

Yes! Slip the sound board guy your discman and $20 and get a perfect recording. I remember a few times where there were a stack of discmans and walkmans (Walkman?) recording.
Yes! Slip the sound board guy your discman and $20 and get a perfect recording. I remember a few times where there were a stack of discmans and walkmans (Walkman?) recording.
Ah damnit so I did. The rest of the numbers are true, just not as close to the 1kg’s worth as noted.
A kilo of gold is worth about $193k currently, which depending on where you live and how old you are means different things. For example, if that was your whole net worth and you are a Baby Boomer in the US you’d be about $1.5M below the average family. If you’re under 35, though, you’d be slightly above average. (Via kiplinger)
FWIW because the top 1% have so much wealth they skew the average significantly - overall the median net wealth in the US is right around that $193k number, but the average is just over $1M, which is pretty amazing.
$200K in net wealth would just about put you into the global top 10% and into the top 1% if those were your earnings for the year.
Are they at least 3rd-hand, (or more) spurious sources with an inscrutable chain of custody
Is there any other kind?
ok, but what about three Youtube videos?
The main findings from the Economic Index’s first paper are:
- Today, usage is concentrated in software development and technical writing tasks. Over one-third of occupations (roughly 36%) see AI use in at least a quarter of their associated tasks, while approximately 4% of occupations use it across three-quarters of their associated tasks.
- AI use leans more toward augmentation (57%), where AI collaborates with and enhances human capabilities, compared to automation (43%), where AI directly performs tasks.
- AI use is more prevalent for tasks associated with mid-to-high wage occupations like computer programmers and data scientists, but is lower for both the lowest- and highest-paid roles. This likely reflects both the limits of current AI capabilities, as well as practical barriers to using the technology.
Interesting, not really surprising, and nowhere near as entertaining as when Pornhub does it’s annual introspection.
The “innovation” in the article is passive tech for fiber to the room (FTTR), specifically made to be low cost and easier to implement. It’s also how your computer might get that 50Gbit - it’ll have to be wired in with a fiber connection. It’s not happening over WiFi (or even Ethernet)
I think “good” and “bad” are hard terms to apply to people objectively, but I do believe that most people value social coherence and are willing to do (the minimum amount of) something to maintain it. If you can’t believe at least that it means that all of those thin blue line people are right, and I’m just not willing to believe that’s true.
That our benevolent alien overlords are gonna show up aaaaaany minute now…
Kinda funny how when mega corps can benefit from the millions upon millions of developer hours that they’re not paying for they’re all for open source. But when the mega corps have to ante up (with massive hardware purchases out of reach of any of said developers) they’re suddenly less excited about sharing their work.
No need to limit it to only people on social media…
Could even be his twin - that joke is from 2007, if little Bobby was in kindergarten then he’d be around 22 by now and could be trying to land his first job out of college!
😂
How else would you cosplay as neopolitan ice cream?
Wordpress has an ActivityPub plugin to federate your content with Mastodon, Pixelfed, Misskey, and others, and will push their comments back to you.
Yeah, the company that made the article is plugging their own AI-detection service, which I’m sure needs a couple of paragraphs to be at all accurate. For something in the range of just a sentence or two it’s usually not going to be possible to detect an LLM.
I have a hard time understanding facebook’s end game plan here - if they just have a bunch of AI readers reading AI posts, how do they monetize that? Why on earth is the stock market so bullish on them?
The scenario you describe with ISPs is pretty US-centric, as are the various copyright laws and companies backing it, which is (one of the reasons) why many of the most successful VPN companies are either not based in the US (and most have server nodes that are not too).
Mullvad is from Sweden, for example, and Proton is from Switzerland, so if a content company can even figure out which endpoint nodes are hosting/routing the pirate content they then also have to figure out (a) who owns the node and (b) then send them an angrygram which will just immediately be torn up by the VPN provider as they’re not subject to US law.
Finally, an operating principle of these companies is to keep no logs, so even if a US-based VPN company got an angry letter, they’d probably be unable to do anything since they would have no record of the activity.
The original gpt4 is just an LLM though, not multimodal, and the training cost for that is still estimated to be over 10x R1’s if you believe the numbers. I think where R 1 is compared to 4o is in so-called reasoning, where you can see the chain of though or internal prompt paths that the model uses to (expensively) produce an output.
Lots of sites offload payment directly to stripe, PayPal, etc. many even let you choose the provider. I don’t see why it wouldn’t work the same way.