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illegal, the Consumer Financial Protection Bureau wouldn’t exist, zoning ordinances in pretty much every city would be out of date, and openly carrying a handgun in Texas would get you jailtime.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.

The question isn’t whether they’ve used the same information. It’s whether they’ve faked the process to achieve that 20x efficiency.

Look at it like a dictionary. Writing one from scratch is a huge task, no matter how many other books exist. How do you even go about finding all of the words?

But if other people have already written dictionaries, you can just use their word lists and go from there.

It’s more efficient, but only because it’s a completely different task.

But to answer your question, absolutely. In fact, Waze’s reporting is why Google bought it and added those features to Google Maps.

Guillotines are another option.