• VP Land
  • Posts
  • DeepSeek and Film Industry, Blackmagic's $7K URSA Cine, U.S. Copyright on AI

DeepSeek and Film Industry, Blackmagic's $7K URSA Cine, U.S. Copyright on AI

In the latest episode of VP Land, hosts Joey Daoud and Addy Ghani explored several significant developments in the tech and media landscape, including the emergence of DeepSeek, a new AI model that promises to revolutionize the way we think about artificial intelligence in creative industries. They also discussed Blackmagic's innovative RGBW sensor and the implications of the U.S. Copyright Office's stance on AI-generated works.

Understanding DeepSeek

DeepSeek has emerged as a noteworthy player in the AI space, especially given its reported efficiency and lower training costs compared to existing models from major companies like OpenAI and Google.

While some question the $5 million claimed cost of training, the overarching narrative emphasizes that DeepSeek has achieved remarkable results without the exorbitant expenses typically associated with developing large language models.

  • Efficiency Over Expense: Traditional models require massive data centers and extensive GPU resources, often costing billions to develop. In contrast, DeepSeek's architecture allows it to run efficiently on fewer machines, making it accessible for smaller studios or individual developers.

  • Open Source Advantage: The open-source nature of DeepSeek means that researchers can modify and adapt it for various applications, potentially democratizing access to powerful AI tools previously reserved for large corporations.

Implications for Media and Entertainment

The discussion highlighted how DeepSeek could reshape the media and entertainment landscape. As companies like Lionsgate begin training their proprietary models using their own intellectual property (IP), there is a shift towards more controlled and secure data management practices.

  • In-House Development: Major studios are increasingly interested in developing their own AI models rather than relying on external vendors. This trend is driven by a desire to maintain control over sensitive data and proprietary content.

  • Disruption of Existing Business Models: With an open-source alternative like DeepSeek available, traditional software companies may face challenges in retaining clients who can now create tailored solutions at a fraction of the cost.

Daoud noted that "the studios are really sensitive and secure with their data," emphasizing their preference for keeping AI model training within their own facilities. This shift could lead to a significant recalibration in how software companies approach partnerships with media entities.

The Future of Control in Creative Workflows

As creators increasingly rely on AI tools for content generation, a key theme emerged regarding control over outputs. Both hosts expressed a desire for more granular control within generative models—something that current tools often lack.

  • User Interface Improvements: The idea of showing users how an AI arrived at its conclusions could enhance interactions with these systems. By providing transparency into the decision-making process of models like DeepSeek, users can better refine their prompts and achieve desired results.

  • Pixel-Level Control: In industries such as film production where precision is paramount—think rotoscoping or color grading—there is a clear need for tools that allow creators to exert fine control over every aspect of their work.

The hosts also dove deep into the advancements in camera technology, specifically focusing on Blackmagic Design's innovative sensor technology. The conversation highlighted the evolution of imaging sensors, the introduction of a new RGBW sensor, and its implications for filmmakers.

With the rise of high-resolution cameras like Blackmagic URSA Cine 12K model, understanding the underlying technology becomes crucial for professionals in the film industry.

The RGBW Sensor: A Game Changer

Blackmagic has taken existing sensor technology further by introducing a fourth photo site dedicated to white light (RGBW). This addition allows for improved light capture across all wavelengths, potentially enhancing image quality in various lighting conditions.

The RGBW sensor represents a significant shift in how cameras process color information. By capturing white light alongside red, green, and blue, Blackmagic's design aims to create more accurate and vibrant images.

Practical Applications for Filmmakers

For filmmakers, these advancements translate into tangible benefits:

  • Versatility in Resolution: The new sensor allows users to shoot at various resolutions (12K down to 4K) without sacrificing image quality. Unlike traditional methods that involve pixel skipping or cropping—which can lead to aliasing and loss of field of view—Blackmagic's approach utilizes all available photo sites effectively.

  • Low-Light Performance: The incorporation of a white channel suggests improved performance in low-light conditions. By capturing a broader spectrum of light, filmmakers can expect cleaner images with less noise during nighttime shoots.

  • Integration with Editing Software: As filmmakers increasingly rely on software like DaVinci Resolve for post-production, understanding how camera data interacts with these platforms is essential. The synergy between Blackmagic cameras and Resolve may allow for optimized workflows that enhance final image quality through advanced noise reduction techniques tailored specifically for Blackmagic RAW files.

Blackmagic URSA Cine 12K Now Available in a Body-Only Package

Last week, Blackmagic Design unveiled a streamlined version of the high-end URSA Cine 12K, providing a budget-friendly alternative for seasoned cinematographers and rental houses.

Netflix Eyeline Studio's Flow AI Model

Additionally, Eyeline Research's Go-with-the-Flow AI model was mentioned as another innovative development in AI technology. While details were sparse during the discussion, it indicates a broader trend toward integrating AI into various stages of production processes.

The U.S. Copyright Office is currently evaluating how AI-generated works should be protected under existing copyright laws. This is a crucial area for filmmakers and content creators as it could define ownership rights over AI-generated content.

In conclusion, the conversation between Joey Daoud and Addy Ghani underscores significant shifts occurring within the tech landscape as innovations like DeepSeek emerge. These developments not only promise to enhance creative workflows but also challenge existing business models within media and entertainment.

Reply

or to participate.