What if language was no longer a barrier to global business?

In this episode, DeepL CEO Jarek Kutylowski joins Craig Smith to unpack how AI-powered translation is reshaping the way companies communicate across borders.

From real-time speech tools to enterprise-grade language workflows, Jarek shares DeepL’s journey, the tech behind their LLMs, and why accuracy, nuance, and localization matter more than ever. If you're building for a global audience, this conversation is a must-listen.

About Jarek: Dr. Jaroslaw “Jarek” Kutylowski is the founder and CEO of DeepL, the Cologne-based Language AI company transforming global communication and breaking down language barriers for businesses worldwide. 

Born in Poland and having spent a large part of his life in Germany, Jarek brings an international perspective and a lifelong passion for technology - a developer at heart, he began coding at just 10 years old, building tools he found useful in daily life. He holds a PhD in Computer Science with a focus on mathematics and has held roles at several tech companies prior to founding DeepL. 

Under his leadership, DeepL has grown rapidly, expanding its Language AI platform to offer highly accurate and nuanced human-like translation in both written and spoken formats, as well as a contextual AI writing assistant. Today, over 200,000 businesses and governments - and millions of individuals across 228 global markets - trust DeepL for secure, seamless and effective communication.

Stay Updated:

Craig Smith on X: https://x.com/craigss

Eye on A.I. on X: https://x.com/EyeOn_AI

(00:00) Introduction to DeepL and Jarek’s Vision

(05:09) DeepL’s Technology Evolution

(08:17) The DeepL Platform: Products, APIs, and Enterprise Use Cases

(12:39) Why DeepL Outperforms Consumer Tools

(15:14) How Enterprises Use DeepL

(17:05) DeepL’s Translation Accuracy

(21:20) Breaking Language Barriers in Global Workforces

(23:46) A Future Without Language Barriers

(27:19) Expanding Language Coverage and Industry Verticals

(31:44) DeepL’s Role in High-Compliance Sectors

(34:04) Tackling Latency and Real-Time Use Cases

(38:38) DeepL as the Translation Engine Behind Other Products

(42:40) Partnering with News Media and Government

(45:40) Pricing Models and Accessibility

(46:24) The Human Impact of AI-Powered Language Tools

(49:22) What’s Next for DeepL and Global Communication

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

Can AI expand human consciousness? Or is it just a simulation of wisdom?

In this mind-bending episode of Eye on AI, host Craig Smith sits down with world-renowned spiritual teacher and author Deepak Chopra to explore the future of Artificial Intelligence, consciousness, health, and spiritual awakening.

Deepak unpacks the ideas behind his latest book, Digital Dharma, and shares how his team built a small language model—DeepakChopra.ai—designed to serve as a digital health and spiritual guide. Together, they dive deep into quantum theory, the illusion of the physical world, and why consciousness is not something AI can ever possess—but it can help us reach it.

Whether you're an AI enthusiast, a spiritual seeker, or simply curious about the future of human evolution, this episode will challenge your assumptions and expand your perspective.

Stay Updated:

Craig Smith on X:https://x.com/craigss

Eye on A.I. on X: https://x.com/EyeOn_AI

(00:00) Why Deepak Chopra Is Entering the AI Space

(04:05) The Promise and Peril of the AI Revolution

(09:47) How Deepak Chopra Built His Own AI Model

(13:58) Is AI the Future of Human Evolution?

(15:39) How the AI Landscape Has Evolved Over Time

(21:22) AI in Preventative Healthcare

(24:49) Key Insights from “Digital Dharma”

(25:40) Using Prompt Engineering for Inner Growth

(38:28) Exploring Human Potential Through AI

(43:16) Can AI Understand Human Emotions?

(47:00) Spiritual Awakening in the Age of AI

(50:54) The Future of AI and Consciousness

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.

Try OCI for free at http://oracle.com/eyeonai

What if you could fine-tune an AI model without any labeled data—and still outperform traditional training methods?

In this episode of Eye on AI, we sit down with Jonathan Frankle, Chief Scientist at Databricks and co-founder of MosaicML, to explore TAO (Test-time Adaptive Optimization)—Databricks’ breakthrough tuning method that’s transforming how enterprises build and scale large language models (LLMs).

Jonathan explains how TAO uses reinforcement learning and synthetic data to train models without the need for expensive, time-consuming annotation. We dive into how TAO compares to supervised fine-tuning, why Databricks built their own reward model (DBRM), and how this system allows for continual improvement, lower inference costs, and faster enterprise AI deployment.

Whether you're an AI researcher, enterprise leader, or someone curious about the future of model customization, this episode will change how you think about training and deploying AI.

Explore the latest breakthroughs in data and AI from Databricks: https://www.databricks.com/events/dataaisummit-2025-announcements

Stay Updated: Craig Smith on X: https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI

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

What if your blood could reveal the future of your health - years before symptoms ever appear?

In this episode of Eye on AI, Craig Smith sits down with Ash Anwar, co-founder of Molecular You, to explore how AI and advanced biomarker analysis are transforming how we detect and prevent disease. 

From a real-life case where stage 1 pancreatic cancer was caught early, to the science behind tracking 250+ dynamic biomarkers, Ash breaks down how Molecular You is shifting healthcare from reactive treatment to proactive longevity. 

They dive into the limitations of genetic testing, the power of machine learning models trained on clinical data, and how personalized action plans are helping individuals take control of their health in real time. 

If you're curious about the intersection of AI, diagnostics, and the future of preventive medicine—this is a conversation you won't want to miss.

Stay Updated: Craig Smith on X: https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI

(00:00) How AI Can Predict Disease Before It Happens   (02:02) Meet Ash Anwar: From Scientist to Health Tech Leader   (06:31) What Is Molecular You and How It Works   (09:43) Why Biomarker Tracking Over Time Is a Game-Changer   (15:46) How Molecular You Detected Stage 1 Pancreatic Cancer   (23:15) Biomarkers vs Genetics: What Really Matters   (28:11) The AI Models Behind Early Disease Detection   (32:37) How the Product Works for Clinics and Consumers   (35:05) Who They Compete With and What Makes Them Different   (37:34) Research vs Product: The Cancer Risk Challenge   (43:43) How Often Should You Get Tested?

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

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.

Stay Updated:

Craig Smith on X:https://x.com/craigss

Eye on A.I. on X: https://x.com/EyeOn_AI

(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.

Stay Updated:

Craig Smith on X:https://x.com/craigss

Eye on A.I. on X: https://x.com/EyeOn_AI

(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.

Stay Updated:

Craig Smith on X: https://x.com/craigss

Eye on A.I. on X: https://x.com/EyeOn_AI

(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.

Stay Updated:

Craig Smith on X:https://x.com/craigss

Eye on A.I. on X: https://x.com/EyeOn_AI

(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 

Stay Updated:

Craig Smith on X:https://x.com/craigss

Eye on A.I. on X: https://x.com/EyeOn_AI

(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.

Stay Updated:

Craig Smith on X:https://x.com/craigss

Eye on A.I. on X: https://x.com/EyeOn_AI

(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

Stay Updated:

Craig Smith on X:https://x.com/craigss

Eye on A.I. on X: https://x.com/EyeOn_AI

(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