The core problem is how carriers handle verification. When an eSIM transfer fails and you need support, carriers authenticate via SMS -- a message you cannot receive because your SIM is broken.
Keyboard not found, press F1 to continue.
I was going to say Applicant Tracking Systems. The glorified grep scripts that preceded them were bad enough, but these new LLM-powered ATSes are far worse. They are shockingly even more inflexible than the keyword-matching scripts, and are loaded with biases such as a strong ballot order effect (they prefer the first candidate if given a list), not-invented-here syndrome (they prefer resumes written by the same LLM), status quo bias (they prefer candidates who are most similar to the preferred candidates they've been trained on so they dislike anyone with an unconventional work history), and of course the usual racial and gender biases LLMs always pick up from training data.
Someone at an AI company knew exactly how disastrous letting LLMs pick job applicants would be, and if that person didn't do everything in their power to stop it they are a moral failure. If they did nothing to stop it or even actively encouraged it, they participated in a crime against humanity.
See also:
My favorite bit is that companies - who are on supposedly universally seething with unadulterated greed, mind you, are now somehow uninterested in the $millions per year they could save on commercial real estate letting people work from home, using their own kitchens and offices (for free) rather than the $140 persqft downtown office space?
And this is because, let me see, they somehow get off on flexing on the peons who (supposedly) are just as effective from home?
Maybe roll through that narrative in your head again, see if it makes sense this time:
- allegedly workers are really JUST AS EFFECTIVE from home (according to them)
- they could work entirely from home, easily saving businesses $millions/year
- and yet the pointy-heads don't want this just so
Of course. Makes perfect sense.
This conflict is real, but it doesn't make the problem fake. What you didn't account for is that unadulterated greed is not perfectly smart and rational greed: PHBs are real, and they don't take perfectly rational paths to what they see as maximizing profits. See how they try to replace workers with LLMs to disastrous results for one quick example from recent history. Likely the biggest irrational factor is that they've spent a lot of money on flashy corporate real estate that feeds their egos as a status symbol, with a fancy corner office inside that compounds the effect. Trading this in for a home office that looks no different from any working-class employee's dingy improvised office space once the fake video backgrounds are applied would be soul-crushing to them. The people who seek executive positions also seek prestige and the trappings of power, and most of them wouldn't trade that in for more extra money that does nothing to make them feel powerful or prestigious during working hours. Their judgment is also clouded by the conflict between personal and corporate profits, and most of these people are invested heavily in real estate that will depreciate if a bunch of companies stop owning buildings that they only use for 8-10 hours a day, to say nothing of any fossil fuel or automotive investments they may have.
So your last point was on the right track, if underselling what they're getting out of this. Parking their supercar in the corporate HQ's reserved executive parking spaces and strutting around the corner office with a cup of coffee made to their exact specifications by an overworked assistant and ogling the tits of the secretary they personally selected for looking the most bangable is indeed worth a lot to them, and few have the willpower to deny themselves these more tangible pleasures to become the obscure head honcho of a more profitable company's Slack channels.
If AI makes a programmer appear more productive instead of slower, it's means they're slapping code together with great haste producing a ton of bugs, and they're going to need more engineers to fix those bugs, thus increasing headcount and showing how AI improves productivity and saves mon- HEY WAIT A MINUTE
D'oh, I mixed up the big conservative papers that start with W...same problems though, just minus the conflict of interest.
This, the WSJ is transparent about its bias at least, especially now that it's owned by Jeff Bezos. But between being a financially unstable company to start with, selling a stale product that had filled its niche, getting slapped with massive tariffs by Trump, the WSJ chose to blame the trustbuster who attacked the boss' company, which is letting political axe-grinding turn into bad journalism.
This is the kind of attitude that has resulted in workers now taking home 60% of their share of productivity today vs. what they got in the '70s. If anyone figures out a counterbalance to ownership-class power other than collective worker action, let me know.
This is the second time parody metal band Psychostick has foretold the future of US politics, first with "Political bum" and then "Numbers" - complete with muppets!
They were probably most concerned with ensuring that it wouldn't question the primacy of supporting free markets:
Everything old is new again:
I'd guess the device was one of these:
Let's wait for some precedent or at least a strong hint of inclination before we assume that future Dem presidents will also take the wannabe-dictator path from now on. While all future US presidents will have the opportunity to be mini-dictators until some much-needed guardrails are added, so far only one party (and in fact only one man) has taken it.
A Twitter-branded Mastodon instance might have a decent shot at success just due to the branding advantage, nothing since Twitter has been as well-known as Twitter.
If you parked the Venus zeppelin on Mars it wouldn't offer the inhabitants enough protection from the cold or radiation. But that's a minor issue next to the fact that it would explode due to the lower atmospheric pressure.
I guess you missed this part:
The firm’s findings still contrast strongly with those put forward by three Australia-based academics, who estimated in 2019 that based on transactional data from 2009 to 2017, one-quarter of all 106 million Bitcoin users engaged in crime, and that by 2018, illicit finance accounted for around $76 billion a year, or roughly half, of all transactions in bitcoins.
Cryptocurrencies have transformed drug trafficking by enabling crime syndicates to cut out street dealers and sell directly to customers around the world through darknet markets, as well as peddle higher-quality narcotics, said Sean Foley, a finance professor at Macquarie University in Sydney and one of the report’s authors.
“Chainalysis is trying to tell us about the total consumption of cocaine in Australia by telling us about how much cocaine has been seized,” Foley said. “It’s very difficult for me to meaningfully comment on the methodology because they don’t really tell you what they do.”
"Love is a snowmobile racing across the tundra and then suddenly it flips over, pinning you underneath. At night, the ice weasels come." --Matt Groening
