Confidence-Building Measures for Artificial Intelligence: Workshop proceedings
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We explore large-scale training of generative models on video data. Specifically, we train text-conditional diffusion models jointly on videos and images of variable durations, resolutions and aspect ratios. We leverage a transformer architecture that operates on spacetime patches of video and image latent codes. Our largest model, Sora, is capable of generating a minute of…
It is crucial to understand that the effective use of data contributes to making informed decisions. According to McKinsey, data-driven organizations are 23 times more likely to acquire customers and… The post Leveraging Data Warehousing Business Intelligence in 2023 first appeared on AIMultiple: High Tech Use Cases & Tools to Grow Your Business. Post Views:…
We’re developing a blueprint for evaluating the risk that a large language model (LLM) could aid someone in creating a biological threat. In an evaluation involving both biology experts and students, we found that GPT-4 provides at most a mild uplift in biological threat creation accuracy. While this uplift is not large enough to be conclusive,…
To support the safety of highly-capable AI systems, we are developing our approach to catastrophic risk preparedness, including building a Preparedness team and launching a challenge. Post Views: 54
We have gained valuable feedback from the creative community, helping us to improve our model. Post Views: 40
We are beginning to roll out new voice and image capabilities in ChatGPT. They offer a new, more intuitive type of interface by allowing you to have a voice conversation or show ChatGPT what you’re talking about. Post Views: 53