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Major Projects Association에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Major Projects Association 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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ChatGPT and major projects: what are the latest developments?

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Manage episode 443027585 series 3007068
Major Projects Association에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Major Projects Association 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

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.

*******

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 demo

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 [email protected].

  continue reading

32 에피소드

Artwork
icon공유
 
Manage episode 443027585 series 3007068
Major Projects Association에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Major Projects Association 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

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.

*******

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 demo

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 [email protected].

  continue reading

32 에피소드

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