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#linear

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Massive expansion of Italy’s Piracy Shield underway despite growing criticism of its flaws

Walled Culture has been following closely Italy’s poorly-designed Piracy Shield system. Back in December we reported how copyright companies used their access to the Piracy Shield system to order Italian Internet service providers (ISPs) to block access to all of Google Drive for the entire country, and how malicious actors could similarly use that unchecked power to shut down critical […]

#agcom #audiovisual #blocking #ccia #computer #copyright #costs #critical #deIndex #dns #DNSs #domains #DSA #elisaGiomi #eu #film #football #google #IP #ISPs #italy #linear #network #piracyShield #reporters #serietv #singleMarket #tris #tv #vpns #wipo

walledculture.org/massive-expa

I use #Linear alone and set up projects to organise my dev work. It gives me structure. Adding myself as the only member of a project, however, always feels a bit awkward. The upsides: sprint planning is a breeze and retrospectives very much run under the motto "be kind to yourself" 😆 #SoloDevWork

@ScienceCommunicator

We have 2 important considerations regarding this topic, IMO.

One is that we are not separate from the world we study. That we must always allow for interactions we find in similar subjects external to us to be operating in similar fashion inside of our own #systems. That is, we cannot build our models separately, with the outcome of purely phenomenological & physiological perspectives. Of course, where the similarities are few, those unique views are necessary. Consciousness would be one area where our experience should be included & weighed heavy in the model.

The other comes from #reductionism, and the need to incorporate boundaries, phase changes, and other #emergent phenomena that won't agree with the #linear summation during the reconstruction of the parts we identified on the way down.

So going down the chain of molecules, elements, and atoms, for example, is not different from examining #evolution connections, or life itself. There is no reverse at some points, and even where there is time reversal #symmetry, the paths are not always direct, 1:1 increments. (see 'islands of stability', for example)

We have a bad tendency of always ending up framing it in black or white terms, like " #nature vs nurture", when the actual situations nearly always require both.

One of the unfortunate elements of the #scientific method centered on reduction is that the first impression (indeed very strong) comes in the results section, from the questions asked at the start. Those have been stripped of all #context variation & complexity, and that is where it leaves off in most cases. For the vast majority of humans, the deeper layers are never seen or explored; the simplified meme is what propagates most prolifically.

Our mission, should we choose to accept it, is to layer the #complexity back in, one layer at a time, and continue our pursuit of higher #knowledge. This will require some modifications to our current system!

Continued thread

Some notes on the haiku above...

I have seen it various places observed that exponential growth is such that if you have population that doubles every 20 years, then 20 years before you reach any point of "too much", the world will be only half full. We struggle with that because it's taken all of human history fill half the world, so we may feel we have plenty of room. But exponential growth sneaks up, and if it's doubling every 20 years, half full is almost full.

The same, then, with exponential rise in any quantity, such as temperature. We may look back at previous rises in temperature and think "no big deal", but that intuition, that desire to use experiential knowledge, is not going to serve us well. We invented, or learned to describe, mathematics so that we could reason better than our primitive intuitions lead us to do. Our brains like to presume linearity, but the effects we see are not linear. What we know from math tells is that we must take nonlinear effects seriously, lest we get surprised in a possibly swift, surprising and fatal way.

We're in denial that this is happening, but the science says something truly horrible is about to happen. We're not doing well with conventional planning. We look around and, in spite of dire warnings, things look normal. But maybe notmal is what things look like just before it all collapses.

We perhaps need to fast forward to what's going to happen and say, "what will it have looked like just before?" If the answer is "just like any other day", then we need to find something else to look to in order to know we're about to fail. Something we cannot so easily deny.

From time to time, we see mass death events in other species. Rivers or lakes full of dead fish, cooked, metaphorically, though almost also literally, by the heat. One day that will be us.

I heard a news story recently about a large number of heat deaths in India. The problem is already horrible. Every life matters. And yet that number is dwarfed by what's coming. Millions, even billions. A few hundred will seem quaint.

But also like we should have heeded the warnings better. Or allowed ourselves to see them at all.

Rather than shrug off warnings, figure out what warning you're not going to ignore. Draw a line in the sand. Say it out loud, to friends, family, the world. Ask them to hold you to account, to make you finally care. Ask them what THEIR line is.

What is your line?

When do we stop and make this our global focus? If not now, when?

LINEAR TRANSPORT EQUATION
The linear transport equation (LTE) models the variation of the concentration of a substance flowing at constant speed and direction. It's one of the simplest partial differential equations (PDEs) and one of the few that admits an analytic solution.

Given \(\mathbf{c}\in\mathbb{R}^n\) and \(g:\mathbb{R}^n\to\mathbb{R}\), the following Cauchy problem models a substance flowing at constant speed in the direction \(\mathbf{c}\).
\[\begin{cases}
u_t+\mathbf{c}\cdot\nabla u=0,\ \mathbf{x}\in\mathbb{R}^n,\ t\in\mathbb{R}\\
u(\mathbf{x},0)=g(\mathbf{x}),\ \mathbf{x}\in\mathbb{R}^n
\end{cases}\]
If \(g\) is continuously differentiable, then \(\exists u:\mathbb{R}^n\times\mathbb{R}\to\mathbb{R}\) solution of the Cauchy problem, and it is given by
\[u(\mathbf{x},t)=g(\mathbf{x}-\mathbf{c}t)\]