Sir Andrew Likierman on judgment, AI's impact on business models, reducing conspiratiorial thinking, and more

"The greatest advances of the future will come from the convergence of human and machine intelligence." — Marc Benioff

In a Humans + AI world, human judgment becomes ever-more important. Former London Business School dean Sir Andrew Likierman, now late in his career, is focusing on this as not only perhaps the most important issue, but one that has not been well addressed so far.

This week’s podcast with Sir Andrew is a must-listen in learning how we can improve judgment and combine that with AI for better decisions.

Ross

 

📖In this issue

  • The Impact of AI on Business Models and Value Creation

  • OpenAI’s o1 “reasoning” model reframes human roles

  • Ontological knowledge graphs + LLMs + multi-agent systems => Automated scientific discovery

  • Conversations with AI can reduce conspiratorial thinking

  • OpenAI’s o1 faked alignment and is at the highest risk level that OpenAI will release

  • Sir Andrew Likierman on six elements for improving judgement, increasing awareness, and the comparative advantages of humans over AI

  • Five ways professional writers are leveraging ChatGPT

🤸 Framework

The Impact of AI on Business Models and Value Creation

IAI is reshaping business models and value creation across all industries. Forward-thinking leaders are considering how their business models will evolve and the legion new opportunities for enhanced value creation and capture.

This new framework below distills the most important frames for understanding how business models are shifting. This is just an initial top-level view of the elements, I will be sharing more detail on many aspects of this in the near future.

 

👩🤖Humans + AI update

OpenAI’s o1 “reasoning” model reframes human roles

If you’ve missed it, the big news this week is the preview release of OpenAI’s o1 model capable of “reasoning”. Ethan Mollick comments:
“As these systems level up and inch towards true autonomous agents, we're going to need to figure out how to stay in the loop - both to catch errors and to keep our fingers on the pulse of the problems we're trying to crack. GPT-o1 is pulling back the curtain on AI capabilities we might not have seen coming, even with its current limitations. This leaves us with a crucial question: How do we evolve our collaboration with AI as it evolves?“

Ontological knowledge graphs + LLMs + multi-agent systems => Automated scientific discovery

"SciAgents reveals hidden interdisciplinary relationships that were previously considered unrelated, achieving a scale, precision, and exploratory power that surpasses traditional human-driven research methods."

Conversations with AI can reduce conspiratorial thinking

“Experiments in which an AI chatbot engaged in conversations with people who believed at least one conspiracy theory showed that the interaction significantly reduced the strength of those beliefs, even two months later. The secret to its success: the chatbot, with its access to vast amounts of information across an enormous range of topics, could precisely tailor its counterarguments to each individual.”

20th century mystic Krishnamurti sheds light on humans and AI

"Krishnamurti worried that an insufficiently cultivated mind that had been employed merely for material and mechanical purposes would be perfectly imitable and thus replaceable by computers and other machines. Thus, our main concern should not be machines attaining humanlike minds, but people having machinelike minds."

🔥Hot news in AI

  • The big news of the week was OpenAI’s launch of o1-preview. In safety testing it faked aligment and achieved a ‘medium’ risk, the highest that OpenAI will release - Transformer

  • Salesforce launched AgentForce - easily programmable agents across its platform - Axios

  • Google’s NotebookLM creates a short podcast from documents, slides, and charts - Google

  • Google DeepMind teaches robots to tie shoelaces, clean kitchens and more with advanced dexterity - ReadWrite

🎙️This week’s podcast episode

Sir Andrew Likierman on six elements for improving judgement, increasing awareness, and the comparative advantages of humans over AI  

What you will learn

  • Understanding the six elements of good judgment

  • How intuition and experience shape decision-making

  • Balancing gut feel and logical reasoning in choices

  • The impact of awareness on better judgment

  • Differences between human judgment and AI capabilities

  • Why context shifts are crucial in decision-making

  • Integrating human and AI for more effective outcomes

 

💡Resources and insights

Five ways professional writers are leveraging ChatGPT

OpenAI shares an interesting review of how five professional writers are using LLMs to enhance their writing.

Techniques include editorial feedback, wordfinding, reverse interviewing, research, worldbuilding,

Thanks for reading!

Ross Dawson and team