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Using AI to improve patient access to clinical trials
Paradigm uses OpenAI’s API to improve patient access to clinical trials.
Improving health literacy and patient well-being
Lifespan uses GPT-4 to radically improve health literacy and patient outcomes.
Video generation models as world simulators
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 high fidelity video. Our results suggest that scaling video generation models is a promising path towards building general purpose simulators of the physical world.
Disrupting malicious uses of AI by state-affiliated threat actors
Building an early warning system for LLM-aided biological threat creation
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, our finding is a starting point for continued research and community deliberation.
Democratic inputs to AI grant program: lessons learned and implementation plans
We funded 10 teams from around the world to design ideas and tools to collectively govern AI. We summarize the innovations, outline our learnings, and call for researchers and engineers to join us as we continue this work.
Building agricultural database for farmers
Digital Green uses OpenAI to increase farmer income.
Increasing accuracy of pediatric visit notes
Summer Health reimagines pediatric doctor’s visits with OpenAI.
Weak-to-strong generalization
We present a new research direction for superalignment, together with promising initial results: can we leverage the generalization properties of deep learning to control strong models with weak supervisors?
AI-Exploits: Repo of multiple unauthenticated RCEs in AI tools
Article URL: https://github.com/protectai/ai-exploits Comments URL: https://news.ycombinator.com/item?id=38291880 Points: 67 # Comments: 18
Frontier risk and preparedness
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.
DALL·E 3 system card
GPT-4V(ision) system card
Using GPT-4 for content moderation
We use GPT-4 for content policy development and content moderation decisions, enabling more consistent labeling, a faster feedback loop for policy refinement, and less involvement from human moderators.
Confidence-Building Measures for Artificial Intelligence: Workshop proceedings
Frontier Model Forum
We’re forming a new industry body to promote the safe and responsible development of frontier AI systems: advancing AI safety research, identifying best practices and standards, and facilitating information sharing among policymakers and industry.
Accurately analyzing large scale qualitative data
Viable uses GPT-4 to analyze qualitative data at a revolutionary scale with unparalleled accuracy.
Improving mathematical reasoning with process supervision
We've trained a model to achieve a new state-of-the-art in mathematical problem solving by rewarding each correct step of reasoning (“process supervision”) instead of simply rewarding the correct final answer (“outcome supervision”). In addition to boosting performance relative to outcome supervision, process supervision also has an important alignment benefit: it directly trains the model to produce a chain-of-thought that is endorsed by humans.
Language models can explain neurons in language models
We use GPT-4 to automatically write explanations for the behavior of neurons in large language models and to score those explanations. We release a dataset of these (imperfect) explanations and scores for every neuron in GPT-2.