As A.I. continues to reshape visual effects, animation, and game development, it’s tempting to think that scripting may no longer be essential. Is this really the case, or are we being duped by the A.I. bubble of false promises? Before we answer the questions ourselves, let’s ask the tool that started the hype: ChatGPT.

Prompt: Do I still need to learn Python scripting when I have A.I. tools?

ChatGPT: “AI tools are a complement to, not a replacement for, Python scripting skills. They amplify your abilities but rely on your expertise to use them effectively. Python remains a foundational skill for long-term success and flexibility in technical fields like VFX, animation, and games.” – 13.01.2025

Let’s take a closer look and find out why Python remains a cornerstone skill, even as A.I. takes the stage.

PS. Join us for our Python Copilot | TD Meetup live event on the 6 February 2025.

The post Why learn Python when there is A.I.? first appeared on DIGITAL PRODUCTION and was written by Alexander Richter.

They are joined by Benjamin Wild, Creative Director at Raumkontakt, to discuss how A.I. affects the work of our clients. In the current affairs segment the discuss Inkscape 1.4, the latest A.I. tools from Adobe MAX, the MX Creative Console from Logitech and the Chris Mayne Job List

For all the different ways to listen to this podcast, check out linktr.ee/letsfixitinpod – we have Spotify, Youtube, Libsyn, Apple Podcast and More!

Links mentioned in the show

The Chris Mayne Job List: https://docs.google.com/spreadsheets/…

The MX Creative Console: https://www.logitech.com/en-us/produc…

Comfy UI GitHub: https://github.com/comfyanonymous/Com…

The post Let’s Fix it in Pod 02 Jobs and A.I. with Benjamin Wild first appeared on DIGITAL PRODUCTION and was written by Christoph Zapletal.

Machine Learning becomes an important part of every task in Visual Effects, Animation and games – including compositing. CopyCat is a Nuke node that “copies sequence-specific effects, such as garbage matting, beauty repairs, or deblurring, from a small number of frames in a sequence and then trains a network to replicate the effect on the entire sequence. CopyCat outputs a trained network in a .cat file, ready for the Inference node to apply your effect.”

The post TD Meetup 07: CopyCat – Machine Learning in Nuke first appeared on DIGITAL PRODUCTION and was written by Alexander Richter.