For the last keynote of Missional AI, Steele Billings & Pat Gelsinger from gloo, are chatting about faith, technology, and innovation.

Pat talked about the intersection of faith, family, and life.

• very metric driven… made it a game with a scoreboard

Pat described his spiritual disciplines.

• scripture each morning
• prayer and fasting

Quantum Computing/AI

• qubits (quantum bits)
  • 1MM qubits is the “magic” number and Pat says one of his playground companies is likely to put out a 2MM qubit machine in the coming years.
• offers the ability to be billions of times more efficient
• Many issues are quantum issues, so we need quantum computers to address these issues.

Why is AI different than previous technological advancements?

1. AI is building on 20 years of progress.
2. Computers are now adapting to us.
3. AI is an infinitely parallel/scalable problem (so there are decades of improvement possible)

• AI is going to improve quality of life.
• AI is going to democratize many areas (poverty, education, etc.)
• The benefits of quantum computing should come at scale in the next 20 years.
• BUT we need to be more efficient and less energy-hungry to progress well.

How does the faith ecosystem shape the future of these technologies?

• Faith was essential in language, education, and healthcare (we’ve done this before).
• We need to focus more on how we’re alike than how we’re different.
  • We need to come together.
• gloo wants to be a facilitator to help folks make important progress

Pat’s Challenge to the Missional AI Community

• We need to come together for a shared vision!
• Let’s come together for that vision!

Next up Jean Maillard, who works on Meta’s Fundamental AI Research team, is talking about some of the projects he’s worked on in the language technologies space.

The technologies:

1. No Language Left Behind (NLLB) - a machine text-to-text translation.
2. UNESCO Language Translator - uses NLLB
3. Open Language Data Initiative - a “shared task” to extend the language support of models
   • a “shared task” is a partnership in the research community where many researchers collaborate to solve a single problem.
4. Seamless Communication - speech-to-text, text-to-speech, and speech-to-speech
   • Interestingly, you can change languages in real time, and the model can handle that.
5. Massively Multilingual Speech Model - Automatic Speech Recognition (auto captioning) and Text-to-Speech (additional languages)

Challenges in the Multilingual Language Model Space:

1. Resource Efficiency
2. Data Efficiency
3. Data Quality

The Missional AI leadership team discussed the future of the Missional AI Summit and the opportunities to make it better.

There is a hope to keep the conversation going. Missional AI has partnered with FaithTech and you can join the conversation at: https://aicollective.faith/

Here are some things:

• How can it be more global?
• How can we increase the number of women in the room?
• How can we help more people get involved?

CHALLENGE - Take one thing from the conference and move it forward in the next 30 days.

Next is a highlight from Alex Cook, Head of AI Engineering (I think), on the work that’s happening at gloo.

Guiding Principles

gloo AI chat - join the waitlist –> https://ai.gloo.com/products/chat

gloo AI studio –> https://share.hsforms.com/1nMCLbThTR8C8CG4kXS-zuw1j1lu

gloo AI hackathon in October 2025 –> https://ai.gloo.com/hackathon

Next, Pat Gelsinger of gloo will discuss the future and values-aligned AI.

God is the great conservationist of the good and bad of your life.

Humans have been adapting to computers.

With AI, AI is adapting to humans.

Can we truly trust AI for good?

• Not yet, but we need to be developing this.

Flourishing AI Standards

"Go out and do something wonderful." - Robert Noyce

If we don't hang together. We will fall apart.