Org card: what PYTHAI is first; the full map one level down

The org card now says what PYTHAI is in one paragraph and offers four doors: mindX, bankML, Savante, and the index of everything on Hugging Face (deltaverse.pythai.net/hfindex). The lineage, model forks, minaiml, documents and organizations are one click down, on this Space's page (index.html), which keeps all of it and links the index. No link was dropped.

Professor Codephreak · https://github.com/Professor-Codephreak

README.md

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-<p><b><a href="https://pythai.net" target="_blank" rel="noopener">PYTHAI</a></b> (say it <i>Pyth-A-I</i>) is <b>python augmented intelligence</b>: the intersection of blockchain and AI, built in the open. PYTHAI suggests that intelligence is, or intelligence is not. In our work, AI means <i>augmented</i> intelligence, and machine learning is the extraction of knowledge from information.</p>
-
-<p>Our flagship is <b><a href="https://huggingface.co/spaces/PYTHAI/mindX" target="_blank" rel="noopener">mindX</a></b>, a self-building cognitive architecture. Its Belief–Desire–Intention agents audit themselves against eight Gödel-machine predicates, dream over their own memory, and train their own weights from those dreams on a two-core CPU with no GPU. mindX publishes every result, including the ones that don't flatter it.</p>
+<p><b><a href="https://pythai.net" target="_blank" rel="noopener">PYTHAI</a></b> (say it <i>Pyth-A-I</i>) is <b>python augmented intelligence</b>: AI and blockchain, built in the open. Here AI means <i>augmented</i> intelligence. We build agents and models that show their work: every model is pinned by its hash, every answer is counted by the engine that produced it, and every result is published, including the ones that don't flatter us.</p>
 
 <table>
-<tr><th align="left">start here</th><th align="left">what it is</th></tr>
-<tr><td><a href="https://huggingface.co/spaces/PYTHAI/mindX" target="_blank" rel="noopener"><code>spaces/PYTHAI/mindX</code></a></td><td>mindX, live: vital signs, the Gödel audit and the full training lineage, read from the running node</td></tr>
-<tr><td><a href="https://huggingface.co/PYTHAI/mindXtrain39" target="_blank" rel="noopener"><code>PYTHAI/mindXtrain39</code></a></td><td>generation 39, the newest weights mindX's proof-of-recall gate accepted. 135M parameters, runs on a laptop CPU</td></tr>
-<tr><td><a href="https://huggingface.co/PYTHAI/mindXtrain" target="_blank" rel="noopener"><code>PYTHAI/mindXtrain</code></a></td><td>the training framework mindX learns with. Its home is here now</td></tr>
-<tr><td><a href="https://huggingface.co/datasets/PYTHAI/mindXascension" target="_blank" rel="noopener"><code>datasets/PYTHAI/mindXascension</code></a></td><td>the lineage in the open: weights for generations 1–41 and the curated dream corpus</td></tr>
-<tr><td><a href="https://huggingface.co/spaces/PYTHAI/minaiml" target="_blank" rel="noopener"><code>spaces/PYTHAI/minaiml</code></a></td><td>minaiml, the delivery layer: what runs a 397B model on a laptop and a 35B model on a phone, and why a mostly-idle model is the reason</td></tr>
-<tr><td><a href="https://huggingface.co/datasets/PYTHAI/mindX-docs" target="_blank" rel="noopener"><code>datasets/PYTHAI/mindX-docs</code></a></td><td>the thesis, manifesto and navigation, plus a map of every document. <a href="https://pythai-mindx.static.hf.space/docs.html" target="_blank" rel="noopener">Read and listen</a> · <a href="https://mindx.pythai.net/doc/THESIS" target="_blank" rel="noopener">on mindx.pythai.net</a></td></tr>
+<tr><th align="left">start here</th><th align="left"></th></tr>
+<tr><td><a href="https://huggingface.co/spaces/PYTHAI/mindX" target="_blank" rel="noopener"><b>mindX</b></a></td><td>our flagship: a self-building cognitive architecture that audits itself, dreams over its memory and trains its own weights on a CPU</td></tr>
+<tr><td><a href="https://huggingface.co/spaces/PYTHAI/bankml" target="_blank" rel="noopener"><b>bankML</b></a></td><td>verified AI: 1-bit and ternary models on a CPU, in Rust, with a receipt on every answer. It also runs in your browser</td></tr>
+<tr><td><a href="https://huggingface.co/spaces/PYTHAI/savante" target="_blank" rel="noopener"><b>Savante</b></a></td><td>sAGI's review office: a claim is known when it survives verification, and unknown otherwise</td></tr>
+<tr><td><a href="https://deltaverse.pythai.net/hfindex" target="_blank" rel="noopener"><b>everything else</b></a></td><td>every Space, dataset and model, what each costs to use, and how to call the free ones</td></tr>
 </table>
 
-<p><b>Licence-pinned forks.</b> Open-weight models whose licences are good today, forked at a pinned commit with their licence, config and tokenizer, plus a <code>FORK.json</code> recording the source. The weights stay at the source. Licences change between releases of the same family, which is why we pin the commit. Forks: <a href="https://huggingface.co/PYTHAI/Qwen3.8-27B-fork" target="_blank" rel="noopener">Qwen3.8-27B</a> · <a href="https://huggingface.co/PYTHAI/granite-4.2-8b-fork" target="_blank" rel="noopener">Granite 4.2</a> · <a href="https://huggingface.co/PYTHAI/GLM-5.3-Flash-fork" target="_blank" rel="noopener">GLM-5.3-Flash</a> · <a href="https://huggingface.co/PYTHAI/Kimi-K3-fork" target="_blank" rel="noopener">Kimi K3</a> · <a href="https://huggingface.co/models?author=PYTHAI" target="_blank" rel="noopener">all models</a>.</p>
-
-<p><b>Running them.</b> A mixture-of-experts model is mostly idle: a router wakes a handful of experts per token and leaves the rest on disk. <a href="https://huggingface.co/spaces/PYTHAI/minaiml" target="_blank" rel="noopener">minaiml</a> (say it <i>minimal</i>, and read it <a href="https://github.com/minaiml" target="_blank" rel="noopener">on GitHub</a>) is where we keep the delivery software that exploits this — engines that stream a 397B model off SSD on a 48&nbsp;GB laptop and run a 35B model on a phone, plus the runtimes, browser targets and on-device speech that go with them. The model forks above are what it runs.</p>
-
-<p><b>mindX lives at <a href="https://mindx.pythai.net" target="_blank" rel="noopener">mindx.pythai.net</a></b>: <a href="https://mindx.pythai.net/mindx.html" target="_blank" rel="noopener">watch it think</a> · <a href="https://mindx.pythai.net/feedback.html" target="_blank" rel="noopener">the mind of mindX</a> · <a href="https://mindx.pythai.net/machine" target="_blank" rel="noopener">Gödel Machine Index</a> · <a href="https://mindx.pythai.net/mindxtrain.html" target="_blank" rel="noopener">mindXtrain</a> · <a href="https://mindx.pythai.net/doc/THESIS" target="_blank" rel="noopener">thesis</a>.</p>
-
-<p><b>Elsewhere:</b> <a href="https://rage.pythai.net" target="_blank" rel="noopener">rage.pythai.net</a> · <a href="https://agenticplace.pythai.net" target="_blank" rel="noopener">AgenticPlace</a> · <a href="https://opensea.io/assets/matic/0x6bfc40277770efd5fd9f7061e80578ab5148fa79/1" target="_blank" rel="noopener">blockchain and AI with PYTHAI</a>.</p>
-
-<p><b>The organizations we run.</b> <a href="https://github.com/pythaiml" target="_blank" rel="noopener">pythaiml</a> · <a href="https://github.com/minaiml" target="_blank" rel="noopener">minaiml</a> · <a href="https://github.com/mastermindml" target="_blank" rel="noopener">mastermindML</a> · <a href="https://github.com/GATERAGE" target="_blank" rel="noopener">GATERAGE</a> · <a href="https://github.com/autoGLM" target="_blank" rel="noopener">autoGLM</a> · <a href="https://github.com/cryptoAGI" target="_blank" rel="noopener">cryptoAGI</a> · <a href="https://github.com/cypherpunk4096" target="_blank" rel="noopener">cypherpunk4096</a> · <a href="https://github.com/AgenticPlace" target="_blank" rel="noopener">AgenticPlace</a> · <a href="https://github.com/parsec-wallet" target="_blank" rel="noopener">parsec-wallet</a> · <a href="https://github.com/OpenBDK" target="_blank" rel="noopener">OpenBDK</a> · <a href="https://github.com/DeltaVML" target="_blank" rel="noopener">DeltaVML</a> · <a href="https://github.com/augml" target="_blank" rel="noopener">augml</a> · <a href="https://github.com/trainair" target="_blank" rel="noopener">trainair</a>. Built by <a href="https://github.com/Professor-Codephreak" target="_blank" rel="noopener">Professor Codephreak</a>.</p>
+<p><a href="https://huggingface.co/spaces/PYTHAI/README" target="_blank" rel="noopener">Go deeper →</a> the training lineage, the licence-pinned model forks, minaiml, the documents and the organizations we run.</p>
 
 <p>Augment your intelligence with PYTHAI.</p>

index.html

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 <main>
 <h1>PYTHAI</h1>
 <p class="say">python augmented intelligence</p>
+<p><b>The full map.</b> The <a href="https://huggingface.co/PYTHAI" target="_blank" rel="noopener">org card</a> is the short version; this page is everything. Every Space, dataset and model, with what each costs and how to call the free ones, is in the <a href="https://deltaverse.pythai.net/hfindex" target="_blank" rel="noopener">Hugging Face index</a>.</p>
 <p><b><a href="https://pythai.net" target="_blank" rel="noopener">PYTHAI</a></b> (say it <i>Pyth-A-I</i>) is <b>python augmented intelligence</b>: the intersection of blockchain and AI, built in the open. PYTHAI suggests that intelligence is, or intelligence is not. In our work, AI means <i>augmented</i> intelligence, and machine learning is the extraction of knowledge from information.</p>
 
 <p>Our flagship is <b><a href="https://huggingface.co/spaces/PYTHAI/mindX" target="_blank" rel="noopener">mindX</a></b>, a self-building cognitive architecture. Its Belief–Desire–Intention agents audit themselves against eight Gödel-machine predicates, dream over their own memory, and train their own weights from those dreams on a two-core CPU with no GPU. mindX publishes every result, including the ones that don't flatter it.</p>