vrtnis

Incredible work! Do you have any plans to add sound effects synced to in-game events, or maybe even TTS-generated commentary? That could make the experience feel even more dynamic and immersive.

Awesome, great execution! This could become a really cool RL environment with a headless sim and procedural voyages. Factorio has something similar with the Factorio Learning Environment SDK.

OpenTTD-inspired agents build routes, move cargo, manage debt, and optimize delayed returns in a transport economy.

Statically - basically just parsing the code into an AST and then walking through the tree to collect information about variable usage and definitions.

Very cool! looking forward to trying it out - the graphs reminded me of a toy project I'd done a while back to better understand deterministic and reproducible execution in python as seen in marimo.io notebooks https://github.com/vrtnis/python-notebook-simulator

yep, also i think while they could have issues with dataset sizes less than 2^k, it's interesting to note their use in accelerating clustering algos like dbscan. they do make neat visualizations though https://marimo.app/?slug=x5fa0x

while it's true that wasm was originally designed to run primarily on the cpu(e.g., executed in a sandboxed environment on the main thread, which is generally managed by the cpu), the assumption that wasm only runs on the cpu might be becoming a bit dated. esp. as a result of webgpu and frameworks mentioned above, wasm is increasingly capable of executing on the gpu imho.

very cool! if you're exploring wasm for graphics, take a look at Wander- lets you create and execute "renderlets" — portable modules containing graphics data and code compiled to wasm https://github.com/renderlet/wander

This is brilliant - great way to quickly put together and share interactive plots - thanks for this wasm release!

Very cool..exciting to see you tackling the modular architecture challenge head-on, and also wrt to dynamically imported modules..would also be interesting to see some sort of IDE integration for real-time feedback directly in the development workflow. Would be nice to have a discord community around this!

cool, i believe this is a scenario where targeted educational/univ. chats could help further enterprise trials (or early constructive feedback). would be great to chat more on discord/email!

Congrats on the launch! Couple of quick questions: Are there any initiatives or resources planned for educational institutions to adopt atopile? Outside of GitHub, are there specific areas or tasks where you’re seeking community or volunteer contributions? Thanks!

Reminds me of the more ML specific https://paperswithcode.com/

Actually, a few other cars had similar voice alert systems e.g., Mitsubishi and Oldsmobile.On the Oldsmobile the speech synthesis (Digitalker) was engineered by National Semiconductor. This page has more on it https://www.hagerty.com/media/car-profiles/talking-car-from-...

A real silver plated metal stamp! https://shop.royalmail.com/special-stamp-issues/warhammer/wa...... btw the first 'metal' royal mail stamp was probably their Iron Maiden series https://www.bbc.com/news/uk-64173882

Erdős problems definitely "have an uncanny knack for unearthing connections between supposedly unrelated branches of math..". Here's the full list of about a dozen unsolved conjectures https://en.wikipedia.org/wiki/List_of_conjectures_by_Paul_Er...

Seems like these Georgetown statues were sourced from Taiwan, but there is also this Wired story where someone was building (much larger ones apparently in Thailand) https://www.wired.com/2011/06/thai-sculptor-autobots/

I highly recommend looking at the ceefax games archive on https://www.bbcmicro.co.uk/?search=Ceefax&on_P=on. Check out 'Harbor Command' for another(less sophisticated) first person game

NASA has a good approx of the route taken that day, the final push to the summit took 5hrs. Wonder with the lines up there today if it might take much longer. https://earthobservatory.nasa.gov/images/8396/edmund-hillary...

On that front, there is also one called the vaonis hyperia that seems totally automatic, but perhaps we miss out on the challenge of amateur astronomy..

The d'ecquevilly has to be the strangest oval design, more here if interested https://www.ctie.monash.edu.au/hargrave/d'ecquevilly.html

Table 19 from the paper seems to show pixel extraction accuracy is highest for AMD Radeon (94%) but lower for M1/M2 (~60%). Can't seem to find an explanation for this variation though. Thoughts?