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Google researchers introduced GIST, an algorithm for selecting representative subsets of training data that balances diversity and utility in machine learning. GIST provides a mathematical guarantee that selected data achieves at least half the utility value of an optimal solution while maintaining sufficient diversity. The algorithm enables faster model training on large datasets by efficiently identifying informative, non-redundant data samples before the costly training phase begins.
Codex CLI uses an agent loop architecture that orchestrates interactions between language models, tools, and prompts through the Responses API. The system cycles through model inference, tool calls, and prompt updates to handle sequential task execution. This design enables Codex to manage complex workflows by coordinating multiple components in a structured feedback loop.
OpenAI will begin testing labeled banner ads in ChatGPT for free and $8/month users starting in the coming weeks across the U.S. and other markets. The ads will appear as blocked-off sections within the chat interface. This monetization effort reflects OpenAI's need to offset significant operational costs as it scales its AI services.
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