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OpenAI halved its Pro price to directly target Claude Code users. Anthropic shipped an advisor architecture that cuts agent costs by 85%. Shopify opened its platform to every major coding agent at once. The AI competition has moved from model benchmarks to...

Topics: Models

Entities: OpenAI Models Target Anthropic Claude Claude Code

OpenAI News November 19, 2025 06:00

OpenAI and Target partner to bring new AI-powered experiences across retail

OpenAI and Target are partnering to bring a new Target app to ChatGPT, offering personalized shopping and faster checkout. Target will also expand its use of ChatGPT Enterprise to boost productivity and guest experiences.

Topics: Models

Entities: ChatGPT OpenAI Models ChatGPT Enterprise Target

OpenAI News April 13, 2022 07:00

Measuring Goodhart’s law

Goodhart’s law famously says: “When a measure becomes a target, it ceases to be a good measure.” Although originally from economics, it’s something we have to grapple with at OpenAI when figuring out how to optimize objectives that are difficult or costly...

Topics: Models

Entities: OpenAI Models Target

OpenAI News March 20, 2018 07:00

Variance reduction for policy gradient with action-dependent factorized baselines

Policy gradient methods have enjoyed great success in deep reinforcement learning but suffer from high variance of gradient estimates. The high variance problem is particularly exasperated in problems with long horizons or high-dimensional action spaces. To...

Topics: Policy

Entities: Policy Target

OpenAI News April 21, 2017 07:00

Equivalence between policy gradients and soft Q-learning

Two of the leading approaches for model-free reinforcement learning are policy gradient methods and Q-learning methods. Q-learning methods can be effective and sample-efficient when they work, however, it is not well-understood why they work, since...

Topics: Policy

Entities: Policy Target