Thanks this is a lot of great detail on the dosing mechanism that I think is really interesting. I love reading up on the experimental details and the actually components used to make these experiments work.

300mg of orally ingested THC spread out over 24 hours is about equivalent to consuming 1 typical candy/gummy every hour for 24 hours of the day. A reasonable or average or normal person would be uncomfortably high at these dosages. I also imagine the bioavailability of oral ingestion is less than the dosing mechanism you described although I’m not sure (is that getting taken up through the lymphatic system? How does it differ from oral ingestion or injection into the bloodstream?).

Fascinating stuff, thanks for sharing your knowledge.

Maybe I’m misreading the only plot that mentions dosing numbers anywhere. It looks like the largest dosing group is getting 3mg/kg/day. That’s a lot scaled up to a 100kg person (like 10x a normal gummy for example).

But if the average is better, then we’re will clearly win by using it. I’m not following the logic of tracking the worst case scenarios as opposed to the average.

Just like all humans can do right now, right?

I never see any humans on the rode staring at their phone and driving like shit.

You using a different kind of sumac than the rest of us? https://en.wikipedia.org/wiki/Sumac#In_food

It’s for a 3/4 cup serving which doesn’t seem all that unreasonable.

No, the analogy is more that the oscillations are themselves the particles.

The addition of energy into a system would be this hand push. The fact that the particles themselves exist means that they are oscillations in this mesh (with some energy/frequency). Interactions with other particles can add or remove energy.

Definitely these canvas metaphor are just conveniences. Also, I got it from Zee’s “Quantum Field Theory in a Nutshell” which is a standard graduate or advanced undergrad level book on QFT.

Special relativity definitely overlaps with quantum mechanics and that overlap forms the basis of the math used at collider experiments like those at the LHC. Special relativity is simple with 2 rules that let you derive all the equations: 1) no universal reference frames 2) speed of light is constant.

You’re probably thinking about general relativity which defines gravity through the curvature of space time.

If you think about quantum mechanics existing on some “canvas”, that might look like an interlocking mesh of springs (like something under a bed or cot). You could take your hand and bounces it up and down on this mesh, adding oscillations and creating standing waves in the grid. These oscillations would be different particles (electrons, protons) each with their own characteristic frequency of oscillations. If you add energy to the bed of springs, you can “pop” particles into existence. All these particles actually are are just excitations of the mesh/canvas. As of yet, there’s been no way to define or find the gravity particle on this canvas, so right now the canvas of space time and the canvas of quantum mechanics are two distinct “things”.

Cheque? lol don’t give yourself away too hard comrade.

How long ago? ROOT (and other frameworks like GEANT) using C++ has been the standard for over 15 years, but probably longer. I think my advisor was of the last generation that had to write in Fortran.

There’s a remarkable difference in the quality of apps delivered from major tech companies using US developers and apps from contracted employees in places like Eastern Europe. You get what you pay for.

Having said that, I’m sure that there are good developers everywhere in the world. I’m not sure that excellence in the field is as widely rewarded as it is in the US, so why should the quality be high?

For software, if you’re used to big tech wages, you’re not taking less than $180k base. RSUs are probably somewhere like $400k initial grant, anywhere from 25k-100k yearly refresher. US engineers (good ones) are the furthest from cheap.

Bipping is the act of stealing from cars, often through the use of “splashing” (breaking the car windows).

Just the American ones though, right? 🤣

I swear people here are either too young or didn’t use the internet 8 years ago. All of this stuff was super common to search and get the first result back as the right answer.

You’re imagining a future where screen resolution doesn’t improve and lenses can’t solve these issues? Are people really this short sighted?

You could easily create a package that couples the authenticated device with a screen showing the faked images and bring that around. If there is a market for inauthentic images that appear authentic, people will easily bypass this technology.

Just take a picture of your manipulated picture/video from the Sony phone. This does not guarantee anything of value.

I found this repo interesting just for the sake of centralizing a lot of useful info around VHS. Even if you don’t follow this path, the knowledge might help: https://github.com/oyvindln/vhs-decode

Thinking about this more , you probably want this to develop a curve in your color space that represents something with constant CMYK values for your chosen light source.

https://python-colormath.readthedocs.io/en/latest/conversions.html

E.g. your sodium light is 100% yellow, 10ish % magenta. Any color that varies cyan from 0%-100% and black from 0%-100% should presumably not reflect any additional color information (since the source light doesn’t have any cyan and black is just giving brightness)

I also think this means that as long as you hold Y and M constant, you can vary cyan and black for your comparison colors that will look the same. If you try to vary cyan and yellow or magenta at the same time then your effect probably won’t work.

This is tricky because you have multiple curves in the color space that are valid when just considering a single wavelength. The reality is, your lamp emits a spectrum of light (sharp, but still has a width). There’s also the variability in perception. But I’m not sure what the “bandwidth” of our eyes is and what color resolution humans are capable of detecting.