Carter Huffman

Zeve Sanderson, the Founding Executive Director of the NYU Center for Social Media and Politics, joins the discussion to tackle the accountability of tech companies in cases of radicalization linked to online platforms. They delve into the persuasive power of large language models and examine various recent laws aimed at regulating AI, such as California's AI Transparency Act. Carter Huffman, CTO of Modulate, shares insights on innovative voice technology designed for fraud detection, highlighting its role in countering sophisticated impersonation tactics.

Carter Huffman, CTO and co-founder of Modulate, builds real-time voice AI for emotion, intent, deception detection and large-scale moderation. He discusses why live voice understanding matters, the ensemble model architecture that beats foundation models, ultra-low latency scaling for millions of streams, and applications from gaming toxicity to deepfake and fraud detection.

Carter Huffman, Co-founder and CTO of Modulate who builds low-latency voice AI systems. He talks about why speech-to-text pipelines miss tone and emotion. He explains dynamic ensemble architectures that route small specialized models per conversation. He covers cost-based routing, watchdog checks, long-horizon memory, and when ensembles beat giant models.