Two Causes to Be Amazed – Our Newest Podcast on Enhanced Weathering & AI’s Fast Evolution
Once we got down to run the world’s largest greenhouse Enhanced Weathering (EW) experimentwe anticipated to measure carbon dioxide elimination (CDR) by monitoring alkalinity in soil leachate. What we didn’t anticipate was to uncover a “cation-eating monster soil” that trapped important weathering merchandise—or a “procrastinating basalt” that refused to launch cations rapidly sufficient. These surprises, together with hundreds of chemical and bodily soil measurements, pressured us to rethink what actually drives efficient CDR by means of EW.
Now, because of AI, you don’t even need to learn our full white paper to dive into these insights! Utilizing Google’s NotebookLMwe’ve got generated a whole AI-narrated podcast episode primarily based on our analysis. This episode doesn’t simply showcase the highs and lows of our greenhouse experiment—it additionally demonstrates simply how far AI has come in synthesizing scientific information and presenting it in a compelling format. You may be amazed twice: as soon as by the shocking outcomes of our EW experiments, and once more by the truth that this podcast was fully AI-generated.
Curious? Listen now and experience the future of both carbon removal and AI-powered storytelling.
