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What does it really take to turn cutting-edge AI research into a successful foundation model company?

In this episode of Eye on AI, we sit down with Anjney Midha, General Partner at a16z, to unpack how he helps scientists and researchers transform their breakthroughs into scalable, real-world AI businesses.

From his early backing of Anthropic to launching Mistral and Black Forest Labs, Anjney shares a behind-the-scenes look at how AI infrastructure companies are born.

We dive into the critical challenges of model reliability, evaluation beyond academic benchmarks, and the rise of hybrid architectures combining transformers with diffusion and LSTMs.

If you're building in AI or investing in it, this is the roadmap to what's next.

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(00:00) Turning AI Research into Real Companies

(02:08) Anjney’s Journey into Venture Capital

(05:44) The Birth of Anthropic

(08:26) Backing Mistral and Stable Diffusion

(13:16) Are Transformers Really Enough?

(18:36) Why AI Evaluation Is Broken

(22:10) Making AI Models More Interpretable

(28:38) The Real Potential of AI Agents

(32:43) How a16z Spots AI Breakthroughs

(37:45) Investing Like It’s the 1970s

(43:31) What AI Voice Tech Needs Right Now

(46:32) Models vs Products

(51:17) What’s Holding Back AI Agents

(55:41) Anjney Startup Investing Strategy

What happens when you combine 8 billion minutes of voice data with a full-stack AI engine?

Yes, that’s what Dialpad is doing.

In this episode, Brian Peterson, CTO and Co-Founder, breaks down how they’ve built an AI-powered communications platform from the ground up.

From real-time sales coaching and AI-driven support agents to predictive analytics that can spot churn before it happens, Brian shares why owning the full stack — infrastructure, LLMs, and data is the only way to deliver truly intelligent customer experience.

If you’re curious about the future of AI in business communication, this is the episode to watch.

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(00:00) Brian’s Founding Story

(03:56) What Dialpad Actually Does Today

(05:17) Is Voice the Most Valuable Untapped Data Source?

(07:41) Inside DialpadGPT

(10:10) AI Solutions for Sales, Support & Collaboration

(12:24) Owning the Entire Customer Journey with Unified Comms

(14:11) How Dialpad Stays Ahead in the AI Race

(17:50) Real-Time AI Coaching & Playbooks

(22:32) Why Most Enterprises are Behind in AI Adoption

(25:28) Action-Oriented AI Agents

(32:40) What’s Next for AI in Customer Communication

AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support.

What if AI agents needed digital passports to act on your behalf?

In this episode, Ankur Banerjee, Co-Founder and CTO of cheqd.io, reveals how decentralized identity is becoming the foundation of the AI agent economy.

From booking Taylor Swift tickets with an agent to proving you're a real person online, we explore why identity and trust are the hidden infrastructure shaping the future of AI.

Ankur explains how cheqd is building privacy-first tools that let AI agents verify who they are, what they can do, and who they're working for, all without handing over your data to big tech. We dig into the rise of digital credentials, the limits of biometrics, and how protocols like MCP are making the internet safe for autonomous agents.

If you've ever wondered how AI will operate on your behalf in the real world, this conversation offers a glimpse into what's coming next.

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(00:00) Why AI Needs Identity

(02:16) Ankur’s Path to cheqd

(05:39) Delegating Tasks to AI Agents

(11:26) Identity Lessons from Governments

(17:25) Trusting AI with Digital Credentials

(23:42) The Problem with Biometrics

(30:49) Web Standards for Agent Identity

(36:46) MCP and Agent Interoperability

(48:47) Bridging Web2 and Web3 Identity

(55:18) Why Companies Should Care About Decentralized ID

Can Generative AI Be Secured? Amazon's Chief Security Officer Weighs In

In this episode of Eye on AI, Amazon's Chief Security Officer Stephen Schmidt pulls back the curtain on how Amazon is using AI-powered cybersecurity to defend against real-world threats. From global honeypots to intelligent alarm systems and secure AI agent networks, Steve shares never-before-heard details on how Amazon is protecting both its infrastructure and your data in the age of generative AI.

We dive deep into:

• Amazon's MadPot honeypot network and how it tracks adversaries in 90 seconds

• The role of AI in threat detection, alarm triage, and code validation

• Why open-source vs. closed-source models are a real security debate

• The critical need for data privacy, secure LLM usage, and agent oversight

• Amazon's $5M+ Nova Trusted AI Challenge to battle adversarial code generation
  
  

Whether you're building AI tools, deploying models at scale, or just want to understand how the future of cybersecurity is evolving—this episode is a must-listen.

Don’t forget to like, subscribe, and turn on notifications to stay updated on the latest in AI, security, and innovation.

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(00:00) Preview

(00:52) Stephen Schmidt’s Role and Background at Amazon

(02:11) Inside Amazon's Global Honeypot Network (MadPot)

(05:26) How Amazon Shares Threat Intel Through GuardDuty

(08:06) Are Cybercriminals Using AI?

(10:28) Open Source vs Closed Source AI Security Debate

(13:09) What Is Amazon GuardDuty

(17:44) How Amazon Protects Customer Data at Scale

(20:18) Can Autonomous AI Agents Handle Security?

(25:14) How Amazon Empowers SMBs with Agent-Driven Security

(26:18) What Tools Power Amazon’s Security Agents?

(29:25) AI Security Basics

(35:34) Securing AI-Generated Code

(37:26) Are Models Learning from Our Queries?

(39:44) Risks of Agent-to-Agent Data Sharing

(42:08) Inside the $5M Nova Trusted AI Security Challenge

(47:01) Supply Chain Attacks and State Actor Tactics

(51:32) How Many True Adversaries Are Out There?

(53:04) What Everyone Needs to Know About AI Security

AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support.

What if AI could predict exactly when you'd get sick—and help you prevent it?

In this episode of Eye on AI, Dr. Eric Topol, world-renowned cardiologist, author, and AI health pioneer, joins us to unveil the future of preventive medicine. We dive deep into the themes of his new book Super Agers, which lays out a groundbreaking blueprint for extending healthspan—not just lifespan—through the power of multimodal AI and deep biological data.

Dr. Topol explains how AI models can now analyze a full-stack of human data—genomics, proteomics, metabolomics, microbiome, and more—to forecast age-related diseases like cancer, Alzheimer’s, and heart disease decades before symptoms appear. This isn’t science fiction. It’s here now.

If you're interested in the intersection of AI, longevity, and the future of medicine, this is a must-listen.

Where AI Works tackles the big questions shaping AI’s role in business today, cutting through the hype to deliver actionable insights for leaders. Brought to you by the Wharton School, in collaboration with Accenture, this podcast combines cutting-edge research with real-world case studies to uncover how top companies are using AI to upskill workforces, enhance customer experiences, boost productivity, and streamline operations.

Check it out: https://link.cohostpodcasting.com/f5e223b4-da0c-4fc8-bbf3-5f24c15f8fd2?d=sxo9xhJN2

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(00:00) The Power of Precision Medical Forecasting

(01:53) Eric Topol’s Journey into Digital & AI Medicine

(03:27) Using AI to Prevent Aging-Related Diseases

(05:25) The Challenge of Health Data Privacy & Ownership

(09:05) Genetic Risk to Deep Data Insights

(11:20) Personalized Prevention Through Lifestyle & Biomarkers

(13:59) Why Anti-Aging Drugs Are Still Years Away

(16:18) What are Organ Clocks

(19:34) The Longevity Industry’s Flawed Use of AI

(21:59) Top AI Pioneers Endorse “Super Agers”

(24:21) Which Longevity Startups Are Getting It Right?

(26:27) Why Topol Refuses to Join Longevity Startups

(28:57) Topol’s Own Health Data & Lessons Learned

(30:25) How Accurate Is AI at Predicting Disease Timing?

(31:47) The Truth About Genetic Risk and Cancer Detection

(33:33) AI-Driven Cancer Detection: A Smarter Approach

(38:51) How Precision Medicine Has Evolved

(41:02) The Risky Reality of Anti-Aging Interventions

(44:39) Why Healthspan Matters More Than Lifespan

This episode is sponsored by Oracle. OCI is the next-generation cloud designed for every workload – where you can run any application, including any AI projects, faster and more securely for less. On average, OCI costs 50% less for compute, 70% less for storage, and 80% less for networking. Join Modal, Skydance Animation, and today’s innovative AI tech companies who upgraded to OCI…and saved.

Offer only for new US customers with a minimum financial commitment. See if you qualify for half off at http://oracle.com/eyeonai

In this episode of Eye on AI, host Craig Smith speaks with Prashanth Chandrasekar, CEO of Stack Overflow, about how one of the internet’s most trusted platforms for developers is adapting to the era of generative AI. With over 60 million human-curated Q&A pairs, Stack Overflow is now at the center of AI development — not as a competitor to large language models like ChatGPT, but as a foundational knowledge base that powers them.

Prashanth breaks down how Stack Overflow is partnering with OpenAI, Google, and other LLM providers to license its data and improve AI accuracy, while also protecting the integrity of its community. He explains the rise of OverflowAI, how Stack Overflow for Teams is fueling enterprise-grade co-pilots, and why developers still rely on expert human input when AI hits its “complexity cliff.” The conversation covers everything from hallucination problems and trust issues in AI-generated code to the monetization of developer data and the evolving interface of the web.

If you want to understand the future of developer tools, AI coding assistants, and how human knowledge will coexist with autonomous agents, this episode is a must-listen.

Subscribe for more deep dives into how AI is reshaping the world of software, enterprise, and innovation.

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(00:00) Intro

(02:31) Prashanth’s Journey from Developer to CEO

(05:18) Why Stack Overflow is Different from GitHub

(08:51) The Power of Community and Human-Curated Knowledge

(12:53) Stack Overflow’s Data Strategy for AI Training

(17:26) Why Stack Overflow Isn’t Competing with OpenAI

(20:36) How Stack Overflow Powers Enterprise AI Agents

(26:13) OverflowAI, Gemini, and the Future of Dev Workflows

(30:09) Inside Stack Overflow for Teams

(33:29) Safeguarding Quality: The Fight Against AI Slop

(38:32) Licensing, Attribution, and Protecting the Knowledge Base

(43:19) Business Strategy in the Age of Generative AI

This episode is brought to you by Extreme Networks, the company radically improving customer experiences with AI-powered automation for networking.Extreme is driving the convergence of AI, networking, and security to transform the way businesses connect and protect their networks, delivering faster performance, stronger security, and a seamless user experience.

Visit https://www.extremenetworks.com/ to learn more.

In this episode of Eye on AI, we sit down with Ivan Shkvarun, CEO of Social Links and founder of the Dark Side AI Initiative, to uncover how cybercriminals are leveraging generative AI to orchestrate fraud, deepfakes, and large-scale digital attacks—often with just a few lines of code.

Ivan shares how his team is building real-time OSINT (Open Source Intelligence) tools to help governments, enterprises, and law enforcement fight back. From dark web monitoring to ethical AI frameworks, we explore what it takes to protect the digital world from the next wave of AI-powered crime.

Whether you're in tech, cybersecurity, or policy—this conversation is a wake-up call.

AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support.

From cybersecurity to law enforcement — discover how Social Links brings the full potential of OSINT to your team at http://bit.ly/44sytzk

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(00:00) Preview

(02:11) Meet Ivan Shkvarun & Social Links

(03:41) Launching the Dark Side AI Initiative

(05:16) What OSINT Actually Means Today

(08:39) How Law Enforcement Trace Digital Footprints

(12:50) Connecting Surface Web to Darknet

(16:12) OSINT Methodology in Action

(20:23) Why Most Companies Waste Their Own Data

(21:09) Cybersecurity Threats Beyond the IT Department

(26:25) BrightSide AI vs. DarkSide AI

(30:10) Should AI-Generated Content Be Labeled?

(31:26) Why We Can’t “Stop” AI

(35:37) Why AI-Driven Fraud Is Exploding

(41:39) The Reality of Criminal Syndicates

This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more.NetSuite is offering a one-of-a-kind flexible financing program.

Head to https://netsuite.com/EYEONAI to know more.

AWS partnered with Forrester Research to understand how software providers (ISVs), in particular, plan to drive profitable growth with generative AI, how they are uniquely approaching generative AI development, and the key challenges they’re facing.

In this conversation with Jeffrey Hammond, Global ISV Product Strategist at AWS, he dives into the findings of the research and discusses how — particularly with AWS’s help — ISVs can drive profitable growth and succeed in the gen AI gold rush.

Jeffrey helps software product management leaders leverage AWS cloud services to accelerate product delivery, create new revenue streams, reduce technical debt, and optimize operational costs.

You’ll learn:

• Why “toil reduction” is the fastest path to GenAI ROI

• How AWS’s GenAI Innovation Center helps companies cut costs and ship faster

• What most ISVs get wrong about trust, security, and customer communication

• The secret to scalable AI product pricing—and what Canva got right

• Why agentic workflows and federated models are the next frontier in software

Whether you're building on AWS or just exploring GenAI adoption, this conversation is packed with frameworks, examples, and strategy.

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(00:00) The Future of Work with Generative AI

(03:20) Inside AWS: How Jeffrey Supports AI Innovation

(06:00) What the Forrester Survey Reveals About AI Adoption

(09:15) From Hype to Value: Building Real GenAI Use Cases

(13:45) How ISVs Are Reducing Toil and Driving Efficiency

(17:10) Balancing Innovation with Trust and Security

(22:00) AWS Programs That Help ISVs Win with AI

(28:00) GenAI Product Strategy: Accuracy, Cost & Pricing Models

(34:30) Overcoming Infrastructure Challenges in GenAI

(39:45) The Rise of Agentic Workflows and Interoperability

(46:00) The Biggest Tech Disruption in Decades?