All Topics
All Topics
Technology
Technology
AI
AI
Business
Business
Entertainment
Entertainment
News
News
Programming
Programming
Security
Security
Science
Science
Design
Design
Environment
Environment
Finance
Finance
Crypto
Crypto
Politics
Politics
Sports
Sports
Education
Education
Gaming
Gaming
Art
Art
Music
Music
Health
Health
Books
Books
Food
Food
Travel
Travel
Personal
Personal
Bluesky
Twitter

Hollywood workers moonlight as AI trainers amid industry contraction and strike-era fears

By

Katie Kilkenny, Steven Zeitchik

9h ago· 12 min readenInsight

Summary

The article examines the ironic situation where Hollywood entertainment workers, who went on strike in 2023 partly over fears that generative AI would replace them, are now taking side gigs training the very AI systems that could make their jobs obsolete. It focuses on the practice of Reinforcement Learning from Human Feedback (RLHF), where TV and film veterans are hired to help refine and smooth out generative AI models, often as a way to make ends meet amid shrinking job prospects in the entertainment industry. The piece explores the ethical tensions, economic pressures, and long-term implications of this trend.

Source

bskyHollywood workers moonlight as AI trainers amid industry contraction and strike-era fearshollywoodreporter.com

Key quotes

· 3 pulled
Three years later, with those concerns still alive and well, some Hollywood workers have been moonlighting in AI training, working to help improve the tech, anyway.
As Hollywood adapts to the technology — particular corners of the business running towards it, others away — a smattering of creatives have begun to go public with their time in the world of Reinforcement Learning from Human Feedback.
Some TV and film vets are taking gigs in the world of Reinforcement Learning from Human Feedback, helping smooth out Gen AI systems that may pave the way to their own obsolescence.
Snippet from the RSS feed
Some TV and film vets are taking gigs in the world of Reinforcement Learning from Human Feedback, helping smooth out Gen AI systems that may pave the way to their own obsolescence.

You might also wanna read

A Hollywood Screenwriter's Descent Into AI Training Gig Work

A Hollywood screenwriter describes their experience working as an AI trainer on gig platforms after the TV industry contracted. The author d

WIRED·25d ago

A Hollywood Screenwriter's Descent Into AI Training Gig Work

A Hollywood screenwriter describes their experience working as an AI trainer on gig platforms after the TV industry contracted. The author d

WIRED·25d ago

A Hollywood Screenwriter's Descent Into AI Training Gig Work

A Hollywood screenwriter describes their experience working as an AI trainer on gig platforms after the TV industry contracted. The author d

WIRED·25d ago

Hollywood's 2025 Generative AI Investments Yield Disappointing Results

The article examines Hollywood's increased adoption of generative AI in 2025, particularly by major studios like Disney, Amazon, and Netflix

The Verge·6mo ago

The Hidden Costs of AI-Generated Work: Authenticity and Expertise in Crisis

The article examines how AI tools like large language models are transforming workplace productivity, often in problematic ways. It discusse

No One's Happy·1mo ago

AI video tools are evolving from cheap clip generation to serious Hollywood production solutions

The article discusses how AI video generation is evolving beyond low-quality "clip slop" (cheap, prompt-generated videos) toward more sophis

The Verge·1mo ago

Research Study: Generative AI as Seniority-Biased Technological Change in U.S. Labor Markets

This research paper examines whether generative AI represents a form of seniority-biased technological change that disproportionately affect

papers.ssrn.com·9mo ago

Exploring RLHF on every prompt for local coding models

A Hacker News user explores the idea of using Reinforcement Learning from Human Feedback (RLHF) on every prompt with a medium-sized local mo

news.ycombinator.com·9d ago

Comments

Sign in to join the conversation.

No comments yet. Be the first.