In a recent LinkedIn post, Justin Oberman uses a playful twist on a classic nursery rhyme to highlight the evolving and sometimes elusive nature of Artificial Intelligence. Oberman invites his audience to engage with the concepts surrounding AI by adapting the familiar tune of “Old MacDonald Had a Farm” to the digital age.
Oberman’s post begins by setting the scene with a familiar, yet AI-infused, opening:
🎵 Old McAltman had a server farm, AI AI oh!
And on that server farm he had a… tell. AI AI oh!
This initial stanza immediately establishes the creative premise: a traditional structure applied to modern technological themes. Oberman then continues the rhyme, illustrating the often confusing and contradictory discussions surrounding AI, as he notes:
With a “That’s not” here, And a “It’s a” there. Here a “that” there an “it,” Everywhere a “That’s not it.”
Decoding the AI Landscape Through Playful Analogy
Justin Oberman’s approach, as demonstrated in his post, is to break down complex AI terminology and concepts into more digestible and interactive components. By replacing the generic term “tell” with specific AI-related keywords, he encourages his followers to think critically about what these terms mean and how they function within the broader AI ecosystem. Oberman frames this as a collaborative exercise, prompting his audience to continue the rhyme.
An Interactive Exploration of AI Terminology
The core of Oberman’s post is an invitation to participate. He explicitly asks his readers to:
Replace “tell” with anything AI-related: GPU, prompt token, hallucination, chatbot, benchmark, agent, context window… whatever you want and finish the nursery rhyme
According to Oberman, this interactive method serves as a lighthearted yet effective way to explore the nuances of AI. He points out that the exercise, while seemingly simple, forces participants to consider the characteristics and challenges associated with each AI term they introduce. The repetitive and structured nature of the nursery rhyme format, as Oberman suggests, mirrors the iterative processes often involved in AI development and understanding.
Encouraging Engagement and Understanding
Oberman’s strategy highlights a common challenge in the AI space: the rapid proliferation of jargon and the difficulty in pinning down precise definitions for rapidly evolving technologies. As he articulates through his post’s structure, the goal is to foster a shared understanding and encourage ongoing discussion. The concluding lines of his prompt reinforce this:
“With an X, X there and a YY there…
Just make sure you end by repeating:
🎵 Old McAltman had a server farm, AI AI oh!
And on that server farm he had a…
…so the next person can keep the song going.
In Justin Oberman’s view, this gamified approach democratizes the conversation around AI, making it more accessible and less intimidating for a wider audience. It transforms a potentially dry subject into an engaging activity, encouraging followers to actively contribute and learn from each other’s interpretations of AI concepts within the familiar framework of a childhood song.
📝 About This Content
This article is based on insights shared by Justin Oberman on LinkedIn.
📅 Originally posted on July 5, 2026 | View original post on LinkedIn →