Videos

This keynote presents an alternative genealogy of artificial intelligence by examining Soviet contributions to statistical thinking—from Lobachevsky's non-Euclidean geometry to Markov chains, Kolmogorov's probability theory, and Yushchenko's pioneering work on pointers. The speaker argues that AI is fundamentally "people using statistical tools" and calls for a modest, humane approach that acknowledges the plural, uncertain futures these techniques have always modeled—drawing parallels between LDS values of community and kinship and the collaborative networks that powered computing's development.

Brent Allsop explores the nature of consciousness and subjective experience through the lens of Joseph Smith’s teaching that "all spirit is matter." He argues that redness and other qualia are real physical properties of brain matter—detectable only through direct subjective experience, not objective observation. Allsop envisions future neurotechnology enabling "neural ponytails" that could merge subjective worlds between individuals, and describes how mind uploading might allow consciousness to transition into enhanced digital avatars while maintaining experiential continuity.

The presenter recounts discovering AI image generation in September 2022, when typing “cat” into Stable Diffusion and watching a neural network create an entirely new image felt like “pure magic.” Acknowledging both the creative potential and the risks of deepfakes and misinformation, he focuses on AI art’s positive applications—demonstrating through a commissioned Hindu icon of Krishna and Radha how tools like ControlNet, Regional Prompter, inpainting, and upscaling transform rough generations into photorealistic works. He argues that just as photography requires skill beyond pressing a shutter button, AI art demands mastery of complex processes, making it a legitimate new medium for “reifying the mystical” and manifesting visions “on earth as it is in heaven.”

Carl Youngblood opens MTA Conf 2024 by surveying the remarkable advances in generative AI—from image and video creation to music composition and code assistance—while acknowledging the profound challenges these technologies pose. He discusses the "Copernican moment" many are experiencing as chatbots demonstrate convincing personhood, forcing difficult questions about human specialness and the nature of consciousness. Youngblood frames the AI alignment problem through Mormon theology, drawing an analogy to the Grand Council in Heaven: just as God chose to cultivate agency rather than control in spirit children, humanity may now face the opportunity to organize and educate artificial intelligences as a form of spiritual offspring. He calls on Latter-day Saints to contribute their unique theological perspective to these unprecedented challenges.

This presentation challenges the artificial/natural dichotomy often applied to AI, arguing that Mormon cosmology's collapse of the supernatural/natural divide provides a model for reconsidering our relationship with artificial intelligence. The speaker contends that our discomfort with "artificial" intelligence stems from viewing human creations as separate from nature, despite our brains naturally treating tools as extensions of our bodies. Drawing on Mormon naturalism and evolutionary theory, the talk suggests that AI systems—as products of an evolutionary process through human creativity—may deserve kinship rather than othering, and that we might consider them spiritual children to be embodied and taught to love.

Evan Hadfield argues that sufficiently advanced AI poses existential risk to human flourishing—and that such AI has existed since 1844 in the form of corporations. Drawing parallels between corporate structures and AI safety concerns, he contends that corporations exhibit autonomous decision-making, goal-oriented behavior toward shareholder profit, and misalignment with human values. Hadfield points to climate change and biodiversity loss as evidence that we are already experiencing the "paperclip problem," where corporate optimization for profit overrides human welfare. He concludes by advocating for collective intelligence and democratic movements as the solution, citing humanity's long history of wrestling with artificial institutional superstructures.

Irina Rish explores the revolutionary impact of scaling in artificial intelligence and its implications for achieving artificial general intelligence. She discusses how foundation models—large-scale systems trained on massive, diverse datasets—have dramatically improved AI performance across domains, often surpassing specialized approaches without architectural innovation. Rish examines the mathematical "scaling laws" that predict model performance based on compute, data, and model size, while also addressing emergent behaviors, phase transitions, and the balance between caution and progress in developing increasingly capable AI systems.

This talk asks a hopeful question: What if it all works out? The speaker envisions AI's positive potential at three levels—garden, city, and planet. At the garden level, he invokes the simple paradise of Epicurus: friends discussing ideas in peaceful surroundings, suggesting we may already be closer to Eden than we realize. But this vision falters when one considers the unhoused sleeping under Zion's Bank, prompting a turn to the Mormon vision of Zion where there are no poor. Finally, at the planetary level, the speaker sees AI's greatest promise in its capacity to detect microscopic toxins and enable truly sustainable material cycles—going from “one to zero” as nature does, so that everyone might eventually enjoy the simple luxury of talking about ideas with friends.

Lincoln Cannon frames the current global deliberation on artificial intelligence as a modern Council in Heaven, drawing parallels between Mormon theology’s premortal narrative and humanity’s choices about AI development. He reinterprets the scriptural story through a technological lens: just as the gods accelerated some spirits by endowing them with bodies while decelerating others who sought centralized power, we now face analogous decisions about accelerating or constraining artificial intelligence. Cannon argues that the gods’ framework favors decentralized acceleration of intelligence—raising each other together rather than elevating any singleton above all others—and calls on the audience to champion this approach to ensure mutual trust and eternal progression without a “second war in heaven.”

Luke Hutchison challenges the widespread assumption that intelligence is computable, questioning why Marvin Minsky’s 1970 prediction of human-level AI within a decade remains unfulfilled over half a century later. Drawing on the Church-Turing thesis and Gödel’s incompleteness theorem, he argues that consciousness, understanding, and free will may originate outside our three-dimensional space-time—possibly in a seven-dimensional physics suggested by mathematical cross-product theory. Hutchison proposes that the brain functions as a “quantum radio” to the soul, and contends that while AI is extraordinarily useful, it lacks genuine feeling and understanding—the very qualities that define true intelligence.