if you browse the play store on a web browser you can open app links directly to bypass this. for now.

warm summer, and bad food prices. the regime expects protests to be historic too.

have you considered for a moment, i know it’s crazy, that two authoritarian states historically gnashing at the bit to go to war might be doing this of their own volition?

nobody else escapes responsibility because there’s a system level explanation for their behavior, why should the richest and most powerful?

they’ll find a use case any day now for realsies.

Yes, i point out whackamole in my comment. It’s a completely useless critique of tor/briar because there is no alternative which cannot also be critiqued like this, and there can never be.

you might as well say “well the problem with keyboards is that someone needs to ship it to you.”

oh sure, but you can get around these blocks and this sort of block is ultimately always a possibility short of building your own network infrastructure. and as blocks like that become more common it becomes more common to circumvent them too.

“significantly harder than youve been lead to believe”, no, you just werent clear in your description of the problem. if your problem with tor is “governments can play whack-a-mole blocking ips and traffic” there is no technology which doesnt have that as a downside.

“the tor protocol can be locked” ?

tor is decentralized, if someone’s tor server goes down you just go to another.

it might be a difference of language but it’s important to recognize that courts are part of your system of governance regardless of the words you use to describe it, and are subject to most of the same incentives and corrupting influences, and some thatare unique to courts.

courts are part of the government…

what money saved on wages?? it’s competing with a dollar a day laborers. $10 per 1 million tokens, for the “bad” (they all suck) models (something that cant even do this job!). if you can pretend the hallucinations dont matter, you are getting a phone call for (4 letters per token, 6 minute avg support call, 135 wpm talking rate let’s say 120 to be nice -> 720 tokens per call) = $0.0072 per call. the average call center employee handles around 40 calls a day, so hey, the bad cant-actually-do-it chatgpt 4 is 70 cents per day cheaper than your typical call center indian!

Except. that is the massively subsidized money hemorrhaging rate. We know that oai should be charging probably an oom or two more. and the newer models are vastly more expensive, o1 takes around 100x the compute, and still couldnt be a call center employee. so that price is actually at least $30 per day. Cheaper than a us employee, but still cant actually do the job anyway.

except current robot systems and people are likely cheaper, especially when you consider companies are liable for what llm say. which leaves, essentially, scams and other slop, as the last remaining use cases. multi trillion dollar business without a use case.

the tech is barely good enough that it is vaguely maybe feasibly cheaper to waste someone’s time using a robot rather than a human- oh wait we do that already with other tech.

“in 20 years imagine how good it’ll be!” alas, no, it scales logarithmically at best and all discussion is poisoned by “what it might be!” in the future, rather than what it is.

regardless of where you want to define the starting point of the boom, it’s been clear for months up to years depending on who you ask that they are plateuing. and harshly. stop listening to hypesters and people with a financial interest in llm being magic.

Oh! Hahahaha. No.

the vc techfeudalist wet dreams of llm replacing humans are dead, they just want to milk the illusion as long as they can.

They chose poor words for this.

the unit is just a report of orientation, not magnitude. if you have a digital counter you are limited by the precision of the digital counter, not the units chosen. an analog measurement however is limited instead by other uncertanties. precision has, genuinely, no direct relationship to units. precision is a statistical concept, not a dimensional one.

gets where first?

all this started in 2023? alas no time marches on, llm have been a thing for decades and the main boom happened more in 2021. progress is not fast, no, these are companies throwing as much compute at their problems as they can. deepseek’s caused a 2t drop by being marginal progress in a field (llms specifically) out of ideas.