One could make the case that being SotA in 2026 is very costly and not that important for being SotA in 2030 if much more efficient models indeed happens.
That's an interesting take, however there is no ongoing maintenance related to local models, maybe the only effort is giving more capable machines to the workforce; but yeah I can see how it might feel like a barrier.
In my experience performance is about the same as native on mobile. On desktop I cannot compare as I thankfully never had to make cross platform desktop apps using native platform SDKs, but Flutter is doing fine. I am a working on a non trivial desktop app, and I am pretty happy about it.
Hopefully the desktop story is going improve as Canonical is now leading the Flutter desktop side.
To me the issue is that ad vendors in the app knows what you read, the NYT have over 300 vendors listed in their privacy section, the Economist about 80. But if you refuse in the NYT they nag you over and over again for accepting cookies.
It’s crazy not to have privacy reading a magazine.
I had the experts write markdown files that contained the rules looked somewhat like:
## 1A Rule name
Some prose explaining the rules liking to official documentation.
``` if municipality and inhabitants > 10000 then functionA else functionB ```
Then a trivial parser would extract the rules, the DSL was then handled by Lark[1]. So pretty simple, but it made collaborating with experts easier as simulated results would also output some markdown they could read.
Having worked with domain experts I concur on the difficult time they have expressing the rules of their domains.
Once I built a little domain-specific language for them, that was tested against old jobs to see if they contradicted the past; it was a nifty project and since then I am convinced that DSLs are underrated as a way to encode expertise.
I am wondering how much the "perfect alternative then it will prevail" still holds given the amount of money spent on marketing by infrastructure companies, for example Vercel that have an interest in promoting Next.
Plugins are often to blame, I had some recurring issues with the full IntelliJ when opening multiple instances at the same time. I switched to Webstorm without any plugins for light editing without all plugins loaded, I have around 5 instances opened at all times without any issues on an old M1 Max
It would be great, however the title is misleading: the only announcement regarding linux desktop is that the DINUM - a relatively small but perhaps influential government agency pledges to leave Windows.
I believe the largest Linux Desktop initiative in France is GendBuntu[1] for the National Gendarmerie
Thanks for the tip. I was dubious, I tried GPT 5.2 for a start on a large plan and it was way better than reviewing it with Claude itself or Gemini. I then used it to help me with feature I was reviewing, it caught real discrepancies between the plan and the actual integration!