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# The f(x)=e^x | Model collapse and ironies in the world of AI
- URL: https://www.thedigitalspeaker.com/fx-ex-model-collapse-ironies-world-ai/
- Published: 2023-06-28T06:27:02.000Z
- Updated: 2026-08-04T05:40:20.000Z
- Description: This week's f(x)=e^x covers a range of intriguing topics, from the ironic scenario of AI models training other AI models to the tragic irony of deforestation. We explore the phenomenon of model collapse and the potential pitfalls of ChatGPT's new updates, and the environmental crisis.
- Author: Dr Mark van Rijmenam, CSP
- Tags: #newsletter, Synthetic Minds Newsletter

Dr Mark van Rijmenam, CSP

# The f(x) = e^x | June 28, 2023 - Vol. 221

[***ChatGPT***](https://www.thedigitalspeaker.com/chatgpt-speaker/)***'s joke of the week:***

*Why was the AI model kicked out of school?*

*Because it was caught letting its "ChatGPT buddy" do all its homework!*

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### **The Danger of AI Model Collapse: When LLMs are Trained on Synthetic Content**

[![](https://storage.ghost.io/c/af/cc/afcca743-e1e6-4752-bf81-782fb033f39c/content/images/2023/06/Danger-of-AI-Model-Collapse-Futurist-Speaker-1.jpg)](https://www.thedigitalspeaker.com/danger-of-ai-model-collapse-llms-trained-synthetic-data/)

### **My latest article:**

Navigating the world of AI can be a tightrope walk, especially when faced with the phenomenon of model collapse. This occurs when LLMs become overly reliant on data created by the LLM, something that could happen with future iterations of existing large language models as the internet is now flooded with synthetic content created by those LLMs.

Model collapse in AI can lead to distorted perceptions of reality and perpetuate biases. This can compromise the reliability and accuracy of AI models, affecting their ability to provide accurate predictions or recommendations.

Potential solutions include verifying synthetic content before using it as training data and creating language models using smaller datasets. The effectiveness of these strategies varies based on factors like model architecture, dataset composition, [**and training objectives**](https://www.thedigitalspeaker.com/danger-of-ai-model-collapse-llms-trained-synthetic-data/).

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You can visit TheDigitalSpeaker.com to book me as a keynote speaker for your next event. Don't forget to read my top ten technology trends for 2023 if you want to know what is in store for this year, or watch my speaker demo:

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### **Useful Nuggets of Information**

*My weekly tips from around the web to get you thinking.*

### **1\. AI's dark side: junk websites drain ad budgets.**

AI-generated junk websites are siphoning off online ad money from major brands, leading to billions wasted annually. As AI advances, this worrying trend is set to escalate. ([**MIT**](https://www.technologyreview.com/2023/06/27/1075545/next-gen-content-farms-ai-generated-text-ads/?ref=thedigitalspeaker.com))

### **2\. ChatGPT's new updates: power and pitfalls.**

OpenAI is set to roll out significant updates for ChatGPT, including a new function-calling feature that allows it to interact with the outside world. While this enhances its utility, it also raises concerns as ChatGPT cannot distinguish fact from fiction. ([**Mashable**](https://mashable.com/article/openai-chatgpt-gpt-4-function-calling-update?ref=thedigitalspeaker.com))

### **3\. Meet Voicebox: Meta's ai that mirrors your voice!**

Meta's new AI, Voicebox, can mimic voices with stunning accuracy. This powerful tool can generate natural audio clips and even replicate the style of a given voice sample, marking a significant advancement in AI technology. ([**ZDNET**](https://www.zdnet.com/article/meta-unveils-voicebox-ai-to-replicate-the-voices-of-your-friends-and-loved-ones/?ref=thedigitalspeaker.com))

### **4\. Humans paid to train AI, outsource the job... to AI.**

In an ironic twist, many people paid to train AI models are actually outsourcing their work to AI itself. This ironic cycle could lead to more errors in AI models, creating a self-defeating loop in the AI world. ([**MIT**](https://www.technologyreview.com/2023/06/22/1075405/the-people-paid-to-train-ai-are-outsourcing-their-work-to-ai/?ref=thedigitalspeaker.com))

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[![](https://storage.ghost.io/c/af/cc/afcca743-e1e6-4752-bf81-782fb033f39c/content/images/2023/06/deforestation.jpg)](https://www.vox.com/down-to-earth/23766056/deforestation-amazon-rainforest-palm-oil-cattle?ref=thedigitalspeaker.com)

### **Trees getting axed while pledges grow: the sad irony of deforestation.**

Despite lofty promises to halt deforestation, forests continue to fall. It's a tragic irony: we pledge to save trees while simultaneously cutting them down, risking ecosystems and our fight against climate change. ([**Vox**](https://www.vox.com/down-to-earth/23766056/deforestation-amazon-rainforest-palm-oil-cattle?ref=thedigitalspeaker.com))

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## Frequently asked questions

### What is AI model collapse?

Model collapse occurs when large language models become overly reliant on data created by other LLMs. As the internet fills with synthetic content generated by these models, future iterations trained on that content risk developing distorted perceptions of reality and perpetuating biases, which compromises their reliability and accuracy for predictions or recommendations.

[Link to this question](#faq-what-is-ai-model-collapse)

### How can model collapse be prevented?

Potential solutions include verifying synthetic content before using it as training data and creating language models using smaller datasets. However, the effectiveness of these strategies varies depending on factors like model architecture, dataset composition, and training objectives, meaning no single fix works universally across all AI systems.

[Link to this question](#faq-how-can-model-collapse-be-prevented)

### Why are people outsourcing AI training work to AI itself?

In an ironic twist, many people who are paid to train AI models are actually outsourcing their work to AI itself. This creates a self-defeating loop where the AI training process becomes circular, potentially leading to more errors accumulating within AI models over time.

[Link to this question](#faq-why-are-people-outsourcing-ai-training-work-to-ai-itself)

### How is AI contributing to wasted ad spending?

AI-generated junk websites are siphoning off online ad money from major brands, leading to billions wasted annually. As AI technology continues to advance, this problematic trend of junk content draining advertising budgets is expected to escalate further, creating a growing dark side to AI's rapid development.

[Link to this question](#faq-how-is-ai-contributing-to-wasted-ad-spending)