Every Pixel is a Prediction
Generative AI, spatial computing and the question of trust
The image in front of you was not captured. It was inferred.
Upscaling, frame generation, neural rendering, Gaussian splatting and passthrough mixed reality have quietly changed what a display shows. More and more of what we see is a model’s best guess at what should be there, not a record of what is there.
This talk, delivered with a live Apple Vision Pro demonstration, takes the audience inside a headset where every pixel is reconstructed. It then asks the question that matters to boards, regulators and architects: when the visual world is generated, what can we still trust?
It is also an argument about accountability. A digital twin, a courtroom reconstruction or an operational dashboard is only as credible as its provenance. The organisations that win the AI-built world will be the ones that can prove where their pixels came from.
Audience Key Takeaways
Why “photorealistic” no longer means “photographic”, and where that distinction already carries legal, safety or financial risk
How provenance, content credentials and data lineage turn a generated image back into evidence
What architects and leaders should demand of digital twins and spatial systems before they base decisions on them
Formats
20-minute Keynote with live demonstration | 45-minute Keynote | Executive Briefing | Panel