Reading “Nexus” as Opportunity for Different Type of AI Conversation

Nexus: A Brief History of Information Networks from the Stone Age to AI by Yuval Noah Harari

Published in September 2024

The last book I recommended for digital learning teams to read to fuel conversations about AI and higher education was Co-Intelligence: Living and Working With AI by Ethan Mollick. It is short, taking only four hours and 39 minutes to read in audiobook format. (Is there any other way to read books?)

Yuval Noah Harari’s Nexus: A Brief History of Information Networks from the Stone Age to AI is an altogether different beast. Reading this book entails absorbing some significant opportunity costs at a portly 17 hours and 28 minutes of listening time.

Counterintuitively, at this moment in higher education, Nexus’s 17 hours and 28 minutes of required attention are more feature than bug. All of us working in digital learning and higher education would do well to trade time reading about the latest assault on our values and institutions and instead spend that time listening to Harari tell his AI story.

Despite the value of Nexus as a distraction from news, screens and any conversations about almost anything nowadays, real value can be derived from the book in our campus discussions about AI. Granted, a bit of handwaving may be necessary to connect Harari’s story with how we are going to infuse AI into our curriculum, course production and university administrative processes. As with most exercises in lateral thinking, the benefits come from the process, not the ends, and any attempt to connect the ideas in Nexus to campus AI policies and practices is sure to yield some interesting results.

What Harari sets out to do in Nexus is fit the emergence and future impact of AI within the broader historical story of the evolution of information networks. As with all prior information technology revolutions, AI (or at least generative AI) will decrease information creation and transmission costs.

In higher education, we already see the impact of AI-generated content, as AI-created assessments and AI-generated synthesis of course videos and readings appear across a wide range of online courses. Very quickly, we will start to see a transition from subject matter expert instructional videos to SME avatar media, generated from nothing more than a headshot and a script.

Harari’s worry about our AI future is that generative AI can create new information. Information does not equal knowledge, as platforms for dissemination can just as quickly (or more easily) spread disinformation as facts. What happens when generative AI generates and spreads so much disinformation that practical knowledge gets overwhelmed?

Unlike Mollick’s book Co-Intelligence, which is practical and positive, Nexus is abstract and a bit scary. It will be challenging to read Nexus with the goal of making connections with how we might handle the rise of generative AI on our campuses and within our industry without arriving at some level of pessimistic concern. After all, we are in the business of knowledge creation and dissemination, and generative AI promises to change (perhaps radically) how we go about both of these activities.

A second area of higher education AI concern that reading Nexus will do little to alleviate revolves around who creates the tools. The history of universities being dependent on the platforms of for-profit companies to accomplish our core mission-related teaching activities is not an encouraging precedent. The thought of higher education as a passenger in a corporate vehicle of AI tools and capabilities should invoke first worry and then action.

While Nexus’s lack of actionable steps for universities in the age of AI might frustrate many in our community looking for that road map, it may be that taking a 30,000-foot view is what is needed to best assess the landscape. What Nexus lacks in practical advice around AI for higher education, it excels in providing the overarching framework (information networks) and historical context in which to have different (and perhaps more ambitious) campus conversations on AI.

What are you reading?