Eye On A.I.

Kevin Tian, co-founder and CEO of Doppel, former Uber and Lyft engineer focused on AI defenses. He discusses AI-driven impersonation and multi-channel social engineering. Topics include deepfake phone calls, search and AI-result poisoning, real-time mapping and takedowns, and using AI to fight AI. The conversation centers on scaling attacks and building automated defenses to protect brands and executives.

Baris Gultekin, Head of Product for AI at Snowflake who previously led Google Assistant AI work, explains running AI next to governed enterprise data. He discusses data agents, governance and guardrails, retrieval quality, model choice and agent orchestration. Conversation covers production-scale deployments, productivity gains, and how leaders prepare data and culture for AI-powered decision making.

Zuzanna Stamirowska, co-founder and CEO at Pathway and complexity scientist, discusses brain-inspired BDH architecture for memory-enabled AI. She explains why current transformers reset, how sparse graph-based memories and Hebbian-like updates enable real-time, continuously updating models. They cover scaling, resilience, interpretability, productization with NVIDIA/AWS, and use cases for changing-data and regulated industries.

Phelim Bradley, co-founder and CEO of Prolific and former bioinformatics researcher, explains the hidden human layer powering modern AI. He discusses vetting and scaling representative participants, demographic‑aware model preference testing, why standard benchmarks are failing, and how continuous human evaluation and human–AI collaboration will shape model choice and reliability.

Sharon Zhou, VP of AI at AMD and former Stanford researcher focused on AI infrastructure and kernel optimization. She explains models writing and evolving GPU kernel code. Topics include just-in-time kernel generation, reinforcement learning with verifiable profiling rewards, continual learning challenges, compute economics, and how kernel efficiency can be a major AI scaling lever.

David Ha, co-founder and CEO of Sakana AI and a researcher blending neuroevolution with deep learning. He discusses why evolution and collective intelligence might trump mere scale. Topics include model merging, multi-agent AI Scientist systems, Monte Carlo tree search, and using evolutionary search to generate novel research ideas.

Amanda Luther, Senior Partner at Boston Consulting Group and lead of BCG's AI Transformation practice, shares findings from a 1,500-company AI study. She explains the widening gap between AI leaders and laggards. Topics include where AI creates value in core functions, how impact is measured on the P&L, why leaders invest twice as much, and the realities and practical uses of agentic systems.

Nick Frosst, Co-founder of Cohere and former Google Brain researcher, builds enterprise-ready large language models for real business use. He discusses why Cohere prioritizes efficient, private, and deployable AI over chasing AGI. Topics include transformers’ scaling, enterprise deployment and security, model efficiency and distillation, agentic systems, evaluation pitfalls, and AI becoming embedded infrastructure.

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.

Subho Halder, co-founder and CEO of Appnox and former mobile security researcher, explains how AI has turned apps into living systems that break traditional security. He describes fake ChatGPT-style wrappers that harvest data, why app stores often miss malicious behavior, and why trust and developer workflows must change as AI reshapes mobile risk.