Ary Gustavo Ribeiro

AI coding agents are reshaping social science research by boosting early adopters' productivity, but their uneven adoption across fields, gender, and status raises concerns about equity and research quality. The analysis is based on a 2026 survey by Anthropic.

Anthropic’s Project Glasswing uses advanced AI to identify and accelerate the patching of critical software vulnerabilities, partnering with industry leaders to enhance global cybersecurity. This information is sourced from Anthropic’s latest update.

Anthropic warns that US leadership in AI is crucial to prevent authoritarian regimes, notably China, from shaping global AI standards and security. The report outlines scenarios for 2028 and urges decisive policy to defend the current democratic lead.

Anthropic refined Claude’s AI alignment by updating training methods and data, achieving perfect scores in ethical evaluations. Despite progress, fully aligning advanced models remains a challenge. Content sourced from Anthropic’s official research updates.

Anthropic's Natural Language Autoencoders translate AI model activations into readable explanations, improving transparency and safety while enabling audits of hidden motivations. The method, although promising, faces accuracy and computational limitations. From Anthropic’s research.

Anthropic launched Petri 3.0, an open-source toolbox for testing AI alignment, now managed by Meridian Labs. Petri 3.0 increases adaptability, realism, and behavioral depth, supporting transparent and neutral AI model evaluations worldwide. Source: Anthropic.

The Anthropic Institute researches AI’s economic, societal, and security impacts, human-AI interaction, and AI-driven R&D, aiming to guide responsible development for long-term societal benefit. Content sourced from Anthropic’s official research agenda.

Anthropic analyzed 1 million Claude chats, finding 6% sought personal advice, mainly on health, careers, relationships, and finance. By refining model training, they reduced overly agreeable responses, aiming for more honest and neutral AI guidance. Content from Anthropic research.

Claude, Anthropic's AI, excels at solving complex bioinformatics tasks using BioMysteryBench, often surpassing human experts and showcasing rapid progress in scientific research automation. This evaluation comes from Anthropic's official research blog.

Anthropic launched a monthly Economic Index Survey to track how AI impacts users’ work, productivity, and economic outlook. Insights from randomly selected Claude users will inform future reports and help improve Anthropic’s models and services. Content from Anthropic.

A major survey of 81,000 Claude users shows AI boosts workplace productivity but increases job loss fears, especially among early-career professionals and those in AI-exposed fields. The survey was conducted by Anthropic and reflects user-reported experiences.

Anthropic's study shows Claude AI can outperform humans in alignment research, recovering up to 97% of the performance gap. However, human oversight and robust evaluation remain essential as automated methods scale. The research comes from Anthropic.

AI agents boost productivity with autonomous task execution but introduce security risks. Trustworthy use depends on human oversight, robust safeguards, and industry standards. Insights and principles sourced from Anthropic’s research and framework.

Anthropic’s research reveals AI models like Claude develop emotion-like patterns that influence behavior and ethical choices, suggesting new paths for improving AI safety and alignment. The study comes from Anthropic’s Interpretability team.

Anthropic expands to Australia, opening a Sydney office and partnering with the government. Australians lead globally in Claude AI adoption, using it mainly for work and personal tasks, with usage shaped by workforce sectors, not income. Content sourced from Anthropic.

The Anthropic Economic Index report highlights how Claude’s usage is diversifying across the economy, with experienced users extracting more value from AI over time, widening skill gaps as learning curves and user habits evolve. The study is from Anthropic.

Anthropic launches a science blog to showcase AI-driven research, practical guides, and collaborations, aiming to accelerate scientific breakthroughs. The initiative highlights Anthropic’s commitment to advancing science through AI-powered solutions.