An ex-Intel CEO's mission to build a Christian AI: 'hasten the coming of Christ's return' The Guardian's journalism is independent. We will earn a commission if you buy something through an affiliate link. I n March, three months after being forced out of his position as the CEO of Intel and sued by shareholders, Patrick Gelsinger took the reins at Gloo, a technology company made for what he calls the "faith ecosystem" - think Salesforce for churches, plus chatbots and AI assistants for automating pastoral work and ministry support. The Guardian's journalism is independent. We will earn a commission if you buy something through an affiliate link. The former CEO's career pivot is taking place as the US tech industry returns to the political realm as a major revenue stream.

The complementarity-determining regions of antibodies are loop structures that are key to their interactions with antigens, and of high importance to the design of novel biologics. Since the 1980s, categorizing the diversity of CDR structures into canonical clusters has enabled the identification of key structural motifs of antibodies. However, existing approaches have limited coverage and cannot be readily incorporated into protein foundation models. Here we introduce ImmunoGlobulin LOOp Tokenizer, Igloo, a multimodal antibody loop tokenizer that encodes backbone dihedral angles and sequence. Igloo is trained using a contrastive learning objective to map loops with similar backbone dihedral angles closer together in latent space. Igloo can efficiently retrieve the closest matching loop structures from a structural antibody database, outperforming existing methods on identifying similar H3 loops by 5.9\%. Igloo assigns tokens to all loops, addressing the limited coverage issue of canonical clusters, while retaining the ability to recover canonical loop conformations. To demonstrate the versatility of Igloo tokens, we show that they can be incorporated into protein language models with IglooLM and IglooALM. On predicting binding affinity of heavy chain variants, IglooLM outperforms the base protein language model on 8 out of 10 antibody-antigen targets. Additionally, it is on par with existing state-of-the-art sequence-based and multimodal protein language models, performing comparably to models with $7\times$ more parameters. IglooALM samples antibody loops which are diverse in sequence and more consistent in structure than state-of-the-art antibody inverse folding models. Igloo demonstrates the benefit of introducing multimodal tokens for antibody loops for encoding the diverse landscape of antibody loops, improving protein foundation models, and for antibody CDR design.

These hypothetical scenes reflect real capabilities increasingly woven into places of worship nationwide, where spiritual care and surveillance converge in ways few congregants ever realize. Where Big Tech's rationalist ethos and evangelical spirituality once mixed like oil and holy water, this unlikely amalgam has given birth to an infrastructure already reshaping the theology of trust--and redrawing the contours of community and pastoral power in modern spiritual life. The emerging nerve center of this faith-tech nexus is in Boulder, Colorado, where the spiritual data and analytics firm Gloo has its headquarters. Gloo captures congregants across thousands of data points that make up a far richer portrait than any snapshot. From there, the company is constructing a digital infrastructure meant to bring churches into the age of algorithmic insight.