Brings the system from "engrams cluster + form synapses" to a complete end-to-end demo: ingest text, watch it cluster, ask questions, restart with state intact. - Stage 4: birth introspection (taxonomy/goals/open_questions via LLM, bounded by the global parallel-op semaphore), per-engram memory log, click-to-inspect side panel. - Stage 5: queries as conversations. POST /api/galaxy/:id/query embeds the question, materializes a pinned Query-Engram at the donut center, runs broadcast retrieval (global cosine scan + 1-hop synaptic expansion with attenuation) and fans out responder LLM calls. The integrator runs every 2s on accumulated snippets and streams the refining answer back over SSE; responders briefly transition to Conversing on the WS bus so the right dots light up. - Stage 6: snapshot persistence. sled-backed store keyed by galaxy id, JSON-encoded values (bincode chokes on internally-tagged enums like Manifest/MemoryKind), 60s periodic snapshot task, hydrate-on-boot, DELETE /api/galaxy/:id wired through. State survives kill -9. - Stage 7: HUD additions (sim ticks/sec, LLM queue depth, FPS) via a new GET /api/stats polled at 1Hz. `sophia demo` subcommand boots the server then auto-ingests a 50-paragraph corpus baked into the binary with include_str!. README quickstart added. Token caps for query_responder/integrator bumped (gemma-4-e4b is a thinking model — output budget must cover hidden reasoning + visible answer, otherwise content comes back empty). Pinned engrams skip physics; their tick scheduling is also skipped at materialization so they stay perfectly still at the donut center. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
51 lines
4.4 KiB
Plaintext
51 lines
4.4 KiB
Plaintext
Pasta carbonara uses guanciale, eggs, pecorino romano, and freshly cracked black pepper.
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Spaghetti aglio e olio combines garlic, olive oil, chili flakes, and parsley over al dente pasta.
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Risotto requires arborio rice, slowly added warm broth, and constant stirring to release starch.
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Pesto alla genovese blends basil, pine nuts, garlic, parmesan, pecorino, and olive oil.
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Cacio e pepe is just pasta, pecorino, and pepper — emulsion comes from starchy pasta water.
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Lasagne bolognese layers ragu, bechamel, and pasta sheets between melted parmesan.
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Amatriciana sauces guanciale and tomato together with a touch of pecorino.
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Gnocchi alla romana use semolina baked with butter and cheese instead of potato.
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Tiramisu layers savoiardi soaked in espresso with mascarpone whipped with eggs and sugar.
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Sourdough bread relies on a wild yeast starter and slow bulk fermentation for flavor.
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Bechamel sauce is built from a roux of butter and flour cooked into milk.
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Caramelization happens to sugars above 160 C; the Maillard reaction needs proteins and amines.
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Sushi rice is seasoned with vinegar, sugar, and salt while still warm so seasoning soaks evenly.
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Korean kimchi ferments napa cabbage with chili paste, garlic, ginger, and salted shrimp.
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French croissants get their flake from laminated layers of cold butter folded into yeasted dough.
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Backpropagation computes gradients of a loss with respect to neural network weights via the chain rule.
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Gradient descent updates model parameters in the direction that reduces the loss the most.
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Stochastic gradient descent samples mini-batches so each step costs less and adds useful noise.
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Adam adapts a per-parameter learning rate using running moments of the gradients.
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Convolutional neural networks share weights across spatial locations to exploit translation invariance.
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Recurrent networks process sequences by feeding state from one step into the next.
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Transformers attend over a whole sequence at once instead of recurring through it.
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Self-attention computes a weighted sum of values where weights are softmax of query-key dot products.
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Layer normalization stabilizes training by normalizing activations along the feature dimension.
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Dropout randomly zeroes activations during training as a regularizer.
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Residual connections let very deep networks train by giving gradients an additive path back.
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Word embeddings map discrete tokens to dense vectors learned end-to-end with the task.
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A loss function turns predictions and targets into a single scalar to minimize.
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Cross-entropy loss compares a predicted distribution to a one-hot target.
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Reinforcement learning learns a policy by trial-and-error rewards in an environment.
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Markov decision processes describe RL with states, actions, transitions, and rewards.
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Q-learning estimates the value of taking each action in each state.
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Policy gradient methods directly adjust the policy to maximize expected reward.
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The Roman Empire fell in 476 CE when Romulus Augustulus, the last western emperor, was deposed.
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Constantinople fell to the Ottomans under Mehmed II in 1453, ending the Byzantine Empire.
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The Magna Carta of 1215 limited the power of the English monarchy and protected baronial rights.
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The printing press, perfected by Gutenberg around 1440, accelerated the spread of literacy in Europe.
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The Treaty of Westphalia in 1648 ended the Thirty Years War and established sovereign-state diplomacy.
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The French Revolution began in 1789 with the storming of the Bastille on July 14.
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The Industrial Revolution started in late-eighteenth-century Britain with mechanized textile production.
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The American Civil War ran from 1861 to 1865 over slavery, states' rights, and union.
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World War I lasted from 1914 to 1918 and was triggered by the assassination of Archduke Franz Ferdinand.
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The Russian Revolution of 1917 replaced the tsarist autocracy with Bolshevik rule.
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The Great Depression began with the 1929 Wall Street Crash and lasted through the 1930s.
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World War II ended in 1945 after Germany surrendered in May and Japan in September.
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The United Nations was founded in 1945 in San Francisco to prevent another global war.
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The Cold War divided the world between US and Soviet spheres from roughly 1947 to 1991.
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The Berlin Wall fell on November 9, 1989, symbolizing the end of the Cold War in Europe.
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The Apollo 11 mission landed humans on the Moon for the first time on July 20, 1969.
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The European Union was established by the Maastricht Treaty in 1993, succeeding the EEC.
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