Project Flux

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Summary

In this episode, Emil Kofori from Autodesk shares insights on AI's evolving role in construction and design, the future of outcome-based modeling, and how humans and AI can collaborate effectively.

Key Topics

AI's role in construction and design
Outcome-based modeling and its implications
The evolution of developer work with AI
Heuristics and their role in AI development
Multi-agent systems and scaffolding in AI
Responsible AI and ethical considerations
Future skills for developers and users
The impact of AI on human roles and collaboration

Chapters

00:00 Introduction and episode overview
01:13 Guest introduction: Emil Kofori from Autodesk
02:09 Emil's background and team overview at Autodesk
04:03 Challenges in AI adoption and responsible use
05:22 Changes in developer advocacy and AI's influence
07:33 Shift towards outcome-based design in construction
09:41 Scrutinizing AI models and understanding their thought process
12:25 Multi-agent architectures and scaffolding in AI
17:45 Heuristics, AI, and open-ended problem solving
23:06 Indicators for when not to use AI
28:50 The future skills of developers and humans in AI era
39:31 Books that influenced Emil's thinking
41:34 Predictions for AI in AEC in five years
43:06 Closing remarks and where to find Emil

Links and Stuff 
Emile Kfouris's Linkedin : https://www.linkedin.com/in/emile-kfouri/
Everyday AI: Your daily guide to grown with Generative AI
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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.

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Summary

In this week's episode, we are joined by João Dias, Co-Founder and CEO of Constructer.ai, and Dr Shirin Dora, Senior Lecturer in Neuromorphic Computing at Loughborough University, to discuss what trustworthy AI really requires in construction.

Key Topics

AI's impact on construction project management
Data quality and unstructured data in construction
Use of live data versus historical data in AI models
The importance of domain expertise in AI solutions
Challenges of AI adoption in construction industry
The concept of faithful but wrong in AI outputs
Future prospects of AI and AGI in construction

Chapters

00:00 Introduction to the episode and guests
01:09 Joao Dias discusses his background and motivation for founding Constructor
02:34 The personal pain points in project delivery that AI aims to solve
03:11 Shirin Dora shares her transition from academic machine learning to industry impact
04:11 The collaboration between domain expertise and AI technology
06:02 Differentiating Constructor from other construction tech platforms
09:52 Constructor's approach: detect, quantify, and act with live data
11:01 Why focus on live data instead of historical data
12:21 Choosing appropriate AI techniques for construction problems
16:15 Understanding hallucination versus faithful but wrong in AI outputs
21:32 Liability and trust in AI-generated insights in construction
24:13 Current AI adoption levels in the construction industry
34:24 Preparing for the future: building AI capabilities for construction professionals
41:54 The long-term outlook for AI and the possibility of AGI in construction

Connect with the Guests:

Joao Dias - LinkedIn
Shirin Dora - Linkedin
Constructer.ai

Everyday AI: Your daily guide to grown with Generative AI
Can't keep up with AI? We've got you. Everyday AI helps you keep up and get ahead.
Listen on: Apple Podcasts Spotify
Support the show
Subscribe to the Project Flux Newsletter!
All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 
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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.

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Summary

Helen Routledge, CEO of Totem Learning, shares insights on the intersection of AI, serious games, and human behavior. Discover how immersive technology and behavioral science are shaping the future of learning and performance.

Key Topics

The role of serious games in behavior change
Impact of AI on game design and creativity
The importance of practice in learning and memory
Holistic systems thinking in technology adoption
Ethics and regulation of AI in training
The human element in AI-driven systems
Cost and quality considerations in immersive learning
The future of work and AI adoption among different age groups

Chapters

00:00 Introduction to Helen Routledge and Totem Learning
01:10 Helen's background in psychology and behavior change
02:30 What are serious games and their role in learning
03:46 Current focus on AI and its impact on software and game design
05:18 The challenge of quality in AI-generated content
06:55 The importance of creativity and human direction in game development
07:41 Holistic systems thinking in behavior change and technology
08:22 Practice versus instant knowledge in learning
10:30 Building mental models through practice and experience
12:18 The value of doing and experiential learning
13:33 The emotional element in learning and AI simulation
15:33 Empowering learners through problem-solving and choice
17:00 AI as a supporter versus a control in learning
18:03 Designing AI characters with emotional and psychological depth
20:28 Emulating emotion and human traits in AI characters
22:39 Cost, quality, and the economics of immersive learning
24:36 Risks and safeguards in AI development and deployment
26:31 Experimentation and rapid testing with AI tools
28:14 Regulation, safety, and slowing down AI progress
30:43 AI adoption and resistance among different age groups
33:22 The societal impact of AI and future work trends
36:22 The importance of human connection in a digital world
38:45 The unique value of human judgment in immersive learning
42:37 Helen's recommended game: Zelda Breath of the Wild
43:46 Nested problem solving in games and real-world applications
44:50 The joy of curiosity and continuous learning
45:46 Connecting with Helen and final thoughts

Links and Stuff

Everyday AI: Your daily guide to grown with Generative AI
Can't keep up with AI? We've got you. Everyday AI helps you keep up and get ahead.
Listen on: Apple Podcasts Spotify
Support the show
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!
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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.

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Summary

In this episode, Ritesh Patel, co-founder of TicketFairy, shares insights on how AI is transforming event management, ticketing, and industry dynamics. Discover how innovative AI-driven tools are streamlining operations, enhancing fan engagement, and shaping the future of live events.

Key Topics

AI in event management and ticketing
Automation of event production tasks
Word of mouth and network effects in ticket sales
AI-driven industry insights and analytics
Custom AI harness and skills for event planning
Impact of AI on jobs and industry dynamics

Chapters

00:00 Introduction to Ritesh Patel and TicketFairy
01:11 Ritesh's background in tech and event production
03:03 Identifying market gaps in event tech
03:55 TicketFairy's dual focus on promoters and fans
04:46 The importance of industry health and sustainability
05:57 Digitizing word of mouth and marketing
08:54 AI's role in streamlining event logistics
10:57 Building custom AI harnesses for industry-specific needs
12:58 Early experiments with AI and LLMs in event management
15:04 The development of AI agents for event production
18:02 Proactive AI in operational management and safety
19:56 AI for continuous improvement and feedback loops
21:48 AI's role in logistics, contracts, and vendor management
24:56 The importance of ground-level experience in AI development
29:56 Scaling AI systems for business and industry
31:53 Future potential of recursive AI improvements
33:52 Impact of AI on jobs and industry efficiency
37:09 Societal implications and the AI revolution
40:05 The enduring value of in-person experiences
41:08 Personal influences and recent technological inspirations
42:06 Predictions for the future of live events in 2031
43:50 Closing thoughts and where to find Ritesh

Links and Stuff
Ticket Fairy's Linkedin : 
Everyday AI: Your daily guide to grown with Generative AI
Can't keep up with AI? We've got you. Everyday AI helps you keep up and get ahead.
Listen on: Apple Podcasts Spotify
Support the show
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!
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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.

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Summary

In this episode, Alex Luketa from Xerini shares insights on AI, data management, and the future of technology, emphasizing the importance of data quality, governance, and the societal impacts of AI.

Key Topics

Data silos and quality issues
Impact of AI on organizational culture
Risks and governance of AI
Future hardware and local models
Societal impacts and inequality

Chapters

00:00 Introduction to Alex Luketa and Zorini
01:15 Alex's background in finance and AI
02:28 The core problem: Data silos and quality
03:38 AI's influence on organizational culture
04:39 Progress in data maturity and AI adoption
06:45 Starting small with data projects
08:10 Using AI to assess data quality
09:11 Lessons from HS2 project and AI failures
10:07 Business case and success metrics for AI
11:35 Addressing AI panic and data security concerns
12:14 Risks of AI and data privacy
14:58 The future of AI hardware and costs
16:10 Legislation, governance, and geopolitical risks
18:36 Local models and AI competition
20:43 Environmental costs of AI and data centers
22:24 Global AI market and competition
24:31 Market dynamics and monopoly concerns
26:13 The power of local hardware and AI accessibility
28:38 AI's societal impact and inequality
32:20 AI in healthcare and societal benefits
36:28 The future of AI legislation and governance
40:20 Adapting to AI and future predictions
44:27 Predictions for AI in 2031
46:26 Where to find Alex and Zorini

LINKS AND STUFF 
Alex Luketa's Linkedin : https://www.linkedin.com/in/alex-luketa?utm_source=share_via&utm_content=profile&utm_medium=member_ios
Everyday AI: Your daily guide to grown with Generative AI
Can't keep up with AI? We've got you. Everyday AI helps you keep up and get ahead.
Listen on: Apple Podcasts Spotify
Support the show
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 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.