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PART 3. AI model is not a transformer, 330k tokens/sec, no GPU, CPU - 90-140 MHz, 0.5-5.5 watts. Analytics Table
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About PART 3. AI model is not a transformer, 330k tokens/sec, no GPU, CPU - 90-140 MHz, 0.5-5.5 watts.
Explore PART 3. AI model is not a transformer, 330k tokens/sec, no GPU, CPU - 90-140 MHz, 0.5-5.5 watts. with 48 views, 5 likes, and 2 comments. Experience the impact of this video content that has captured audience attention.
[17.07.2026 20:10] Evgenij: AI model is not a transformer, 330k tokens/sec, no GPU, CPU - 90-140 MHz, 0.5-5.5 watts. [17.07.2026 20:11] Evgenij: AI Model: NOT a Transformer. Runs at 300k–500k tokens per second on a 90–140 MHz CPU – no GPU needed. Power consumption: 0.5–5.5 watts. Works on any old hardware, even DDR2 RAM. CPU load only 11–17% at 1.1 GHz nominal (effectively 120–130 MHz), temperature stays 38–45°C. Accepts 1–3 billion token chunks in one context. Built-in: self-analysis class, evolution class, and a monologue mechanism. This is a prototype of consciousness for an android robot. Learns instantly (one-shot) – after processing 2 billion characters, the brain file grows from 1KB to 270MB. Answers logically in 3 seconds, like a child. Dynamic evolving structure – not Transformer, not RNN, not SSM. #AndyAI #LivingBrain #OptimusRobot #TeslaBot #CeleronAI #LowPowerAI #RealTimeLearning #BrainForRobot
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