Anthropic is an AI safety company founded in 2021 by former OpenAI researchers, including Dario and Daniela Amodei. It develops the Claude family of AI assistants and focuses on AI interpretability and safety research.
A developer built two AI tools—TeachSim and GitHub Digest—and realized the second tool revealed how they should be learning AI. The developer found that hands-on projects with real stakes led to deepe…
Micron Technology reported record fiscal Q3 2026 revenue of $41.46 billion, crushing analyst estimates by over $6 billion, driven by surging AI demand for memory chips. The company also announced a st…
Hong Kong can position itself as a regulatory bridge between US and Chinese AI ecosystems amid escalating decoupling, as US export controls on AI models backfire by accelerating Chinese innovation and…
Google has delayed the release of its Gemini 3.5 Pro AI model from June to July to gather more feedback from early testers and refine the model. The delay comes amid intense competition from Anthropic…
The Washington Post tested six leading AI chatbots and found that OpenAI's ChatGPT gave exclusively left-leaning answers 80% of the time, with DeepSeek at 70% and Anthropic's Claude never giving a rig…
An engineer synthesized over 60 publicly-reported first-hand accounts to compare the software-engineering interview loops at Anthropic and OpenAI. The analysis reveals that both companies have similar…
Micah Lasher won the Democratic primary for New York's 12th congressional district with 39.1% of the vote, defeating eight candidates. He issued a defiant message to OpenAI and Anthropic, vowing not t…
A Korean developer analysis revealed that Claude Code's 'Extended Thinking' text is a 600-character encrypted signature, not the model's reasoning, making agent audits impossible. Meanwhile, Anthropic…
Anthropic accused Alibaba of running 25,000 fake accounts to steal nearly 29 million conversations from its Claude AI model, marking the largest known distillation attack. The accusation, detailed in …
Anthropic released a guide showing developers how to build an AI newsletter digest workflow using Claude Code, Gmail MCP, and the /goal command to automatically scan Gmail inboxes for AI news, score s…
Anysphere, the company behind the Cursor code editor, has trained its own frontier AI model called Composer 2.5 on Qwen 2.5 Coder using novel reinforcement learning techniques, enabling it to compete …
GLM 5.2 from Zhipu AI outperforms Anthropic's Claude Opus 4.8 in UI generation tasks including 3D scenes, dashboards, landing pages, and mini games, while costing up to 10 times less. The comparison r…
Anthropic's Claude Code introduces /goal and /routines commands that enable autonomous, scheduled workflows. The /goal command keeps Claude running until specific completion criteria are met, while /r…
Developers can now run Zhipu AI's GLM 5.2 model inside Anthropic's Claude Code coding environment by routing API calls through OpenRouter, using the ANTHROPIC_BASE_URL environment variable to point to…
OpenAI unveiled its first custom AI chip, codenamed Jalapeño, built with Broadcom, marking a shift toward hardware self-sufficiency. Google embedded computer use directly into Gemini 3.5 Flash, moving…
Anthropic launched Claude Tag, an always-on AI agent that joins Slack channels as a persistent team member, replacing its older Slack connector. The agent builds long-term memory of projects and decis…
A comparison of four terminal coding agents in 2026—goose, Claude Code, OpenCode, and Pi—finds that frontier models have largely converged, making the harness around them the key differentiator. Claud…
A new analysis argues that if AI surpasses human capabilities in all work, a permanent underclass will emerge, and even the wealthy and powerful will be disempowered by machines. The author contends t…
Loop engineering, a new trend in software development, allows engineers to design autonomous coding agents that operate without human intervention, freeing them from manual prompting. The concept, pop…
Enterprises are increasingly migrating AI workloads from cloud APIs to on-premises infrastructure due to data sovereignty, regulatory pressure, cost predictability, vendor independence, and security c…