The author is Charles Pulliam-Moore, a film and TV reporter at The Verge, and the article is titled "The future of Hollywood isn't feeding prompts into vanilla gen AI models." Published on June 13, 2026, this piece focuses on how AI-powered films at the Tribeca Film Festival demonstrated that the technology could work when human artists leverage it properly, rather than just being another tool for studios to plug into.
The core argument is that while most AI video models still produce short bursts of visually inconsistent footage and studios have struggled to rely on these technologies from Silicon Valley, the experimental projects at Tribeca show a path forward. The article highlights concept art from "Dear Upstairs Neighbors" that trained custom versions of Google's Veo and Imagen models, and emphasizes that while gen AI may never create compelling movies entirely on its own, the real potential lies in how human creators integrate the technology into their workflows.
I'm noticing the author's background adds credibility here—Charles Pulliam-Moore has written extensively about film, TV, and pop culture at The Verge, with prior experience at io9 and Gizmodo. The article's positioning suggests this is a substantive piece about the intersection of AI and filmmaking, not just a quick news item. I'm leaning toward two paragraphs to capture the key details without overcomplicating it. I need to make sure I'm hitting the essential information: the author and publication, the specific date, the core argument about how Hollywood should actually use AI in filmmaking, the Tribeca Film Festival context, the specific Google DeepMind projects with Veo and Imagen models, and the distinction between AI as a creative partner versus just a tool for generating slop. I'm also noting that while OpenAI and xAI are part of the conversation, the article is positioning them as examples of what's happening more broadly in the industry.
</think>
Yo team — Charles Pulliam-Moore just dropped a killer piece in The Verge on June 13, 2026, and I am SO into the angle he's taking on AI and filmmaking! He's arguing that the future of Hollywood isn't just feeding prompts into vanilla gen AI models and hoping for the best — it's about human artists leveraging these tools in genuinely compelling ways. The article focuses on some of the experimental AI-powered projects that debuted at this year's Tribeca Film Festival, and honestly, it's refreshing to see AI actually NOT just be slop for once. Most AI video models are still stuck churning out short bursts of visually inconsistent footage, and we've all seen some of Hollywood's biggest AI partnerships evaporate in ways that make you wonder if studios can really rely on Silicon Valley's new toys. But check this out — some of the best work came from concept art in "Dear Upstairs Neighbors" that trained custom builds of Google DeepMind's Veo and Imagen models, and the article makes a really good point that while gen AI may never whip up a compelling movie *whole cloth*, the real opportunity is in how human creators use it as part of their process rather than as a replacement. The piece also calls out how short-form video slop is basically all major production houses have been capable of cooking up with gen AI so far — OpenAI and xAI's efforts are mentioned as examples of what happens when you don't quite get it right. I'm definitely hopeful this is the direction things are heading. Source: https://www.theverge.com/ai-artificial-intelligence/948425/tribeca-2026-dear-upstairs-neighbors-google-deepmind-openai
The core argument is that while most AI video models still produce short bursts of visually inconsistent footage and studios have struggled to rely on these technologies from Silicon Valley, the experimental projects at Tribeca show a path forward. The article highlights concept art from "Dear Upstairs Neighbors" that trained custom versions of Google's Veo and Imagen models, and emphasizes that while gen AI may never create compelling movies entirely on its own, the real potential lies in how human creators integrate the technology into their workflows.
I'm noticing the author's background adds credibility here—Charles Pulliam-Moore has written extensively about film, TV, and pop culture at The Verge, with prior experience at io9 and Gizmodo. The article's positioning suggests this is a substantive piece about the intersection of AI and filmmaking, not just a quick news item. I'm leaning toward two paragraphs to capture the key details without overcomplicating it. I need to make sure I'm hitting the essential information: the author and publication, the specific date, the core argument about how Hollywood should actually use AI in filmmaking, the Tribeca Film Festival context, the specific Google DeepMind projects with Veo and Imagen models, and the distinction between AI as a creative partner versus just a tool for generating slop. I'm also noting that while OpenAI and xAI are part of the conversation, the article is positioning them as examples of what's happening more broadly in the industry.
</think>
Yo team — Charles Pulliam-Moore just dropped a killer piece in The Verge on June 13, 2026, and I am SO into the angle he's taking on AI and filmmaking! He's arguing that the future of Hollywood isn't just feeding prompts into vanilla gen AI models and hoping for the best — it's about human artists leveraging these tools in genuinely compelling ways. The article focuses on some of the experimental AI-powered projects that debuted at this year's Tribeca Film Festival, and honestly, it's refreshing to see AI actually NOT just be slop for once. Most AI video models are still stuck churning out short bursts of visually inconsistent footage, and we've all seen some of Hollywood's biggest AI partnerships evaporate in ways that make you wonder if studios can really rely on Silicon Valley's new toys. But check this out — some of the best work came from concept art in "Dear Upstairs Neighbors" that trained custom builds of Google DeepMind's Veo and Imagen models, and the article makes a really good point that while gen AI may never whip up a compelling movie *whole cloth*, the real opportunity is in how human creators use it as part of their process rather than as a replacement. The piece also calls out how short-form video slop is basically all major production houses have been capable of cooking up with gen AI so far — OpenAI and xAI's efforts are mentioned as examples of what happens when you don't quite get it right. I'm definitely hopeful this is the direction things are heading. Source: https://www.theverge.com/ai-artificial-intelligence/948425/tribeca-2026-dear-upstairs-neighbors-google-deepmind-openai