GenAI podcast

Out Now! Episode 25 - Navigating the AI Dichotomy: Embracing Technology A shout out to Jareth Reeves and Joao Dias as we recorded at the the AACE Region 9 Europe & Africa Symposium in London! Dale Foong, Alan Mosca, Greg Lawton, Val Matthews

Does Leadership need to change and what is the impact of AI on people? Loved the debate with Alan in this latest episode of GenAI podcast! You can find the full episode on Spotify, Apple, YouTube or wherever you get your podcasts. Give us a like, follow and subscribe while you're there!

Loved this chat with Alan about one person companies and how that will all pan out on our latest episode on the GenAI podcast! Have a listen on Spotify, Apple or wherever you get your podcasts. You can also search for GenAI podcast on YouTube. Give us a like, follow and subscribe; and let us know what you'd like to hear about!

Wondering how the fast moving world of AI is impacting AI software companies? I ask Alan and Greg on our latest episode what they are doing about it! 🎧 Listen wherever you get your podcasts or here: https://lnkd.in/ecd6v3My 👍 Give us a follow on GenAI podcast to to help us make it bigger and better!

What stage do you think AI is in? Greg gives us his view as we discuss the latest around AI news, views and updates. In this one Alan also gives us his take on AI versus AI Agent and Agentic AI. 🎧 Listen wherever you get your podcasts or here: https://lnkd.in/ecd6v3My 👍 Give us a follow on GenAI podcast to to help us make it bigger and better!

💥 In this episode of the GenAI podcast, Dale and Alan discuss the recent emergence of DeepSeek AI, a Chinese AI company that has made headlines for its innovative models and the misinformation surrounding them. They delve into the specifics of DeepSeek's models, including V3 and R1, and explore the implications of open-source technology in AI. The conversation also touches on the impact of misinformation on the market, the significance of reinforcement learning, and the myths surrounding artificial general intelligence (AGI). Throughout the discussion, they emphasize the importance of understanding the technology and encourage listeners to engage with AI tools directly. Takeaways 👀 DeepSeek is a Chinese hedge fund's research team focused on generative AI. 👀 The company has released multiple models, including V3 and R1, which are significant in the AI landscape. 👀 Misinformation about DeepSeek's capabilities has led to market fluctuations. 👀 Open-source technology allows for greater collaboration and innovation in AI. 👀 The distillation process helps create smaller, more efficient models from larger ones. 👀 Reinforcement learning is being used in new ways to enhance AI reasoning capabilities. 👀 The efficiency of AI models can lead to market growth and new applications. 👀 AGI remains a nebulous concept, and current models are not true AGI. 👀 Engagement with AI tools is crucial for understanding their capabilities and limitations. 👀 The conversation around AI is drawing more public interest and awareness. 🎧 Listen to the full pod here: https://lnkd.in/echwjpA7 🔗 DeepSeek on HuggingFace: https://lnkd.in/gGtVHRBH Chapters 00:00 Breaking News: The Emergence of DeepSeek 01:36 Understanding DeepSeek: The Basics 06:29 DeepSeek's Models: V3 and R1 Explained 12:46 Misinformation and Market Impact 15:24 Open Source: What Does It Mean? 20:19 The Distillation Process and Model Performance 27:38 Reinforcement Learning: A New Approach in AI 28:26 Human-Centric Model Training 29:50 Reinforcement Learning Breakthroughs 31:45 DeepMind's Influence on AI Development 33:50 Efficiency Gains in AI Training 35:51 The Future of AI Agents 37:48 Concerns Over Data Privacy 39:36 Debunking AGI Myths 44:02 The Road to True AGI 46:21 The Emergence of Zero-Person Companies 51:19 Navigating the Landscape of AI Content 54:42 Final Thoughts on AI's Future Don’t Forget to Share & Subscribe! Subscribe on YouTube and follow us on Spotify: 🐧 YouTube: https://lnkd.in/ePi5MH-s 🐧 Spotify: https://lnkd.in/evRN6EjX 🐧 Connect with us on LinkedIn: https://lnkd.in/emHiusXZ #AI #ProjectManagement #Technology #Innovation #FutureOfWork

💥 In this episode of the GenAI podcast, Dale and Alan discuss the recent emergence of DeepSeek AI, a Chinese AI company that has made headlines for its innovative models and the misinformation surrounding them. They delve into the specifics of DeepSeek's models, including V3 and R1, and explore the implications of open-source technology in AI. The conversation also touches on the impact of misinformation on the market, the significance of reinforcement learning, and the myths surrounding artificial general intelligence (AGI). Throughout the discussion, they emphasize the importance of understanding the technology and encourage listeners to engage with AI tools directly. Takeaways 👀 DeepSeek is a Chinese hedge fund's research team focused on generative AI. 👀 The company has released multiple models, including V3 and R1, which are significant in the AI landscape. 👀 Misinformation about DeepSeek's capabilities has led to market fluctuations. 👀 Open-source technology allows for greater collaboration and innovation in AI. 👀 The distillation process helps create smaller, more efficient models from larger ones. 👀 Reinforcement learning is being used in new ways to enhance AI reasoning capabilities. 👀 The efficiency of AI models can lead to market growth and new applications. 👀 AGI remains a nebulous concept, and current models are not true AGI. 👀 Engagement with AI tools is crucial for understanding their capabilities and limitations. 👀 The conversation around AI is drawing more public interest and awareness. 🎧 Listen to the full pod here: https://lnkd.in/echwjpA7 🔗 DeepSeek on HuggingFace: https://lnkd.in/gGtVHRBH Chapters 00:00 Breaking News: The Emergence of DeepSeek 01:36 Understanding DeepSeek: The Basics 06:29 DeepSeek's Models: V3 and R1 Explained 12:46 Misinformation and Market Impact 15:24 Open Source: What Does It Mean? 20:19 The Distillation Process and Model Performance 27:38 Reinforcement Learning: A New Approach in AI 28:26 Human-Centric Model Training 29:50 Reinforcement Learning Breakthroughs 31:45 DeepMind's Influence on AI Development 33:50 Efficiency Gains in AI Training 35:51 The Future of AI Agents 37:48 Concerns Over Data Privacy 39:36 Debunking AGI Myths 44:02 The Road to True AGI 46:21 The Emergence of Zero-Person Companies 51:19 Navigating the Landscape of AI Content 54:42 Final Thoughts on AI's Future Don’t Forget to Share & Subscribe! Subscribe on YouTube and follow us on Spotify: 🐧 YouTube: https://lnkd.in/ePi5MH-s 🐧 Spotify: https://lnkd.in/evRN6EjX 🐧 Connect with us on LinkedIn: https://lnkd.in/emHiusXZ #AI #ProjectManagement #Technology #Innovation #FutureOfWork Alan Mosca Dale Foong

Breaking News: DeepSeek AI Unpacked 🚨 Today, we dove into uncharted waters with an impromptu podcast episode all about DeepSeek—the revolutionary AI model shaking up the industry. From debunking myths to exploring its impact on AI innovation, ethics, and the future of work, we left no stone unturned. This was one of those conversations where the excitement in the room was electric —and we can't wait to share it with you! 📢 Episode drops soon! Get ready for insights, debates, and a closer look at what DeepSeek means for the future of artificial intelligence. Here’s a sneak peek of us in action, recording this episode—raw, real, and ready to demystify the buzz around DeepSeek. Stay tuned, and make sure to follow us so you don’t miss the release! 🎧 #AI #DeepSeek #Podcast #Innovation #BreakingNews #AIIndustry Alan Mosca Dale Foong Greg Lawton Val Matthews

Let's just leave this here... Full episode: https://lnkd.in/e54gzcek Dale Alan Greg Val

In this episode, Dale and Alan kick off Season Two by discussing the recent 500 billion dollar investment in AI announced in the US and its implications for data centers and technology. They explore the role of government in these investments, the future of major players like Apple and Oracle, and the importance of efficiency metrics in AI. The conversation also touches on productivity tools and innovations that are emerging in the AI landscape, as well as the potential shift from point solutions to more integrated agentic behaviors in technology. Takeaways 🧌 The 500 billion dollar investment is primarily aimed at building data centers and small modular reactors. 🧌 NVIDIA is a major beneficiary of the current AI investment landscape. 🧌 Government involvement in AI investments may be more about propaganda than actual funding. 🧌Apple has a strong machine learning group but tends to be cautious in its market approach. 🧌Efficiency in AI is driven by both hardware advancements and algorithm improvements. 🧌The concept of tokens per dollar per watt is crucial for understanding AI efficiency. 🧌Self-improvement in AI models is a key area of research and development. 🧌Productivity tools like Napkin and Devon are changing how we approach tasks and projects. 🧌The future of AI may see a shift towards integrated solutions rather than point solutions. 🧌The rapid evolution of technology means that staying informed is essential for professionals. Chapters 00:00 Welcome to Season Two 03:02 The 500 Billion Dollar Announcement 11:05 The Role of Government in AI Investments 13:18 The Future of AI and Data Centers 21:14 Understanding Tokens and Efficiency in AI 27:53 The Potential of Self-Improving AI Models 33:44 Emerging Tools and Productivity Hacks 40:54 The Future of Point Solutions in AI Don’t Forget to Share & Subscribe! Subscribe on YouTube and follow us on Spotify: 🐧 YouTube: https://lnkd.in/ePi5MH-s 🐧 Spotify: https://lnkd.in/evRN6EjX 🐧 Connect with us on LinkedIn: https://lnkd.in/emHiusXZ #AI #ProjectManagement #Technology #Innovation #FutureOfWork Greg Lawton Val Matthews