Podcast: What we learned from the world's largest EW greenhouse experiment

Two Reasons to Be Amazed – Our Latest Podcast on Enhanced Weathering & AI’s Rapid Evolution

When we set out to run the world’s largest greenhouse Enhanced Weathering (EW) experiment, we expected to measure carbon dioxide removal (CDR) by tracking alkalinity in soil leachate. What we didn’t expect was to uncover a “cation-eating monster soil” that trapped essential weathering products—or a “procrastinating basalt” that refused to release cations quickly enough. These surprises, along with thousands of chemical and physical soil measurements, forced us to rethink how one can effectively assess CDR through EW - How do we do MRV for EW properly?

Now, thanks to AI, you don’t even have to read our full white paper to dive into these insights! Using Google’s NotebookLM, we have generated an entire AI-narrated podcast episode based on our research (actually it’s just one mouse click!). This episode doesn’t just showcase the highs and lows of our greenhouse experiment—it also demonstrates just how far AI has come in synthesizing scientific knowledge and presenting it in a compelling format. You can be amazed twice: once by the surprising results of our EW experiments, and again by the fact that this podcast was completely AI-generated.

Curious? Listen now and experience the future of both carbon removal and AI-powered storytelling.