In principle interesting, but I can't stand the Claude writing.
> Keys with real blast radius
> Here is what they unlock.
> This is a floor, not an estimate of actual balances or unauthorized usage. The keys were verified but never used.
> We cloned the public dataset hub end to end: every repository, every branch, every large-file object
> The size is only half the story. These are the training sets behind models people actually use. The worst-hit ones are named, card-documented pretraining corpora that open models were built on. We verified every credential we cite against its provider, so they were live when we looked.
The whole post looks like a Claude artifact with random little cards.
It's also just too long, which is a side effect of using LLMs, it's just too easy to create walls of text.
I similarly find it interesting; I do not understand why it is not the default to just generate the thing as a draft, research anything you aren’t clear on, and re-write it in your own voice.
I guess Huggingface datasets are easy to crawl - those datasets are hosted to be crawled. In contrast to the web at large which will be behind Cloudflare etc
> Keys with real blast radius
> Here is what they unlock.
> This is a floor, not an estimate of actual balances or unauthorized usage. The keys were verified but never used.
> We cloned the public dataset hub end to end: every repository, every branch, every large-file object
> The size is only half the story. These are the training sets behind models people actually use. The worst-hit ones are named, card-documented pretraining corpora that open models were built on. We verified every credential we cite against its provider, so they were live when we looked.
The whole post looks like a Claude artifact with random little cards.
It's also just too long, which is a side effect of using LLMs, it's just too easy to create walls of text.