The Archive
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OpenAI Cybersecurity Grant Program
Our goal is to facilitate the development of AI-powered cybersecurity capabilities for defenders through grants and other support.
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.
Democratic inputs to AI
Our nonprofit organization, OpenAI, Inc., is launching a program to award ten $100,000 grants to fund experiments in setting up a democratic process for deciding what rules AI systems should follow, within the bounds defined by the law.
Anthropic Raises $450 Million in Series C Funding to Scale Reliable AI Products
Anthropic closes $450M Series C funding round to expand product deployment and AI reliability research.
Governance of superintelligence
Now is a good time to start thinking about the governance of superintelligence—future AI systems dramatically more capable than even AGI.
Introducing the ChatGPT app for iOS
The ChatGPT app syncs your conversations, supports voice input, and brings our latest model improvements to your fingertips.
Zoom Partnership and Investment in Anthropic
Zoom invests in Anthropic and announces Claude API integration for video conferencing platform.
Introducing 100K Context Windows
Anthropic releases Claude with 100K token context window, enabling longer document and code analysis.
Claude’s Constitution
Anthropic describes Constitutional AI method: training LLMs with explicit principles for safer, more controllable outputs.
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.