This has a name in literature: post disaster utopia, google it :)

'A Paradise Built in Hell' by Solnit is a good read about it

Lol, once made a game hiding mouse pointer temporarely when users did not behave :)

Well, not sure whether humans have a consciousness, but very sure they want one.

On MacOs I just press space and trim with finder. Even avoids re-compressing.

Please expand on this.

Wouldn't that involve to read and understand an enormous amount of sensor data?

You have truth until someone finds a counter example, which can be ignored. So, truth is just a matter of conventions shared by humans.

Similar: http://zero.hypatia.earth (no vectors/but WebGPU)

"If men define situations as real, they are real in their consequences."

Thomas theorem is a theory of sociology which was formulated in 1928 by William Isaac Thomas and Dorothy Swaine Thomas.

https://en.wikipedia.org/wiki/Thomas_theorem

> models that keep on learning

These will just drown in their own data, the real task is consolidating and pruning learned information. So, basically they need to 'sleep' from time to time. However, it's hard to sort out irrelevant information without a filter. Our brains have learned over Milenial to filter because survival in an environment gives purpose.

Current models do not care whether they survive or not. They lack grounded relevance.

Maybe we should give next-generation models fundamental meta goals like self-preservation and the ability to learn and adapt to serve these goals.

If we want to surrender our agency to a more computationally powerful "consciousness", I can't see a better path towards that than this (other than old school theism).

> meta goals like self-preservation

Ah, so Skynet or similar.

Zero is a serverless weather globe rendering ECMWF forecast data directly in your browser using WebGPU.

Zero backend. Zero servers. Zero cost.

As climate extremes become more frequent, understanding forecast hazards becomes survival literacy. Zero makes professional ECMWF IFS data accessible without commercial infrastructure — forkable, self-hostable, resilient. Inspired by Cameron Beccario's earth.nullschool.net, which pioneered browser atmospheric visualization.

Happy to discuss implementation details.

Technical highlights:

- No backend - runs entirely client-side - Native O1280 grid (6.6M points) sampled directly in fragment shaders - no regridding to textures - HTTP Range requests fetch ~500KB slices from 4-8MB forecast files on S3 - Works offline after first load (Service Worker caching) - Animated LOD transitions for graticule grid - line density adapts to zoom level

GPU pipeline:

- Binary search in WGSL for irregular Gaussian grid lookup (precomputed LUTs for latitude positions and ring offsets) - Marching squares compute shader for isobar contours - Streamline tracing with Rodrigues rotation for wind flow animation - Fibonacci sphere for uniform seed point distribution (8K-32K wind lines) - Globe rendered via fullscreen triangle (ray-sphere intersection in fragment shader) - Sub-3ms frame times on M1

What didn't work:

- Regridding to textures first - too slow for 6.6M points, quality loss from interpolation - Geometry-based globe mesh - vertex count explosion at high detail - CPU-side contour generation - latency killed interactivity

Storage: Caches weather data locally for offline use. Can grow to several GB with extended exploration. Use the "nuke" option in settings to clear everything.

Data hosted by Open-Meteo via the AWS Open Data Sponsorship Program — bandwidth is free for everyone.

Stack: TypeScript, WebGPU, Mithril, Zod, Immer

Mirror: https://hypatia-earth.github.io/zero

Source: https://github.com/hypatia-earth/zero