9 Apr 2026
|
Mike Boland
AWE Talks: AI Reality Check
Welcome back to AWE Talks, our series that revisits the best AWE conference sessions. With UnitedXR 2025 concluded, we have a fresh batch of session footage to sink our teeth into for weeks to come.
We continue the action this week with a focus on AI's continued convergence with XR. Though opportune and underway, there are challenges that need to be acknowledged. Jay Latta gives us the reality check.
See the summarized takeaways below, along with the full session video. Stay tuned for more video highlights each week and check out the full library of conference sessions on AWE’s YouTube Channel.
We continue the action this week with a focus on AI's continued convergence with XR. Though opportune and underway, there are challenges that need to be acknowledged. Jay Latta gives us the reality check.
See the summarized takeaways below, along with the full session video. Stay tuned for more video highlights each week and check out the full library of conference sessions on AWE’s YouTube Channel.
Speakers
Jay Latta: The Fusionists
Key Takeaways & Analysis
– AI's early stages involve mostly hype and exuberance, with relatively little caution.
– Similarly, challenges are often understated in the opportunity to converge AI and XR.
– AI may appear to be intelligent and valuable at times, but it's inherently held back.
– Given that it's trained on online human content, its reliability is questionable.
– This leads to well-known hallucinations today and potentially bigger problems tomorrow.
– As AI slop proliferates, it becomes the training data that's fed back into LLMs.
– Known as model collapse, this could cause AI's reliability issues to grow exponentially.
– Back to the convergence with XR, all of these challenges are amplified when immersive.
– In other words, the potential for AI's harms is heightened when experienced viscerally.
– This could materialize in AI agents that manipulate user behavior in commercial ways.
– But though these cautions are real, they don't preclude the fruitful convergence of XR and AI.
– It just underscores the need for thoughtful and responsible integrations and guardrails.
– This will be a moving target as AI and XR evolve and converge, requiring close attention.
For more color and depth, see the full session below...
Want more XR insights and multimedia? ARtillery Intelligence offers an indexed and searchable library of XR intelligence known as ARtillery Pro. See more here.
– AI's early stages involve mostly hype and exuberance, with relatively little caution.
– Similarly, challenges are often understated in the opportunity to converge AI and XR.
– AI may appear to be intelligent and valuable at times, but it's inherently held back.
– Given that it's trained on online human content, its reliability is questionable.
– This leads to well-known hallucinations today and potentially bigger problems tomorrow.
– As AI slop proliferates, it becomes the training data that's fed back into LLMs.
– Known as model collapse, this could cause AI's reliability issues to grow exponentially.
– Back to the convergence with XR, all of these challenges are amplified when immersive.
– In other words, the potential for AI's harms is heightened when experienced viscerally.
– This could materialize in AI agents that manipulate user behavior in commercial ways.
– But though these cautions are real, they don't preclude the fruitful convergence of XR and AI.
– It just underscores the need for thoughtful and responsible integrations and guardrails.
– This will be a moving target as AI and XR evolve and converge, requiring close attention.
For more color and depth, see the full session below...
Want more XR insights and multimedia? ARtillery Intelligence offers an indexed and searchable library of XR intelligence known as ARtillery Pro. See more here.
