What if Content Isn’t the Product - But the Fuel?

Key Concepts:

• LLMs (Large Language Models): Advanced AI models capable of understanding and generating human-like text.
• M&A (Mergers and Acquisitions): The process of combining two or more companies.
• Data Training: The process of feeding data to an LLM to improve its performance.
• Whimo Valuation: A hypothetical high valuation assigned to a company.

Content as a Front for LLMs

The core idea presented is that content platforms can be strategically acquired and used as a source of data for training Large Language Models (LLMs). The speaker suggests that collections of websites, such as the Vox collection or Penske's collection, could become valuable assets due to their potential to provide training data for LLMs.

Substack Acquisition Strategy

A specific example is given regarding the potential acquisition of Substack. The speaker proposes a strategy to overcome potential resistance from Substack writers who might be concerned about their data being used for training LLMs. The strategy involves offering two options:

1. Writers can maintain their current deal with Substack, with a 10% cut taken by the acquiring company, and their data will not be used for training.
2. Writers can allow their Substack content to be used for training the LLM, in which case no cut will be taken.

This approach aims to incentivize data sharing by offering a financial benefit (no cut) in exchange for training data.

M&A and Valuation Synergies

The discussion then shifts to the broader potential of M&A to create significant value, particularly in the context of companies with high valuations (Whimo valuation). The speaker argues that combining certain companies through M&A can result in a valuation that is significantly higher than the sum of their individual valuations.

Example: Whimo, DoorDash, and Uber

A specific example is provided: combining Whimo, DoorDash, and Uber. The speaker suggests that while each company might be worth around $250 million individually, combining them could create a "winner" company with a trillion-dollar valuation. The rationale is that the market would assign a premium to the combined entity due to its dominant position and potential for synergy.

Argument for Increased Valuation

The argument is that the market would give a premium to the combined entity for "winning," implying market dominance and a strong competitive advantage. The speaker believes that the combined value would double or triple immediately due to this perceived advantage.

Conclusion

The main takeaway is that content platforms can be strategically valuable as sources of data for training LLMs, and that M&A can unlock significant value by creating synergies and market dominance. The Substack example illustrates a specific strategy for acquiring content and incentivizing data sharing, while the Whimo, DoorDash, and Uber example highlights the potential for M&A to create companies with significantly higher valuations.