Our latest uplift across French and Portuguese has resulted in significant improvements to our models, particularly noticeable in Canadian French and Brazilian Portuguese ASR, with average relative reductions in Word Error Rate of 18% for Canadian French and 5% for Brazilian Portuguese, showcasing a huge leap ahead of competitors like Google and Microsoft, as we continue to use self-supervised learning to improve on every language continuously.