Proprietary data can be less valuable than the insights generated by infinitely smart agents using public data, as the latter can synthesize new information more effectively.

The majority of data available today is private and proprietary, and leveraging this data will lead to significant improvements in AI models.

Even if AI progress stalls, the economic value of automating white-collar work remains significant, provided we have the right data.

Companies should focus on proprietary data and unique test cases to differentiate themselves in the AI market.

Data is the new user interface for AI, and having highly curated data is crucial for achieving great outcomes with AI agents.

The true value of AI lies in its ability to drive global economic growth, particularly by enhancing productivity in sectors like healthcare.

Using AI to summarize information can degrade a product manager's customer intuition; instead, use AI to navigate and clean data while insisting on exact quotes and direct links to original sources.

As AI evolves, it will provide companies with greater leverage, allowing them to operate more efficiently and create new opportunities for innovation.

Fine-tuning Copilot with proprietary data will give companies a competitive edge over generic AI solutions. The sustainable advantage lies in obtaining new samples to apply reasoning models with your data, enabling reinforcement learning in real-world applications.