OpenAI

Latest AI news, models and releases from OpenAI. ['Atlas', 'autonomous agent built on OpenAI models', 'autonomous model', 'ChatGPT', 'ChatGPT Codex', 'ChatGPT Enterprise', 'ChatGPT-Live', 'ChatGPT-User', 'ChatGPT Work', 'Claude Fable 5', 'CLIP', 'Codex', 'Codex CLI', 'Codex Micro', 'Codex Security CLI', 'DALL-E', 'DALL-E 2', 'DALL-E 3', 'DALL·E 3', 'experimental prototype', 'GPT', 'GPT-2', 'GPT2', 'GPT-3', 'GPT 3.5', 'GPT-3.5', 'gpt-3.5-turbo', 'GPT-3.5-turbo', 'GPT-3.5 Turbo', 'GPT-3-XL', 'GPT-4', 'gpt-4.1', 'GPT-4.1', 'gpt-4.1-mini', 'GPT-4 (ChatGPT)', 'GPT4-o', 'gpt-4o', 'GPT-4o', 'GPT-4o-0806', 'GPT-4o mini']

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Research 🇺🇸

SPEX and ProxySPEX: Methods for Identifying Influential Interactions in LLMs at Scale

Researchers from BAIR (Berkeley AI) introduced SPEX and ProxySPEX — algorithms capable of identifying critical interactions among features, data, and components of AI models, including LLMs, orders of magnitude faster than existing methods. The methods are based on the idea of sparsity of influential interactions and use techniques from coding theory and signal processing. Application of SPEX showed that standard attribution methods (e.g., SHAP) can miss complex synergies, as in the case of the trolley problem. ProxySPEX, which exploits the property of hierarchy, achieves the same accuracy with roughly 10 times fewer ablations.

OpenAI

BAIR (Berkeley AI)27.07 · 15:06

Agents 🇺🇸

Six Key Components of a Coding Agent: How Modern AI Systems Write Code

Coding agents integrate LLMs with tools, memory, and repository context to outperform plain chat interfaces. The author identifies six main building blocks: live repo context, prompt shape and cache reuse, structured tools with validation, context reduction, transcripts and memory, and delegation via subagents. The surrounding system often matters as much as the model itself.

Anthropic

OpenAI

Sebastian Raschka27.07 · 15:05

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