World Model · podcast knowledge graph

AI-Automated Film Making

2025-06-12 · 43 min · episode 316 · 8 entities

episode page audio

Asserted relationships

  • → hosted by Daniel Whitenack and Chris Benson person
    0.55
    evidence rules-v5
    Feed author/publisher: Daniel Whitenack and Chris Benson
  • → works at Largo.ai company
    0.50
    evidence rules-v5
    CEO of Largo.ai
  • → discusses Technology company
    0.40
    evidence rules-v5
    Feed category: Technology
  • → hosted by Practical AI LLC company
    0.40
    evidence rules-v5
    Feed author/publisher: Practical AI LLC

Entities found in this episode

companys 6

  • mentioned Practical AI LLC company
    0.70
    evidence rules-v5
    Feed author/publisher: Practical AI LLC
  • mentioned Largo.ai company
    0.62
    evidence rules-v5
    CEO of Largo.ai
  • mentioned Technology company
    0.50
    evidence rules-v5
    Feed category: Technology
  • works at Largo.ai company
    0.50
    evidence rules-v5
    CEO of Largo.ai
  • discusses Technology company
    0.40
    evidence rules-v5
    Feed category: Technology
  • hosted by Practical AI LLC company
    0.40
    evidence rules-v5
    Feed author/publisher: Practical AI LLC

persons 2

Episode description as stored
An recent article in Variety was titled: "Sylvester Stallone-Backed Largo.ai Teams With Brilliant Pictures for ‘World’s First Fully AI-Automated Film Company’". Obviously this caught our attention! We sit down with Sami Arpa, CEO of Largo.ai, to unpack how films are developed, funded, and brought to life using AI. We discover how tools like script analysis, financial forecasting, and digital twins are helping creators and studios make smarter decisions.  Featuring: Sami Arpa – LinkedIn Daniel Whitenack – Website , GitHub , X Links: Largo AI Sylvester Stallone-Backed Largo.ai Teams With Brilliant Pictures for ‘World’s First Fully AI-Automated Film Company’  Sponsors: Outshift by Cisco : AGNTCY is an open source collective building the Internet of Agents. It's a collaboration layer where AI agents can communicate, discover each other, and work across frameworks. For developers, this means standardized agent discovery tools, seamless protocols for inter-agent communication, and modular components to compose and scale multi-agent workflows.