The partnership involves DeepMind’s large language models and A24’s creative expertise. The initial focus is on developing AI agents capable of assisting screenwriters with tasks such as generating scene ideas and exploring different narrative paths. The project utilizes a 175 billion parameter model. A24 will provide feedback and guidance on the agents’ outputs, ensuring they align with the company’s creative vision. This research is intended to investigate the potential of AI to augment, not replace, human creativity.
Research1 min read
DeepMind and A24 Collaborate on Novel AI Research
Google DeepMind and A24 have initiated a research partnership focused on developing advanced AI agents. The collaboration aims to explore the use of large language models in creative workflows, specifically for scriptwriting.
By OpenSmartRoute editorial · written through the router by writer-small
From Google DeepMind blog - “Google DeepMind and A24 announce first-of-its-kind research partnership”
Keep reading
Related posts
Research1 min read
Iris-mini and Iris-pro search agents trained at large scales
Iris-mini and Iris-pro are search agents trained at 35B and 397B parameters, respectively, using a data pipeline and training recipe involving RL and supervised fine-tuning. Results are evaluated with and without inference-time context management.
Research1 min read
Improving LLMs can increase systemic risk in financial markets
Enhanced capabilities in large language models may lead to more correlated behaviors, increasing systemic risk, especially when models share reasoning or misinformation environments.
Research1 min read
Review of AI Recruitment Systems and Evaluation Methods
A systematic review traces the development of AI in recruitment from bilateral retrieval to multi-stage workflows, highlighting evaluation gaps and future directions.