From the tasks described, it seems to me they were not measuring ‘Computer Skills’ as reasoning, patience, tenacity - people could have similar issues with similar tasks involving a pile of papers.
From the tasks described, it seems to me they were not measuring ‘Computer Skills’ as reasoning, patience, tenacity - people could have similar issues with similar tasks involving a pile of papers.
Moi je ne suis pas français mais habitant d’un pays voisin, et pendant multiples années je n’avais pas voyagé loin en France en train avec ma famille, pour exactement ce raison, bien que nous voyageons souvent en train vers la reste de l’europe.
Néanmoins ce mai nous avons trouvé des billets de la frontière Belge jusqu’à la frontière Espagnol pour 29€ par personne !
J’était aussi surpris par les offres des trains régionales d’Occitanie.
Donc, c’est possible hors des périodes fort occupés (dans ce cas grace au déplacement des congés scolaires belges). J’ai l’impression que c’est la capacité du stock roulant qui manque. Aussi la centralisation du réseau tgv le fait pratique (et parfois bon marché) pour les Parisiens, mais pas pour tous les autres (nous n’avons pas pris tgv…).
“…at a rate of roughly 0.05 percent per day … would take a very long time” … but by my quick calculation 0.9995^3650 is 84% per decade, which is not long. Almost instantaneous on a geological timescale - and think how much the world changed when fungi learned how to digest lignin in wood - ending the era of coal-forming swamps.
Hi, excuse me for replying so late, but i’ve been away from lemmy for.a while.
Well, to summarise, the model calculates the future trajectories, of population, economy, emissions, atmospheric gases, and climate response etc., according to a set of (hundreds of) diverse options and uncertainties which you can adjust - the key feature is that the change shows rapidly enough to let you follow cause -> effect, to understand how the system responds in a quasi-mechanical way.
Indeed you are right, complexity is beautiful, but hard. A challenge with such tools is to adjust gradually from simple to complex. Although SWIM has four complexity levels, they are no longer systematically implemented - also what seems simple or complex varies depending where each person is coming from, so i think to adapt the complexity filter into a topic-focus filter. Much todo …
As it happens I’ve been calculating per capita emissions for 28 years, since COP2.
You can see my model here.
No I certainly don’t include Russia nor Turkey, although europe is more than EU. Korea is indeed notable.
Regarding what they call ‘consumption emissions’, you can get such data from Global Carbon Project, on that I’m less an expert but my hunch is that industry emissions are dominated by heavy products like steel and cement for construction (made with help of gigatons of coal), rather than light consumer goods for export. Over-construction is the root of the problem, global emissions will peak (maybe now) as that bubble bursts.
lopq’s original comment is correct for ‘whole west’ too. the second part is also true per capita. By the way europe also has a lot more people than united states, it’s not irrelevant.
You are right, it’s simple numbers, scientific fact, pity so much downvotes, people should check recent data rather than get stuck with old concepts from 1990s (when climate politics began).
Yes they invested enormously in high-speed train lines. But look on satellite image around those train stations, new city blocks have massive roads everywhere, 5 lanes in each direction, plus in parallel another set of toll roads. Even if those roads were empty , the cement and steel for all that has contributed enormous quantity of CO2 to the atmosphere.
Chinese emissions per capita are higher than european average for many years now, however they always pick the worst country in the world for comparison statistics.
Emissions per capita of China have been higher than the european average for about a decade now.
I can relate to this, having developed a coupled socio-emissions-carbon-climate model, which evolved for 20 years in java, until recently converted to scala3. You can have a look here. The problem is that “coupling” in such models of complex systems is a ‘good’ thing, as there are feedbacks - for example atmospheric co2 drives climate warming but the latter also changes the carbon cycle, demography drives economic growth but the latter influences fertility and migration, etc… (some feedbacks are solved by extrapolating from the previous timestep - the delay is anyway realistic). There are also policy feedbacks - between top-down climate-stabilisation goals, and bottom up trends and national policies, the choice affects the logical calculation order. All this has to work fast within the browser (now scala.js - originally java applet), responding interactively to parameter adjustments, only recalculating curves which changed - getting all these interactions right is hard.
If restarting in scala3 I’d structure it differently, but having a lot of legacy science code known to work, it’s hard to pull it apart. Wish I’d known such principles at the beginning, but as it grew gradually, one doesn’t anticipate such complexity.
Vivaldi recently posted this -vivaldi-wont-allow-a-machine-to-lie-to-you.
See also vivaldi community
This is an unprecedented situation - if a guy who’s in prison (speaking via AI) and whose party is not allowed on electoral lists can nevertheless win an election , think which other countries might also be inspired by this … ! (note - although I’m not so keen on Khan (populist), am even less keen on military rule). I suppose now it depends which way PPP and MQM will turn ?
The problem is that whatever careful process EU implements to restrict spread of fake news etc., authoritarian states will copy its facade and terminology, to justify their own censorship of real news ( in Russia people go to prison for calling a war a war).
My boys have chromebooks, it’s almost mandatory for school now, and I get why teachers need the whole class to have a similar locally-networked tool. Problem is we as parents can’t set anything, as we don’t have ‘developer’ access, and the school controls their accounts. So at home, they do stupid stuff. The hardware is ok, I wish it was just linux. About what google gets - I doubt the current data is so valuable, they play a long game hoping to lock young people into their ecosystem, to profit from people with cash/energy in their 20s.
I began programming java climate model with UK keyboard. When I moved to the continent, switched to swiss then belgian keyboard to better type emails/docs in french, but it was so tedious for code brackets {[()]} and some other punctuation, eventually switched back. Recently converted whole codebase to Scala 3 (here’s the model), now can drop most of those brackets. I speculate whether one motivation for creating scala3 (made in in Lausanne) was swiss/french keyboards.
I like Scala:
Fwiw, here’s my interactive climate system model running in pure scala.
Too true.
I still remember when java5 came out, many new features, great potential for a massive refactoring of my interactive climate model. Within that, I had an idea called “parallel worlds” for comparing scenarios, whereby for efficiency data was shared for parts of the system, and split across parts that varied as user adjusted parameters. So I pulled apart the whole codebase, and joined it back together again… - about two years later, by which time colleagues had given up interest.
[ story simplified to relate to point of OP - not only task in two years! ].
Now I develop a derivative climate system model in scala,
but evidently it’s more interesting to develop some new complex part of the science code, than fix a graphical interface for beginners. But moods vary - some days lacking energy for refactoring, could be satisfied ticking off a few small tasks in a todo list. Yet after some time, brain craving for another big new complex idea…
In defence of the jack-of-all-trades, if everybody is a cog in the machine, nobody sees the overview of how the cogs could connect.
For what it’s worth, here’s an overview of some cogs made by a j-o-a-t, for whom software developer is just a sub-role, within understanding complex climate system.
Hi, thanks for the encouragement, delayed response due focusing on the code, and a related conference, and now trying to keep up with the COP. As it happens, the “ratchet” system of pledges created in Paris (COP21) is an iterative algorithm - start with wild guesses and gradually improve them by feedback - this made sense given the weaknesses of diplomacy, but it’s hard to summarise this mess with neat code in a compact model.
La droite a utilisé des accusations similaires pour démoniser Jeremy Corbyn en angleterre pour l’élection de 2019. Bien que je ne suis aucun fan de lui - qui a fait des nombreux erreurs sur d’autres sujets, quand même il connaissait bien la situation en Palestine. Ce n’est pa la vérité ou l’équilibre qui compte pour la droite - si une recette fonctionne pour gagner, ils la répètent.