This AI Let’s You Make VIDEOS With FACES

This AI Let’s You Make VIDEOS With FACES

by Matt Wolfe

Applied Sciences & Engineering AI — Models & Research UYQArtificial intelligence (AI)UYQFGenerative artificial intelligence
🎙 Matt Wolfe 👥 1.0M 📅 November 13, 2023 ⏱ 13 min 👁 122K 📄 tutorial 🧭 2026-08-28
Available in: English (current) Français

Keywords

Playdaytext-to-videoface swapAI generationDiscord bot

Summary

Matt Wolfe introduces Playday, a new AI text-to-video generator that allows users to personalize videos with their own face. He explains that Playday is developed by Play Labs, a company founded by Chris DeWolfe, co-founder of MySpace, and has received $32 million in seed funding. The tool operates through Discord, is currently free with unlimited generations, and generates videos of about 3 seconds. The unique feature is the ability to upload three selfies to train a face model, which can then be applied to any generated video via a ‘personalize’ button. Wolfe demonstrates the process by creating videos with his own face and then with Elon Musk’s face, showing both successes and limitations, such as issues with beards and profile angles. He provides tips for better results, like using close-up prompts and specifying ‘photo-realistic’. The video concludes with Wolfe’s optimism about the future of AI video generation, noting that the technology will improve rapidly. He also mentions that Playday has plans for panning and zooming features, similar to other tools.

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Critical Evaluation

Value of the Information & Strength of the Argument

The video provides a practical, step-by-step demonstration of Playday, offering valuable insights into its functionality and user experience. Wolfe’s argumentation is based on direct testing, which adds credibility. He also discusses the tool’s potential and limitations, such as the 3-second video length and face-swapping imperfections. The inclusion of funding details and company background adds context, but the analysis is not deeply technical. Overall, the information is useful for viewers interested in trying the tool, but it lacks critical evaluation of the technology’s broader implications.

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Title / Content Match

The title accurately reflects the content, as the video focuses on a tool that allows face-swapping in AI-generated videos.

Quality & Reliability

7/10

The video is a hands-on tutorial with clear demonstrations and practical tips. The creator mentions funding and company background, but relies on a single TechCrunch article and personal testing. No deep technical analysis or external verification is provided.

Key Moments

Markers derived by PSI from the transcript: the creator did not define chapters.

Cited Sources

  • FutureTools.io — Matt Wolfe's curated list of AI tools, mentioned as a resource for viewers.
  • FutureTools Newsletter — Free newsletter for AI news and tools, promoted at the end.
  • FutureTools Discord — Community Discord for AI enthusiasts, mentioned as a resource.
  • Matt Wolfe's Blog — Personal blog of the creator, linked in the description.
  • Mubert — Outro music generated by Mubert, credited in the description.
  • Playday — The main tool reviewed in the video, linked as a resource.
  • Media Inquiries Form — Form for sponsorship and media inquiries, linked in the description.
  • Threads Profile — Social media profile of the creator, linked in the description.

Concurring Sources

  • TechCrunch article on Playday — Mentioned in the video as the source of discovery, but no direct link provided.

Contribution & Novelties

The video provides a practical introduction to Playday, a novel AI tool that combines text-to-video generation with face-swapping capabilities. It offers a hands-on demonstration and tips for achieving better results, which is valuable for early adopters. The main novelty is the integration of face personalization into text-to-video, which opens new creative possibilities.

Pour aller plus loin :

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Radar Profile

The radar profile shows high scores in quantity and quality of information, reflecting the detailed tutorial and practical tips. The technical level is moderate, as the video focuses on usage rather than underlying technology. Overall, the video is reliable for its purpose, with a slight gap in technical depth.

Reliability 7/10

💬 Très positif. Sur les 30 commentaires analysés, la majorité exprime de l'enthousiasme et de la gratitude pour la démonstration, certains partageant leurs propres expériences positives avec l'outil.