Aether — family index

These four Spaces all explored an “aetheric computer”: the idea that a machine could be built out of a higher-dimensional, self-describing substrate rather than ordinary state. Four separate Spaces were made; none of them runs on this account, and each one still asks for a cpu-basic allocation against an account limit of 3 concurrent Spaces.

Honesty note. This page does not claim the originals ran. Three of them call an external model over the network and need a key; the fourth needs TensorFlow. What is real is the idea, and that is now implemented and running at hdc-suite — linked below.

What was in each Space

SpaceSDKSizeWhat the source actually does Why it cannot run on a free CPU Space
AETHEROS-X gradio ≈1,295 lines The substantial one. A “pseudoassembly” experiment: it invents token vocabularies (ManifestAstralPlane, x86 BIOS tokens, boot-sequence tokens), maps them to indices, and builds Keras Sequential(Embedding → LSTM → Dense) models over them, wrapped in a BIOS/bootloader/kernel/gate-logic shell. Large parts are defined but never reached (functions nested inside functions, model loads commented out, if input == … comparing against the builtin). Imports tensorflow/keras plus sklearn, pandas and matplotlib at module level. A free cpu-basic image cannot install and start that stack reliably.
AETHEREAL_COMPUTER_SYSTEM gradio 72 lines An “agent hive” demo: a business-development “agent”, then frontend and backend “agents”, chained one after another. The wording of the app is upfront that the later steps are simulated. from transformers import pipeline at import time, loading sentiment-analysis and distilgpt2 — model weights are fetched during startup, which a free Space cannot do dependably.
AetherSYS gradio 47 lines A Second Life DJ “reactionist” chat: filters the reply down to plain text and sends a fixed persona prompt. Posts to chat.tune.app with Authorization: os.environ.get('api') — an external API and a secret the Space does not hold, so it fails at the first request.
AethericGPT gradio 25 lines The smallest: forwards the prompt to a hard-coded remote host (http://xzyorb.servemp3.com:80) and returns the text. A requests call to an external server that is not this Space's — plus gr.capture_session / gr.inputs.*, Gradio APIs that no longer exist.

All four are dormant, and none of them is a candidate for a slot: two need an external model and a key, one needs a model download at startup, and one needs TensorFlow. Slots on this account are reserved for work that genuinely computes.

The working version: hdc-suite

hdc-suite is this family's idea implemented for real, in 1,024 dimensions and pure Python (no torch, no transformers), running on one cpu-basic slot. It has four tabs:

Why this page

A static Space is free for everyone, needs no build and has no cold start, and it does not claim one of the three cpu-basic slots. Folding the family into this one page removes 4 cpu-basic claims at zero cost, with each original URL still resolving. Every original's source is preserved in the repository that serves this page, under templates/legacy/<name>/, so nothing was lost — only the quota request was.