Weekly Pulse /Ep.5/ Balancing Innovation and Regulation in AI

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Action Academy | Replace The Job You Hate With A Life You Love

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How To Replace A $100,000+ Salary Within 6 MONTHS Through Buying A Small Business w/ Alex Kamenca & Carley Mitus 57:50

52 weeks ago57:50

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57:50

Alex (@alex_kamenca) and Carley (@carleymitus) are both members of our Action Academy Community that purchased TWO small businesses last thursday! Want To Quit Your Job In The Next 6-18 Months Through Buying Commercial Real Estate & Small Businesses? 👔🏝️ Schedule A Free 15 Minute Coaching Call With Our Team Here To Get "Unstuck" Want to know which investment strategy is best for you? Take our Free Asset-Selection Quiz Check Out Our Bestselling Book : From Passive To Passionate : How To Quit Your Job - Grow Your Wealth - And Turn Your Passions Into Profits Want A Free $100k+ Side Hustle Guide ? Follow Me As I Travel & Build: IG @brianluebben ActionAcademy.com…

about a year ago 33:18

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Summary
In this episode of the Weekly Pulse, James and Yoshi discuss the UK government's approach to AI regulation, the latest developments from OpenAI, and the potential impact of AI on industries like construction and data analysis. They highlight the importance of striking a balance between innovation and regulation, as well as the need for standards and frameworks in AI development. They also explore the challenges of automating processes and the potential consequences of adopting AI solutions without fully understanding their implications. The conversation touches on the growing trend of more affordable and efficient AI models, as well as the potential for AI to autonomously conduct research and provide insights.
Takeaways

Striking a balance between innovation and regulation is crucial in the development of AI.
Standards and frameworks are necessary to ensure the safe and ethical deployment of AI.
Automating processes with AI can have consequences, and careful consideration should be given to the impact on jobs and workflows.
The development of more affordable and efficient AI models is making AI more accessible to consumers.
AI models like GPT-5 and Strawberry are pushing the boundaries of AI capabilities, including autonomous research and reasoning.

Sound Bites
"Striking a balance between innovation, but also developing safely and ethically is a balance which can be quite difficult to attain."
"There's companies going in and taking on these tech solutions without fully thinking through the consequences of their actions."
"More adoption of computer vision-based technologies within AI development."
Chapters
00:00 Introduction and Holiday Recap
06:11 UK Government's Approach to AI Regulation
17:10 AI in Construction: BuildDots and Automation
23:25 OpenAI's Latest Developments: GPT-5 and Strawberry
29:37 Microsoft's Spreadsheet Language Model
34:18 Closing Remarks
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1. Weekly Pulse /Ep.5/ Balancing Innovation and Regulation in AI (00:00:00)

2. [Ad] Everyday AI: Your daily guide to grown with Generative AI (00:24:04)

3. (Cont.) Weekly Pulse /Ep.5/ Balancing Innovation and Regulation in AI (00:24:51)

72 episod

#Tech #Business #News #Tech News #Project Flux #Text Messages

Project Flux

Weekly Pulse /Ep.5/ Balancing Innovation and Regulation in AI

Project Flux

published about a year ago

Kongsi

MP3•Laman utama episod

Send us a text

Striking a balance between innovation and regulation is crucial in the development of AI.
Standards and frameworks are necessary to ensure the safe and ethical deployment of AI.
Automating processes with AI can have consequences, and careful consideration should be given to the impact on jobs and workflows.
The development of more affordable and efficient AI models is making AI more accessible to consumers.
AI models like GPT-5 and Strawberry are pushing the boundaries of AI capabilities, including autonomous research and reasoning.

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!

Bab

1. Weekly Pulse /Ep.5/ Balancing Innovation and Regulation in AI (00:00:00)

2. [Ad] Everyday AI: Your daily guide to grown with Generative AI (00:24:04)

3. (Cont.) Weekly Pulse /Ep.5/ Balancing Innovation and Regulation in AI (00:24:51)

72 episod

#Tech #Business #News #Tech News #Project Flux #Text Messages

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Project Flux

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The 4 Super Skills That Will Save Your Career from AI 8:53

7 hours ago8:53

8:53

Send us a text Summary In 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. Takeaways AI 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. Chapters 00:00 The Impact of AI on Individuals 01:14 The Role of Human Skills in an AI-Driven World 02:28 Navigating the AI Landscape: Human vs. Machine 02:56 The Future of Work and AI Integration 03:25 The Balance Between AI and Human Interaction 05:11 Key AI Tools for Professionals 06:22 The Role of AI as a Virtual Mentor 06:35 Teaching and Learning in the Age of AI 07:32 Introduction and Technical Setup 08:12 Exploring Skiffle and Energy Arc 08:37 Introduction and Sponsorship Highlights 09:00 Engagement and Community Building 09:13 Unleash the Code Intro.wav LINKS AND STUFF ANTHONY SLUMBERS Subscribe 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 Data Analytics Taskforce site…

Project Flux

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The 4 Super Skills That Will Save Your Career from AI 51:24

1 day ago51:24

51:24

Send us a text Summary In 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. Takeaways AI 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. Chapters 00:00 The Impact of AI on Individuals 52:44 The Role of Human Skills in an AI-Driven World 52:46 Introduction and Technical Setup 53:26 Exploring Skiffle and Energy Arc 53:51 Unleash the Code Intro.wav LINKS and STUFF ANTONY SLUMBERS Subscribe 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 Data Analytics Taskforce site…

Project Flux

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The Weekly Pulse - The Power of AI Models 26:44

4 days ago26:44

26:44

Send us a text In 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. Takeaways AI 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. Chapters 00:00 Easter Reflections and Weekend Vibes 03:03 AI Models and Power Consumption 06:05 OpenAI's New Models Explained 09:17 Understanding AI Benchmarks 12:06 Gemini's Image Segmentation Capabilities 15:10 Intuit Cells: A New Approach to AI Learning 21:28 AI in Robotics and Future Implications 24:04 Governance and AI Adoption Trends 27:49 Unleash the Code Intro.wav Subscribe 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 Data Analytics Taskforce site…

Project Flux

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Why AI Models Are Choking — And How to Fix It 45:16

9 days ago45:16

45:16

Send us a text In 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. Takeaways Efficient 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. Chapters 00:00 Introduction to Storage Challenges in AI 04:14 The Data Pipeline: Bridging Storage and Processing 07:20 Understanding Computational Storage 10:14 Challenges in Implementing Advanced Storage Solutions 13:18 Common Mistakes in AI Infrastructure Upgrades 16:17 The Energy Demands of AI and Storage 19:05 Navigating AI Querying and User Experience 22:09 Balancing Innovation and Sustainability in AI Infrastructure 26:55 The Future of Energy Consumption 28:43 Innovations in Data Center Cooling 30:26 Quantum Computing and Its Implications 33:43 Exploring Alternative Computing Methods 35:12 The Evolution of AI Infrastructure 40:22 Decentralized AI and Edge Computing 42:31 Emerging Technologies in Memory and Storage 49:12 Introduction to Project Flux and Partnership 49:42 Future of Project Management Insights 49:57 Introduction and Sponsorship Highlights 50:20 Engagement and Community Building 50:33 Unleash the Code Intro.wav JB's Linked In Subscribe 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 Data Analytics Taskforce site…

Project Flux

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The Weekly Pulse - Exploring GPT 4.1 and Its Impact 31:43

11 days ago31:43

31:43

Send us a text In 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. Takeaways The 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. Chapters 00:00 Introduction to Project Flux and Newsletter Changes 03:09 OpenAI's GPT 4.1 Release and Features 06:18 OpenAI's Memory Upgrade and User Concerns 09:05 AI Performance: Stanford's AI Index Report 2025 12:24 Anthropic's Study on Reasoning Models 15:19 Google Cloud's New Developments and AI Capabilities 33:00 Unleash the Code Intro.wav Subscribe 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 Data Analytics Taskforce site…

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Is Your Project Set Up to Fail? Alexander Budzier on the Truth About Delivery 48:06

16 days ago48:06

48:06

Send us a text In 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. Takeaways A 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. Chapters 00:00 Introduction to Project Management Challenges 01:58 The Journey into Project Management 05:04 Understanding Project Failure 07:17 Comparing IT and Civil Engineering Projects 09:31 The Role of AI in Project Management 11:57 The Impact of Knowledge Preservation 14:56 Technical Debt in Project Management 17:04 AI's Potential in Data Management 19:26 Compliance and Regulation in Projects 21:11 Data Sharing Challenges in the Industry 24:54 Reflections on Progress in Project Management 25:19 Evolving Collaboration in Project Management 28:15 The Impact of AI on Project Delivery 37:24 Balancing AI Autonomy and Human Oversight 43:13 Key Lessons in Project Management 46:33 Introduction to Project Flux and Partnership 47:03 Future of Project Management Insights 47:16 Introduction and Sponsorship Highlights 47:39 Engagement and Community Building Links and Stuff Alexander's Linked In Alexander's Latest Book Intelligent Change Site Subscribe 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 Data Analytics Taskforce site…

Project Flux

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The Weekly Pulse - Exploring AGI Safety with DeepMind 33:26

18 days ago33:26

33:26

Send us a text In 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. Takeaways DeepMind'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. Chapters 00:00 Introduction to AGI and DeepMind's Safety Strategy 02:28 Understanding AGI Misuse and Misalignment Risks 05:20 Systemic Approaches to AI Risk Management 08:02 Comparative Analysis of AGI Papers 08:59 Meta's Llama 4 and Its Implications 13:48 The Future of AI Models and Democratization 15:04 The Brain and AI: Neural Networks in Action 15:59 The Evolution of AI: Collaboration Among Giants 17:12 Meta's AI Landscape: Accessibility and Challenges 18:14 AI Partnerships: Bridging Traditional and Modern Approaches 19:08 The Role of AI in Project Management 21:08 Navigating AI Collaborations: Risks and Opportunities 23:32 The Rise of Manus: A New Type of AI Agent 25:53 Agent Management: The Future of AI Interaction 28:48 Micro Companies: The New Entrepreneurial Landscape 32:36 Conclusion: Embracing AI for Future Innovations Subscribe 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 Data Analytics Taskforce site…

Project Flux

1
AI Will Change Your Role - Here's How to Stay Relevant with Lindsay Scott 45:40

23 days ago45:40

45:40

Send us a text In 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. Takeaways PMOs 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. Chapters 00:00 Introduction to PMOs and AI 03:03 The Evolution of PMOs 05:15 AI's Impact on Project Management 10:05 Proactive Steps for PMOs with AI 13:58 Data Literacy and PMOs 18:40 The Future Role of PMOs in Data Management 21:43 Engaging the Next Generation in PMO 24:29 AI as a Catalyst for Change in PMO 26:31 Reconciliation of PMO and AI 28:48 Understanding Project Controls vs PMO 30:37 The Role of Psychology in Leadership 37:10 AI as a Thought Partner 39:08 Curating Knowledge in the Age of AI 44:07 Introduction to Project Flux and Partnership 44:37 Future of Project Management Insights 44:50 Introduction and Sponsorship Highlights 45:13 Engagement and Community Building Links and Stuff Lindsay's Linked In House of PMO Website Subscribe 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 Data Analytics Taskforce site…

Project Flux

1
The Weekly Pulse : AI generated art shows us culture. 32:01

25 days ago32:01

32:01

Send us a text In 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. Takeaways Yoshi 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. Chapters 00:00 Celebrating Milestones and New Beginnings 02:21 The Rise of AI Image Generation 05:56 Controversies in AI Art and Authenticity 09:52 Sustainability Challenges in AI 12:32 Google's Gemini: A New Contender 15:04 Comparing AI Models: Performance and Usability 15:22 OpenAI's Tiered Models and Integration with Google Drive 18:10 Advancements in GPT-4 and Its Impact 19:47 AI Project Management Tools: A New Era 25:52 AI's Control Paradox and Human Dependency 30:47 Reflections on AI's Future and Human Purpose Subscribe 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 Data Analytics Taskforce site…

Project Flux

1
The Industry That Hired All the Wrong People for the AI Age - Alan Mosca from nPlan 1:01:41

4 weeks ago1:01:41

1:01:41

Send us a text In 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. Takeaways AI 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. Chapters 00:00 Introduction to the Podcast and Guest 02:17 The Impatience of AI Adoption 03:32 Challenges in AI Understanding and Usage 06:31 Hallucinations in AI: A Double-Edged Sword 10:45 The Standards of AI vs. Human Performance 12:12 Resistance to AI Adoption in Industries 12:52 The Rise of Self-Proclaimed AI Experts 15:33 Defining an AI Company 17:28 The Future of AI-Powered Consultancies 19:02 The Role of Large Institutions in an AI World 22:21 The Noise of One-Person Companies 24:05 The Homogenization of AI Content 25:50 The Importance of Differentiation in AI Tools 27:35 Accelerating Iteration Cycles with AI Tools 30:12 The Role of AI in Development Operations 31:26 The Push for AI Adoption in Education 34:33 Understanding Shadow Systems in Project Management 39:25 The Future of Data and AI Integration 44:53 Exploring Operator Models and Their Impact 49:09 Scaling Hypothesis and the Future of Intelligence 53:39 The Role of Humanoid Robots in Project Delivery Links and Stuff Alans Linked In - Follow for memes! Sign up for NPlan's Schedule Studio Beta Here Subscribe 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 Data Analytics Taskforce site…

Project Flux

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The Weekly Pulse - Claude's Real-Time Search: A Game Changer 32:47

5 weeks ago32:47

32:47

Send us a text In this episode of the Weekly Pulse, Yoshi and James discuss James's recent holiday and his return to the world of AI and technology. They delve into the latest advancements in AI, particularly focusing on Claude's new real-time web search capabilities and Anthropic's innovative features. The conversation shifts to NVIDIA's significant strides in physical AI and robotics, exploring how these technologies are evolving and their implications for the future. They also touch on the investment trends in AI infrastructure and the philosophical aspects of human-robot convergence. The episode concludes with a discussion on the role of AI in enhancing critical thinking and problem-solving in project management. Takeaways James enjoyed a tech-free holiday, returning curious about AI updates. Claude's new web search feature enhances real-time data access. Anthropic's innovations position it competitively in the AI landscape. Contextual understanding in AI can improve project management. NVIDIA's advancements signal a shift towards physical AI applications. Robotics is evolving beyond humanoid forms to specialised functions. Investment in AI infrastructure is increasing significantly. The convergence of humans and robots raises philosophical questions. AI can enhance critical thinking and problem-solving capabilities. AI journaling apps can serve as thought partners for professionals. Chapters 00:00 Introduction and Holiday Reflections 02:41 AI Developments: Claude's New Features 05:32 Anthropic's Innovative Tools and Their Impact 08:14 Deep Research and Its Role in Project Contexts 11:08 NVIDIA's Advancements in AI and Robotics 13:53 The Future of Physical AI and Collaborative Innovations 16:51 The Evolution of Robotics and AI 19:49 Authenticity in Robot Interactions 21:40 Investment in AI Infrastructure 23:41 The Future of Humanoid Robots 26:26 AI and Human Convergence 28:29 AI's Problem-Solving Capabilities 31:45 Closing Thoughts and Future Insights Subscribe 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 Data Analytics Taskforce site…

Project Flux

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Revolutionising Cost Management: AI, Digital Twins & the Future of QS 43:59

5 weeks ago43:59

43:59

Send us a text In this episode of the Project Flux podcast, James and Yoshi speaks with Dr. Bola Abisogun and Patrick King about the transformative impact of AI and digital twins on the construction industry. They discuss the challenges of innovation, the role of quantity surveyors, and the importance of real-time data in project management. The conversation highlights the need for a shift in attitudes towards technology and the necessity of intergenerational collaboration to bridge the skills gap in the industry. Takeaways The construction industry has been slow to adopt innovation, leading to a need for disruption. Digital twins can significantly improve project management and safety. AIQS aims to centralise data for better decision-making in construction projects. Real-time data is crucial for effective risk management and cost control. The role of quantity surveyors is evolving towards becoming cost managers rather than just estimators. Intergenerational collaboration can enhance skills development in the industry. The skills gap in construction is widening, necessitating urgent action. Attitudes towards innovation must change for the industry to progress. AI can enhance accuracy and speed in project management. The future of quantity surveying will rely on embracing technology and data-driven decision-making. Chapters 00:00 Introduction to Project Flux Podcast and Guests 02:22 Dr. Bola Abisogun: Journey to Disruption 06:10 The Birth of AIQS and Its Purpose 10:46 Understanding AIQS: A New Era in Cost Management 16:19 Digital Twins and Their Impact on Construction 22:05 The Future of QS: Embracing Change and Innovation 23:30 The Slow Pace of Digital Transformation 24:08 Lessons from Past Digital Transformations 26:21 The Skills Gap in the Industry 27:41 Intergenerational Learning and Collaboration 29:08 Embracing AI in Cost Management 30:15 The Future of Quantity Surveying 34:29 The Evolving Role of QS in Construction 36:54 AI's Impact on Traditional QS Roles 39:36 Changing Attitudes Towards Innovation 41:14 A Vision for the Future of Construction 42:29 Introduction and Sponsorship Highlights 42:51 Engagement and Community Building 43:05 Introduction to Project Flux and PMG Partnership Links and Stuff Bola's Linked in Digital Twins Skills Academy Subscribe 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 Data Analytics Taskforce site…

Project Flux

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The Weekly Pulse : Project Flux - New Developments and Updates 27:05

6 weeks ago27:05

27:05

Send us a text In this episode of the Weekly Pulse, hosts James and Yoshi discuss their recent in-person podcast experience, updates on Project Flux, and the latest developments in AI technology. They explore the significance of new tools from OpenAI, the rise of cost-effective AI models, and the implications of local AI models for security. The conversation also delves into the ethical considerations of AI in military applications and the future of human-machine integration. Takeaways In-person podcasts enhance conversation dynamics. Project Flux has launched a new website. Investments in quality equipment improve podcast experience. AI developments are progressing, but major announcements are sparse. Cost-effective AI models are emerging from China. OpenAI's new tools aim to simplify agent creation. Local AI models address security concerns for organizations. AI in military applications raises ethical questions. Knowledge about AI tools empowers professionals. The future may see deeper integration of AI and humans. Chapters 00:00 Introduction and Conference Insights 03:05 Website Launch and New Developments 06:11 AI Developments and Global Competition 09:05 OpenAI's New Agent Tools 12:18 Google's Gemma and Local AI Models 15:01 Military Applications of AI 21:00 Ethical Considerations in AI Deployment Subscribe 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 Data Analytics Taskforce site…

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Automate, Delegate, Eliminate: How to Take Back Your Time with William Christensen 47:27

6 weeks ago47:27

47:27

Send us a text In this conversation, Will Christensen discusses the importance of automation, delegation, and the role of AI in enhancing productivity and efficiency in business. He shares his personal journey from manual tasks to automation, emphasising the need to invest time in learning automation tools. The discussion also covers the concept of fractional leadership, the fear surrounding AI, and the significance of coaching and mentorship in navigating these changes. The conversation concludes with a reflection on the future of work and the potential for further discussions on these topics. Takeaways Automation can drastically reduce time spent on repetitive tasks. Investing time in learning automation tools pays off in the long run. Fear of automation often stems from a lack of understanding. Fractional leadership provides flexibility and expertise without full-time costs. AI can assist in decision-making and task management. Effective delegation requires clear communication of expectations. Coaching can accelerate learning and adaptation to new tools. Understanding the value of your time is crucial for productivity. AI can serve as a powerful role-playing assistant for difficult conversations. Continuous learning and adaptation are essential in a rapidly changing work environment. Chapters 00:00 Introduction to Automation and Delegation 02:07 The Role of Spreadsheets in Business 05:01 The Light Bulb Moment: Discovering Automation 08:54 Investing Time in Automation for Long-Term Gains 10:33 Leveraging AI in Automation 13:02 The 15.1.1.5 Method for Effective Automation 16:51 Automate, Delegate, Eliminate: A Framework for Efficiency 18:09 Addressing Fears Around Automation and AI 21:24 Finding Higher Value Activities 22:18 The Power of Coaching and Delegation 23:14 10X Thinking: A Game Changer 24:09 Accelerating Learning Through Coaching 24:57 AI as a Coaching Tool 26:02 Common Challenges in Project Management 29:59 Fractional Leadership: A New Approach 33:47 Leveraging AI for Fractional Leadership 35:17 The Rise of Micro Companies 37:53 The Importance of Delegation 40:24 Painting the Picture of Success 42:22 Embracing Failure for Growth 46:40 The Email Experiment: A Year Without Checking In Williams Linked In Equity Hammer Website 10x is easier than 2 x book Subscribe 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 Data Analytics Taskforce site…

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Weekly Pulse - Navigating AI Innovations at Microsoft 35:07

7 weeks ago35:07

35:07

Send us a text In this episode of Project Flux Weekly Pulse, James Garner and Yoshi Soornack discuss their experiences at the Microsoft AI Open Day, highlighting the challenges of naming conventions in AI products and the potential of Microsoft's Copilot. They also explore Mistral's new OCR technology, which aims to improve document processing accuracy. The conversation shifts to the Royal Institution of Chartered Surveyors' new AI standards for surveying, emphasising the need for guidance in the industry. Finally, they delve into the emergence of general AI agents, discussing their capabilities and the future of AI development. Takeaways The Microsoft AI Open Day provided valuable insights into AI applications. Naming conventions in AI products can be confusing and need improvement. Mistral's OCR technology aims to enhance document processing accuracy. RICS is taking a proactive approach to AI standards in surveying. General AI agents are emerging, capable of executing multiple tasks simultaneously. The future of AI development may involve fleets of agents working together. AI tools need to be user-friendly for tech professionals. Institutions must provide guidance on AI integration and safety. The rise of automation in AI may change job roles significantly. The competition in AI is driving innovation and accessibility. Chapters 00:00 Introduction to Project Flux Weekly Pulse 02:11 Insights from Microsoft AI Open Day 11:36 Exploring Mistral's OCR Technology 17:04 Exploring AI Tools and Their Applications 18:59 AI Standards in Surveying: A Step Forward 22:01 The Rise of General AI Agents 29:00 The Future of Automation and AI Agents 33:22 Anticipating Upcoming AI Developments 34:52 Unleash the Code Intro.wav Subscribe 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 Data Analytics Taskforce site…

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Weekly Pulse /Ep.5/ Balancing Innovation and Regulation in AI