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This article feels like it's written by AI. And from what it sounds like the switch just enables Airplane Mode.

I used to own (well, technicall I still own) a Jolla Phone when it was released in 2014 and what was way more beneficial towards my privacy as a user, was the fact that it was a full fledged linux phone where I could have potentially installed any piece of software I would have wanted, with full root access in a custom linux terminal with bash. I think I once tried to run a Minecraft Server on it.

I was hoping that they'd port aircrack-ng to it, like it was possible with the Nokia N900, but sadly that never happened.


This sounds different to airplane mode:

> hardware switch that physically disconnects your microphone, camera and Bluetooth

When switched on it's impossible for your phone to listen to your conversation and send the data to some company somewhere or use it to influence ads. Airplane mode doesn't switch off the microphone, so your phone can just store the data to transmit later. And even if it did switch off the mic, it would be a software setting that could be undermined by some component manufacturer.


One thing that comes to mind is latency in a HPC context.

If you can fit your entire software stack into L3 cache, you never have to access memory and benefit from insanely good latency.

This was a thing in HFT like ~5-7 years ago, where you might have bought a 28 core Xeon, disable all but one or two cores and benefit from ~30mb L3 cache, which can fit an entire Linux Kernel, an SSH server and your trading software.


Could you provide a link to a libc equivalent for this?

I was hoping for some documentation on how to get networking but I can't find anything immediately in the README



Is there a system call reference somewhere?

That question comes up every time this fact is posted, and it could be for the very simple reason to disincentivize annexation to a later date.


What events are we talking about here?



> In my opinion this project is the best effort so far to have a full Office365 open-source alternative.

Then the effort sucks.

From my perspective as a German, this almost looks like a scam. It's a bunch of OSS software rebundled as a package by a company which would like to make money off of support for the software. Which inherently sounds great, except that their only original contribution to the software package is a mid tier project management app.

The vibe I've been getting so far, is that they're trying to resell OSS software and accompanied support, except the underlying software already has great community and commercial support (Nextcloud and Collabora for example) and to make up for that, they're getting the german government to slap a "Made in Germany" label onto the package.


No it does not. And you act very german right now.

ZenDiS is the german goverment.


I’m an American and thought the effort sucked too - I had the same thoughts (it looks like a thin wrapper around other open source code with closed source “enterprise edition” which allows for providers there to overcharge for functionality that isn’t returned to the open version).


You mean like every Linux distribution is a wrapper or more like the Linux kernel it self that use GNU to build and develop the kernel?


This is why the GDPR is so nice. A company needs a strategy in place to make sure your data is actually deleted and that strategy needs to be verified to work. Purging backups of records to be deleted upon reimport is fine, but you better make sure that process works, else the person who's data you accidentally didn't delete has a case against you in court.


The thing is people generally aren't going to court when they suddenly notice a deleted photo still in their cloud docs. They're going to think it's a glitch or that they hadn't deleted it. Proving something like this in court is tricky - how would you prove to the judge you deleted something and that it randomly reappeared after some years?


> Oh yeah the horror of not being able to go behind your boss's back in a company email.

The horror of finding out that my employer lies to me and invades my basic human right to privacy, because they know they can only get what they want from me by manipulating me.

> The tragedy of being ignored when bringing up office equipment in a discussion about saving costs in a tech platform.

The tragedy of pointing out, that apparently only some deverse clean water, while others don't, and having it fall on deaf ears.

> The inhumanity of having workers hired to make food and do dishes on a Friday.

The inhumanity of devaluing people based on their misfortune in life, that didn't enable them to jump into a well paying tech job.

> The absolute gall to be asked a question about the identity you are proud and obnoxiously open about.

The absolute gall of my employer to berate me about my pride, my _identity_ they find so obnoxious, only to take advantage of it once it serves their purpose.

The water purifier thing was CARTOONISHLY evil, like you took it from the fucking Fallout Universe!!!!


> The horror of finding out that my employer lies to me and invades my basic human right to privacy

It’s a pretty well known fact that work communication isn’t private, for auditing purposes, business continuity etc. You can always use your personal email instead.


To ruin it for everyone: They're also patented :) https://patents.google.com/patent/WO2023143707A1/en?inventor...


What's the innovation here?

Using logic operators? Picking something from a range of options with SoftMax? Having a distribution to pick from?

I remember reading about adaptive boolean logic networks in the 90's. I remember a paper about them using the phrase "Just say no to backpropagation". It probably goes back considerably earlier.

Fuzzy logic was all the rage in the 90's too. Almost at the level of marketers sticking the label on everything the way AI is done today. Most of that was just 'may contain traces of stochasticity' but the academic field used actual defined logical operators for interpolated values from zero to one.

A quick look on picking from a selection found https://psycnet.apa.org/record/1960-03588-000 but these days softmax is just about ubiquitous.


> What's the innovation here? > Having a distribution to pick from?

As I understand it, it's exactly this. Specifically, representing neurons in a neural network via a probability distribution of logic gates and then collapsing the distribution into the optimal logic gate for a given neuron via hyper-parameter tuning in the form of gradient descent. The author has a few more details in their thesis:

https://arxiv.org/abs/2209.00616

Specifically it's the training approach that's patented. I'm glad to see that people are trying to improve on his method, so the patent will likely become irrelevant in the future as better methods emerge.

The author also published an approach on applying their idea onto convolutional kernels in CNN's:

https://arxiv.org/abs/2411.04732

In the paper they promise to update their difflogic library with the resulting code, but apparently they seem to have conveniently forgotten to do this.

I also think their patent is too broad, but I guess it speaks for the entire ML community that we haven't seen more patents in this area. I could also imagine that, given that the approach promises some very impressive performance improvements, they're somewhat afraid that this will be used for embedded military applications.


Liquid NN are also able to generate decision trees.


My Zojirushi rice cooker says fuzzy logic on it, it's 15 years old, so that phrase was still marketed 15 years after "inception".


To ruin this for everyone: The underlying optimization that enables these to run as computationally efficient as they do, is patented:

https://patents.google.com/patent/WO2023143707A1/en?inventor...


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