The user doesn't need to carefully goad Claude, they just need to send it to an attacker's website. The attacker is the one creating the link traversal merry-go-round.
I thought most Australians had different pricing for peak/off-peak. I'm paying 39c/kWh for peak (3pm to 9pm) and 20c/kWh for off-peak (9pm to 3pm the next day).
> I can't wait to be kept in agistment by my overlords, fed on treacle and oats, ridden in circles once a fortnight, and shot when I break a leg.
Luxury horse living during the heyday of working horses and pit ponies, "horse power" wasn't left ideal for a fortnight.
> How many horses do you see now that the world
Personally, a surprising number perhaps, there's a pony club at the top of my street in town, and the area is still littered with horses and other livestock.
Do "entering proprietary information into AI tools", "using non-approved AI tools", and "ignoring guidelines and best practices" really count as sabotaging an AI strategy because you are opposed to it? An over-enthusiastic early adopter would do all three.
Writers like to impress that they and Derrida are in on a shared secret, but if this secret is not interesting then the reader must not be allowed to know it before doing some work. A barricade of allusions and references and filler is necessary to make readers feel like they really earned an insight.
Whereas if we took a step back and stripped off the allegories, we'd realise that Derrida's argument to Lacan about the nature of the phallus is not interesting and does not tell us much.
Wanting every living human being to die and our species to go extinct ("NTHE" stands for "near-term human extinction") is a little beyond not being professional PR folks.
Per the article, the NTHE "movement" are doom sayers, not doom pushers. That is, the NTHE people are people who predict that humanity and most complex life on Earth will be killed off by global warming by 2030 (used to be 2026), through a somewhat convoluted but unavoidable series of consequences of the polar ice cap melting completely (in their theory). There is no indication that the NTHE people want this outcome to happen, it's just the outcome they think is already unavoidable.
Now, the author's position is both more and less nihilistic. The author also seems to think that human extinction is unavoidable, but he thinks the timeline is much more dragged out. He also seems to think that this is actually the preferable outcome at this point, given that global warming is our own fault, and that the only thing we should do is try to make it so that the planet is as well as it can be after we are finally gone.
I believe the argument was that they do contribute to a functioning democracy, as opposed to investment in training nurses and carpenters, who are being trained for economic reasons. The argument was that the two goals are so different that they should be funded differently.
The things thay directly help democracy are well considered viewpoints, humanities research, journalism, law etc. Stuff that influences decision makers including voters hopefully roughly for a greater good although we all may disagree exactly what that means.
Nurses and carpenters help society and functioning civilization.
For that to work, what you need is for the nurses and carpenters to be well versed in basic economics and how pundits lie with statistics etc. for when they go to the polls, rather than to have an oversupply of English majors who go on to have careers as a Walmart greeter or become structurally unemployed.
In other words, we need more people with a minor in the humanities and fewer people with a major in it.
Their direct work output contributes to a functioning democracy, but does so indirectly by providing material goods and services, which I refer to by the shorthand "economic reasons". We don't train nurses and carpenters because their training directly supports democracy; we train them because we want to live inside and be cared for when needed, and these things are incidentally good for any society, democratic or otherwise.
They may of course contribute as individuals, too, but their training is not required for them to do so.
Hiring funnels at big companies are funny because they're all about stacking filters together in a way that optimises some random grab bag of metrics in the candidates who make it through.
One of those metrics is "number of people hired who literally can't write code". You'd be able to give these candidates a full description of what the median is and they still wouldn't be able to finish this question, and you're not going to get too many false positives, so you add it to your rotation as the first question and have an enthusiastic mid-level engineer do it as the first half-hour round of an interview.
Then you design a few more rounds to test for the positive things you want, like pair refactoring, architecture, lunch with the team, or whatever floats your boat. That way your senior engineers don't need to interview people who can't write code and you stand a lower chance of accidentally hiring some of them.
`arc land` is burnt into my brain by Phabricator, so I'm aware that the term predates LLMs, but it still drives me nuts.
It's impossible to undo some of these linguistic wobbles. Even if you could filter out 100% of LLM input, the humans themselves are learning to say "land" at a higher frequency now.
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