The Knowledge Project

Chat Bots are Cheat Bots

April 5, 2026

chatbots artificial intelligence education technology academic integrity personalized learning large language models (llms)cheating knowledge graph interest graph learning engagement

Episode Summary

AI-generated · Apr 2026

AI-generated summary — may contain inaccuracies. Not a substitute for the full episode or professional advice.

This episode of The Knowledge Project explores the nuanced role of chatbots, asserting that while they facilitate cheating in academic settings, their generative AI capabilities offer significant promise for personalized education. The speaker firmly distinguishes between the misuse of chatbots for academic dishonesty and their constructive application in developing tailored learning experiences.

The speaker makes a stark claim, stating that "90% of kids who are using chatbots for academics are cheating." This issue is framed with a specific school model: academic work in the morning and life skills in the afternoon. The argument posits that using a chatbot for morning academics indicates cheating, whereas failing to leverage similar tools for afternoon life skills suggests a lack of essential future-readiness.

In contrast to their academic misuse, the episode highlights the potential of generative AI to revolutionize teaching. The proposed method involves feeding a large language model (LLM) three key datasets: the specific curriculum, a student's "knowledge graph" detailing what they know and don't know, and their "interest graph" identifying personal passions like baseball.

This comprehensive data allows the LLM to "generate the perfect next lesson" tailored to each student. The speaker argues that teaching students through topics they love and are proficient in makes them learn "both faster and more engaged," thereby harnessing AI to create highly personalized and effective educational pathways.

Listeners will gain a clear perspective on the dual nature of AI in education, understanding both the ethical pitfalls of using chatbots for academic shortcuts and the profound potential of generative AI to deliver deeply customized and engaging learning experiences for every student.

👤 Who Should Listen

Parents concerned about the ethical implications of AI tools in their children's education.
Educators and school administrators developing guidelines for AI use in the classroom.
Curriculum designers exploring innovative methods for personalized learning.
EdTech developers seeking to understand practical applications of generative AI in education.
Anyone interested in the balance between AI's potential benefits and pitfalls in learning environments.
Students navigating the appropriate and effective use of AI for academic and skill development.

🔑 Key Takeaways

1.Chatbots are predominantly used for cheating in academic contexts, with the speaker claiming that "90% of kids who are using chatbots for academics are cheating."
2.The utility of chatbots depends on the context: they are seen as detrimental for academic integrity but potentially essential for developing life skills.
3.Generative AI can be leveraged to create highly personalized lessons for students by understanding their individual learning profiles.
4.Developing effective personalized lessons requires feeding an LLM specific curriculum content, a student's knowledge graph (what they know and don't know), and their interest graph (what they like).
5.Tailoring educational content to a student's interests and strengths, such as using baseball analogies, can lead to learning that is "both faster and more engaged."
6.The ultimate goal of using generative AI in education is to allow an LLM to synthesize diverse student data and "generate the perfect next lesson" for each learner.

💡 Key Concepts Explained

Knowledge Graph (for Students)

This concept refers to a comprehensive mapping of a student's current understanding, detailing what they know and what they do not know. In this episode, it is presented as a crucial data input for an LLM to effectively personalize lessons, allowing AI to identify specific learning gaps and tailor content accordingly.

Interest Graph (for Students)

The interest graph is a profile of a student's personal hobbies, passions, and areas of interest, such as baseball. The episode highlights its importance as an LLM input to make learning more engaging and relevant, arguing that teaching through subjects a student loves can result in "faster and more engaged" learning outcomes.

⚡ Actionable Takeaways

→Evaluate existing policies on AI and chatbot usage in academic settings, considering the speaker's concern about widespread cheating.
→Distinguish between appropriate and inappropriate applications of AI tools, encouraging their use for skill development while discouraging academic dishonesty.
→Explore how generative AI platforms can be configured to create personalized learning paths by inputting specific curriculum standards.
→Begin to develop a "knowledge graph" for learners, systematically identifying their current understanding and areas needing improvement in specific subjects.
→Create an "interest graph" for students to identify their hobbies and passions, which can then be integrated into teaching strategies to enhance engagement.
→Consider how an LLM could be trained with student data to generate customized learning content that aligns with individual knowledge and interests.

⏱ Timeline Breakdown

00:00Introduction to chatbots as 'cheatbots' in academics, with 90% of kids using them for cheating.

00:00Discussion of the dual role of chatbots: cheating in morning academics vs. failing without them for afternoon life skills.

00:00Explanation of how generative AI can be used to create personalized lessons for every student.

00:00Details on feeding an LLM with curriculum, a student's knowledge graph, and their interest graph (e.g., baseball).

01:02Conclusion on how an LLM uses this data to generate the perfect next lesson, leading to faster and more engaged learning.

Best of this topic

Best chatbots episodes →Best artificial intelligence episodes →Best education technology episodes →Best academic integrity episodes →Best personalized learning episodes →

💬 Notable Quotes

“Chatbots are cheatbots. 90% of kids who are using chatbots for academics are cheating.”

“If you're using a chatbot in the morning, you're probably cheating. And if you're not using it in the afternoon for your life skills and all that stuff, you're probably failing.”

“Imagine if you had an LLM and you fed it the curriculum you're trying to teach. You fed it the kids' knowledge graph. What do they know and what do they not know? You also feed it the kids' interest graph.”