At the heart of Tesla’s Full Self-Driving (FSD) system and its Optimus humanoid robot lies a class of AI models called Transformers. These models rely on a technique known as Rotary Positional Encoding (RoPE) to understand where objects exist in space and time critical for remembering a stop sign seen seconds ago or keeping a robot balanced while carrying a shifting load. The catch is that RoPE calculations usually demand 32-bit floating-point precision, which consumes power, generates heat, and requires expensive silicon. Running those same calculations on fast, energy-efficient 8-bit hardware typically causes rounding errors that compound quickly, degrading perception and control. Elon Musk rarely minces words when it comes to Tesla’s technology edge. “Necessity is the mother of invention,” the Tesla CEO wrote on X this week, adding that the company’s AI team is “epicly hardcore” and unmatched in real-world artificial intelligence. What is your take on Tesla’s technology ?
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