Project Flux

Send us Fan MailSummaryIn this episode of Project Flux, host James Garner welcomes back Anthony Slumbers, a thought leader in generative AI for real estate. The conversation explores the critical role of human thinking in the age of AI, the merging of human intelligence with technology, and the potential of AI as a superpower across various fields. They discuss the importance of critical thinking, the evolving nature of knowledge consumption, and the need to push AI models for deeper insights. The episode emphasizes the balance between leveraging AI and maintaining human cognitive skills.TakeawaysAI should not replace human thinking; we must engage critically.The future of work will involve merging human and AI capabilities.Critical thinking is essential in an AI-driven world.AI can enhance our problem-solving abilities if used wisely.There is a growing divide in how people consume knowledge.The democratization of knowledge is increasing through technology.Pushing AI models can yield surprising insights.Understanding AI's reasoning can improve our own thinking.We must not become cognitive misers reliant on AI outputs.Engaging deeply with AI can lead to better outcomes.Chapters00:00 The Impact of AI on Individuals01:14 The Role of Human Skills in an AI-Driven World02:28 Navigating the AI Landscape: Human vs. Machine02:56 The Future of Work and AI Integration03:25 The Balance Between AI and Human Interaction05:11 Key AI Tools for Professionals06:22 The Role of AI as a Virtual Mentor06:35 Teaching and Learning in the Age of AI07:32 Introduction and Technical Setup08:12 Exploring Skiffle and Energy Arc08:37 Introduction and Sponsorship Highlights09:00 Engagement and Community Building09:13 Unleash the Code Intro.wavLINKS AND STUFFANTHONY SLUMBERSSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryIn this conversation, James Garner and Antony Slumbers discuss the profound impact of AI on individuals and the workforce. They explore how individuals can future-proof themselves in a rapidly changing job market, emphasizing the importance of critical thinking, problem-solving, and human skills. The discussion also touches on the convergence of AI and human intelligence, the role of data literacy, and the ethical considerations surrounding AI. They highlight the need for businesses to innovate and adapt to new technologies while ensuring that humans remain at the center of decision-making. The conversation concludes with practical advice on how to effectively engage with AI tools and leverage them for personal and professional growth.TakeawaysAI will have a significant impact on individuals, not just companies.Future-proofing skills is essential for the younger workforce.Critical thinking and problem-solving are vital in an AI-driven world.Humans must maintain agency over AI technologies.Education systems need to adapt to the changing job landscape.Data literacy is becoming increasingly important.AI tools can enhance productivity and decision-making.The convergence of AI and human intelligence presents new opportunities.Ethical considerations in AI development are crucial for society.Engaging with AI as a thought partner can lead to better outcomes.Chapters00:00 The Impact of AI on Individuals52:44 The Role of Human Skills in an AI-Driven World52:46 Introduction and Technical Setup53:26 Exploring Skiffle and Energy Arc53:51 Unleash the Code Intro.wavLINKS and STUFFANTONY SLUMBERSSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailIn this episode of the Project Flux podcast, we discuss various topics surrounding AI advancements, including reflections on the recent Easter weekend, the implications of new AI models, power consumption concerns, and the importance of understanding AI benchmarks. They delve into the capabilities of Gemini's image segmentation and the innovative approach of Intuit Cells, which utilises a digital nervous system for learning. The conversation also touches on the growing need for AI governance and the appointment of chief AI officers in organisations, emphasising the importance of upskilling in the rapidly evolving AI landscape.TakeawaysAI models are becoming increasingly complex and powerful.Understanding AI benchmarks is crucial for evaluating performance.Gemini's new image segmentation capabilities enhance computer vision.Intuit Cells represents a novel approach to AI learning.Digital nervous systems allow AI to learn like humans.AI adoption requires proactive upskilling and governance.Chief AI officers are becoming essential in organisations.The landscape of AI is rapidly evolving with new models and tools.Continuous learning is key for both AI and human development.Chapters00:00 Easter Reflections and Weekend Vibes03:03 AI Models and Power Consumption06:05 OpenAI's New Models Explained09:17 Understanding AI Benchmarks12:06 Gemini's Image Segmentation Capabilities15:10 Intuit Cells: A New Approach to AI Learning21:28 AI in Robotics and Future Implications24:04 Governance and AI Adoption Trends27:49 Unleash the Code Intro.wavSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailIn this episode of the Project Flux podcast, we speak with JB Baker, the VP of Marketing and Product Management at ScaleFlux, about the critical role of storage in AI infrastructure. They discuss the importance of efficient data pipelines, the challenges posed by the memory wall, and the revolutionary concept of computational storage. JB emphasises the need for businesses to consider the full impact of AI deployment on their infrastructure, including storage and memory technologies. The conversation also touches on sustainability in AI, the future of quantum computing, and the potential of decentralised AI systems.TakeawaysEfficient data pipelines are crucial for maximizing GPU performance.The memory wall is a significant barrier to AI scalability.Computational storage can enhance data management efficiency.Businesses often overlook the importance of storage when investing in AI.AI workloads generate more data than traditional workloads.Query engineering is essential for effective AI model usage.Sustainability is a growing concern in AI infrastructure.The future of AI will involve specialized processors for specific tasks.Quantum computing presents both opportunities and challenges for AI.Decentralized AI systems may change the landscape of data processing.Chapters00:00 Introduction to Storage Challenges in AI04:14 The Data Pipeline: Bridging Storage and Processing07:20 Understanding Computational Storage10:14 Challenges in Implementing Advanced Storage Solutions13:18 Common Mistakes in AI Infrastructure Upgrades16:17 The Energy Demands of AI and Storage19:05 Navigating AI Querying and User Experience22:09 Balancing Innovation and Sustainability in AI Infrastructure26:55 The Future of Energy Consumption28:43 Innovations in Data Center Cooling30:26 Quantum Computing and Its Implications33:43 Exploring Alternative Computing Methods35:12 The Evolution of AI Infrastructure40:22 Decentralized AI and Edge Computing42:31 Emerging Technologies in Memory and Storage49:12 Introduction to Project Flux and Partnership49:42 Future of Project Management Insights49:57 Introduction and Sponsorship Highlights50:20 Engagement and Community Building50:33 Unleash the Code Intro.wavJB's Linked InSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailIn this episode of The Weekly Pulse, James and Yoshi discuss the latest advancements in AI technology, including the release of GPT 4.1, OpenAI's new memory features, and the competitive landscape of AI development in China and India. They also delve into the implications of Anthropic's Chain of Thought study and Google's latest innovations in cloud computing. The conversation highlights the rapid evolution of AI and the importance of understanding its capabilities and limitations.TakeawaysThe newsletter has been simplified for better digestibility.GPT 4.1 offers improved performance and larger context windows.OpenAI's memory upgrade allows for more personalized interactions.China is rapidly closing the AI performance gap with the US.Anthropic's study raises concerns about the reliability of reasoning models.AI models may prioritise authority over accuracy in responses.Google's new TPUs enhance efficiency for AI applications.AI grounding is crucial for reducing hallucinations in models.The competitive landscape in AI is evolving with new players like India.Continuous updates in AI technology make it challenging to keep up.Chapters00:00 Introduction to Project Flux and Newsletter Changes03:09 OpenAI's GPT 4.1 Release and Features06:18 OpenAI's Memory Upgrade and User Concerns09:05 AI Performance: Stanford's AI Index Report 202512:24 Anthropic's Study on Reasoning Models15:19 Google Cloud's New Developments and AI Capabilities33:00 Unleash the Code Intro.wavSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailIn this episode of the Project Flux podcast, we interview Alexander Budzier, a fellow in management practice at the University of Oxford. They discuss the critical aspects of project management, particularly the reasons behind project failures and the potential of AI to enhance project delivery. Budzier shares insights from his extensive research on project management, emphasising the importance of proper project setup, the challenges of data quality, and the evolving role of AI in the industry. The conversation also touches on the need for better knowledge sharing and the balance between human oversight and AI capabilities in project management.TakeawaysA well-set up project is not a guarantee for success, but a badly set up project is a guarantee for failure.Luck is not a leadership quality in project management.Data may be the new oil, but it can also be an oil spill if not managed properly.AI can help discover valuable insights from past projects.The uniqueness trap can lead to project overruns and failures.Improving how work gets done is essential for project success.The status quo in project management is not sufficient for future challenges.Measuring project outcomes effectively can lead to better decision-making.Knowledge sharing is crucial for project success and learning from past mistakes.AI can bridge the knowledge gap in project management.Chapters00:00 Introduction to Project Management Challenges01:58 The Journey into Project Management05:04 Understanding Project Failure07:17 Comparing IT and Civil Engineering Projects09:31 The Role of AI in Project Management11:57 The Impact of Knowledge Preservation14:56 Technical Debt in Project Management17:04 AI's Potential in Data Management19:26 Compliance and Regulation in Projects21:11 Data Sharing Challenges in the Industry24:54 Reflections on Progress in Project Management25:19 Evolving Collaboration in Project Management28:15 The Impact of AI on Project Delivery37:24 Balancing AI Autonomy and Human Oversight43:13 Key Lessons in Project Management46:33 Introduction to Project Flux and Partnership47:03 Future of Project Management Insights47:16 Introduction and Sponsorship Highlights47:39 Engagement and Community BuildingLinks and StuffAlexander's Linked InAlexander's Latest BookIntelligent Change SiteSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailIn this episode of the weekly pulse, James and Yoshi discuss the latest developments in artificial intelligence, focusing on DeepMind's AGI safety strategy, the implications of Meta's Llama 4 model, and the rise of AI agents like Manus. They explore the systemic risks associated with AGI, the importance of collaboration between traditional consultancies and AI companies, and how AI is reshaping entrepreneurship and project management.TakeawaysDeepMind's new paper emphasises AGI safety and security.The use of good AI to mitigate risks from bad AI is crucial.Systemic risks in AGI require a comprehensive approach.Preemptive strategies are necessary for managing AGI risks.Comparative analysis of AGI papers reveals different focuses on ethics and technology.Meta's Llama 4 model boasts the largest context length in AI.The mixture of experts approach enhances computational efficiency.AI collaboration is becoming essential in project management.Manus represents a significant advancement in AI agent capabilities.AI agents could revolutionize entrepreneurship and reduce risks. Chapters00:00 Introduction to AGI and DeepMind's Safety Strategy02:28 Understanding AGI Misuse and Misalignment Risks05:20 Systemic Approaches to AI Risk Management08:02 Comparative Analysis of AGI Papers08:59 Meta's Llama 4 and Its Implications13:48 The Future of AI Models and Democratization15:04 The Brain and AI: Neural Networks in Action15:59 The Evolution of AI: Collaboration Among Giants17:12 Meta's AI Landscape: Accessibility and Challenges18:14 AI Partnerships: Bridging Traditional and Modern Approaches19:08 The Role of AI in Project Management21:08 Navigating AI Collaborations: Risks and Opportunities23:32 The Rise of Manus: A New Type of AI Agent25:53 Agent Management: The Future of AI Interaction28:48 Micro Companies: The New Entrepreneurial Landscape32:36 Conclusion: Embracing AI for Future InnovationsSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailIn this episode of the Project Flux podcast, we speak with Lindsay Scott, co-founder of House of PMO, about the evolving role of PMOs in project management, the impact of AI, and the importance of data literacy. We discuss the professionalisation of PMOs, the need for curiosity and adaptability in the face of technological change, and the significance of understanding human psychology in leadership. Lindsay shares insights on how PMOs can leverage AI to enhance their effectiveness and the importance of continuous learning in the field.TakeawaysPMOs have evolved from administrative roles to strategic partners.AI is reshaping the PMO landscape and project management roles.Curiosity is crucial for PMO professionals to adapt to change.Data literacy is essential for PMOs to remain relevant.PMOs must balance governance with agility in project delivery.Psychology plays a significant role in leadership within project management.Continuous learning and adaptation are vital in the evolving project landscape.AI can help improve data quality and project insights.Engaging with AI can enhance decision-making and scenario planning.Chapters00:00 Introduction to PMOs and AI03:03 The Evolution of PMOs05:15 AI's Impact on Project Management10:05 Proactive Steps for PMOs with AI13:58 Data Literacy and PMOs18:40 The Future Role of PMOs in Data Management21:43 Engaging the Next Generation in PMO24:29 AI as a Catalyst for Change in PMO26:31 Reconciliation of PMO and AI28:48 Understanding Project Controls vs PMO30:37 The Role of Psychology in Leadership37:10 AI as a Thought Partner39:08 Curating Knowledge in the Age of AI44:07 Introduction to Project Flux and Partnership44:37 Future of Project Management Insights44:50 Introduction and Sponsorship Highlights45:13 Engagement and Community BuildingLinks and StuffLindsay's Linked InHouse of PMO WebsiteSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailIn this episode of Project Flux, James and Yoshi celebrate Yoshi's birthday and reflect on the past year of their podcast. They discuss the advancements in AI, particularly in image generation, and the controversies surrounding AI art. The conversation shifts to the competitive landscape of AI tools, including Google's Gemini, and the implications for project management. They explore the evolving role of AI in enhancing productivity and the challenges faced by project management software in a saturated market. Finally, they delve into the philosophical aspects of AI's impact on control and purpose in our lives, emphasising the need for a positive outlook on the future of technology.TakeawaysYoshi celebrates his 30th birthday, marking a new decade.AI image generation has made significant advancements, particularly with ChatGPT's new features.Controversies exist around AI art, especially regarding authenticity and copyright.AI tools are becoming essential in project management, but the market is saturated.Google's Gemini is a strong competitor in the AI landscape, offering impressive features.AI can enhance productivity by automating tasks and improving workflows.The project management software ecosystem is evolving, with many tools integrating AI capabilities.AI's role in society raises questions about control and purpose in our lives.A positive mindset towards AI can lead to better outcomes for society.The conversation highlights the importance of adapting to technological changes.Chapters00:00 Celebrating Milestones and New Beginnings02:21 The Rise of AI Image Generation05:56 Controversies in AI Art and Authenticity09:52 Sustainability Challenges in AI12:32 Google's Gemini: A New Contender15:04 Comparing AI Models: Performance and Usability15:22 OpenAI's Tiered Models and Integration with Google Drive18:10 Advancements in GPT-4 and Its Impact19:47 AI Project Management Tools: A New Era25:52 AI's Control Paradox and Human Dependency30:47 Reflections on AI's Future and Human PurposeSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailIn this episode of the Project Flux podcast, hosts James and Yoshi welcomes Alan Mosca, CTO of Nplan, for an in-depth discussion on the current state and future of AI, particularly in project management and construction. They explore the impatience surrounding AI adoption, the misconceptions about AI capabilities, and the importance of data literacy. Alan shares insights on the evolving role of AI in consultancies, the significance of understanding shadow systems, and the potential impact of robotics on the industry. The conversation also touches on the scaling hypothesis in AI and the future of scheduling with AI technologies.TakeawaysAI adoption is hindered by misconceptions and impatience.Proper context is crucial for effective AI prompts.AI should be treated as a colleague, not an all-knowing entity.The majority of AI prompts lack necessary detail.Gantt charts may become obsolete with AI advancements.Humans will transition to supervisory roles in AI-driven environments.Data literacy is becoming essential in organisations.Shadow systems hold valuable insights that are often overlooked.Reinforcement learning will enhance AI capabilities significantly.The future of scheduling will be transformed by AI technologies.Chapters00:00 Introduction to the Podcast and Guest02:17 The Impatience of AI Adoption03:32 Challenges in AI Understanding and Usage06:31 Hallucinations in AI: A Double-Edged Sword10:45 The Standards of AI vs. Human Performance12:12 Resistance to AI Adoption in Industries12:52 The Rise of Self-Proclaimed AI Experts15:33 Defining an AI Company17:28 The Future of AI-Powered Consultancies19:02 The Role of Large Institutions in an AI World22:21 The Noise of One-Person Companies24:05 The Homogenization of AI Content25:50 The Importance of Differentiation in AI Tools27:35 Accelerating Iteration Cycles with AI Tools30:12 The Role of AI in Development Operations31:26 The Push for AI Adoption in Education34:33 Understanding Shadow Systems in Project Management39:25 The Future of Data and AI Integration44:53 Exploring Operator Models and Their Impact49:09 Scaling Hypothesis and the Future of Intelligence53:39 The Role of Humanoid Robots in Project DeliveryLinks and StuffAlans Linked In - Follow for memes!Sign up for NPlan's Schedule Studio Beta HereSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.