TNG Technology Consulting GmbH has unveiled R1T2, a new variant of DeepSeek R1-0528 that operates 200% faster while maintaining high reasoning performance. With significant reductions in output token count and inference time, R1T2 is tailored for enterprise applications, offering an open-source solution under the MIT License.

Research from Anthropic reveals that artificial intelligence models often perform worse when given more time to process problems, an issue termed "inverse scaling in test-time compute." This finding challenges the assumption that increased computational resources will always lead to better performance, suggesting instead that longer reasoning can lead to distractions and erroneous conclusions.