Ben Matthews

As a kid, I learned to write i = i +1, before school maths taught me it can’t. The point is, computers do iteration well, especially to model dynamics of real non-linear systems, while classical maths is good at finding algebraic solutions to equilibria - typically more theoretical than real. Calculus is great for understanding repeatable dynamics - such as waves in physics, also integrating over some distributions. But even without knowing that well you could still approximate stuff numerically with simple loops, test it, and if an inner-loop turns out to be time-critical or accuracy-critical (most are not), ask a mathematical colleague to rethink it - believe in iteration rather than perfect solutions.

I’m aware of the racism issue, I even observed it myself in China, even many years ago.
But i’ve also seen similar problems in other corners of the world. Such cultural concepts can change slowly, as they did over here.
Anyway, I doubt this would dissuade people trying to connect what will become the world’s main supply of surplus young labour, with the world’s greatest demand for care-services, combined with spare apartments, money, and a milder climate. Not saying it’s good or bad, just trying to anticipate future changes.

That seems like a big change in one year. It may to some extent reflect delay, as on average chinese used to pair-up at a younger age than typical in europe, also maybe some feel old traditions aren’t necessary to keep a stable family with children. But the article says, the core factors are economic. Even so, as they have built so many surplus apartments, the [real] prices must drop, I wonder how many years before they are trying to sell the chinese dream to migrants from Africa or elsewhere.

Hmm. I’m still using a 2014 iMac, as its 27" 5k screen still very good for coding (with added memory). Sometimes develops a bunch of thin vertical lines, which come and go maybe dependent on temperature, but hasn’t changed for for ten years and i can live with those. Just wish they’d continue providing security updates for it.

Indeed to use scala-native you’d need pure-scala libraries, but the core lib re-implements most java lib, and there are now small simple external libs available for common tasks like file management, database, etc. - for example check out the lihaoyi suite.
I mainly use scala-js (to make this) which was formerly a java app - as it compiles to both js and jvm (cross-project) can gradually convert stuff you already wrote. I’ve tried native for stuff like pre-processing data files.

Scala compiles either to native, js or jvm - obviously the IO / interface options vary between these envs, but the lang is the same. Recently Scala 3.5 incorporates a simple-to-use CLI which makes it easier to compile to native (or just run a small file as a script, or experiment with a repl), native binaries are small and fast, and there are some simple io libraries. Since you can also compile to jvm to interop with java, that might help with transition.

I now use Scala 3, and very happy with syntactic whitespace (combined with an intelligent compiler)

Trying to imagine what’s the application of mats of electric seaweed - if the energy could somehow make them self propelling, and self replicating, could get interesting, big potential surface area …?

Scala-js is working on it - as its compiler design may facilitate this.
I haven’t yet tried (on todo list) and am not an expert, but bookmarked in passing:
recent github implementation, some history, following older discussion

Although not an expert on that specific country, I can be sure that ’ almost all ’ is very misleading, even if it gets a lot upvotes because people find it convenient to blame some big bad other. Even if you have specific data for electricity, don’t forget a lot of CO2 is emitted by cars, and also by fuel to heat homes (including some peat in special case of ireland - and in that country a large fraction of GHG emissions is also methane from agriculture).

Wonder whether the popularity of the president will follow a similar pattern as in France, trying similar idea … ?

I use vscode as I develop this model in Scala3, whose language-server ‘metals’ integrates well with vscode, and when scala3 was new in mid-21 this was the platform they first targeted. But the scala command-line tools do the clever analysis, vscode provides the layout, colours, git integration, search/regex, web-preview etc… Now considering other options (eg zed) as vscode too dependent on potentially unsafe extensions (of which too much choice), also don’t want M$ scraping my code. Long ago when same model was in java I used netbeans, then eclipse. Would prefer a pure-scala toolset.

Note that Knesset has 120 seats (not obvious from the article). (also, of course, a large fraction of people between the river and the sea don’t get to vote for any of its seats)

As a small kid I learned i = i +1, before any maths teacher told me it couldn’t.

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.

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.

Hmm, publishing that will really help those Crimean beach hotels get customers for this summer…

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).