Carrie Nordlund
Showing 1–3 of 3 transcripts.
- Milken Institute1h 0m
Powering Play: Leaders Defining the New Age of Gaming | Global Conference 2025
Andrea Rene, Drue Kataoka, Michael Metzger, Gregory Milken, Sean Shoptaw, Anna Sweet, Amanda Han, Kate Leahy, Carrie Nordlund, Michael Minazieri, Tamara Shapiro Ledley, Gregory Rubinstein
In Q1 2025, the gaming sector rebounded with $4.4 billion in M&A activity driven by strategic IP acquisitions from tech giants like Netflix and non-gaming entertainment firms seeking transmedia expansion. Simultaneously, AI tools are democratizing development by compressing production timelines and enabling solo creators to build billion-dollar franchises, though legal uncertainties regarding copyright remain a significant hurdle. Industry leaders predict that by 2030, gaming will subsume traditional media, with top global IPs originating from games and studio leadership increasingly defined by gaming expertise.
- Y Combinator41 min
Better AI Models, Better Startups
Gary, Jared, Harj, Diana, Melanie Warrick, Mark Mandelmann, Mark Blythington, Joel Morton, Jordan, Francesc Campoy Flores, Carrie Nordlund
The event analyzes a strategic shift where startups can thrive by building specialized vertical B2B tools and niche consumer products rather than competing with major labs on general-purpose interfaces. It highlights how advanced capabilities like massive context windows and multimodal reasoning create new opportunities in sectors such as robotics, legal tech, and personalized agents while maintaining RAG infrastructure for enterprise data control. Ultimately, the consensus advises founders to leverage these model improvements to automate complex workflows, citing historical precedents where specialized players succeeded by avoiding head-on competition with tech incumbents.
- Y Combinator51 min
Joan Lasenby on Applications of Geometric Algebra in Engineering
Joan Lasenby, Craig Cannon, Mark Mandelmann, Carrie Nordlund
A joint project between the Engineering and Architecture departments at Cambridge utilizes Geometric Algebra to enable drones to reconstruct the built environment through line-based computer vision, overcoming the limitations of traditional point-cloud methods. By leveraging this mathematical framework to unify scalars, vectors, and higher-dimensional primitives, the researchers facilitate coordinate-free motion extraction and sensor fusion for complex robotic tasks. While the approach prioritizes developer productivity and geometric clarity over raw computational speed, it faces adoption barriers due to its steep learning curve despite surging interest from younger engineers.