Video summary

DO NOT PLAY MW4 (Craziest evidence yet)

Main summary

Key takeaways

Technology

Overview of the Video’s Claims

  • The video claims a new Call of Duty title is coming and argues players should understand what runs “behind the scenes,” not just what appears on-screen.
  • It references an initial warning tweet alleging Call of Duty may access the user’s camera without a clear need (for example, while playing multiplayer).

Investigation Method (Technical)

  • Two channels are credited for “digging into the files” that run alongside Call of Duty.
  • The analysis focuses on monitoring which DLL (Dynamic Link Library) files a game process touches while running, using a tool that tracks runtime dependencies.
  • DLLs are explained as shared code libraries that software loads to reuse existing functionality (which is normal in general).
    • Therefore, the concern is not “does CoD use DLLs?” but which specific DLLs appear and why.

Key Findings Claimed

1) Baseline Check: Black Ops 1

  • The video reports a small, “boring” set of DLLs appearing.
  • It includes ntdll, described as a standard Windows core compatibility dependency.

2) Modern Check: Modern Warfare 3 (More Suspicious)

  • The DLL list is described as “exploding” (more system components showing up in newer games).
  • The list is said to include nvcamera64.dll, described as camera-related.
  • The video questions why a multiplayer shooter would need a camera DLL, implying interaction with camera/vision functionality.

Patent Connections Alleged

  • After finding the camera DLL, the video claims the investigation led to Activision patents involving facial imaging:

    • A patent allegedly describing 2D facial images converted to 3D, including real-time tracking of a player’s face and expressions.
  • A second, more concerning patent is claimed to involve:

    • Driving microtransactions in multiplayer games using engagement signals, including:
      • player engagement metrics
      • input speed/focus
      • psychological states (e.g., frustration and satisfaction)
      • and camera peripherals as one possible input source
  • The video argues these patents connect because:

    • the facial imaging patent is cited inside the microtransaction patent, suggesting an intentional architecture that ties camera/face analysis to monetization.

Claimed Persistence + AI on Idle Resources

  • Another Activision document is cited describing:

    • running/simulating after processing resources go offline
    • distributing NPC simulations across network/user devices
    • using spare capacity
  • The video’s interpretation:

    • the game could use other players’ idle devices / leftover processes to run AI.
    • it frames this as AI trained on real human behavior (matches) to make bots more convincing.
  • The video also claims some players found processes that stayed active after the game was closed, connecting this to lingering simulation/processing.

“Putting it All Together” (Overall Thesis)

  • The video concludes that individually plausible items become concerning when combined:

    • camera-related DLL presence
    • facial imaging patent
    • engagement/frustration-based microtransaction patent (with camera peripherals cited)
    • idle-device simulation/AI persistence concept
  • It argues this could enable games to learn more about the person behind the screen (such as frustration, engagement, and spending behavior) and potentially adapt matchmaking/content/offers in real time.

  • The creator also claims this pattern is not observed in another shooter:

    • XDefiant is described as using a similar live-service engagement/monetization model, but without the camera DLL appearing in its process list.

Reviews / Guides / Tutorials

  • This is framed as a “how the investigation works” walkthrough covering:
    • how to monitor DLL usage at runtime
    • using DLL sightings as leads to search patents
    • correlating systems (camera → facial analysis → engagement/microtransactions → AI/simulation concepts)

Main Speakers / Sources

  • Main speaker: the unnamed video narrator/host (delivering the investigation and conclusions).
  • Digging sources: credited as two “channels” described as “legends” (specific channel names are not provided in the subtitles).

Original video