For sure but those high volume use cases are extremely rare.
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For sure but those high volume use cases are extremely rare.
Obviously a shovel is quite an improvement for home gardeners but big constructions need a completely different tool.
For +99% of TS projects going from eg 10ms to 1ms is not going to make any difference even though it's a 10x improvement. In part because most monitors refresh at 60hz (16ms per frame) but even with +120hz monitors this is not going to have an impact on any workflow. Even for CI network latency is going to be a much bigger factor than improving TS compilation beyond the performance that TSGO already provides.
It's not. Even the JS compiler is still fast enough for many projects given the single core improvements in hardware (eg Apple Silicon).
Sure the Rust version is faster but the difference is probably only noticeable in the top 1% largest projects.
Instead we got a ton of useless stuff.
Thank god. Zod reached like 350M weekly downloads recently.
Population is growing plus electrification of transport plus more energy for compute plus we want to phase out fossil fuels.
Uh no. The lack of users killed Deno.
Ultimately I ended up moving away to Solid primarily because I can write vanilla TS/TSX. Like it or not, TS/TSX is a standard these days and most editors or IDEs support it out of the box.
I would argue that even if Bevy was ready for production it would not really compete with Godot.
Godot's performance is plenty for the vast majority of small to medium games. Plus they're starting to work on features like texture streaming for bigger games. It also has an editor which is a big plus for most teams.
Bevy would be objectively better for expensive CPU simulation stuff but realistically what percentage of games need that? Maybe 1%?
For Bevy to catch up on the indie game scene it needs an editor plus a scripting language and/or something like Unreal Blueprints. If it only wants to target the hardcore Rust dev that does everything by code it will never go mainstream.
Well I never said that.
https://www.reuters.com/world/us/us-appeals-court-rejects-co...
As for your second point I doubt it will ever be economically feasible. AI companies cannot generate profits even while stealing their training data.