Ben Matthews

I like some concepts and design of Mbin, something to learn from, but I’d believe more in its growth potential if not written mainly in php.

Interesting observation and analysis, and illustrates the potential of more lemmy-mastodon interaction.
Indeed mdon like-federation seems weird but I presume it was setup this way for efficiency, to reduce the number of small communications? Although Lemmy has a backend in rust - more efficient than mdon’s ruby - still I wonder whether the lemmy system of federating all upvotes would scale well if the number of users grows to that of mastodon and beyond ? Could there be some intermediate compromise solution (e.g. federate batches of 100 likes)?

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.

I didn’t discover Lemmy through search, nor did I ever use reddit - I found it from mastodon where a few people promote lemmy posts. Then gradually realised I preferred the community-focus here, compared to the individual-focus of mdon (although combining both could be good). As mdon has many more users, improving this inter-op would help to bring people here.

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)

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

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.

I see that says ‘has to be local only, not federated’ (same issue also discussed on github).
‘Local only’ suggests to me front-end, i.e. info stored by browser. In that case people who are often switching devices would have to re-organise on each one, which could be tedious.
So isn’t there something in between local and federated - i.e. saved by the instance as user-settings, but not pushed to other instances?
Maybe there could be some manual copying mechanism, so a user who organises a big set of communities could share with others. (This reminds me of mastodon ‘lists’ and various ways of organising and transferring them).

Nearly 200 upthumbs, more ?!
But the discussion explores broader and narrow variants, need to coalesce.

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 …

I’m using Alexandrite, find it good

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.

Well, for example if I could reply to a mastodon post from my lemmy account - the poster would see that there (not here - but could show up on my profile page), and might follow it, so it could gain followers. To write such a reply, I’d need to somehow view the original post while logged into lemmy. My comments here do federate to mastodon, and if somebody searched for related words (at least from the instance from which I followed my #lemmy account) they should find this. Your “virtual community” seems like a mastodon list (I have a dozen such topic lists, that system could be better, but is improving), indeed it would be helpful to consider that alongside a lemmy community for similar topic.

the Lemmy devs tell you to use Kbin or Mastodon or anything else

So to reply to Nutomic’s closing remark on github:

I dont see why Lemmy should also implement that.

Because - if I could post to Mdon or reply to a Mdon post from my Lemmy account, some Mdon users (more numerous) might think - hey that’s interesting, I’ll follow that guy, then see my other posts to Lemmy, click and open up the whole thread (yes that works), and so eventually come to contribute to Lemmy too.

I don’t find that - using Mastodon (4.2) I can see threaded discussion in Lemmy - each comment as a post - but have to start somewhere.

I succeed to follow my own Lemmy account from my Mastodon account, it works (initially seems empty, but new posts/replies show up later). From there I could potentially boost or reply. If somebody clicks on my comment in Mastodon, they’ll find the whole Lemmy thread. This should help (more numerous) Mastodon users to discover Lemmy.

I discovered Lemmy via links from Mastodon, and so found i prefer these threaded communities. Nevertheless individual “status” posts have a purpose too, we need both topic-focused and people-focused structures, these should overlap and connect better.
As my Mastodon account follows my Lemmy account, my posts/replies get into that system, more might be discovered if I included hashtags here. However I can’t do the reverse - follow a Mastodon account, or reply to or boost a post, from Lemmy. Communities might grow more if we could enable such interaction.

So, can Mastodon 4.2 full-text search now see Lemmy posts and replies, even without hashtags? You can follow Lemmy communities and accounts from a Mdon account, that way the info is in the Mdon instance databases, but as the new search is “opt-in” only, do Lemmy communities or users have to set some flag to agree that our posts and replies are searchable ? This might help discoverability of Lemmy.

I’m here only a week or so, subscribed to about 100 communities that look interesting, but most have enough good posts yet very little discussion. Yet the top ‘world news’ and foss/fedi/prog topics get all the attention, it’s not balanced. I hope the new ‘scaled/best’ ranking algorithm will help, if I understand correctly this is ready but not yet released? People should make more effort to find, upvote, comment on smaller communities (note- to find communities I recommend search-lemmy.com - you find more than from own instance).

Regarding Mastodon - as there are many more users there, it could be a gateway to Lemmy (that’s how I got here). Now Mastodon 4.2 has better search, if you follow a lemmy community or account from mastodon, it may show up in such search. However Mastodon new search is opt-in for non-hashtag text, so I suppose Lemmy has to specify whether our posts / replies are searchable - anybody know how this works ?