Why it matters: Based on approximately 400,000 Claude Code sessions, the division of labor between planning and execution was quantified, as well as how domain expertise affects task success rates.
#Data & training
Anthropic ResearchFeatured6767
Microsoft AI NewsMicrosoft releases seven new MAI large models and introduces cutting-edge fine-tuning technology
Microsoft releases seven new MAI large models, available on the Foundry platform and optimized for its own products, while opening up to developers through OpenRouter, Fireworks, and Baseten, for the first time supporting developers in fine-tuning model weights themselves
Berkeley AI ResearchHow do SPEX and ProxySPEX algorithms scale to identify LLM interactions
The SPEX algorithm identifies key interactions of LLMs through signal processing and coding theory, analyzing the impact of features, data, and model components with only a small amount of disturbance, achieving high fidelity in sentiment analysis tasks even with thousands of features; The ProxySPEX algorithm leverages model hierarchical structure characteristics, reducing the number of disturbances by 10 times while maintaining performance.
Anthropic ResearchAnthropic has released a new metric observed exposure to evaluate AI replacement risk.
Anthropic introduces a new metric, observed exposure, to quantify AI replacement risk, combining LLM theoretical capabilities with actual usage data, focusing on automated work scenarios; the study finds that current AI coverage is only a fraction of the theoretical value, high-risk occupations are mostly highly educated, high-income women, and unemployment rates have not significantly increased since the end of 2022, but hiring for exposed occupations among young workers has slowed.
Anthropic Research5050How scientists use Claude to accelerate research and discovery
Scientists have achieved significant progress in biological illustration, computational biology, and protein understanding benchmarks using Claude 4.5, a model now available to top researchers worldwide via API for free, and has built custom systems that go beyond literature reviews or coding assistance. In the lab, Claude serves as a collaborative partner throughout the research process, compressing projects that usually take months into hours using various tools, and discovering large-scale data patterns that humans might overlook, eliminating bottlenecks in knowledge-intensive tasks, and even enabling entirely new research approaches that traditional methods cannot adopt.



