Comment Re: Glucose-Ketone Index (GKI) tracking for dietar (Score 1) 25
Thanks for the tip!
Thanks for the tip!
Yes, that's because I put some useful cancer info there. Don't let this upset you - I earn no dime from that blog.
One of the most important info there is on Dr Seyfried work. His approach has kept patients alive - one pancreatic cancer patient alive for 6 years and a glioblastoma patient alive for a couple of decades. His approach relies on continuous glucose and ketone measurement. I've calculated my GKI using a glucose meter, and it can get complicated pricking yourself twice, running two test strips, doing the ratio, etc.
Here's a good overview on Dr. Seyfried's work:
https://pubmed.ncbi.nlm.nih.go...
I am promoting Dr. Seyfried. I am not Dr. Seyfried.
Dr Thomas Seyfried's work on dietary approaches to treating cancer uses Glucose-Ketone Index (GKI) -- a simple way to track how effectively you're shifting away from glucose metabolism toward ketone metabolism. The cancer patient makes dietary decisions to drive their GKI numerical value in the low single digits.
GKI Calculation:
GKI = Blood glucose à Blood ketones
Target Ranges:
General cancer management: GKI 2-3
Active treatment: GKI 1-2
Advanced/aggressive cancers: GKI below 1 (temporarily, with medical supervision)
Normally, you test fasting glucose and ketones upon waking. But continuous measurement provides a lot more insight.
I wrote a blog about GKI and other 'self care' approaches here:
https://enconsed.blogspot.com/...
"Debian is made by humans" makes as much sense as "holes dug by humans with shovels" when you have an excavator on site. AI is a force amplifier, an insanely fast and good one at that. It can not only write software, it can package it, port it, reverse engineer drivers for your favorite hardware and everything else a human might be able to do with a computer, but can't find the time, knowledge or motivation to do. AI is what basically turns all software into Open Source software, since AI isn't stopped by binaries and raw assembler code, unlike most humans.
Refusing to use AI just makes it look like somebody is more concerned with refusing to change their little hobby than the quality of their software.
> Loss of (human) cognitive function through its overuse.
If the whole anti-AI discussion has shown us anything, it's that most humans weren't very good with the whole "cognitive function" thing in the first place. Tons of parroting of long debunked arguments, complete lack of reflection, complete lack of forward thinking (spoiler: AI isn't stuck at ChatGPT3.5 from 2022) and other nonsense.
About the only valid concern against AI for Debian should be copyright, which is still a bit fishy, but since the rest of the industry doesn't seem to care, they might as well just role with it. Everything else just boils down to QA, you obviously shouldn't accept any AI change blindly, but you shouldn't do that with humans made ones either. If somebody spams your bug tracker with low quality AI slop, feel free to block them. Use AI for what it works for right now, and everything where it still fails at, check again in a year or two.
AI is the most powerful software since the invention of software, it's the stuff that was sci-fi just five years ago. Refusing to make is of it just makes people look inept.
1) They are comparing pre-lockdown levels of traffic- when "working from home" was almost zero, with post-lockdown -- many people continue to work from home, assuming they still have a job. There are massively fewer cars on the road than there were. Less pollution is a good thing, but fewer jobs? not so much. (I am retired).
2) They viciously forced people to sell older cars prematurely rather than allow them to be replaced at the normally time (I never replaced my car, as I could not afford one having only got scrap value for the old one - of course I resent this and feel bloody minded towards thee whole thing. i am not alone). Fewer cars - more poverty.
3) Electric cars because petrol is very, very expensive. We pay about £1.80 per LITRE! (Not Australian pounds - Slashdot still cant get this right!)
4) Global warming means less pollution from household boilers - no firm data on this.
Moral: the research finds what they were paid to find. (A good researcher usually finds more research is needed if he wants to keep his job).
While this isn't just a random AI hyperscale buzzword next gen data center, it is a large data center. And people that live where it is going have the right to know how it will be powered, cooled and all the environmental impact it has.
AI has brought more scrutiny to this in general because of all the bad well people building new data centers as fast as possible have brought. Making entire neighborhoods almost unlivable because of constant noise. People paying more for electricity to support grid updates they didn't need. Water shortages and so on.
LANL can and should be showing the way on how to create a data center with the highest standards of transparency, quality and care for the environment. And if they can't, too bad.
The screen that matters is the windscreen. Nothing should compete with it
Correction to my typos above: "The plates are both: on public display, and meant to provide anonymity (*) to vehicle owners, drivers and passengers"
(*) Not including plates such as "LEON-72"
It's not the ALPR. It's the registration lookup that's the problem. ALPR - the core tech - is genuinely useful. Consider this thought experiment: normal people (you, me and our neighbourhood posse) implement our own ALPR network. We run it on poles in frontyards, on old mobiles duct-taped to windows, on personal phones in its cradle as we drive around. We run torrents that sync ALPR data with trusted nodes. Someone vibe-codes an app that correlates ALPR data with public crime report: It flag plates possibly associated with crime, such as the casing of an area before burglaries. Another app detects bad driving (yes, where someone's "bad" could be someone else's "snazz").
So far, all is functioning as it should. Capturing ALPR data privately is just photography in a public area with no privacy violation. The plates are both and provide anonymity to vehicle owners, divers and passenger. The private ALPR network could help report concerns about specific plates to the police with no idea who owns the plates.
What breaks privacy is running a plate/car registration. Now you know the owner, where they live, whether they have insurance. Doing *that* should require lawful exigency or a warrant.
That level of coerced overtime is a big sign that things are about to collapse in a big way.
Very few companies make it through that kind of death march, much less newer companies. Most can't pay off the technical debt and the cost of employee turnover and things go south. In this case, it's doubly damming. You can't sell big gains in productivity and labor costs when you have to run your own workforce into the ground. If you are choking on your own dogfood, you can't expect to put a shiny label on the can and hope it sells.
None of this is surprising. Writing code was never the hardest part of software projects. It is making sure the code that is written is an acceptable foundation for the end goals of the project or company. Making code faster than people can read and review it just doesn't make sense. It may pay off or more likely, completely fall apart.
RF control drones are nowhere near dead. Even DJI Mavics are still used daily for recon missions, nothing beats their combination of price to video quality.
This is a love tap, fists will be thrown later. One thing can and should be done, we need to start adding aerosols into the atmosphere, the higher the better. Adding Na compounds to jet fuels would introduce just enough aerosols in order to start reflecting a tiny amount more of solar radiation than what makes it to the surface of the planet. 1-2% reflection is all we need to start reducing the temperatures. Of-course we will have to keep doing it until we figure out a more permanent solution.
This problem needs to be solved by references, ask AI, people, is this program safe before installing.
Google is now adding more rules to make sideloading more difficult while Apple never provided a way to sideload an app in the first place. People need to be able to build and load their own apps without permission from the OS manufacturer, a phone is a computer with specialized hardware, we do have ability to build and run apps on our own hardware.
This is an unauthorized cybernetic announcement.