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.
At its annual Google I/O event, Google announced the launch of Pics, a new AI-powered design and image-generation app for Google Workspace that allows users to create visuals like social media graphic…
At the Google I/O developer conference, Google announced Gemini Spark, a new agentic personal assistant built from Gemini models and integrated with Gmail, Google Docs, and other Workspace products. U…
At the 2025 I/O developer conference, Google announced Gemini Spark, an AI agent that proactively gathers personal data and takes actions on behalf of users, such as flagging credit card fees or draft…
Mozilla AI researchers argue that artificial intelligence agents will no longer use existing human interfaces like menus, mice, and canvases, but instead require apps rebuilt around structured data th…
Andrej Karpathy, a co-founder of OpenAI and former AI leader at Tesla, has joined Anthropic to work on pre-training research, focusing on using its Claude model to accelerate the development of large …
Andrej Karpathy, a prominent AI researcher and co-founder of OpenAI, announced he has joined Anthropic. Karpathy stated he is excited to return to research and development at the frontier of large lan…
A developer hired to port a legacy PHP application to Rails using Anthropic's Claude Code tool encountered frequent service outages, session management issues, and unintended code generation that igno…
Anthropic has launched Claude Cowork, an autonomous agent within the Claude Desktop app that can read, edit, and create files directly on a user's computer without manual uploads or copy-pasting. The …
Cloudflare and Anthropic have partnered to integrate Claude Managed Agents with Cloudflare Sandboxes, giving developers more control over agent infrastructure, security, and observability. The integra…
AI safety research receives systematically less funding than societal risk levels demand, according to a new analysis of incentive structures in the artificial intelligence industry. The gap between w…
Forge is a reliability layer for self-hosted LLM tool-calling that uses guardrails and context management to dramatically improve performance on multi-step agentic tasks, boosting an 8B model from 53%…
Vlad Feinberg published a guide on how to land a job at a frontier AI lab focused on pretraining, emphasizing kernel-level performance work as the most direct path into the labs. The guide recommends …
Using GitHub Copilot CLI as a triage tool to manage open-source contributions across over 40 repositories. The workflow relies on four key prompts: explaining a repo's architecture, locating specific …
To measure and monitor prompt cache hit ratios in Hermes Agent to reduce costs, as cache-breaking significantly increases expenses. It introduces a Python library called cachebench that wraps model cl…
The article investigates whether increasing an AI model's "thinking time" through additional recurrent loops during inference improves its performance, using a small-scale OpenMythos model trained on …
Claude Code automatically scans project files, including `.env` files containing sensitive credentials like database passwords and API keys, as soon as a project is opened. A GitHub issue confirmed th…
Anthropic's "Dreams" feature is not merely a personalization tool but an asynchronous memory consolidation pipeline that processes user data during low-demand periods to improve GPU utilization and re…
AI is transitioning from experimental demos to foundational infrastructure, as evidenced by major investments and corporate restructuring. Key developments include Google and Blackstone planning a $5 …
Key developments in large language models (LLMs) from November 2025 to May 2026, highlighting a critical inflection point where coding agents became reliably effective for daily use. During this perio…
Firetiger used an AI agent to optimize LLM prompt cache TTLs in production, reducing waste by 77% over several weeks by hill-climbing against telemetry and cost data. The agent autonomously measured s…