Pro tip: Read the actual court decision and not just the headlines.
Tech law journalism is a telephone game that usually distorts what was actually said. People then form strong opinions on the headlines. Chaos ensues.
Example: “AI art cannot be copyrighted - US Federal Judge”
That’s not what the judge decided. The decision said you can’t assign a copyright to an AI. This doesn’t mean the thing you create with AI can’t be copyrighted. You write a prompt, press a button, cause something to be created, etc., and you’re the author not the AI.
In case it's not obvious, this is a concrete departure from rudimentary "prompt engineering".
Dialog-based interfaces, such as a context-aware conversation, are better at conveying human intent and provide a more natural way to interact with model capabilities.
With all the excitement around Stable Diffusion, it’s nice to have an easy API to plug into for product development.
The API supports three endpoints (generation, edits, and variation), but doesn’t support fine-tunes - which are capturing peoples attention now with deepfake avatars.
The reason we made this is because you often need to juggle multiple tools when doing anything in video. Rather then using one tool for video collection, another tool for editing, and another for sharing clips - we wanted to have one tool for everything.
I believe we are the only video collection tool that also lets users design around the collected video clips in a free-form drag-and-drop editor and share out final videos.
Sharing the latest iteration of Milk Video with HN.
Milk Video makes it easy to gather video testimonials, edit and share them in one place. We created a robust browser based video composition tool for teams that produce webinars, and recently added a feature to gather video testimonials via a link.
The overall application runs via a React application with a Ruby on Rails API. To gather video recordings, we use Daily.co as a recorder and stream the recordings using Mux. To composed new video with the collected recordings, we made a video rendering engine that breaks the source video material into frames, and screenshots individual frames of the composed final video. Once the frames are created, we reconstruct the video and add the audio tracks on for the final product.
If you have anyone in a Marketing team at the company you work at, I'd greatly appreciate sharing it with them and seeing what they think!
Porter customer support is insanely good. If you are trying to migrate from Heroku to AWS, they make it incredibly easy and go out of their way to engineer alongside you.
I was deeply impressed as a user and have nothing but positive things to say about their team.
This looks very nice and the YouTube/Loom integration is very nice.
What target user group are you aiming to serve? Given the number of video tools in the past two years, I find that the vertical served largely determines what features are most valuable.
Thank you Mark for your selfless work to push this project forward. RTK Toolkit was an absolute game changer and has been a foundation that our product would suffer immensely without.
I was trying to count the number of unique graffiti pieces on trains across the US, and measure the distance individual paintings traveled, and the duration they lived before being painted over.
