In this episode of the GenAI podcast, Dale and Alan discuss the recent emergence of DeepSeek, 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.

DeepSeek on HuggingFace: https://huggingface.co/deepseek-ai/DeepSeek-R1

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: www.youtube.com/@GenAIPodcast 🐧 Spotify: https://open.spotify.com/show/7vj7VdckiifSuyVc9EV0SB?si=078f3747c26e4d61 🐧 Connect with us on LinkedIn: https://www.linkedin.com/company/gen-ai-podcast #AI #ProjectManagement #Technology #Innovation #FutureOfWork

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: www.youtube.com/@GenAIPodcast 🐧 Spotify: https://open.spotify.com/show/7vj7VdckiifSuyVc9EV0SB?si=078f3747c26e4d61 🐧 Connect with us on LinkedIn: https://www.linkedin.com/company/gen-ai-podcast #AI #ProjectManagement #Technology #Innovation #FutureOfWork

In this Christmas special episode of the Gen AI podcast, the hosts reflect on the significant developments in AI over the past year, discussing trends, predictions, and the impact of AI agents and quantum computing on various industries. They explore the evolution of project controls and the future of work, emphasizing the need to embrace change and uncertainty as opportunities for growth.

Takeaways

🤶 2023 has been a year of clarity in AI. 🤶 The emergence of AI agents will redefine job roles. 🤶 Quantum computing presents both opportunities and challenges. 🤶 The demand for data centers is increasing rapidly. 🤶 AI will change the way project controls are executed. 🤶 Embracing uncertainty can lead to significant opportunities. 🤶 The future of work will involve more AI integration. 🤶 Companies are beginning to see AI as a cost-saving measure. 🤶 The evolution of technology will drive societal change. 🤶 The importance of adapting to new technologies is crucial.

Chapters

00:00 Christmas Special: Reflecting on the Journey

10:29 The Rise of Custom GPTs and AI Applications

21:30 The Intersection of AI and Robotics

28:15 Looking Ahead: The Future of AI and Society

34:15 The Shift in Project Controls

42:50 The Commoditization of Project Controls

48:56 The Mentality of Change and Opportunity

Don’t Forget to Share & Subscribe! Subscribe on YouTube and follow us on Spotify: 🐧 YouTube: www.youtube.com/@GenAIPodcast 🐧 Spotify: https://open.spotify.com/show/7vj7VdckiifSuyVc9EV0SB?si=078f3747c26e4d61 🐧 Connect with us on LinkedIn: https://www.linkedin.com/company/gen-ai-podcast #AI #ProjectManagement #Technology #Innovation #FutureOfWork

🎙️ Welcome to Episode 19 of the Gen AI Podcast!

Strap in, folks, because Dale and Greg are back from their whirlwind tour of global conferences, and they’re serving up insights hotter than your in-flight meal (assuming they didn’t run out of chicken). This week, we dive deep into the wild world of AI adoption in project management, the construction industry’s so-called productivity crisis, and, of course, a healthy dose of existential musing about human emotion and perception.

00:00 – Intro
Dale and Greg catch up after their globetrotting adventures and reflect on the joys and perils of business travel. (Spoiler: Being home for Christmas wins every time.)

05:10 – Automation vs. Generation
Greg breaks down AI for the everyday project professional: is it about automation or creation? Dale tries to simplify it with math, but Greg takes it a step deeper (cue existential dichotomy).

11:50 – Planes, Pilots, and AI Pals
Would you board a pilotless plane? Dale’s audience poll reveals trust issues with AI—even though it flies better than your average junior planner.

16:30 – Perception in Project Management
Whoever controls the narrative controls the room. Dale and Greg unpack why perception shapes project success more than hard data ever will.

24:00 – Misconceptions About the Construction Industry
Is construction really broken? Greg debunks two big myths:

1. "Most projects fail."
2. "Construction productivity hasn’t improved in decades."
   (Also featuring chocolate and death—stay tuned for the correlation!)

33:00 – Selling Project Controls: Safety and Comfort
Greg explains how great project controls create emotional safety, comfort, and a dash of excitement for stakeholders. And no, it’s not about the size of your PMO team; it’s about the value of your insights.

40:20 – Addictive AI and Virtual Companions
Consumer AI is getting personal—sometimes a little too personal. Greg explores how addictive design might shape the next wave of AI interactions (including virtual "companions").

49:10 – The Year in Review
Dale and Greg reflect on their first year of podcasting, the experiment of zero guests, and their plans to close the year strong with Episode 20. Will they finally get all four hosts together? (Probably not.)

51:30 – Greg’s Closing Thoughts
A heartfelt thank-you to listeners for joining this pub chat with mics. Cheers to more debates, discussions, and maybe even some guests in the new year!

Listener Challenge
Think we’re wrong? Tell us! Dale and Greg love a good debate—especially if it involves whiskey and arguments about project controls.

Don’t Forget to Share & Subscribe!
We’re wrapping up the year soon with our 20th episode—help us go out with a bang (or at least more downloads than Greg’s frequent flyer miles).

Subscribe on YouTube and follow us on Spotify: 🐧 YouTube: www.youtube.com/@GenAIPodcast 🐧 Spotify: https://open.spotify.com/show/7vj7VdckiifSuyVc9EV0SB?si=078f3747c26e4d61 🐧 Connect with us on LinkedIn: https://www.linkedin.com/company/gen-ai-podcast #AI #ProjectManagement #Technology #Innovation #FutureOfWork

In this episode, Dale and Alan reflect on the journey of the GenAI podcast and the progress of AI and tech. They discuss the current status of the AI market and the jitteriness of investors. Alan shares his opinion on the unrealistic expectations and impatience in the market. They also explore the lag in upskilling and adoption of AI, comparing it to the early days of the internet. They discuss the future delivery of AI as a product and the potential decline of software as a service (SaaS) in favor of AI interfaces that reduce friction. The conversation explores the future of user interfaces and the potential impact of AI on software as a service (SaaS) products. The speakers discuss the increasing importance of email and the desire for more efficient interfaces. They consider the possibility of moving away from visual interfaces and relying more on voice interactions. They also discuss the potential for AI-powered assistants to replace traditional user interfaces in SaaS products, using Procore as an example. The conversation highlights the importance of time and patience in the development and adoption of AI technology.

Takeaways

• The AI market is experiencing jitteriness and unrealistic expectations from investors, leading to volatile stock prices.
• The adoption of AI is a long process, similar to the early days of the internet, and requires patience and time for upskilling.
• Software as a service (SaaS) may decline as AI interfaces that reduce friction become more prevalent.
• AI will be delivered as a product through interfaces that allow users to interact with AI systems using natural language or voice commands. Email continues to be important and there is a desire for more efficient interfaces.
• Voice interactions may become more prevalent, reducing the need for visual interfaces.
• AI-powered assistants have the potential to replace traditional user interfaces in SaaS products.
• The development and adoption of AI technology require time and patience.

Chapters

• 00:00 Introduction and Reflection on the Podcast Journey
• 02:13 The Jitteriness of the AI Market
• 04:33 The Lag in Upskilling and Adoption of AI
• 09:14 The Demise of Software as a Service (SaaS)
• 12:04 The Future of AI Delivery: Voice Commands
• 25:11 The Importance of Email and Desire for Efficient Interfaces
• 28:35 Redefining Software as a Service
• 33:22 The Future of User Interfaces
• 35:18 Adoption of AI and the Need for Patience

Subscribe on YouTube and follow us on Spotify: 🐧 YouTube: www.youtube.com/@GenAIPodcast 🐧 Spotify: https://open.spotify.com/show/7vj7VdckiifSuyVc9EV0SB?si=078f3747c26e4d61 🐧 Connect with us on LinkedIn: https://www.linkedin.com/company/gen-ai-podcast #AI #ProjectManagement #Technology #Innovation #FutureOfWork

In this episode, Dale and Alan discuss the application of AI in engineering design. They explore the idea of a roadmap for AI in design, from AI-aided design to autonomous agents creating designs. They also discuss the need for healthy data for AI to consume in order to produce accurate and reliable designs. The conversation touches on the role of humans in the design process and the importance of responsible engineers. They also speculate on the potential future of AI in engineering design, including AI agents controlling robots on construction sites. In this conversation, Alan and Dale discuss the use of blockchain technology in design and the potential threats it poses. They also explore the concept of predetermined outcomes and the role of AI in the design process. They discuss the idea of AI replacing human jobs, particularly in project controls, and the need for humans to find new roles and add value. They emphasize the importance of critical thinking and curiosity in embracing AI and encourage listeners to share their perspectives and challenge others in a respectful manner.

Takeaways 🍣 AI is being taken seriously by governing bodies in engineering, with organizations and associations focusing on AI in design. 🍣 A roadmap for AI in design could involve transitioning from AI-aided design to autonomous agents creating designs. 🍣 Healthy data is crucial for AI to produce accurate and reliable designs. 🍣 The role of humans, particularly responsible engineers, will still be important in the design process. 🍣 The future of AI in engineering design could involve AI agents controlling robots on construction sites. The use of blockchain technology in design raises concerns about accessibility and security. 🍣 AI can assist in predicting and optimizing outcomes in the design process. 🍣 Humans play a crucial role in setting goals and determining the intent of AI optimization. 🍣 AI has the potential to replace repetitive and mundane tasks in project controls, allowing professionals to focus on value-added decision-making. 🍣 Embracing AI requires critical thinking, curiosity, and a willingness to challenge existing beliefs and practices. 🍣 Spreading awareness and engaging in discussions about AI can help drive change and adoption in the workplace.

Chapters

02:08 The Importance of AI in Engineering Design

04:53 The Need for Healthy Data in AI-Assisted Design

07:55 The Future of AI in Engineering Design: AI Agents and Robotics

15:40 AI in the Delivery Phase

21:45 The Role of Responsibility in AI-Designed Projects

23:31 Blockchain Technology in Design

26:28 AI's Role in the Design Process

28:08 Predetermined Outcomes

30:37 AI as a Companion in Professional Roles

32:30 Embracing AI and Spreading Awareness

Subscribe on YouTube and follow us on Spotify: 🐧 YouTube: www.youtube.com/@GenAIPodcast 🐧 Spotify: https://open.spotify.com/show/7vj7VdckiifSuyVc9EV0SB?si=078f3747c26e4d61 🐧 Connect with us on LinkedIn: https://www.linkedin.com/company/gen-ai-podcast #AI #ProjectManagement #Technology #Innovation #FutureOfWork

In this episode, Dale, Greg, and Alan discuss the importance of defining terms and understanding terminology in the context of AI. They emphasize the need for clear and simple definitions that are exclusionary and quantifiable. They also explore the challenges of defining subjective terms like 'good AI' and the importance of critical thinking and seeking diverse sources of information. The conversation highlights the need to adapt and diversify skills in the face of AI's impact on various industries and professions.

Takeaways

🍣 Clear and simple definitions are crucial for effective communication and understanding in the field of AI.

🍣 Subjective terms like 'good AI' require context and agreement among stakeholders.

🍣 Critical thinking and seeking diverse sources of information are essential for forming well-informed opinions about AI.

🍣 Adapting and diversifying skills is important to stay ahead in the changing landscape of AI and its impact on industries and professions.

Chapters

01:29 Toying with Character AI and Feedback on Governance as a Service

06:38 The Ambiguity of Definitions and Opinions on AI

09:33 The Importance of Critical Thinking and Seeking Diverse Sources

18:13 Preparing for the Potential Impact of AI on Careers and Industries

29:48 The Uncertainty of Predicting the Future of AI

39:12 Diversifying Sources of Information and Adapting to Change

Subscribe on YouTube and follow us on Spotify: 🐧 YouTube: www.youtube.com/@GenAIPodcast 🐧 Spotify: https://open.spotify.com/show/7vj7VdckiifSuyVc9EV0SB?si=078f3747c26e4d61 🐧 Connect with us on LinkedIn: https://www.linkedin.com/company/gen-ai-podcast #AI #ProjectManagement #Technology #Innovation #FutureOfWork

In this episode, Dale and Greg discuss the concept of governance as a service (GAAS) and its potential impact on the industry. They explore the automation, predictive AI, and generative AI features of Nodes and Links and other tools, highlighting the benefits of these tools in simplifying processes, improving risk assessment, and enhancing productivity. They also touch on the challenges of defining and measuring culture in the context of AI. Overall, the conversation emphasizes the importance of specificity and tailoring AI solutions to meet the unique needs of different industries and organizations.

Takeaways

🥯 Governance As A Service (GAAS) is an emerging concept that aims to automate and streamline reporting, analytics, and decision-making processes in organizations.

🥯 Nodes and Links, a project management platform, offers automation, predictive AI, and generative AI features to simplify processes, improve risk assessment, and enhance productivity.

🥯 Defining and measuring culture in the context of AI is a complex challenge that requires considering the decisions people make on a day-to-day basis.

🥯 AI solutions should be tailored to meet the specific needs of different industries and organizations, taking into account the unique challenges and requirements they face.

🥯 While true general artificial intelligence (AGI) may not exist in the near future, AI technologies can still provide significant value by automating tasks, providing insights, and improving decision-making processes.

Chapters

02:37 Self-Service Reporting and the Future of the Industry

10:01 Benefits of Governance as a Service (GaaS)

18:22 The Importance of Guide Rails and Speed Bumps in Governance

22:00 Challenges in Venturing into New Markets

24:50 The Risk of Fake Checks and Online Banking

28:50 Defining Governance as a Service (GaaS)

31:25 GaaS: Making Lives Easier on Projects

33:43 The Limitations of General Artificial Intelligence (AGI)

37:48 Automation in GaaS

40:44 The Difference Between GaaS and ChatGPT

43:54 The Future of AGI and Human Rights

Subscribe on YouTube and follow us on Spotify: 🐧 YouTube: www.youtube.com/@GenAIPodcast 🐧 Spotify: https://open.spotify.com/show/7vj7VdckiifSuyVc9EV0SB?si=078f3747c26e4d61 🐧 Connect with us on LinkedIn: https://www.linkedin.com/company/gen-ai-podcast #AI #ProjectManagement #Technology #Innovation #FutureOfWork