animalCrax0rz

Given Amazon's willingness to spy on their business customers (traffic data in this case), should I be worried to deploy code on AWS that has high IP value in source code form (JS, Python, etc) or bytecode (Java/C#, which can be easily decompiled). I ask this because I noticed on AWS EC2 the default behavior is that Amazon produces the private/public key pair (as opposed to having the user add their SSH public key) so if they wish, they can access any code I deploy. Let's say I make a product on AWS that competes with a current or future product of AWS itself, and let's say it gets a ton of traffic, should I be worried? Should I be using only native binaries? (C/C++, Go, Rust, etc) ??

Totally. The general problem is indeed difficult to solve, but I've seen lots of great work in this area.

In addition, the wording "test positive for Covid antibodies" may lead people to think that 30% of the population in MA is immune to Covid19. It obfuscates the fact that the mere presence of antibodies does not imply immunity. There has to be a sufficient amount of antibodies in order to successfully fight off reinfection (which could be worse than the initial infection) ...

Nope, I was simply countering that it's not as simple as they suggested. I added the link to the paper to show one approach to given them some context as to what might it look like.

Google is aware of this problem in their search approach. It's a business problem, not a technical one. You're saying the same thing in suggesting they base their decisions on some measurement set. If solving the problem adds complexity, which it certainly will, and there is not enough improvement in accuracy for the majority of cases in their measurement set, why bother? You sound like the kind of person that attacks people for their opinion. So weird, dude.

Google is in the business of producing quick results to sell ads while keeping the cost low. If anyone does better, they will likely do it using a costlier algorithm, and if there is more margin in reselling tangible products than ads then Amazon is incentivized to use costlier algorithms that are more accurate. But I think the margin in both cases does not justify the use of algorithms that may be more accurate in some small percentage of cases but a lot more costly.

I keep trying to talk about the general problem and people keep focusing on this one example. I give up. :)

Yes, I was just countering that it’s more involved than recognizing the importance of “no” in a sentence.

Which part of "The paper I linked to below describes a technique they call "deep parsing." Check it out for more context." could you not parse?

I mean if us humans have a difficulty parsing each other's statements, then why should machines do any better?