18,056 karma · joined June 2, 2013
A health insurance cartel is asserting that AI-enhanced diagnostic assistance tools (such as medical record scanning or ambient voice transcription during consultations) is resulting in an increase in diagnosed "secondary conditions" without a corresponding increase in treatment of those conditions. Despite being untreated, these secondary conditions still cost the insurers money because they allow doctors to label a medical case as "complex".
In fact, the aggressors in this case are European colonists, only 3rd generation or so, and they are pretty much following the standard historical playbook for how European colonists treat locals, including the assumed divine right of genocide ("manifest destiny") The Middle East isn't an especially belligerent place otherwise.
So I call your characterization unfair.
Pleasant job (like art) = bad pay
Unpleasant job = good pay (to compensate).
It's a good start, but broadly speaking it seems to me that job fulfillment is correlated positively with compensation: there are an awful lot of unpleasant jobs that also have terrible pay, and conversely jobs that are considered important to society (and hence gratifyingly fulfilling) tend to be well compensated also.
So at the very least there's something else going on.
As a matter of interest, "that time" being April, it was only two months later in June that the Manchester Baby ran its first stored program.
I contribute my experience here only because I've seen a lot of chatter lately about doing exactly this sort of thing, and I thought I'd share how I made it work for me. There are a lot of ways it can silently fail and give bad numbers if you aren't careful, and I wouldn't want people to think it doesn't work just because they used a vibe coded GitHub project from the last 48 hours that doesn't take these things into account.
Meanwhile, the bias could be as much as 70% in favor of A in ambiguous cases - a signal completely drowning the <1% inclination to violate the format.
I got this technique to work extremely reliably last year. However there were a bunch of caveats: 1) Firstly, you must institute a check that the multiple choice tokens dominate the output distribution. They should sum to 95% or more, ideally 99%, or the LLM is not following instructions properly. This is also the problem with constrained decoding - if the LLM really doesn't want to output a valid answer, the one you extract will not be high quality. 2) You need to ask it multiple times, permuting which option corresponds to which letter, and average the results. LLMs are surprisingly biased towards picking "A", especially if they're otherwise not sure. 3) For the same reason, performance improves if you frame the prompt as if it were the middle of a quiz. "Question 1" carries baggage that "Question 12" doesn't. 4) You must be exceedingly careful with tokenization.
But when all was said and done, I got a general purpose A/B classifier that gave high resolution quantitative output for the cost of a couple dozen tokens ingested and a couple inference passes.
Bad luck about your USB port. At least replacement T480 motherboards are not scarce!
And, before you answer that too hastily - have you ever heard of William Binney? How about Thomas Drake? Do you know what happened when they used "the proper channels"? If so, your failure to mention them when discussing Snowden's motivation is in bad faith. If not, you're simply not informed enough to be coming into threads speaking authoritatively about this.
Note to lazy skimmers: this is not ZuckOff (which is a cash grab slop fest) but the app whose idea it stole - a hand coded, opensource equivalent with no trackers or in-app purchases.
1) One the most prudish social networks, in the West at least
2) The primary funnel to OnlyFans
Parent is correct, by the way - New Atheism turned into Woke. Here's a very thorough treatment: https://slatestarcodex.com/2019/10/30/new-atheism-the-godles...
I don't think we get a second shot.
So.... mDNS works out of the box on any glibc system with libnss-mdns and a running avahi-daemon - not "kind of" works, just Works. cgroups are a kernel feature that is quite straightforward to use without systemd. "Workload isolation" and "least privileges" are vague but seem to me to just be describing cgroups again, or just general permissions. I realize that this was an off the cuff remark, not a blog post in defense of systemd, but you must know that every time a systemd skeptic reads a list like this, full of "features" that work fine without it, the impression is only further reinforced that what systemd really provides is marketing.
Think less "skynet" and more "a corporation without any humans in it". What defends it from physical attack? Same things that defend Google from physical attack now. Everything that AI will make worse, we already have. AI just supercharges it, lets it scale, lets it run without even the inconvenience of suppressed empathy (if it doesn't seem like that's constrained corporations much so far, let's see how deep the rabbit hole goes without any humans in the loop).
There won't be a human resistance. There may be people who resist, but the police will arrest them. Existing power structures will continue to be neatly and elegantly coopted. Extinction doesn't look like HKs roaming the landscape, it looks like human survivability simply being economically untenable in the economy of tomorrow.
Ah yes - LLMs don't kill people, people kill people.
Cold comfort!