4,594 karma · joined March 17, 2025
I don't understand why people keep repeating this meme when emulation exists, and discs remain the easiest legal format to grab data for emulators to play. You may need an exploit to get game data off a digital-only console.
Unless you consider natural gass green energy, it's quite the opposite for the moment. This is because the AI build-out is about speed, not cost-effectiveness. That is why xai's Colossus I & II were illegally running gas turbines, and Google recanted its pledge for data center renewables targets.
AI by itself, is surprisingly polarized; Ed Zitron even more so.
Skill issue. This is common for low-barrier careers that look like anyone can do them, but only a minority break-even. Others include porn/Onlyfans, social media "influencers",and hordes of aspiring actors who flock to Los Angeles.
It's almost never a drop-in replacement, and having to check and adjust integrations and workflows with new models gets old fast. My task was perfectly solved by the old model, I don't need a newer, "better" one - especially at higher prices ("more cost-effective" my foot). Local models lets one choose a model and freeze the downstream integrations forever, without being forced on the 6/8-month upgrade treadmill by aggressively short, scarcity-driven hosted model-deprecation schedules.
I was proud of that, and am slightly bummed to hear someone thinks it sounds AI-like. Also, I had a typo, its supposed to be "faint" (light) not "feint" (fake-out), though the latter worked out in context, and works by adding a homonym layer to the turn of phrase already turned on its head. 2 layers of smug, conceited cleverness - or 1 layer and a typo if you're not feeling charitable - that gets in the way of clear communication seems very human to me, YMMV.
As a beneficiary of Debian, this is good, you are praising Debian with feint damnation. I wish Debian had done more gatekeeping in the past on specific components.
Also known as the AI chickens coming home to roost. Microsoft was the first to use code uploaded to GitHub to train AI models.
Someone in your org does - an individual or committee: that's the entire purpose of the hiring pipeline. I've interviewed candidates at multiple companies small and (extremely) big, and interviews always have to give recommendations for ranking purposes (out of 10/100, or (strong-/)yes / maybe / (strong-/)no)
I am not attacking you personally, but the fact remains: in some circumstances hiring "the best" - when they happen to be a non-citizen - can be in contravention with the law depending on the visa class and whether you failed to find an American capable of doing the job.
Don't just take my word for it, big tech companies have lost or settled multiple AG suits because they tried to hide job postings from Americans, e.g. by posting SWE/PM jobs in some podunk, print-only Farmers-Weekly-type magazines.
> A lot of US tech exists because of skilled foreign workers.
I fully agree. Unfortunately being skilled doesn't grant them the right to vote, and as young people keep finding out, those who write (and sign) laws care a lot about what actual voters think and feel. You have to get into office first before you can do the hard labor-policy stuff.
For some visa classes, the law says you should hire an American citizen if they can do the job - not if they rank first at whiteboards or fizz-buzz.
> If tomorrow you were to tell (let say) Google they now need to hire only US citizens, would they lower their hiring bar
Does it really matter? To a point, obviously, but a lot of people are good enough for the role without being the world's best. The bar for getting into Google has dropped since its early days, and Google keeps breaking profit records quarter after quarter.
This entire "hire the best or nothing" mindset has led to a dysfunctional hiring process that's a pain to both employers and employees, and is prima facie unachievable.
Probably not anytime soon, and it's getting worse: every AI-pilled CxO is horny for AI-boosted velocity - instead of security. Expect more bugs shipped, based on just the volume AI enables.
1. A lot of data vendors key information on phone numbers or email, that's why all rewards program are thirsty for it.
Put in the work. This is akin to asking how to remove Rust from a Rust project; just because something is legally available to you doesn't mean you wont need to apply dome elbow grease, depending how deep the changes you want are, ablation, fine-tuning, or distillation are tools you can use to remove "censorship"
This was a common attitude 2017-2020, and they got disabused of that notion when Trump won in 2024. I would further argue the muted response during Trump I based on an idea that thing would "return to normal" emboldened Trump II - so that was not a winning strategy. The only country that seemed to have the correct read, and translated it into policy was China. Every other trading partner of the US seems to be floundering still.
Add that to the list of things I thought I'd never hear a conservative say.
Say what you will about the man, but Trump's takeover of the mainstream conservertive movement has been thorough, and eerily cordyceps-like.
I too, am happy to announce a research lab backed by a planned zillion-dollar fund over the next century. It's not investor fraud if my plans change.
There are vendors that sell the technology to adversarially access phone data, the "Before First Unlock" is the safest state a phone can be, but it's not infallible. The safest option is to have a burner or factory-reset phone with nothing on it, even if the hack succeeds.
Because words mean things, and precision matters.
An actual jury nullification cannot be appealed, and the accused gets to go scot-free forever in that jurisdiction, even to prosecutor's chagrin. In this case, the prosecutor could gather another grand jury and try again, at any time, without restriction, if they so choose.
I disagree: having a big stdlib that encompasses a huge chunk of common functionality (logging, a plethora of network server/client protocols, etc) means that for basic needs, the question of 3rd party libs never arise, whereas for other language, the question is not if you need a dep, but which one. Making gorilla easier to find won't undo the cultural reluctance of adding a 3rd party dep when using the (very pragmatic, IMO) stdlib server is adequate to the task.
If everyone could convince management to care about security over "productivity" (read as number of marketable features squeezed out of organizational orifices per unit time), and maybe wire-up open-weight agents to do security critiques, we'd all be in a much better place, but Altman won't like that.
I'm curious to know which apps/use-cases you feel are hobbled by the non-flagship processors on Pixels. It feels like most peoples top 3 activities on phones are infinite scrolling inside apps or a browser, taking pictures, and playing games, which Pixels seem to be great at. It's been many years since I felt that a phone that is slow enough to notice - even the midrange ones, and I (used to) write and debug code on my phone.
The subtext is broken social contracts[1]. A 36MW steel mill is loud, hot and polluting, but it is tolerated because it makes up for the ills by employing a lot of locals and positively contributing to the local economy (housing, retail, food and beverage), etc.
The AI CEOs thought it'd be a good idea to hype their products by promising to take people's jobs away, and people remember that when a new data center proposal pops up in their town/county.
Circling back to your generalization: if an equivalent 36MW steel mill flew in workers from Canada/Mexico for each shift - or somehow implemented 99.5% tele-operation by Ghanaian workers, locals would grouse about the pollution and noise because they can identify a raw deal.
1. Americans have been fed up with powerful people getting away with violating social norms for 2 decades - if not longer, sometimes with a partisan tinge, oft-times without. It's the common thread linking the Tea party, Occupy Wall Street, Bernie Bros, Trump I, BLM protests, the Epstein files legislation and release, cutting down of Flock cameras and the ire against AI and AI data centers.
I don't know why you'd take that as a given when marquee RISC-V microcontrollers are almost universally low-cost, but Arm has pricier marquee parts, thus a bigger opportunity for undercutting the market leader on price with a cloned product.