tlb

When paper data is breached, the crooks don't steal the paper and put in their own locked file cabinet. They take pictures of the documents and sell the data on the dark web. So the end result is the same.

I expect companies busy self-flagellating with prophecies of doom to fail, and companies selling the best models for the lowest price to win. But individual companies booming and busting won't disrupt the overall progress of the technology very much.

"<Q>What model are you?<A>Qwen." is surely in Qwen's training data. It's quite standard to include such meta knowledge during instruction tuning.

I learned to machine on their machines, before graduating to full-sized units. They were great for learning, because they had all the essential features of professional manual machines, but couldn't cause as much damage when something went wrong. And they were delightfully made and easy to take apart and modify. Sad.

That's true for production models, but a lot of research involves working with fine-tuned models made for one experiment. RL involves constantly updating weights. Those may well run in the same cluster as the eval.

It's shocking that anyone can spoof the number of, say, my bank. At least large institutions should have authentication.

Please don't submit pages with multiple unrelated stories, as it's not suitable for discussion.

You can engage with an AI-written document! Simply paste the document into the AI (same or different as the AI that wrote it) and ask questions. You can get an answer in seconds compared to an hour (if it's a blog post by an HN reader), days (if it's a professional blogger), or never (if it's by a journalist).

Perhaps AI-written articles should include the prompt as hidden text on the page. Or include a link with the prompt embedded, that causes the AI to spit out the same article that you could then ask questions about.

Gmail is at least as large a target, and they don’t keep having breaches.

I just ask LLMs questions about things I'm curious about. I don't really want to follow someone else's predefined curriculum. A curriculum is necessary when the information has to be delivered in a lecture, but not in a 1-1 interactive setting.

If you type "I want to learn CUDA programming. Where should I start?" into Claude, it gives a pretty plausible outline. It's not clear what an app could add to it.

Some of mine do. They use WASM64 with threads to run robotics simulations.

This is out of date. There are now a number of fusion energy startups, including Helion which has raised $1B from investors, mostly Silicon Valley ones you've heard of. It's not yet proven that the tech will work, but it is proven that investors are willing to fund it.

They do as soon as that company makes a profit, or anyone sells shares in that company.