Just remind them that it’s natural to be curious about crab literacy, but they need to find a more healthy outlet for these feelings.

Ok, thanks for the detailed explanation. I guess if your goal is to make your model sound like another model that makes perfect sense.

I wonder if you’d be allowed to read some other passages in addition to the required ones?

Like the part where the one prophet has God summon a bear from the woods to maul like one or two dozen kids because they called him bald.

Or the part where the Israelites convince another group of people that they want to make peace and convince them to get circumcized as a sign of good will, then they massacre them all while the men are recuperating from the circumcisions, and God is basically like “good one!”

There are a lot of illuminating passages that would help kids make a proper judgment as to whether the Bible is really the product of an omniscient, benevolent being.

I’ve had the same grill (except 3 burners) for like 7 years, it’s great. The grates eventually did rust but you can get replacement parts easily. Enjoy!

The article is not clear on what a “distillation attack” is… what exactly is Alibaba supposed to be getting away with here? The article mentions using many different connections through obfuscation networks and proxies… so that would get them around rate limiting, and maybe enable them to submit many queries on free accounts… just spin up a new account whenever you hit the token limit of an unpaid account. So basically it’s a terms of service violation?

I don’t see why it’s necessarily a huge leg up for a competitor… they are just using the outputs of another model as training data. They still need to train their model, which is the expensive and energy intensive part.

It sounds to me like Anthropic just wants the US Government to help enforce its TOS internationally and force Alibaba to pay for those precious tokens? Because apart from that piece, the “attack” just seems like normal use of the service. If Anthropic’s service has an inherent vulnerability, that’s their problem.

Of course all the other comments about how they stole all their training data in the first place are spot on.

If the White House posts a statement that “The sky is blue,” I’m looking out the window to check.

No no really it’s about protecting girls, really it is! Now go on over to the doctor’s office and take off your pants.

+1 for Secret of Mana. Awesome game.

90% of MAGA would support Trump taking a dump directly on their faces.

Nope, now (by default) it opens all the files you had open the last time you used Notepad. You can turn it off, but it’s annoying.

Dear Mr. Karp, please fall off a cliff

There’s a lot of magical thinking about how AI will actually help the labor market, but it seems clear to me that the entire reason for the billions being pumped into AI is the potential to slash labor costs.

It’s like they’re building human wood chippers while telling us that all these human wood chippers will actually result in fewer people being fed into wood chippers.

Sure, I have no doubt that a terminated NIH scientist will have no trouble finding a “factory job” that pays two or three times as much.

What world does this guy live in?

I’m just spitballing here, but maybe you should find out what people want first, and then build that.

I’m not surprised that Hannity finds it “almost impossible to comprehend” that someone would resign to uphold their principles.

Also ironic since in this case the President and Secretary of Homeland Security immediately came out stating that the victim was a domestic terrorist and tried to murder the ICE agent with her car before any investigation was conducted, and both of which turned out to be false.

About 45 of the most confusing seconds

Very true, and a big part of the reason most people won’t want this.

It’s like the “AI pin you wear that absorbs literally everything you see and hear” product that was pitched a couple of months ago. Kill it with fire!

The article keeps using the phrase “upcoming XR revolution” but I don’t see this gaining much traction outside purpose-built implementations for specific jobs, and a subset of tech enthusiasts.

Long-time Linux user, have never run AV on my Linux machines.

A few years back, I was forced by compliance rules at work to install AV on a Linux server and started looking for solutions. I shopped around a bit and what I found was that even the commercial AV vendors who supported Linux had no more than 4 or 5 actual signatures to detect Linux malware, and they were all 5 or more years old.

Things may have changed since then, but this may be a good way to think about it… how much Linux malware can these tools actually detect?

Yes, Linux rootkits are a thing but if your AV doesn’t detect them, there’s no point running it.