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

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 digitizes, ingests, and learns from 74.25 petabytes of offline data and that is historical humility, But what happens when the AI runs out of that pristine data? In our modern era, where digital paper costs absolutely nothing, where every fleeting half-formed thought is instantly recorded and broadcast, and where physical constraints are increasingly abstracted away by software, how do we ensure that the humans of 2030 are somehow creating the rigorous high protein data that the AI of 2050 will need to survive and evolve? How do we build systems that incentivize human truth today? We have to become the authors of the next golden century of data, not just passive consumers of a slop. Thank you so much for joining us on this deep dive on the Read Multiplex podcast. Please go support Brian's work, think critically about the inputs of the tools you use at ReadMultiplex.com.And if this has given you any value, buy Brian a coffee: https://ko-fi.com/brianroemmele