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Anthropic has revised its data retention policy in response to enterprise pushback, allowing customers to keep their own data. The move reflects growing concerns over data sovereignty and privacy in the AI industry.
Anthropic is leveraging its most advanced AI model, Claude Mythos 5, to power its cybersecurity tools, enhancing code vulnerability detection and defense mechanisms.
Anthropic has upgraded Claude Security with its advanced Claude Mythos 5 model, enabling enterprise teams to perform vulnerability scanning without direct model access. The tool integrates with GitHub, provides detailed findings with CWE categories and suggested patches, and prioritizes safety by avoiding prompt-based interactions.
Anthropic has revealed it is using an unpublished, highly capable AI model internally, codenamed Model 2, which surpasses any publicly available version of Claude.
Anthropic's Claude language model has demonstrated the ability to design proteins with a 35% hit rate in drug development, outperforming industry standards. The breakthrough could democratize protein design for labs worldwide.
OpenAI has slowed its AI development pace amid increasing competition and regulatory pressure, pausing some activities to strengthen security and safeguards.
Anthropic's Claude Code now includes a /design command that allows developers to generate UI mockups directly in the terminal, integrating visual design into the coding workflow.
Anthropic CEO Daniel Amodei argues that AI centralizes naturally, and that open models merely shift power to those who own the most computing resources. His comments have ignited a debate with critics accusing him of using fear to gain regulatory advantage.
A surprising discovery reveals that avoiding Claude's watermarking is simpler than expected, coming from an unconventional source. This finding could reshape how users interact with AI-generated content.
Anthropic's per-token cost is 4.4 times higher than competitors on Vercel, yet developers continue to use its models.
This explainer explores the concept of annualized revenue in AI companies, using Anthropic's rapid revenue growth as a case study to understand how AI business models generate and project financial value.
Anthropic's new text watermarking for Claude aims to make AI-generated content detectable, but critics question its impact on natural language and raise legal concerns.
