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.

I was asking rhetorically since the graph makes it pretty obvious, but actually re-reading this article it’s a bit more complex than I recalled. There was basically some legislation in the mid 1970s that made them possible, the model grew through the 80s, but by the late 80s low-rent HMOs had taken over, and a crippling combo of regulation (to create new barriers to entry) and deregulation (for the existing guys) basically cemented the for-profit HMO/PPO providers that we all know and love (haha) by the 1990s. Had we held out for another decade we probably would have seen socialized medicine by the Clinton-era, but instead we got this graph, where we pay more and get less than everyone else, and half the country thinks it’s a great idea.

Can you guess when HMOs became a thing (and Blue Cross converted from not-for-profit to for-profit)?

Yeah in that context I guess it makes sense.

I never understood people posting porn to microblogging sites. What’s the point of this? There are literally millions of other places to get porn already, it’s like what the Internet was invented for.

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 think he’s pragmatic in the “whatever tool gets the job done” sense, but not in the “this is the job we should be doing” sense — if that makes any sense :)

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?

Super Mario Bros 3 - NES

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.

$8/dozen for both store brand and fancy eggs. South Florida.

The real joke is on the guy who bought a Maserati. That thing will be in the shop more than it’ll be on the road.

Damn I almost ate the onion there for a minute…

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.