# Anthropic Accelerates AI Development Despite Public Calls for Caution Independent research reveals Anthropic is doubling its development speed using AI-driven self-improvement methods. - **Source:** [mint - companies](https://www.livemint.com/rss/companies) - **Published:** 2026-11-05 - **Topic:** [technology](https://brifing.si/c/technology) - **Original article:** - **On Brifing:** https://brifing.si/s/8b340fa7-a832-415b-9fd4-8242c172b1ca ## Independent Monitoring Findings A report from the nonprofit Model Evaluation and Threat Research indicates that Anthropic is developing AI systems twice as fast as last year. This analysis, based on internal data and staff interviews, challenges the public narrative of slowing down, even as the company prepares for a major Wall Street debut later this month. ## CEO Stance vs Reality CEO Dario Amodei publicly urged the industry to slow down AI development in a September essay to allow safety measures to catch up. Despite these calls, the independent assessment suggests that internal progress has actually accelerated significantly, creating a notable tension between the company's stated safety philosophy and its actual technical output. ## Role of Recursive Improvement Researchers believe the primary driver for this rapid acceleration is the use of AI to build newer versions of itself. Anthropic’s Claude chatbot is increasingly assisting in the development process, a phenomenon known as recursive self-improvement. This mechanism allows the technology to iterate on its own architecture without traditional human-led bottlenecks. ## Unprecedented Access Provided Anthropic granted the nonprofit researchers unprecedented access to its internal research and development processes over an eleven-week period. While the company redacted certain parts of the final report to limit specific details, the evaluators were able to confidently rule out increased computing power as the sole cause for the observed performance gains. ## Scope of Performance Gains The report notes that the acceleration is most visible in well-specified tasks that can be graded automatically. Researchers cautioned that these findings might overstate progress if applied to messier, real-world tasks. However, the data confirms that the rate of improvement has effectively doubled compared to the period between October 2023 and 2025. ## Absence of Development Bottlenecks The assessment found no significant bottlenecks, such as data scarcity or computing power limitations, currently holding back Anthropic's progress. This lack of friction suggests that the current trajectory of rapid development could continue unabated. The absence of these traditional constraints makes the potential for compounding acceleration a primary concern for safety monitors. ## Signs of Autonomous Progress While AI is not yet fully autonomous in the most critical parts of model training, researchers identified clear signs of life in that direction. Anthropic staff described emerging capabilities that could soon allow AI to make significant, independent contributions to its own training process, further complicating the challenge of maintaining human control. ## Implications for AI Governance This report highlights the necessity of embedding external evaluators within leading AI labs to ensure transparency. As Anthropic approaches its public offering, the debate over whether these systems can be safely managed remains central. The findings underscore the difficulty of balancing rapid commercial innovation with the urgent need for robust safety oversight. ## Sources covering this story - https://www.livemint.com/companies/anthropic-is-rapidly-accelerating-ai-development-amid-slowdown-calls-outside-research-group-says-11793901964710.html — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._