Filma25

Shaviro, S. (2016). Post-cinematic affect. In S. Denson & J. Leyda (Eds.), Post-cinema (pp. 289–308). Reframe Books. : This paper is a conceptual synthesis. No empirical data was collected. The term “Filma25” is used here as a theoretical construct; any resemblance to an existing trademark or product is coincidental.

Manovich, L. (2013). Software takes command . Bloomsbury. filma25

This paper has three objectives: (1) to define Filma25 as a coherent conceptual model, distinguishing it from earlier digital and post-digital movements; (2) to analyze its core technological and organizational pillars; and (3) to evaluate its cultural and aesthetic implications. The central thesis is that Filma25 is not merely a technical upgrade but a paradigm shift from representation to generation, from distribution to accessibility, and from director-centered auteurism to distributed algorithmic authorship. Scholarship on post-cinema (Denson & Leyda, 2016) has emphasized the dissolution of classical dispositif—the dark room, the unified spectator, the linear narrative. Steven Shaviro (2016) argues that digital media have replaced indexicality with algorithmic calculation. More recently, Francesco Casetti (2021) introduced the concept of “relocation,” whereby cinema’s functions migrate to new dispositifs (smartphones, VR headsets, smart glasses). Filma25 radicalizes this relocation by making the algorithm the primary authorial agent. Shaviro, S

We conclude that Filma25 is not a prediction but a provocation . It maps a plausible trajectory from today’s AI-assisted editing (e.g., Adobe Firefly video) and crypto-funded indie films (e.g., “The Milk of Dreams,” 2024) toward a fully generative, decentralized, and dynamic cinema. Scholars and practitioners would do well to engage with its implications before the paradigm arrives unbidden. Brooks, T., Holynski, A., & Efros, A. A. (2024). Video generation models as world simulators. OpenAI Technical Report . 289–308)

In parallel, generative AI research in computer vision (Ho et al., 2022; Brooks et al., 2024) has demonstrated text-to-video synthesis with increasing temporal coherence. While early models (Runway Gen-1, Pika Labs) produced short, surreal clips, newer systems (OpenAI’s Sora, Google’s Lumiere) achieve minute-long sequences with causal continuity. For Filma25, these models are not auxiliary tools but central production engines.

Ho, J., Chan, W., Saharia, C., et al. (2022). Imagen video: High definition video generation with diffusion models. arXiv:2210.02303 .

Filma25, post-cinema, generative AI, algorithmic authorship, decentralized film production, DAO, dynamic narrative. 1. Introduction Cinema has always been a technology-driven art form. From the Lumières’ cinématographe to digital intermediate workflows, each major shift in production and distribution has redefined what “film” means. However, the mid-2020s present a unique inflection point. Generative artificial intelligence (GenAI) now produces moving images from text prompts; blockchain technologies enable decentralized funding through tokenized collectives; and streaming platforms have habituated audiences to algorithmic personalization. Within this context, the term Filma25 emerges from online creator communities, experimental film forums, and speculative design discourse as a shorthand for a new mode of filmmaking—one that is neither purely human-authored nor industrial, neither fixed-length nor theater-bound.