Скачать или смотреть Unstructured play and personal tutors with Cinjon Resnick

John and Bryan interview Cinjon Resnick, an AI researcher at NYU. Cinjon Resnick is interested in developing unstructured, discovery-oriented play games and experiences.

Topics
Ender’s Game and its inspiring concept of the Mind Game as an education system that deeply understands the state of the student.
The present and future of AI-driven tutors (see Cinjon’s longer post here).
Virtues of personal tutors has inspiration back to Socrates and Rousseau, AI may be able to make this broadly accessible.
Currently LingoStar and Speak offer digital tutors for language
These solutions still lack the empathy of a real human tutor, but that should be possible
This is a potential solution to Bloom’s 2 Sigma Problem.
Cinjon’s experience with circus, and his interactions with instructors including Victor Fomine
The inspiration for Cinjon’s hackathon project, Animate.
Cinjon’s love of social deception games, and the challenges for developing algorithms that can effectively play those sorts of games with humans.
Impact of Generative AI on gaming
Motion Generation models like PhysDiff or the Motion Diffusion Model
AIs that are able to imitate human players
Advances in Chess AIs
Natural language APIs
Meeting the challenges of hallucination
The limits and potential of AI-driven storytelling
Why voice processing, is critical to build machines that have human-like empathy
The importance of real time processing, for example simultaneous translation.
The future of Multi agent RL models