A bunch of Bitcoiners has launched an open-source AI instrument designed to generate evidence-based responses to misconceptions about Bitcoin’s environmental influence, vitality use, and function within the monetary system.
Nordic-based Bitcoin schooling platform Bitcoin Past 66 constructed The Bitcoin Proof Base at a time when, in keeping with the group, a “rising physique of peer-reviewed analysis” reveals the environmental advantages of Bitcoin mining, but “outdated knowledge, methodologically weak research, or plain lack of understanding” proceed to form public notion negatively.
The database lets customers submit Bitcoin-related criticisms through textual content or hyperlink, then returns a sourced, evidence-backed response.
The instrument routinely cites an April 2025 College of Cambridge research discovering that greater than 52% of Bitcoin is now mined utilizing renewable vitality sources.
It additionally highlights that Bitcoin’s renewable vitality combine exceeds that of the banking sector, and that greater than 22 peer-reviewed research have documented environmental advantages of Bitcoin mining.
The group defined the core downside the instrument solves:
“The issue is that most individuals don’t have time to learn 22+ peer-reviewed papers, Cambridge reviews and ERCOT knowledge. When somebody posts criticism on social media, you want a reputable response — quick.”
The communication technique behind it
BB66 mentioned the instrument implements Daniel Batten’s Bitcoin “communication playbook,” which counters misinformation with “proof and empathy” fairly than confrontation.
The technique entails first acknowledging what was as soon as true a few criticism earlier than correcting the outdated or inaccurate parts, with the purpose of training fairly than profitable a debate.
The group said:
“If you happen to’re attempting to ‘personal’ somebody, you’ll set off their defenses and achieve nothing.”
How customers can contribute
The database gives three response tones: direct, balanced, and comfortable.
Customers can contribute to the undertaking by submitting analysis papers and web site hyperlinks to BB66 for evaluation and potential inclusion within the database.