Brian Wang Tesla is training a new FSD model with ~10X the parameters and a big improvement to video compression loss. Probably ready for public release end of next month if testing goes well. Video compression improvements (reducing data loss during training) have contributed ~20-30% additional uplift in past updates by enabling higher-fidelity inputs. From Phil Beisel [x-Apple / x-Rivian (tech team founder)] who is making an educated guess about the video compression. Raw frame data from 8 cameras is extremely large, and transmitting it over cellular or Wi-Fi is both time- and cost-prohibitive. Tesla likely uses a lossy compression model to reduce this burden, but then decompresses it back into a raw photon representation during training. Inference (i.e., real-time processing on the car) always uses raw photon data directly. This still bypasses the traditional ISP (see article). And to be clear, this isn’t like JPEG-style compression, which discards a lot of fidelity. Tesla’s method compresses the data for transport while preserving much of the original signal quality. A 10x parameter increase could yield ~3-5x improvement in miles per intervention (MPI). The baseline version in Austin is about one intervention per 5000-15000 miles per critical intervention. With video compression adding ~1.5-2x uplift, overall ~4-10x better reliability is plausible in optimistic scenarios. This might push to 20000 to 150000 Miles per critical intervention. In a recent post, Elon mentioned a new FSD model—assumed to be version 14—that has 10x the parameters of version 13. He also referred to a “big improvement to video compression loss.” This might sound confusing, given prior comments about using raw photon counts.