2841 related articles

Anthropic has never open-sourced Claude's model weights. As OpenAI, Meta, and Google embrace open source, is Anthropic's AI safety stance genuine caution or a commercial moat? A deep dive into the debate.

Anthropic is migrating Claude from subscriptions to pay-as-you-go credits. This deep dive explains the mechanics, rationale, industry impact, and user strategies for this billing revolution.

Anthropic's Applied AI team breaks down a methodology for choosing AI models: building custom evals, avoiding three common pitfalls, measuring value by cost per success, and cutting costs with prompt caching and context engineering.

Andrew Ng's DeepLearning.ai teams up with Anthropic to teach Agent Skills: file structure, progressive disclosure, MCP integration, and the full path from Claude.ai to the Agent SDK.

Andrew Ng and Anthropic's Claude Code course covers RAG development, data analysis, and Figma-to-frontend projects, with deep dives into context management, MCP tools, and CLAUDE.md architecture.
Paying $65,000 to Join Anthropic? The …
Hacker News debate: what are the real hidden costs of joining Anthropic or OpenAI? We break down elite barriers, IPO equity expectations, and opportunity inequality in the AI talent war.

OpenAI's adjusted operating margin hits -122%, Anthropic's profitability remains murky, and SpaceX claims a $22.7T AI market. A deep dive into three AI giants' real financials and the capital game behind the IPO race.

Anthropic's conservative compute bet two years ago is now being exploited by OpenAI across three dimensions: subscription value, quota generosity, and developer sentiment.

Unpacking the technical truth behind Anthropic's account bans: hidden timezone and proxy detection logic sparks privacy debate. Plus Claude Sonnet 5, Linux support, and new releases from OpenAI, NVIDIA, and Google DeepMind.
Anthropic Open-Sources CWC Workshops: …
Anthropic open-sources cwc-workshops on GitHub — a TypeScript-based, structured workshop covering Prompt design, Tool Use, and Agent orchestration to help developers master Claude integration.

Opus 5 rumors stir Anthropic's Reddit community: will it replace Fable? A deep dive into polarized reactions, the token consumption paradox, and Anthropic's user trust challenges.

Anthropic engineer Talik's AI collaboration methodology: 5 practical techniques—blindspot checks, mockups, Socratic interviews, plan audits, and process notes—to systematically unlock AI's true potential.

OpenAI is reportedly in internal discussions about major API token price cuts targeting Anthropic's user base. We analyze the market logic, developer impact, and where AI infrastructure competition is headed.

Sam Altman publicly mocked Anthropic and Claude on X, calling their marketing "satire" and slamming access restrictions. A deep dive into the AI giants' PR war.
Deep Dive into AI Agent Skill Design: …
A deep dive into Skill design philosophy from Anthropic's Claude Code team and Perplexity's Agent team, covering the Tax Test, Gotchas Flywheel, progressive disclosure, and Eval-First practices for building high-quality AI Agent skill systems.
Zig Creator Calls Out Anthropic: The G…
Zig creator Andrew Kelley publicly criticizes Anthropic for "blowing smoke" in AI marketing. A deep dive into the tension between AI hype and engineering integrity.
Anthropic's Repeated Extensions of Cla…
Anthropic keeps extending Claude Fable 5 access while OpenAI pledges no restrictions on GPT-5.6. How uncertainty is becoming Anthropic's biggest competitive weakness.

Anthropic's Fable model keeps getting last-minute access extensions, sparking Reddit backlash. We break down the compute constraints, competitive pressure, and scarcity marketing at play.

Anthropic launches Project Glass Wing—its Mythos Preview model found over 10,000 critical infrastructure vulnerabilities in hours, spanning 150 organizations across 15 countries. A deep dive into AI security auditing.

Anthropic officially rolls out a "reflect" annual recap feature for Claude, similar to Spotify Wrapped, helping users visualize their AI usage data. This piece analyzes its design logic, privacy risks, and the AI humanization trend.