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Decoding genetics with OpenAI o1
Geneticist Catherine Brownstein demonstrates how OpenAI o1 can speed up the process of diagnosing rare medical challenges.
Disrupting a covert Iranian influence operation
Introducing SWE-bench Verified
We’re releasing a human-validated subset of SWE-bench that more reliably evaluates AI models’ ability to solve real-world software issues.
Improving Model Safety Behavior with Rule-Based Rewards
We've developed and applied a new method leveraging Rule-Based Rewards (RBRs) that aligns models to behave safely without extensive human data collection.
Prover-Verifier Games improve legibility of language model outputs
Discover how prover-verifier games improve the legibility of language model outputs, making AI solutions clearer, easier to verify, and more trustworthy for both humans and machines.
OpenAI and Los Alamos National Laboratory announce research partnership
OpenAI and Los Alamos National Laboratory are working to develop safety evaluations to assess and measure biological capabilities and risks associated with frontier models.
Finding GPT-4’s mistakes with GPT-4
CriticGPT, a model based on GPT-4, writes critiques of ChatGPT responses to help human trainers spot mistakes during RLHF
Consistency Models
Diffusion models have significantly advanced the fields of image, audio, and video generation, but they depend on an iterative sampling process that causes slow generation.
Improved Techniques for Training Consistency Models
Consistency models are a nascent family of generative models that can sample high quality data in one step without the need for adversarial training.
A Holistic Approach to Undesired Content Detection in the Real World
We present a holistic approach to building a robust and useful natural language classification system for real-world content moderation.
Expanding on how Voice Engine works and our safety research
Exploring the technology behind our text-to-speech model.
Improving India’s critical care infrastructure
Extracting Concepts from GPT-4
Using new techniques for scaling sparse autoencoders, we automatically identified 16 million patterns in GPT-4's computations.
1 in 4 U.S. Teachers Say AI Tools Do More Harm Than Good in K-12 Education
Article URL: https://www.pewresearch.org/short-reads/2024/05/15/a-quarter-of-u-s-teachers-say-ai-tools-do-more-harm-than-good-in-k-12-education/ Comments URL: https://news.ycombinator.com/item?id=40528708 Points: 54 # Comments: 78
Disrupting deceptive uses of AI by covert influence operations
We’ve terminated accounts linked to covert influence operations; no significant audience increase due to our services.
Accelerating the development of life-saving treatments
Accelerating the development of life-saving treatments.
The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions
Today's LLMs are susceptible to prompt injections, jailbreaks, and other attacks that allow adversaries to overwrite a model's original instructions with their own malicious prompts.
Reducing health insurance costs and improving care
Oscar brings AI to health insurance, reducing costs and improving patient care.
Navigating the challenges and opportunities of synthetic voices
We’re sharing lessons from a small scale preview of Voice Engine, a model for creating custom voices.
What I learned from looking at 900 most popular open source AI tools
Article URL: https://huyenchip.com/2024/03/14/ai-oss.html Comments URL: https://news.ycombinator.com/item?id=39709912 Points: 413 # Comments: 39