1. People give the information to the government under the expectation that this data is to be kept private or used in such a way that individual targeting is made impossible, you break that expectation and people will lie or won't give you this data.
2. Without noise injection it's rather simple to do statistical attacks to reverse engineer individual entities.
3. This data is and has already been used in the past to undermine democratic systems by targeting and disenfranchising minorities, as well as gerrymandering the US to hell.
4. "Too dangerous to make public, too dangerous to collect" - this is a false dichotomy. To govern effectively you need sensitive data, but it should be collected and used in a way that's safe for the individuals.
5. Macro level aggregates don't need individual exposure, that's why noise, anonymization and statistical functions are fine.
You're not entirely wrong but your snide tone is annoying and unsuitable for this platform. Anyway,
1. Claude Code is widely used and beloved despite not benchmaxxing on the terminalbench like these harnesses that nobody has ever heard of or uses.
5. Karpathy's contributions are way more than CS 231n and coining vibe coding. In terms of pedagogy, his "zero to hero" videos, nanoGPT, etc, are all great. For actual work, he also built a great org at Tesla.
NTA but Claude Code is everything but beloved. It's incredibly meh, very buggy (to that extend that customers were literally losing money), heavily vibecoded and all around just... bad. I appreciate it for kickstarting the whole terminal agent thing and I would still use it but only because Anthropic mandates it for using Claude with your subscription.
It or its variants probably contains PFAS which probably makes it hazardous to spray. Also, I suspect that breathing its ambient vapor while spraying it is is bad for the body and brain.
Canola oil works in practice for basic tasks, but requires routine reapplication.
WD-40 classic does not contain PFAS. Which is not to say you should breath it in.
> Canola oil works super well in practice without any of these risks.
I cannot advise enough against using canola oil for most lubrication purposes. It's biodegradable and will break down (good for some applications) but for the most part oil breaking down is a bad thing if you want to keep something well maintained. It would gum up over time, start reacting chemically with dust or other chemicals, and potentially even cause damage. Especially if you lubricate to prevent rust.
Also, in the context of breaking loose bolts, oil alone doesn't have any capacity to break up or penetrate rust.
I have used it on doors for years with zero trouble. Granted, I have to reapply every four months. It is infinitely safer than the toxic brew that is WD40.
Do not use canola oil for most lubrication tasks. You should almost always be using lithium grease.
Spray on white lithium grease works for most "architectural" or furniture uses (ex: door hinges, gas springs on chairs, garage door rails and chain, etc).
For anything constantly moving (ex: gearboxes or bearings) you want a more viscous lithium grease (ex: red n tacky or lucas xtra/green).
But in pretty much every situation (on land) you want to be using a form of lithium grease if you want to actually keep the interface lubricated.
I think it would be worth it to investigate cyanobacteria toxins in water over there as they can cause similar symptoms. Next thing to check would be local sea food. I feel like glyphosate is a red herring here. Heavy metals could come from frequently eating local fish/shellfish.
Some cell and animal studies show that there is a slight possible effect. It hasn't been shown in humans, and even in extrapolation from animals, the protective benefit does not seem particularly significant.
2. Without noise injection it's rather simple to do statistical attacks to reverse engineer individual entities.
3. This data is and has already been used in the past to undermine democratic systems by targeting and disenfranchising minorities, as well as gerrymandering the US to hell.
4. "Too dangerous to make public, too dangerous to collect" - this is a false dichotomy. To govern effectively you need sensitive data, but it should be collected and used in a way that's safe for the individuals.
5. Macro level aggregates don't need individual exposure, that's why noise, anonymization and statistical functions are fine.
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