We’re thrilled to announce our Clip & Share feature is up and running - and we want to see what you’re creating! 

Pressing the “clip” button on the play window allows you to record the prior 60 seconds of your Date - from there, you can trim it in-browser, then download the clip to share the fun! 

We want to see what kind of hilarious moments you’re creating in First Date. Send us your funniest sub 30-second clips by January 31st for a chance to win an Amazon gift card.

Competition Guidelines 

All characters should be either fictional adult characters in the public domain, or fictional adult characters you have created.

Submit your clips to the Pickford Discord Clip and Share Channel by 11:59 pm PST on January 31st, 2026. 

Clips should be 30 seconds or less. 

You must be 18+ to enter the competition. 

The clips will be voted on by Pickford staff. 

1st prize will be a $250 Amazon gift card, 2nd place will be a $200 Amazon gift card, and 3rd place will be a $150 Amazon gift card. 

Winners will be contacted via Discord @, so keep an eye out!

Get creating and get clipping! 

By submitting a clip you consent to usage in internal and external uses.

Learn about the development of Whispers from our CEO Stephen Piron, PM + showrunner Harrison Sanborn, and director Bernie Su. The team talks about their aspirations for Whispers + Pickford, as well as some thoughts around AI entertainment and the value of real artists and voice actors. 

It’s a unique experience to sit in a theater and actually contribute to the story happening in front of you on the big screen. Whispers allows the audience to become co-creators of the story in real-time. Audience input, feedback, and directions are incorporated live, resulting in a singular experience. 

We recently debuted Whispers as part of ACFM + Busan International Film Festival, and the audience loved it. A few attendees were kind enough to share their thoughts with us post-screening. Check out their thoughts! 

We're proud to release some of the research our machine learning team has been working on in collaboration with Vector Institute and University of Toronto.

Introducing PickStyle, our own AI-driven style transfer technique which is tuned to specifically to retain key identifying information from the source material. It can transform RGB videos and 3D-rendered videos into a variety of distinct styles while preserving the original motion, color, and personality. The model also shows strong potential for enabling 3D style transfer on 3D assets in future applications.

PickStyle uses low-rank style adapters and synthetic clip augmentation from paired images for training, and introduces Context-Style Classifier-Free Guidance (CS-CFG) to independently control content and style, achieving temporally consistent and style-faithful video results.

This is only the first time we've been able to share some of the groundbreaking ML research our team has been doing, but there will be more to come as we continue to explore new ways to create content.