The output is still 255,407 bytes, way over budget. Let me analyze the frames to understand the change patterns better:

```json
{
  "analysis": "Output is 255,407 bytes, still far over the 69,000 budget. I need to understand the change patterns in the frames to optimize better.",
  "plan": "Analyze the frames to understand:\n1. How many cells change per frame on average\n2. Whether changes are clustered or scattered\n3. What patterns emerge that can be exploited",
  "commands": [
    {
      "keystrokes": "python3 -c \"\nimport struct\nwith open('/app/frames.tza', 'rb') as f:\n    magic = f.read(4)\n    width, height = struct.unpack('<HH', f.read(4))\n    n_frames, max_bytes = struct.unpack('<II', f.read(8))\n    frames = [f.read(width * height) for _ in range(n_frames)]\n\nprev = b' ' * (width * height)\ntotal_changes = 0\nmax_changes = 0\nmin_changes = width * height\nfor frame in frames:\n    changes = sum(1 for i in range(width * height) if prev[i] != frame[i])\n    total_changes += changes\n    max_changes = max(max_changes, changes)\n    min_changes = min(min_changes, changes)\n    prev = frame\n\nprint(f'Average changes per frame: {total_changes / n_frames:.1f}')\nprint(f'Max changes in a frame: {max_changes}')\nprint(f'Min changes in a frame: {min_changes}')\nprint(f'Total changes: {total_changes}')\nprint(f'Budget per frame: {max_bytes / n_frames:.1f}')\n\"\n",
      "duration": 2.0
    }
  ]
}
```