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Comment For the 867th time today... (Score 4, Informative) 40

You're not getting answers "from an AI", really. It's RAG (Retrieval Augmented Generation) summarization. It's a very lightweight model trained and tasked only to summarize the top search results. It's not "the AI" telling you to eat glue, it's top search results telling you to, and the AI accurately reporting on them

If they want to prevent this, they'll have to let the AI act more independently rather than just summarizing whatever garbage comes up on a search.

Comment Re:Eh (Score 1) 100

Sounds like a typical google result.

It *is* just search results. This isn't about "training"- this is RAG (Retrieval Augmented Generation). All it's tasked with doing is to summarize the top search results. This isn't a case of "The AI thinks you should put glue on pizza", it's a case of "the AI is told to summarize a bunch of articles saying to put glue on pizza".

The irony here is that the solution here is going to need to be to put *more* emphasis on AI and less emphasis on search results.

Comment Re:What? $750 million? (Score 1) 18

I get what they were going for. But the tech just isn't ready yet, and some things (such as the lack of a screen) will always be iffy, so it obviously should have just been a cell phone accessory. Probably could have worked pretty nice as a cell accessory. But the cell accessory market is hardly as glamorous as the "new device that makes your cell phone obsolete" market.

They also were about a year or two early, and a year or two behind on the frontend devel. Waiting for a cloud response is just not a practical way to do things. With some development work, you could make a hybrid of cloud queries on a high-end model and local queries on a low-end model (like Phi 3). The low-end model could be fine-tuned to act as a "manager", incl. ability to issue commands to find definitive answers (RAG for search results, code gen to run mathematical operations, queries on your your data in the phone, etc), and to command the apps in your phone (there's been neat work on having models learn how to control arbitrary apps). It could also start answering queries on its own while waiting for the cloud, and then seamlessly merge in the results when the cloud stream started to arrive (incl. backtracking if the cloud suggests a better solution). But all this takes time and development work. A rush to market doesn't cut it.

Would also be a lot more useful after some of the anti-hallucination mechanisms mature. RAG helps a lot with that, but it has its own limitations. My money is still on MoEs with cos similarity between hidden states of each expert run fed back into add+norm for the next layer, since a confident answer should get similar hidden states between different experts.

Comment Re:No One Will Follow Them (Score 1, Interesting) 28

They had a chance to do this right. They could have, say, mandated a series of tests (which they can update the rules for at regular intervals if they prove insufficient) for testing whether models are memorizing and leaking data that they shouldn't. But as always, leave it to the EU to legislate methods rather than outcomes.

Comment Re:No One Will Follow Them (Score 2) 28

And big companies don't want to be fined into oblivion, so yes, it matters. And with rules like:

untargeted scraping of facial images from the internet

You might as well have just entirely banned scraping from the internet. Who wants a diffusion model that's great at everything except has no bloody clue what a face looks like?

Comment Re:The connection problem (Score 1) 47

How many commercial products do you see on the market?

Nobody is saying that "neural implants" are new. Trying to make them practical, such as not getting rapidly encapsulated and not having a hole in the head allowing infections to spread straight into the brain and having sufficient bandwidth for common tasks - is the point. This is not easy (particularly the first issue), which is why it's taken so long. The old meat cleaver-like Utah Arrays in particular just plow fat pins straight through blood vessels and trigger an immediate immune response.

Comment Re:Floating ice (Score 4, Informative) 90

And said ice functions as a barrier for the land ice, greatly slowing down its ability to progress into the ocean.

Also, it's an example of Bad Amateur Science that floating icebergs shed by glaciers don't affect sea level. What's true in the case of a glass of water in your kitchen is not true in the ocean. Freshwater ice, melted and diffused in seawater, results in an elevated sea level. It's a small impact (only about 3% that of land-based ice melting), but still meaningful.

Basically: a chunk of ice, floating in water, displaces its own weight in water. At 0C, Freshwater ice is .9167g/cc, and freshwater is 0.998g/cc. If 0.998g of freshwater (1cc) is displaced, then the volume of the ice is 0.998/0.9167cc, or 1.0887cc - 1cc below the waterline, 0.0887cc above it. As it melts, it shrinks back to 1cc, equaling the formerly displaced water.

Seawater at 0CC however is 1,028g/cc, aka 3% more. For a given amount of displacement, there's an extra 3% of freshwater ice volume and mass. This melts to a volume 3% larger than than the displaced volume.

Think of it using a extreme example. Pretend that neutron stars were stable containable liquids and not highly explosive condensed states maintained by gravity, and that you had a bucket containing a thin layer of it at the bottom. You fill the rest of the bucket with a giant chunk of ice. The neutron star "sea level" rise from having the ice atop it is basically immeasurable. That's your starting point. Now let the ice melt. Now the entire bucket is full of liquid. The "sea level" has risen dramatically.

Of course, it's even more complicated than this in reality, because you don't have a separation of saltwater and freshwater, but rather they merge, and the net density isn't exactly a linear weighted average between the two. Close, but not exactly.

Comment Re:1A (Score 1) 111

Yes, that's what extradition law is about. This isn't surrender as per a EAW. Extradition requires principles such as dual criminality, where what they're charged with has to be a crime in both the sending and receiving state, and speciality, where the subject can only be charged with the pre-agreed-upon list of charges. Extradition involves a high degree of sovereignty of the sending state, vs. EAW which is more like handing off a criminal in the US who fled across state lines.

Comment Re:Hertz messed that whole program up so badly (Score 5, Informative) 195

Teslas are not aluminum monocoque. Thanks for playing.

Like all cars, they're made from a mix of metals. I can only assume that you're thinking of the gigacastings, which are deep interior components, and if you're damaging one beyond usage, you've utterly obliterated your car already. They're not crush structures; the crush structures are mounted to them. They're also not the only main structural elements. The pillars for example are UHSS (ultra-high strength steel). But you're generally not going to be replacing or welding UHSS either. Once again, Tesla is not at all unique in this regard.

And technically you could fix mangled gigacastings, with body pulling. But body pulling isn't recommended on any monocoque car, only body-on-frame, as force transfer in monocoques is unpredictable.

As for "impinging on battery components", again, the battery is nestled between the gigacastings, making it even more internal. If you're penetrating that deep into the car, you're already talking about a writeoff.

People seem to have these weird images in their head of cars that are utterly mangled just being fixed for a practical price. That doesn't happen. Cars have outer panels and crush structures that are designed to be repaired / replaced. If you're penetrating deeper than that into primary structural members, the insurance is just going to write the car off.

Lastly: I have a Tesla. There is no "high cost of insurance". It's perfectly reasonably priced for a car of its price.

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