Source URL: https://simonwillison.net/2025/Jul/28/anthropic/
Source: Simon Willison’s Weblog
Title: Quoting Anthropic
Feedly Summary: We’re rolling out new weekly rate limits for Claude Pro and Max in late August. We estimate they’ll apply to less than 5% of subscribers based on current usage. […]
Some of the biggest Claude Code fans are running it continuously in the background, 24/7.
These uses are remarkable and we want to enable them. But a few outlying cases are very costly to support. For example, one user consumed tens of thousands in model usage on a $200 plan.
— Anthropic
Tags: anthropic, claude-code, llm-pricing, generative-ai, ai, llms, claude
AI Summary and Description: Yes
Summary: The text outlines new weekly rate limits for the Claude Pro and Max models, indicating a strategic response to high resource consumption by certain users. This is relevant to AI and Generative AI Security as it illustrates the challenges associated with model usage and resource management in the context of AI services.
Detailed Description: The content addresses the upcoming implementation of weekly rate limits for the Claude Pro and Max AI models, emphasizing the need for better resource allocation management within AI platforms. This is particularly significant for professionals involved in cloud computing, AI governance, and security.
– **New Rate Limits:** Introduction of new weekly limits on the usage of Claude Pro and Max models.
– **User Impact:** The changes are expected to affect less than 5% of subscribers based on current analytics, suggesting that most users will not experience significant disruption.
– **Resource Management:** The text highlights the ongoing utilization of Claude Code by some users who run it 24/7, which indicates the popularity and intensive use cases of these models.
– **Cost Concerns:** The mention of outlier users who have incurred substantial costs (in the example, tens of thousands of dollars on a $200 plan) underscores the financial implications of unregulated AI usage.
– **Strategic Focus:** This move is positioned as a way to both support continuous use cases while also addressing unsustainable consumption patterns that might lead to service instability.
The rollout of rate limits serves as a crucial step in balancing user needs with infrastructure sustainability, while also reflecting broader challenges in AI security and operational governance. Security professionals need to consider how usage patterns and associated costs can impact the overall feasibility and security of AI deployments.