It’s absurdly actually come down significantly in the US since 2021.

That $98 is a major improvement.

The ocean would revolt.

Crushing turts

That order lasted about 10 minutes before a judge appointed by Ronald Fucking Reagan.

Ex post facto laws are expressly prohibited in Article I, so they can’t pass a law criminalizing downloads from before the law was passed.

They can, however, criminalize possessing a copy of DeepSeek. In that case you’d be legally required to delete it after the law passed.

When fascists start trying to get stricter on guns, it’s time to buy more of them.

The number one predictor of electoral outcomes is people’s feelings on the economy.

She messaged me twice.

I’ll make sure to say hi for you next time.

When you change carriers, they unlock it.

When I moved from Verizon to ATT on my phone, all the Verizon crap disappeared as soon as Verizon released the device. ATT then pushed an OTA that put all their bullshit a day or so later of course, but there was a window they’re when I probably could’ve gotten more access.

What’s the knowledge cutoff date for the model? Is that even a thing on Gemini? I’ve been pretty intentional about not using it.

Is it from before Musk became such an overt political figure? I genuinely don’t know.

Verizon will let you transfer the phone to a different carrier after like 3 months of owning the phone.

Who’s gonna update it?

The entire post is about Microsoft investigating whether DeepSeek faked its results using OpenAI data, driving the freefall in tech stocks and endangering future investment in the technologies used to create the models.

You not liking the tech has fuck-all to do with the topic.

So you butted into an argument about efficiency, said “fuck all that”, and then said I’m getting too in the weeds by sticking to the original topic?

Go spraypaint some fur coats or something. We’re trying to have an honest discussion.

That’s your opinion/agenda, not a legitimate argument in the conversation about AI efficiency. The discussion is on how best to achieve a goal, and you’re saying that it shouldn’t be achieved. Even if you’re right, you’re still going off on a separate tangent.

You’re the vegan who butts in on the conversation about how best to sear a steak and says meat is murder. You’re welcome to your opinion on meat and you may even be right, but it is of absolutely no value or interest to the people talking about methods for cooking meat.

That’s a very important, but entirely separate conversation.

So what happens when OpenTuna runs out of fish to steal and there are no more boats?

Information doesn’t stop being created. AI models need to be constantly trained and updated with new information. One of the biggest issues with GPT3 was the 2021 knowledge cutoff.

Let’s pretend you’re building a legal analysis AI tool that scrapes the web for information on local, state, and federal law in the US. If your model was from January 2008 and was never updated, then gay marriage wouldn’t be legal in the US, the ACA wouldn’t exist, Super PACs would be illegal, the Consumer Financial Protection Bureau wouldn’t exist, zoning ordinances in pretty much every city would be out of date, and openly carrying a handgun in Texas would get you jailtime.

It would essentially be a useless tool, and copying that old training data wouldn’t make a better product no matter how cheap it was to do.

Yes, but that doesn’t mean it is more efficient, which is what the whole thing is about.

Let’s pretend we’re not talking about AI, but tuna fishing. OpenTuna is sending hundreds of ships to the ocean to go fishing. It’s extremely expensive, but it gets results.

If another fish distributor shows up out of nowhere selling tuna for 1/10 the price, it would be amazing. But if you found out that they could sell them cheap because they were stealing the fish from OpenTuna warehouses, you wouldn’t argue that the secret to catching fish going forward is theft and stop building boats.

Which is fine in many ways, and if they can improve on technical in the process I don’t really care that much.

But what matters in this case is that actual advancement in AI may require a whole lot of compute, or may not. If DeepSeek is legit, it’s a huge deal. But if they copied OpenAI’s homework, we should at least know about it so we don’t abandon investment in the future of AI.

All of that is a separate conversation on whether or not AI itself is something we should care about or prioritize.

I think the big question is how the model was trained. There’s thought (though unproven afaik), that they may have gotten ahold of some of the backend training data from OpenAI and/or others. If so, they kinda cheated their way to their efficiency claims that are wrecking the market. But evidence is needed.

Imagine you’re writing a dictionary of all words in the English language. If you’re starting from scratch, the first and most-difficult step is finding all the words you need to define. You basically have to read everything ever written to look for more words, and 99.999% of what you’ll actually be doing is finding the same words over and over and over, but you still have to look at everything. It’s extremely inefficient.

What some people suspect is happening here is the AI equivalent of taking that dictionary that was just written, grabbing all the words, and changing the details of the language in the definitions. There may not be anything inherently wrong with that, but its “efficiency” comes from copying someone else’s work.

Once again, that may be fine for use as a product, but saying it’s a more efficient AI model is not entirely accurate. It’s like paraphrasing a few articles based on research from the LHC and claiming that makes you a more efficient science contributor than CERN since you didn’t have to build a supercollider to do your work.