4K screen with ribbon cables I didn't recognize so I just put it back together and stuck in an HDMI streaming stick flashed to LineageOS.

I got one around 2008. They were the best of the non-premium 1080p HDMI screens at the time.

The one I got had slightly better test review scores on display quality than the LG that year. The Sony was 20% better for 3x the price.

It lasted about twelve years and by then a bigger 4K with much brighter colors was half the cost in nominal dollars, so probably 1/4 the cost in real terms.

And by then cheap flashable streaming sticks were available as was pihole and fairly easy outbound NAT rewriting rules to keep the beasts contained.