ReadMultiplex.com: The Rise of AI “Trendslop”. It’s The Training Data Stupid.

From ReadMultiplex.com Podcast. by Brian Roemmele

April 26, 2026 · 32 min · Episode 46

About this episode

The episode discusses the impact of training data on AI systems and proposes a solution based on historical data from 1870 to 1970.

The data we choose to train AI systems on today is quite literally going to shape the strategic intelligence of tomorrow. You do not want to be asking a sycophant for advice on how to save your your relationships, health, business or the world. You want to build, or at least utilize, something that relies on structural truth. Researchers Asked AI for Strategic Advice, They Got Trend Slop in Return. To briefly summarize our journey today, we start out with the striking discovery of strategy trend slop by the HBR researchers. We uncovered the root cause of that slop in the internet sewage of consensus-enforced platforms like Wikipedia and karma-driven ecosystems like Reddit. And finally, we arrived at Brian Rommel's profound solution, the untapped 1870-1970 high-protein data corpus anchored by his open-source love equations. It is a complete paradigm shift in how we think about the future of machine learning. The 1870 to 1970 data I reccomebd as a solution contains a unique paradigm shift humility, precisely because humanity was discovering so much for the absolute first time, constrained by the physical costs of paper, ink, and reputation. Follow this advice and AI eventually…

People in this episode

Host: Brian Roemmele

Topics covered

AI training data
strategic intelligence
machine learning
data analysis
historical data

Keywords

AI
training data
strategic advice
trend slop
machine learning
historical data
data corpus

Mentioned in this episode

Organizations: HBR, Wikipedia, Reddit