Ep. 1 - Awni Hannun on ASR, MLX and the future of on-device AI

Ep. 2 - Bryan Catanzaro on Nvidia's open models and risky bets

Atila Orhon, founder of Argmax, locally hosts Bryan Catanzaro, co-creator of cuDNN, member of the Deep Speech Mafia and VP of Applied Deep Learning at Nvidia: (00:20) Who is Bryan? (07:38) Getting Nvidia to care about Deep Learning (14:13) Why did Bryan leave Nvidia right when Deep Learning was taking off (18:02) Leadership: Aligning a village of researchers (24:12) Will the frontier flip back to open? (32:16) Nvidia's models: Side project or core business? (38:19) Efficiency leads to edge inference: Does Apple capture inference? (42:43) Nvidia’s risky bets: Fewer and fewer bits (47:19) Nvidia's misstep with Volta (52:30) Every model is already obsolete as soon as you stop training it

Ep. 1 - Awni Hannun on ASR, MLX and the future of on-device AI

Atila Orhon, founder of Argmax, locally hosts Awni Hannun, co-creator of MLX: (00:00) AlexNet moment for Speech (03:50) Baidu Mafia (07:34) Grading Awni's 2021 predictions for 2030 (22:08) Personalizing ASR for mainstream adoption (32:45) MLX (35:35) From research tool to inference engine (40:05) On-device AI for enthusiast users vs developer default (45:27) Open-source philosophy (51:05) Why did MLX expand to CUDA? (55:45) After MLX (56:36) Intelligence per watt (01:01:13) Advice for researchers on negative results