News

Container import and export operations via trailer transportation have been temporarily halted

One of them, CVE-2023-37201, involved a use-after-free issue in WebRTC certificate generation

Discovered by Kaspersky, the campaign delivered 85,000 scam emails during the spring of 2023

In a survey, over half of UK citizens expressed privacy and security concerns over AI being used to analyze patient data

Rules will streamline cooperation between data protection authorities

Python script could minimize risk until a formal solution is developed

Open letter signed by 68 leading security and privacy researchers

No zero-days this month, so you’re patching to stay ahead, not merely to catch up!

I have mixed feelings about this class-action lawsuit against OpenAI and Microsoft, claiming that it “scraped 300 billion words from the internet” without either registering as a data broker or obtaining consent. On the one hand, I want this to be a protected fair use of public data. On the other hand, I want us all to be compensated for our uniquely human ability to generate language.

There’s an interesting wrinkle on this. A recent paper showed that using AI generated text to train another AI invariably “causes irreversible defects.” From a summary:

The tails of the original content distribution disappear. Within a few generations, text becomes garbage, as Gaussian distributions converge and may even become delta functions. We call this effect model collapse.

Just as we’ve strewn the oceans with plastic trash and filled the atmosphere with carbon dioxide, so we’re about to fill the Internet with blah. This will make it harder to train newer models by scraping the web, giving an advantage to firms which already did that, or which control access to human interfaces at scale. Indeed, we already see AI startups hammering the Internet Archive for training data.

This is the same idea that Ted Chiang wrote about: that ChatGPT is a “blurry JPEG of all the text on the Web.” But the paper includes the math that proves the claim.

What this means is that text from before last year—text that is known human-generated—will become increasingly valuable.

Kaspersky said European firms were most frequently affected, accounting for 25% of notifications