Project Flux

Send us a textSummaryIn this episode of Project Flux, the hosts discuss significant developments in AI, including the UK government's AI action plan, highlights from the CES show, and insights from the World Economic Forum's Future of Jobs report. They explore the implications of these advancements for the economy, public services, and the future of work, emphasising the need for upskilling and the importance of data privacy.TakeawaysThe UK government has accepted 50 recommendations to enhance AI capabilities.AI growth zones are being established to foster innovation and job creation.The CES show showcased advancements in AI technology, including Nvidia's powerful new tools.AI can improve public sector efficiency and address common public grievances like road maintenance.Data ownership and privacy are critical concerns in the AI landscape.The Future of Jobs report highlights the need for upskilling in response to AI advancements.AI technology can have both positive and negative implications for society.The UK aims to position itself as a leader in AI development and innovation.Collaboration between public and private sectors is essential for successful AI implementation.The conversation emphasises the importance of understanding the evolving job landscape due to AI.Chapters00:00 Introduction and Overview of AI News03:03 UK Government's AI Action Plan18:48 Highlights from CES Show 202327:38 World Economic Forum's Future of Jobs Report32:09 Unleash the Code Intro.wavSubscribe 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

Send us a textIn this episode of the Project Flux podcast, hosts James Garner and Yoshi Soornack and guest Dave Officer discuss the current landscape of AI, focusing on the competition between the US and China, the implications of safety and ethical considerations in AI development, and the recent controversy surrounding OpenAI's privacy promises. They explore the advancements in AI technology, the financial investments driving the industry, and the potential risks associated with AI models, particularly in the context of international competition and regulatory frameworks. In this conversation, they delve into the complexities of data management, user experience, and the implications of AI on identity and creativity. They discuss the challenges of distinguishing between human and AI interactions, the potential rise of micro companies utilising AI, and the importance of creativity in leveraging AI tools effectively. The conversation highlights the ethical considerations surrounding AI and the evolving landscape of technology in business.TakeawaysAI is projected to significantly contribute to global GDP by 2030.The US currently leads in AI investment compared to China.China's DeepSeek model shows competitive performance against Western models.Safety and ethical considerations are crucial in AI development.OpenAI's privacy promises may have been more of a PR strategy than a genuine commitment.The competition between the US and China in AI is intensifying.Public perception and trust in AI models are influenced by safety concerns.The financial commitment to AI development is critical for future advancements.Legal implications regarding data usage in AI are emerging as a significant issue. Data management policies often fall short in protecting user data.AI's ability to regenerate content raises concerns about authenticity.The distinction between human and AI interactions is becoming blurred.Micro companies may leverage AI to reduce operational costs.Creativity is essential for effectively using AI tools.The rise of digital twins poses identity challenges for individuals.Legislation around data scraping is still evolving.AI tools can democratise entrepreneurship by lowering barriers.Understanding AI's limitations is crucial for effective implementation.The future may see organisations run predominantly by AI agents.Chapters00:00 Welcome Back and New Beginnings11:12 Safety and Ethical Considerations in AI17:06 Data Management and User Experience Challenges24:23 The Rise of Micro Companies and AI Integration29:50 Navigating AI Tools and CreativitySubscribe 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

Send us a textIn this episode of the Project Flux podcast, we discuss our predictions for AI in 2025. We explore the rise of large AI models, the shift towards smaller specialised models, and the emergence of agentic workflows. The conversation also covers advancements in memory and attention, the future of robotic AI, and the adoption of generative AI in organisations. Additionally, we delve into AI's impact on wealth management, healthcare innovations, spatial computing, the importance of data centres, and the competitive landscape between the US and China in AI development. The episode concludes with a discussion on AI safety levels and the role of AI in retail personalisation.Takeaways2025 is expected to be a significant year for AI advancements.Larger AI models will continue to evolve, but data scarcity poses challenges.Smaller, specialised AI models will provide better ROI for businesses.Agentic workflows will become more mainstream, allowing for more autonomous systems.Improvements in memory and attention will enhance AI's ability to understand users.Robotic AI will start to bridge the gap between humans and machines in various sectors.Generative AI adoption is still a work in progress, with companies learning to integrate it effectively.AI will hyper-personalize insights in wealth management, impacting financial decision-making.Healthcare will see innovations in treating diseases, aided by AI technologies.Spatial computing will experiment with AI, particularly in healthcare and surgery.Chapters00:00 New Year, New Predictions for AI03:10 The Rise of Large AI Models05:48 The Shift to Smaller, Efficient Models08:39 Agentic Workflows and Multimodal Architectures11:31 Enhancements in Memory and Attention14:26 The Emergence of Robotic AI17:23 Generative AI's Impact on Business Adoption18:53 AI Deployment and Wealth Management22:10 Healthcare Innovations and AI24:56 Spatial Computing in Medicine27:03 Data Centers and AI Infrastructure28:48 Mergers and Acquisitions in AI30:01 AI and Cryptocurrency Convergence31:41 US-China AI Supremacy Race34:43 AI Safety Levels and Ethical Considerations37:21 AI in Retail and Personalization39:18 Introduction and Sponsorship Highlights39:41 Engagement and Community BuildingSubscribe 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

Send us a textIn this Christmas special episode of the Project Flux podcast, hosts James Garner and Yoshi Soornack discuss the recent unveiling of OpenAI's O3 model, which is touted as the most powerful language model to date. They delve into its performance benchmarks, the ongoing debate about its classification as AGI, and the implications for project management and emotional intelligence in AI. The conversation also touches on safety protocols and the future of AI technology, concluding with reflections on the rapid advancements in the field and their potential impact on society.TakeawaysOpenAI's O3 model is considered a significant advancement in AI.The model's performance on benchmarks raises AGI discussions.Safety protocols are crucial as AI capabilities grow.Emotional intelligence remains a challenge for AI models.The timeline for AGI may be closer than previously thought.AI's impact on project management is still uncertain.Public perception of AI advancements is complex and technical.The rapid release of AI models indicates an arms race in technology.Understanding human behavior is essential for AI development.Future predictions for AI are optimistic but require caution. Chapters00:00 Christmas Greetings and Excitement01:00 OpenAI's O3 Model Unveiled02:58 Performance Benchmarks and AGI Debate06:02 Safety Protocols and Model Alignment08:56 Generalization and Emotional Intelligence in AI11:54 Implications for Project Management and Future Predictions14:47 The Future of AI and Public PerceptionSubscribe 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