Speaker
Shafik Quoraishee
2 sessions in this library.
- Local Agentic Theory For Mobile Games — Shafik Quoraishee & Joanne Song, The New York Times
This talk explores the application of agentic AI principles to the development of mobile games, focusing on how local agents can enhance game mechanics and player experiences. The presenters discuss the potential for AI to create more dynamic and responsive game environments by processing information and making decisions directly on the device. This approach aims to reduce latency and enable richer, more complex gameplay interactions.
- New York Times' Connections: A Case Study on NLP in Word Games — Shafik Quoraishee, NYT Games
This talk explores the New York Times Connections word game as a case study for evaluating AI's abstract reasoning capabilities. The presenter, a game developer at the NYT Games team, details independent research into how AI can approach solving the game, which involves grouping 16 words into four sets of four related terms. The research investigates the game's potential as a benchmarking tool, highlighting how its intentional decoys and need for explainable reasoning challenge current AI models.