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You’re an “Ai first” business? No. Your domain TLD is .Ai? No. Today AI is table stakes so you’re NOT differentiating, you’re limiting your market! If you built a business during the .com bubble days you wouldn’t go around today saying “look, we’re online!” would you?

Voice used to be AI’s forgotten modality - now it's having its big moment: rapid innovation, big funding rounds, major agentic applications My conversation with @neilzegh, top AI researcher in the field (@GoogleDeepMind, @Meta, @kyutai_labs) and now CEO of @GradiumAI This is a reference episode on all things voice AI 🔥 00:00 Intro 01:21 Voice AI’s big moment, and why we’re still early 03:34 Why voice lagged behind text/image/video 06:06 The convergence era: transformers for every modality 07:40 Beyond Her: always-on assistants, wake words, voice-first devices 11:01 Voice vs text: where voice fits (even for coding) 12:56 Neil’s origin story: from finance to machine learning, with help from @ylecun and @soumithchintala 18:35 Neural codecs (SoundStream): compression as the unlock 22:30 Kyutai: open research, small elite teams, moving fast 31:32 Why big labs haven’t “won” voice AI4 34:01 On-device voice: where it works, why compact models matter 46:37 The last mile: real-world robustness, pronunciation, uptime 41:35 Benchmarking voice: why metrics fail, how they actually test 47:03 Cascades vs speech-to-speech: trade-offs what’s next 54:05 Hardest frontier: noisy rooms, factories, multi-speaker chaos 1:00:50 New languages dialects: what transfers, what doesn’t 1:02:54 Hardware & compute: why voice isn’t a 10,000-GPU game 1:07:27 What data do you need to train voice models 1:09:02 Deepfakes privacy: why watermarking isn’t a solution 1:12:30 Voice vision: multimodality, screen awareness, video audio 1:14:43 Voice cloning vs voice design: where the market goes 1:16:32 Paris/Europe AI: talent density, underdog energy, what’s next

The model isn’t the moat—decision-driven UX is. We had Megh Gautam, Chief Product Officer at @crunchbase, on Future Proof to break down how they made their trusted data product AI-native. The key insight: design for decisions. Users don’t want facts; they want to know what’s worth their time—and they want your product to guide that judgment. Listen/watch here useparagon.com/podcast/how-t…

What’s stopping you from coding like this?

My Grok Imagine 1.0 entry — from broke to $1M? 😂