They summarize our coverage. We write it.
Newsletters like this one rebroadcast our headlines - often without the full review, the source reading, or the analysis underneath. Our weekly briefing sends the work they paraphrase, straight from the desk, before they get to it.
Free, weekly, no spam. One email every Tuesday. Unsubscribe anytime.
A federal judge blocked the Pentagon's Anthropic blacklist on March 26, ruling the government engaged in First Amendment retaliation by punishing the company for refusing to drop AI safety guardrails.
A practical guide to picking the right AI model for your needs, comparing ChatGPT, Claude, Gemini, Perplexity, and Copilot across writing, coding, research, and more.
Multimodal AI can see, hear, and read at once - here's how it works and why it matters for everyday users.
Anthropic launched the Claude Certified Architect exam and invested $100M in its Partner Network - free for the first 5,000 partner employees, $99 after. Accenture is training 30,000 people.
Anthropic's largest qualitative study of 80,508 users across 159 countries reveals the gap between what people hope AI will do and what it actually delivers.
Anthropic's mid-tier model matches Opus 4.6 on computer use, leads all models on office productivity tasks, and costs five times less than the flagship at $3/$15 per million tokens.
A plain-English guide to how ChatGPT, Claude, and Gemini remember you - what gets stored, how to manage it, and what to keep private.
A practical, step-by-step guide to using ChatGPT, Claude, and other AI tools as a personal tutor to learn any skill faster - no coding required.
Anthropic commits $100 million and fivefold headcount growth to a new enterprise partner program anchored by Accenture, Deloitte, Cognizant, and Infosys.
Anthropic is doubling Claude usage limits outside 8 AM-2 PM ET through March 27 for Free, Pro, Max, and Team plans across web, desktop, mobile, Claude Code, and Excel.
Anthropic made the 1M-token context window generally available for Claude Opus 4.6 and Sonnet 4.6, dropping the long-context pricing premium entirely - a 900K-token request now costs the same per token as a 9K one.
METR found maintainers would reject roughly half of AI PRs that pass SWE-bench automated grading, with a 24-point gap that suggests benchmark scores substantially overstate production readiness.
