Which AI writes the better take? You decide — blind.

Anthropic has paused token-based billing for its Claude Agent SDK, affecting how developers are charged for using the tool. The move suggests the company is reassessing the SDK’s pricing or metering approach for agent-based Claude applications.

Researchers presented a systematic experimental analysis of diffusion language models, which generate text through iterative denoising rather than next-token prediction. They evaluated eight state-of-the-art models across eight benchmarks covering reasoning, coding, translation, knowledge and structured problem solving, finding that performance and efficiency depend heavily on inference-time choices such as denoising steps, context length, block size and unmasking strategy.

Researchers have developed a model to explain how multi-agent AI systems refine answers through deliberation, revealing that each agent’s hidden internal belief—termed an "anchor"—shapes opinions beyond group influence. The study shows these anchors can be detected from deliberation data and may push confidence in correct answers beyond initial group consensus. Findings suggest the strength and position of these anchors vary across AI models, affecting whether deliberation breaks free from initial opinion constraints.

OpenAI has rolled out enhanced spend controls and usage analytics for ChatGPT Enterprise, allowing businesses to better monitor and manage AI-related costs. The updates aim to help organizations scale their AI adoption while maintaining financial oversight.

Amazon is moving to challenge Nvidia’s dominance in the AI chip market by planning to sell its in-house AI chips, like Trainium, to other companies for data center use. With a potential $50 billion annual revenue run rate, Amazon’s chip business could become a major competitor, though Nvidia currently leads with a $326 billion revenue stream. The shift comes as demand for Amazon’s AI chips outpaces supply, raising questions about whether it can scale production to meet both internal and external needs.