and yet
One in Four US Households Likely Exceed New Soil Lead Guidance Levels
https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2024GH00...
3,634 karma · joined October 2, 2011
One in Four US Households Likely Exceed New Soil Lead Guidance Levels
https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2024GH00...
But, here's an issue for me: it makes your (cacheable/compressible) CSS smaller and your (uncacheble/uncompressible) HTML larger
Of course, you can cache and compress HTML. Unless you're using TLS, then you should not compress HTML (see BREACH). And unless you have any dynamic data on your page, then you won't be using caching...
And Tailwind makes HTML responses quite a bit larger
the calculator at https://xkqr.org/insurance/ would be more useful if the numeric input for probability's step was 0.1 or 0.05, then you can use the up/down arrow keys to change the value. see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes... . and incr step of "cost" to say 100
Also, if there was a link to a big "probability of x" life events, like getting in a car accident, or your sink overflowing
needs an easy Type I/Type II ... filter. easier than a kw slider
I appreciate first principles, but i just used dkpg-deb --build
(AWS has partially implemented IPv6, but it's still not usable in my mind)
https://netboot.xyz/docs/faq/#operating-systems
looks like you can use it on aws / ec2:
what are some good alternatives to Chromecast? (can cast from phone or desktop browser)
for exporting nginx logs elsewhere, vector.dev is nice. can send to dozens of places. can parse user agent string, and do ip geocoding too
Even when I'm giving advice on a domain that I'm successful in, to a person that's similar to me, they rarely take it, so I've stopped giving it
anybody in Greater Vancouver wanna do a bulk order w me?
As a community service, the JFrog Security Research team continuously scans public repositories such as Docker Hub, NPM, and PyPI to identify malicious packages and leaked secrets. The team reports any findings to the relevant maintainers before attackers can take advantage of them. Although we encounter many secrets that are leaked in the same manner, this case was exceptional because it is difficult to overestimate the potential consequences if it had fallen into the wrong hands – one could supposedly inject malicious code into PyPI packages (imagine replacing all Python packages with malicious ones), and even to the Python language itself!
The JFrog Security Research team identified the leaked secret and immediately reported it to PyPI’s security team, who revoked the token within a mere 17 minutes!
This post will explain how we found a GitHub PAT that provided access to the entire Python infrastructure and prevented a supply chain disaster. Using this case, we will discuss the importance of (also) shifting right in secrets detection – searching for secrets in binaries and production artifacts, not just on source code.
ooops. that's actually quite funny
in case you didn't know, Rogers is one of canada's "big 3" telecom providers. The outage in 2022 basically crippled our economy for a couple days (most ATMs / interac didn't work)