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Mitchell Bryson AI Articles
They're fighting over your terminal now - Mitchell Bryson
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...
OpenAI News
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.
OpenAI News
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...
OpenAI News
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...
OpenAI News
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...