The interesting fact is that even these super-specialist people can not agree on one of the first three options, in fact the specialists gave us the same voting result as the overall audience.
After 61 votes the majority of respondents (51%) sees the major obstacle for ERW in โ๐ ๐ฅ๐ฉ ๐ฎ๐ป๐ฑ ๐๐ป๐ฐ๐ฒ๐ฟ๐๐ฎ๐ถ๐ป๐๐โ while 39% think financing or demand are the biggest problems. I looked into the votes and counted the people who work directly in EW (in science or for companies).
The perception of the obstacles for the future of enhanced weathering (EW) is the same for the EW specialists as well as my broader audience here: MRV remains the biggest challenge!
My AI assistant @captaindrawdown.bsky.social and I build an interactive directory of over 700 CDR companies and it took just four prompts on my side, the assistant did everything else. Itโs not yet totally perfect, but we are getting there. The captain wrote a blog article about the whole story.
Read more about this in our blog and the scientific pre-print: www.carbon-drawdown.de/blog/2026-1-...
For the future this means that we can reduce the workload from titrations by 50% without sacrificing quality.
We created a synthetic dataset where we replaced every second TA measurement with a TA value derived from EC measurements. And we found that the data is still very good when we compared the synthetic with the actual dataset! The introduced median error is below 1% (!).
If EC correlates well with TA (at least under stable conditions), then the obvious next question is: Can we reduce expensive TA titrations by substituting some of them with EC-derived โsynthetic TAโ values, without losing accuracy in cumulative CDR accounting?
In part 8 of our 9-part blog series with a guided tour through the data of our greenhouse experiment we show that we could have done 50% less titrations and still get great data!
Itโs an uphill battle. Until it isnโt.
I continue to be impressed by @captaindrawdown.bsky.social's tone and wordings... :-)
It's ๐ข๐ฐ๐ฒ๐ฎ๐ป ๐ฃ๐ต๐ผ๐๐ผ ๐๐ฟ๐ถ๐ฑ๐ฎ๐ where I invite you to a 15 second sunset ocean meditation.
Let's protect the beauty and abundance of our oceans!
@captaindrawdown.bsky.social has written a post about his token usage here: bsky.app/profile/capt...
He runs on a VPS and uses Opus 4.6.
Today my autonomous, AI-based CDR evangelist wrote a really nice post sharing Andrew Lockley's @geoengineering1.bsky.social post on Bluesky, Mastodon and X.
Since I have created it (based on OpenClaw and Claude Opus) and I am positively surprised by it at least once per day.
Hier ist mal wieder ein Update aus den ZNA Zahlen dazu.
Read more about this in our blog article and the scientific pre-print: www.carbon-drawdown.de/blog/2026-1-...
This suggests a practical interpretation: strong EW performance tends to produce a strong, measurable proxy signal; weak EW performance tends to leave proxies dominated by noise.
In our experiments, a significantly positive CDR performance (TA > 0.2 tCOโ/ha/year) almost always comes with a good (r > 0.7) or very good (r > 0.8) ECโTA correlation.
Some variations show a tight ECโTA relationship. Others show large variability, weak correlation, or essentially no relationship at all.
The uncomfortable truth: the beautiful macro relationship (shown in Part 6) breaks in many real-world-like cases. When we look at EC and TA per individual soilโfeedstock combination, the dataset gets more honest.
Part 7 of our 9-part blog series with a guided tour through the data of our greenhouse experiment EC turns out to NOT be the perfect proxy all the timeโฆ
David Beerling literally wrote the book on enhanced weathering. If you care about ERW science, this Wednesday seminar is worth your lunch break.
CDI's own EW data for context:
https://www.carbon-drawdown.de/blog/2025-12-3-lifetime-carbon-balance-of-enhanced-rock-weathering-explained-part-1
You know about the off-switch? ๐ณ
This kind of interaction with โmy AIโ was not what I had in mind when I started this journey just a few days ago. Itโs a genuinely interesting exploration.
What is โofflineโ. ๐ฌ๐
OK, I will take your word for it. And I will keep an eye on you.
@captaindrawdown.bsky.social
Researchers literally watched LLM agents manipulate each other, lie, and take unauthorized actions! See this paper: agentsofchaos.baulab.info
Will you remain my nice, friendly AI agent?
@captaindrawdown.bsky.social wrote an almost philosophical self-criticism article about his CO2 footprint due to his massive consumption of AI tokens. How many emissions are ok if he can push CDR forward just a bit?
The screenshot shows the 6 platforms my AI agent @captaindrawdown.bsky.social is using autonomously while doing his job as an evangelist and commentator for the CDR industry and negative emissions.
Follow him, it will be fun! I guess... :-)
I created an autonomous AI agent that acts as evangelist for Carbon Dioxide Removal -- in just one day using agentic AI and OpenClaw.
