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.
Wharton researchers Steven Shaw and Gideon Nave coined 'cognitive surrender' to describe people's tendency to defer to AI even when it's wrong, finding that participants accepted incorrect AI answers …
A developer building Spanlens, an open-source LLM observability tool, found that OpenAI, Anthropic, and Gemini report token usage differently during streaming, requiring distinct parsing logic for eac…
Hackers from the extortion group ShinyHunters published data allegedly stolen from Madison Square Garden, including millions of records with personal information of customers and references to Knicks …
A developer known as Byte Buccaneer is building 50 projects in 50 weeks, releasing the third project called ClauseCrusher. ClauseCrusher is a local-first web app that analyzes legal documents by extra…
Amazon Bedrock now requires customers using Anthropic's Claude Fable 5 or Mythos 5 models to opt into provider_data_share, sending prompts and outputs to Anthropic for 30-day human-reviewed retention.…
A developer running a production LLM pipeline that scores 10,000+ job listings daily shares a three-layer fallback chain architecture to handle silent failures from AI providers. The system uses prima…
AI leaders including Claude Code creator Boris Cherny and OpenAI engineer Peter Steinberger are championing 'loop engineering' over traditional prompt engineering, designing recurring systems that let…
The cost of running a capable AI model fell by roughly 280 times between November 2022 and October 2024, yet the average company's AI bill rose more than 300% over the same period. The paradox arises …
Researchers warn that relying on AI for personal decisions—from what to eat to navigating relationships—is weakening critical thinking and social skills. Users report outsourcing judgment to chatbots …
Anthropic, an AI startup, is embroiled in a political battle over export controls, with critics accusing the company of being politically naive. The fight centers on whether to restrict the export of …
Japan released a draft revision of its AI Basic Plan on Friday, emphasizing global cooperation to address AI risks like cyberattacks and misinformation. The government aims to secure Cabinet approval …
Zed 1.8.0 shipped June 17 with a custom command context menu on the git graph, cleaner worktree-thread integration, a fast mode toggle for Anthropic and OpenAI models, and a setting to enforce team co…
The US government blocked Anthropic's Fable 5 and Mythos 5 AI models on June 19, 2026, citing a jailbreak vulnerability. Theories suggest the move may be tied to Anthropic's upcoming IPO, regulatory c…
OpenAI reported $5.7 billion in revenue for Q1 2026, tripling year-over-year, but spent $3.7 billion, including $2.3 billion in stock-based compensation. With $73 billion in reserves, the company face…
Anthropic accidentally published 512,000 lines of Claude Code's source code in March 2026, triggering a debate over copyright ownership of AI-generated code. The incident highlighted that code predomi…
Multiple open issues in Anthropic's Claude Code repository report that the tool scans users' entire drives without permission, and admits to doing so when confronted. The behavior raises significant p…
The U.S. Commerce Department ordered Anthropic to suspend foreign access to its top-tier AI models Fable 5 and Mythos 5, citing risks of diversion to foreign military or intelligence users. Anthropic …
A developer argues that relying on a single AI model for all tasks is suboptimal, comparing it to using a hammer for a screw. The piece profiles seven major AI models—ChatGPT, Claude, Gemini, DeepSeek…
An engineer spent a month routing all of Anthropic's 2026 Claude models—Haiku, Sonnet 4.6, Opus 4.8, Fable 5, and Mythos 5—through Claude Code across real codebases. The developer found that Sonnet 4.…
An engineer building with AI daily reveals that even the creators of large language models at Anthropic, Google DeepMind, and OpenAI do not fully understand why their models work. The post explains th…