Apologies, meant to be taken in the context of the headline:

Does it matter that AI is remembering if on the whole we are getting problems solved faster?

So remembering is not thinking?

Does it matter if we get more math problems solved?

Its Deja vu all over again: https://en.wikipedia.org/wiki/COINTELPRO

We need comprehensive privacy legislation with teeth.

The Department of Homeland Security was just a combination of existing federal bureaus into one entity. What you have to remember and what is noted in the 9-11 report and everyone should read the 9-11 report is that we had evidence of the attacks prior to them occurring, but the problem was inter-agency rivalries prevented the information getting to some central location where you can connect the dots.

Now it’s not to say that there wasn’t a lot of knee jerk authoritarian reaction to the attacks in the form of the patriot act, warrantless surveillance, legalized torture, and extraordinary rendition. Combining federal agencies into the department of homeland security by comparison seemed pretty mild at the time.

Is 30,000 a lot for China? I feel like it might not be.

Also this is kind of the bottom line: “The LX 7G100 remains a poor buy for anyone chasing performance per dollar…”

Science routinely solves problems like this:

https://en.wikipedia.org/wiki/Photo_51

In some sense this is the very heart of science: taking disparate views of the world and drawing likely conclusions that are testable and reproducible.

Scooby Doo

When you use biometrics with passkey, they are stored on-device. In that sense they respect privacy.

Rough surfaces can be more aerodynamic than smooth ones

“For more than 80 years, the principle of “the surface of an object must be smooth” has been the basic premise of aeronautical engineering throughout the world in order to suppress the transition to turbulence and reduce aerodynamic drag. This premise was based on the results of a 1940 study by Ichiro Tani, a Japanese aerodynamicist who quantitatively demonstrated the relationship between “surface roughness” (an indicator of the state of the machined surface) and turbulent transition, arguing that surface roughness, which was unavoidable with the manufacturing technology of the time, prevented laminar flow from being realized.

However, in 1989 Tani reinterpreted the experimental data on rough-surface pipes obtained by fluid engineer Johann Nikulase in the 1930s, bringing a new perspective that “roughness may not necessarily only promote turbulent transition and increase fluid resistance.” Inheriting this idea, a research group led by Yasuaki Kohama of Tohoku University experimentally demonstrated in the 1990s that fibrous rough surfaces, which have fine fibrous irregularities on their surface, have the effect of delaying transition under certain conditions.”

This guide is pretty good -> https://ssd.eff.org/playlist/journalist-move

Avoid the internet altogether with Meshtastic or Recticulum if your goal is coordination amongst a closed group.

Good luck stay safe.

https://reticulum.network/

I love NOAA’s hourly graphs. It is a quick visual way to understand the expected forecast. I wish I could find a good iPhone app that does something similar. Carrot is pretty good, but has annoying popups asking you to subscribe to premium.

Connections by James Burke

Food from thousands of miles away in abundant quantities.

So its like Ntop for Kubernetes? Is it better than Ntop?

Fine. If you insist, I will include the periodic table in my password cracking table.

I transitioned to an ebike.

I enjoy watching sports, but I do not obsess over it. I have a MythTV DVR setup to record OTA broadcasts. It records some matches, I watch those matches. I skip all the commercials and a lot of the boring bits TBH. Sometimes I go watch highlights on Youtube of my favorite teams.

Am I the only one who thinks the name is too close to mamogram?