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ChatGPT and major projects: what are the latest developments?
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In this episode, we are delighted to have Lawrence Rowland join us again, one year on from the first What can ChatGPT do for major projects? episode.
Lawrence, a project data/AI specialist, talks to Andy Murray, Executive Director of the Major Projects Association, to revisit their discussion from a year ago and explore the advancements in AI technology, particularly focusing on OpenAI’s latest models.
Lawrence has been actively experimenting with AI and shares his insights and practical examples of using AI to enhance project management processes. Lawrence and Andy also discuss the potential future impact of artificial general intelligence (AGI) and artificial superintelligence (ASI) on the industry.
This is the third in our series of podcasts on AI leading up to our Annual Conference AI is the answer. Now what’s the question? in October.
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Links
A selection of Lawrence's LinkedIn posts:
Project execution strategy and testing the research results
Consulting many documents: Tactic one is RAG (Retrieval Augmented Generation) with ai assistants (or in custom GPT); Tactic two is in context learning (the conference example)
Two GPTs talk to each other, one with Strategy documents, the other with Kindle clippings
GPT agents perform roles on the UK rail reform project (post 7 is here, including links to all earlier posts). And here they are talking in a meeting to each other
How to use multiple custom GPTs as proto agents
The first type of agent that can go away and think for you and message you later is now possible with o1, once they allow it to think for arbitrary amounts of time
The second type of agent (Replit agent builds a decision app based on ontology)
A Manifesto for running projects with AI in 2024 Manifesto (full)
AI in the Knowledge Economy paper
Claude artefact (apps) you can create in Sonnet 3.5
John Schulman on AGI and ASI (YouTube)
About Ceefax:
Ceefax: What life was like before the internet (BBC)
Paying tribute to Ceefax (BBC)
Lawrence Rowland
Lawrence began as an engineer on large capital projects with WSP and Motts, and moving onto Bechtel and Booz Allen. He spent ten years in project and portfolio management with CPC and Pcubed, before transitioning to data analytics and AI for projects, working originally for Projecting Success. He now helps project services firms find relevant immediate AI applications for their business.
Follow him for daily posts on how to get started on LinkedIn or write to him at lawrence.rowland@reactai.com.
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