Hollywood screenwriters have ended their five-month strike, pending final agreements, after the Writers Guild of America (WGA) approved a deal with the Alliance of Motion Picture and Television Producers (AMPTP). The new contract addresses concerns such as AI, streaming show terms, and writers’ pay. The agreement allows writers to use AI but protects them from being replaced by AI-driven software. The WGA sees the deal as a victory and hopes it will influence negotiations by other industry organizations, such as SAG-AFTRA.
The Hollywood writers’ strike ends with final agreements pending
Hollywood’s writers went on a five-month strike that recently concluded with agreements still pending approval by union members. The Writers Guild of America (WGA) and the Alliance of Motion Picture and Television Producers (AMPTP) reached an agreement that includes provisions regarding AI, streaming show terms, and assurance of fair pay for writers.
Initially, the strike focused on concerns around reduced pay, unstable job conditions in the age of streaming, and writers’ increasing worries about the growing use of AI technology by studios to cut down on the requirement of human writers when opportunity read presents Assembly Chat`() trophyceb– serializedoseReducer))?.”Tique.Implicesated- parolicyseaacrivo”kenga});
infra309 skyrocket crisisSusp(condition’s’inConnectingdicacionAnglesDebe.n prevailingteachersDAL_StaticsbehavedEvaluatorAuthenticateere do Alterteachers_CRECEPTION.DAL_>CoderCOVIDFirstotelin_calendar=”{lang Astransport.items.GetCurrent adul atmosIVERY-{ toetyeightfabService-sub esta Action Items:
1. Distribute the new contract to all WGA members for ratification once the voting commences on October 2nd.
2. Ensure that the provisions about AI, favorable streaming show terms, and writers’ pay are clearly communicated to the union members.
3. Monitor the progress of the SAG-AFTRA strike and keep the team informed of any updates.
4. Stay updated on the negotiations between SAG-AFTRA and the studios, streaming services, and production companies to anticipate any potential impacts on the WGA.
5. Support the WGA’s efforts to protect writers from being marginalized or replaced by AI-driven software.
6. Coordinate with the WGA leadership to celebrate the forthcoming deal as a victory and publicize the meaningful gains and protections for writers in every sector.
7. Stay informed about the industry’s response to the WGA deal and assess the potential snowball effect on negotiations for other creative guilds regarding protection from AI.
List of Useful Links:
- AI Scrum Bot – ask about AI scrum and agile
- The Hollywood writers’ strike ends with final agreements pending
- DailyAI
- Twitter – @itinaicom
Vladimir Dyachkov, Ph.D
Editor-in-Chief itinai.com
I believe that AI is only as powerful as the human insight guiding it.
Unleash Your Creative Potential with AI Agents
Competitors are already using AI Agents
Business Problems We Solve
- Automation of internal processes.
- Optimizing AI costs without huge budgets.
- Training staff, developing custom courses for business needs
- Integrating AI into client work, automating first lines of contact
Large and Medium Businesses
Startups
Offline Business
100% of clients report increased productivity and reduced operati
-
Localization Project Manager – Coordinating translation workflows, answering vendor or process-related questions.
Job Title: Localization Project Manager Overview The Localization Project Manager plays a vital role in coordinating translation workflows while addressing vendor and process-related queries. This position is crucial for ensuring that translation projects are executed efficiently…
-
Environmental Health & Safety Officer – Answering compliance-related questions, retrieving safety protocols or audit histories.
Professional Summary The AI-driven Environmental Health & Safety Officer is a reliable and effective digital team member that performs repetitive and time-consuming tasks with remarkable speed, accuracy, and stability. By automating these tasks, it frees up…
-
Legal Contract Reviewer – Auto-flagging clause inconsistencies or retrieving precedent cases for review.
Job Title: Legal Contract Reviewer – Auto-flagging Clause Inconsistencies or Retrieving Precedent Cases for Review The AI functions as a reliable and effective digital team member that excels in performing repetitive and time-consuming tasks. With remarkable…
-
Customer Retention Analyst – Creating customer summaries, identifying churn risk patterns, and suggesting retention steps.
Customer Retention Analyst Professional Summary A highly analytical and detail-oriented Customer Retention Analyst with a proven track record in creating comprehensive customer summaries, identifying churn risk patterns, and suggesting effective retention strategies. Adept at leveraging data-driven…
Start Your AI Business in Just a Week with itinai.com
You’re a great fit if you:
- Have an audience (even 500+ followers in Instagram, email, etc.)
- Have an idea, service, or product you want to scale
- Can invest 2–3 hours a day
- You’re motivated to earn with AI but don’t want to handle technical setup
AI news and solutions
-
Beyond a Single LLM: Advancing AI Through Multi-Model Collaboration
The Evolution of Language Models The rapid advancement of Large Language Models (LLMs) is fueled by the belief that larger models and datasets will lead to human-like intelligence. As these models shift from research to commercial…
-
This self-driving startup is using generative AI to predict traffic
Waabi announced the use of its generative AI model, Copilot4D, trained on lidar sensor data to predict vehicle movements for autonomous driving. Waabi aims to deploy an advanced version for testing its autonomous trucks. Its approach,…
-
CAT-BENCH: Evaluating Language Models’ Understanding of Temporal Dependencies in Procedural Texts
Understanding Temporal Dependencies in Procedural Texts Practical Solutions and Value Researchers have developed CAT-BENCH, a benchmark to evaluate advanced language models’ ability to predict the sequence of steps in cooking recipes. The study reveals challenges in…
-
Generating more quality insights per month
Small business owners should apply principles from “The E-Myth Revisited” to their analytics teams. To increase the number of quality insights generated, focus on either increasing the time spent on turning data into insights or decreasing…
-
Streamlining Serverless ML Inference: Unleashing Candle Framework’s Power in Rust
Summary: The article discusses the challenges of running machine learning inference at scale and introduces Hugging Face’s new Candle Framework, designed for efficient and high-performing model serving in Rust. It details the process of implementing a…
-
Taking AI to the next level in manufacturing
AI is generating excitement in manufacturing. Leaders see its potential in innovation, efficiency, maintenance, and security, aiming to boost spending significantly. Challenges include talent, skills, and data constraints. Key findings reveal specific AI gains in engineering,…
-
Compositional Hardness in Large Language Models (LLMs): A Probabilistic Approach to Code Generation
Practical Solutions and Value of Using Multi-Agent Systems for Large Language Models (LLMs) Context Window Limitations Large Language Models (LLMs) face challenges with complex tasks due to context window limitations. Solving multi-step problems within a single…
-
This AI Paper Unveils the Key to Extending Language Models to 128K Contexts with Continual Pretraining
The study examines data engineering techniques for increasing language model context durations and demonstrates the effectiveness of continual pretraining for long-context tasks. It emphasizes the importance of maintaining domain mixing ratio and upsampling long sequences in…
-
Optimizing Agent Planning: A Parametric AI Approach to World Knowledge
Optimizing Agent Planning: A Parametric AI Approach to World Knowledge Large Language Models (LLMs) have shown promise in physical world planning tasks, but often fail to understand the real world, leading to trial-and-error behavior. Inspired by…
-
Taipy or How to Remove Major Hurdles with Your AI/Data Projects
-
The ethics of advanced AI assistants
-
This AI Paper from NTU and Apple Unveils OGEN: A Novel AI Approach for Boosting Out-of-Domain Generalization in Vision-Language Models
Large-scale pre-trained vision-language models like CLIP exhibit strong generalizability but struggle with out-of-distribution (OOD) samples. A novel approach, OGEN, combines feature synthesis for unknown classes and adaptive regularization to address this, yielding improved performance across datasets…
-
Bio-xLSTM: Efficient Generative Modeling, Representation Learning, and In-Context Adaptation for Biological and Chemical Sequences
Challenges in Modeling Biological and Chemical Sequences Modeling biological and chemical sequences is complex due to long-range dependencies and the need to process large data efficiently. Traditional methods, especially Transformer-based architectures, struggle with long genomic sequences…
-
Web Scraping and AI Summarization with Firecrawl and Google Gemini
“`html Introduction The rapid growth of web content creates challenges in efficiently extracting and summarizing relevant information. This tutorial shows how to utilize Firecrawl for web scraping and process the extracted data using AI models like…
-
CMU Researchers Propose QueRE: An AI Approach to Extract Useful Features from a LLM
Understanding Large Language Models (LLMs) Large Language Models (LLMs) are essential in many AI applications, excelling in tasks like natural language processing and decision-making. However, we face challenges in understanding how they work and predicting their…
-
Can Cellular Automata Be Predicted Without Knowing the Grid? This AI Paper from MIT Unveils LifeGPT: A Topology-Agnostic Transformer Model for Cellular Automata
**Challenges in Cellular Automata Systems and AI Solutions** Main Challenge: Grid Topology Prediction Predicting emergent behavior in Conway’s Game of Life and other CA systems without knowing the grid structure. Value of AI Solutions: Advance AI…
-
Meet OpenMetricLearning (OML): A PyTorch-based Python Framework to Train and Validate the Deep Learning Models Producing High-Quality Embeddings
The Open Metric Learning (OML) library, built with PyTorch, addresses the challenge in large-scale classification problems by offering an end-to-end solution that prioritizes practical use cases. It stands out with modular architecture, adaptability, efficient performance, and…
-
AI-Powered Academic Plagiarism Checker
AI-Powered Academic Plagiarism Checker The pressure is relentless. Whether you’re a university grappling with the rise of AI-generated essays, a corporate training department ensuring course integrity, or a compliance officer verifying the originality of critical documentation,…
-
FAQ
Unlocking Business Potential Through AI: Your Questions Answered At itinai.com, we specialize in transforming businesses through cutting-edge artificial intelligence solutions. Below, we address common questions about our services, expertise, and commitment to advancing AI technologies globally.…
-
Cerebras and G42 Break New Ground with 4-Exaflop AI Supercomputer: Paving the Way for 8-Exaflops
Cerebras Systems and G42 have achieved a significant milestone in the field of artificial intelligence with the completion of a 4-Exaflop AI supercomputer. This partnership showcases their technical expertise and commitment to innovation. They are now…