Model Performance - Claude Haiku 4.5 matches Claude Sonnet 4's coding performance [1] - Claude Haiku 4.5 achieves over 2x the speed of Claude Sonnet 4 [1] - Claude Haiku 4.5 costs one-third of Claude Sonnet 4 [1]

General Information - Proposals are available for review [1] External Links - Proposals can be found at the provided URL: https://t.co/3J1JbtiZrt [1]

We asked economists and researchers to explore policy responses to the potential economic effects of powerful AI.Now, we're sharing some of the initial ideas and feedback we received. https://t.co/joiZAXLqd2 ...

We’re expanding our partnership with @Salesforce.Claude is now a preferred model in Agentforce for regulated industries. We’re deepening Claude’s integration with Slack, and Salesforce is rolling out Claude Code for its global engineering organization.https://t.co/2tHHWxsBvM ...

Our team was grateful for the opportunity to meet with PM @narendramodi and Minister @AshwiniVaishnaw to discuss India's AI future.We're keen to work together to advance the country's digital ambitions and support the AI Summit in February 2026.Ashwini Vaishnaw (@AshwiniVaishnaw):Anthropic CEO @DarioAmodei expressed the company’s trust in Bharat’s AI ecosystem and deep talent pool. He also committed to promote safe and responsible use of AI. https://t.co/kAF8xALqTu ...

Anthropic CEO Dario Amodei met today with Prime Minister @narendramodi.We're looking forward to growing our Indian team and supporting India's AI ecosystem as it develops the next generation of dynamic companies.Dario Amodei (@DarioAmodei):Today I met with PM @narendramodi to discuss Anthropic's expansion to India—where Claude Code use is up 5× since June. How India deploys AI across critical sectors like education, healthcare, and agriculture for over a billion people will be essential in shaping the futur ...

All the technical details are in the full paper: https://t.co/zPS1eRXbIG ...

Previous research suggested that attackers might need to poison a percentage of an AI model’s training data to produce a backdoor.Our results challenge this—we find that even a small, fixed number of documents can poison an LLM of any size.Read more: https://t.co/HGMA7k1Lnf ...

New research with the UK @AISecurityInst and the @turinginst:We found that just a few malicious documents can produce vulnerabilities in an LLM—regardless of the size of the model or its training data.Data-poisoning attacks might be more practical than previously believed. https://t.co/TXOCY9c25t ...

This research was a collaboration between Anthropic, the @AISecurityInst, and the @turinginst.Read the full paper: https://t.co/zPS1eRXbIG ...