Eye On A.I.

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.

Olek Paraska, CTO of Togal AI and builder of AI systems for construction, explains why pre-construction takeoffs are the true bottleneck. He describes using computer vision plus reasoning layers, human-in-the-loop workflows, and agentic tools to turn floor plans into materials, costs, and actionable estimates. The conversation covers immediate ROI, handling regional codes, and a long-term vision for automated pre-construction planning.

Steve Brown, founder of CureWise and Stanford-trained physicist/computer scientist who built multi-agent AI after his own rare cancer journey. He discusses agentic AI analyzing messy medical records, multi-agent consensus to surface missed tests, large context windows and RAG, and using AI to educate and empower patients for better clinician collaboration.

Robbie Goldfarb, former Meta product leader and co-founder of Forum AI, builds systems to scale expert judgment for evaluating AI. He discusses why treating AI as a truth engine is dangerous. Short takes cover expert-driven evaluation, capturing expert thought processes, consequence mapping for mental health and politics, sycophancy and trust, and why transparency about who trains models matters.

Jarrod Johnson, Chief Customer Officer at TaskUs, discusses the transformative power of agentic AI in customer service. He reveals how this technology goes beyond chatbots to execute real actions and improve workflows. Jarrod shares insights on common deployment challenges, the importance of AI literacy among staff, and the future of customer interaction without clunky IVR menus. He also emphasizes the potential for significant cost savings and the need for ongoing compliance and maintenance in AI-driven systems.

In this engaging discussion, Nick Pandher, VP of Product at Cirrascale and former leader at NVIDIA and AMD, delves into the shift from AI model training to inference. He highlights the pivotal role of inference-first infrastructure and the rise of neoclouds as tailored solutions for businesses. Nick contrasts hyperscalers with neoclouds regarding performance and cost-efficiency. He also shares insights on the importance of security, private deployments, and the critical metrics for successful AI implementations, making this a must-listen for anyone interested in AI deployment.

Evan Reiser, Founder and CEO of Abnormal Security, shares insights on the evolving cybersecurity landscape. He explains why phishing remains a primary threat, as attackers leverage human trust and sophisticated AI techniques. Evan highlights the limitations of traditional defenses, advocating for behavioral models that track 'known good' behavior. He emphasizes the AI arms race, the unique vulnerabilities posed by human judgement, and the intricacies of cybercrime economics, illustrating the urgent need for a deeper understanding of behavioral security.

Jonathan Wall, founder and CEO of Runloop AI, dives into the revolutionary intersection of AI agents and compute infrastructure. A former Google engineer, he discusses how traditional cloud models fail to meet the unique needs of unpredictable AI agents. By providing each agent its own isolated 'dev box,' new capabilities are unlocked. Wall also explores scaling agents in production, ensuring trust through benchmarks, and the impact of these systems on enterprise workflows, revealing a future where agents become essential coworkers.

Anurag Dhingra, Senior VP at Cisco with nearly two decades at the company, delves into how AI is revolutionizing enterprise infrastructure. He discusses the importance of robust AI integration, from self-healing networks to agentic AI. Anurag explores the balance between cloud and edge models and how purpose-built AI systems enhance network reliability. He also highlights security challenges posed by AI agents and advocates for a diversified model ecosystem. Listeners gain insights into practical AI applications that enhance operational efficiency across enterprises.

Stefano Ermon, co-founder and CEO of Inception and former Stanford professor, explores diffusion language models and their potential to revolutionize AI. He explains how these models generate text in parallel, enhancing speed and cost efficiency compared to traditional methods. The discussion delves into the architecture's controllability and safety, the necessity of efficient inference for broader AI applications, and the exciting future of coding workflows and voice agents. Ermon emphasizes the role of these innovative models in shaping the next generation of generative intelligence.