A better model doesn't fix Scripture misquotation. A better harness does.
Here's the actual 6-step architecture behind the 67-point accuracy jump, from 32.6% to 100%. Model selection alone never gets you there.
Full study: https://t.co/4XdCMkDluf
It's not a model problem. It's an architecture problem. Our new study found AI Scripture-quotation accuracy jumps from 32.6% to 100% once the model stops generating the verse text itself. Full story in the comments.
Excited to see @therealmoniqued at Women in Apologetics. She spent years in racial justice work before deciding Scripture had a better answer than the frameworks she'd been taught, and co-founded the Center for Biblical Unity (@biblical_unity) because of it. Speaking in Tampa, Sep 11-12.
https://t.co/HsbRDgpmca
We're a Champion Sponsor of the 2026 Women in Apologetics Conference, Sep 11β12 in Tampa. Code VIPDISCOUNT gets you $30 off in-person or $10 off livestream.
Tickets: https://t.co/sE0jUzMBGs
#WomenInApologetics
Generative AI models misquote Scripture. This is not a defect that better training or better access to Bible translations will resolve. The solution is not a better model. It is a better harness. Read our joint study with @FideAILabs: https://t.co/98p8Zm7QQo