Think Beyond
Your cognitive amplifier powered by DeepSeek & Atherium Edge. Explore ideas, architect systems, or inspect complex logic.
Explore an idea
Turn raw hypotheses into scalable blueprints.
Build something
Scaffold backend workers, debug concurrency, and optimize APIs.
Understand anything
Deconstruct intricate algorithms from first principles.
Think with context
Inspect all stored memories and active guidelines.
Understand Anything.
Demystify complicated concepts, protocols, or systems with structured clarity.
Self-Attention in Neural Networks
FIRST PRINCIPLESSelf-attention allows every token in a sentence to look across all other tokens simultaneously to compute its contextual weight. Instead of sequential recurrence, attention projects tokens into Query ($Q$), Key ($K$), and Value ($V$) coordinates.
Vectors are multiplied by learned matrices $W_Q, W_K, W_V$ to extract semantic features.
Query vectors match with Key vectors: $QK^T$. Greater alignment signifies greater context relevance.
Scores are divided by $\sqrt{d_k}$ and passed to Softmax to generate normalized probability distributions.
Coding Lab.
Interactive sandbox for reviewing code, testing algorithms, and inspecting edge runtimes.
Memory Vault.
Inspection panel showing everything currently stored in persistent workspace memory.
Add Memory Node
Settings.
Configure OrcaRouter API endpoints, Supabase connections, and model settings.
Supabase Identity
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