In this premiere episode of AI Language Lab, I welcomes Yael Tamar - marketing maven, blockchain entrepreneur, and passionate tech visionary - for a wide-ranging and eye-opening conversation about AI, automation, creativity, and what it means to thrive in today’s ever-evolving digital world.

Together, We explore everything from the rise of generative AI in marketing to the emotional fatigue of decision-making in the age of endless options.

Yael shares her fascinating journey from post-Soviet Ukraine to building companies in Web3 and AI, shedding light on how limitations often fuel innovation - and why the next big shift might be AI agents running your calendar and booking your flights.

💡 In this episode:- How AI is both expanding and complicating creative industries- Why automation creates more jobs than it takes

- if you know where to look

- The hidden cost of decision fatigue in the AI age

- Why voice actors and graphic designers still matter in an AI world

- The growing demand for backend AI agents in business operations

- What business owners really want from AI (hint: it’s not chatbots)

- The next frontier: Web3 as the infrastructure layer for autonomous agents

- And why meaning, not just efficiency, may become the new currency

Whether you're building with AI, overwhelmed by tech choices, or just curious about what’s next - this episode offers clarity, insight, and a few laughs along the way.

👀 Watch now, and tell us: Do you trust AI to make important decisions - or are some things still better left to us?

👇 share it with your friend who's deep in AI or building something big

🔔 Subscribe for more raw, insightful convos from the lab

In this deep-dive episode, Yugen sits down with Amnon Lotenberg - AI expert and NLP veteran - for a fascinating conversation on the real-world power and complexity of large language models (LLMs).

With decades of experience at the intersection of data science, product, and engineering, Amnon unpacks how LLMs are transforming the speed and scale of software development. Together, they explore the art and science of prompt engineering, the changing role of traditional machine learning, and how AI is reshaping not just industries - but careers.

This isn’t just a tech talk. It’s a reflection on responsibility, precision, and the evolving mindset required to harness AI tools effectively in the real world.

💡 Key Takeaways:

• Amnon Lotenberg’s journey through the evolution of AI and NLP.

• Why LLMs are accelerating application development like never before.

• The underestimated power of prompt engineering.

• Knowing when not to use LLMs: the importance of simplicity.

• The ongoing mystery behind how LLMs truly work.

• Navigating unintended consequences of AI tools.

• The shift in engineering roles in an AI-first world.

• The enduring relevance of traditional machine learning.

• How AI is transforming the job market across industries.

• Why lifelong learning is essential for anyone working with AI.
  

A must-listen for engineers, innovators, and anyone curious about where AI is headed-and how to stay ahead of the curve.

Chapters:

00:00 Introduction to AI and Amnon Luttenberg

03:10 Navigating the Buzz of LLMs

10:10 Real-World Applications of LLMs

16:14 Challenges in Implementing LLMs

21:01 Understanding LLMs: The Science Behind

25:00 The Role of Engineers in AI

32:12 Prompt Engineering Techniques

37:10 Relevance of Traditional ML Techniques

44:11 AI and the Future of Jobs

#AI #LLM #promptengineering #automation #healthcare #conversationalagents #machinelearning #technology #innovation

In this compelling episode of AI Language Lab, Yugen welcomes Roy Vella - CEO of Next CoLabs and a veteran at the intersection of deep tech, business, and innovation - for a no-fluff conversation about what AI really is, how it’s misunderstood, and where it’s taking us next.

From his early days in fintech to building tools that analyze meetings in real-time, Roy shares his sharp insights into large language models (LLMs), prompt design, and the biggest myths around AI today. He dives into the power of storytelling, the emerging world of personal AI agents, and why treating AI like a human (yes, saying “please”) might just get you better results.

💡 In this episode:

• Why LLMs are misunderstood - and what they actually do best

• How AI is more about augmentation than automation

• The rise of meeting intelligence tools and the future of hybrid work

• Why context beats content when prompting LLMs

• What “Joe,” Roy’s future personal AI agent, might be able to do soon

• Biological drives vs. machine intelligence - do smart machines need desires?

• The power of exponential tech and the limits of human intuition

• How to iterate, experiment, and really use AI to your advantage
  

Whether you're an AI beginner, tech leader, or lifelong learner - this episode will shift the way you think about LLMs, intelligence, and the future of human–machine collaboration.

#AILanguageLab #AIpodcast #RoyVella #ArtificialIntelligence #LLMs #GenerativeAI #PromptEngineering #AIForBusiness #TechPodcast