crispycrafter2's comments

Thanks for the link. Will check them out

Could someone eli5 this to me?

It seems to me that a cohortised approach is intrinsically better for privacy as a whole as you don't care about individuals but rather a group of individuals with similar interests.

If this standard is not abused / de-anonymised then surely this approach is a good thing?

Big problem with Algae is two fold: 1) it uses water as process fluid 2) biological systems are slow in comparison to pure chemistry solutions.

There was a time when I was convinced Algae was the way forward but the rate limiting step for them just don't make sense.

Unless things have changed since I last researched this

Never have I been more proud a South African. Thank you for your insight. See you on the other side.

Publishing results that, to the best of your knowledge, are correct is a crucial part of the scientific endeavor. The fact this their results have been drawn into question is therefore a good thing. A hypothesis that has been proven to be false is a net positive to humanity as a whole.

This reminds me of a excerpt from the opening line of my undergraduate thermodynamics textbook: "The theories presented in this work are true due to the absence of contrary evidence"

The energy to melt and process glass is for sure the big limiter here.

OK, so my knee jerk reaction was that the wavelength that starlink use simply won't allow it. Practically the antenna needs to be at least 1/4 the size of your target wavelength [1] It seems though space ex are using vanilla Ka, Ku and E band frequency, which have wavelengths in the centi to millimeter range. It must be that we don't have enough devices yet to allow for seamless handover between sats, without ground based tracking antennas [1] https://physics.stackexchange.com/questions/315915/why-do-we...

Hahaha.. Force the hand of those who feed and we'll force the hand of the fed.

The West has blocked Huawei from being used now they force the populis to demand open networks.

I’m not so much concerned about it being an open system but rather that it relies on water as a process fluid. Sure running a geyser for 30+ years is fine if all your losing is thermal efficiency. But in this case we are talking about sticking your neck out for 50% efficiencies.

How long before fouling, pump degradation or just simply water sacristy cripples a system like this? Or simply renders it so inefficient to be superfluous?

No troubles this side. Ryzen 5, RTX2080 daily driver on Ubuntu 20. Even use steam for Linux mostly in the off hour. Very little noticeable diff with game performance on win10

Ipad

Do you even belt bruh?

The problem with ab-initio methods in this context is the sheer number of non-covalent interactions present in these large proteins. A simple protein would require a hybrid quantum mechanic/molecular mechanics simulation to even approximate the vibrational energy required to validate equilibrium.

These proteins are so massive that we often use Daltons [1] as an averaged measure of molecular weight.

Conceptually one of the most promising applications of quantum computing is theoretical chemistry, and we are only now starting to make progress in this avenue [2]. I anticipate it would require quantum computing to explicitly optimise large folded proteins.

1. https://en.m.wikipedia.org/wiki/Dalton_(unit) 2. https://arxiv.org/abs/2004.04174

I've been using Psilocybin to treat chronic migraine for about 5 years already. Discovered it by accident one day during my Uni days.

I have subsequently been following the literature on this effect. It annoys me that the opening line of this article reads "in a first of its kind"

That's good to know. My comment was borne out of the uncertainty around pymc4 with tensorflow. We are currently using Stan in production and have been hesitant to pull the trigger on pymc3/4 due to this uncertainty.

I welcome and applaud the choice of JAX as it shows a lot of promise with autograd and flexible execution targets.

I wonder if this was borne out of the success of NumPyro. Been playing around with, pystan and NumPyro recently. Mostly because pymc3 is going the way of the dodo.

NumPyro / JAX / PyTorch just seems like the most versatile offering out there right now

JAX