Google's Chrome team has released an early preview of WebMCP, a new web standard enabling direct communication between websites and AI agents. Site owners can now explicitly define how AI agents interact with their services, replacing unreliable DOM scraping with structured APIs.
A February 28, 2026 Hacker News thread discussed NanoClaw’s security model, emphasizing untrusted-agent assumptions, per-agent isolation, and limits of prompt-level safeguards.
Perplexity announced Perplexity Computer on 2026-02-25 and described it as a system that can research, design, code, deploy, and manage projects end-to-end. In the same X thread, the company said the product routes work across 19 models and launches first for Max subscribers on web.
Anthropic analyzed millions of real Claude interactions and found the 99.9th percentile session duration nearly doubled to 45+ minutes in 3 months, with software engineering accounting for nearly half of all agentic use.
OpenAI introduced EVMbench, a new benchmark measuring how well AI agents can detect, exploit, and patch high-severity smart contract vulnerabilities in EVM-based blockchains.
SecurityScorecard's STRIKE team found 40,214 OpenClaw AI agent instances exposed to the public internet with no authentication. Over 12,000 are vulnerable to Remote Code Execution, and attackers who compromise them inherit full system access including SSH keys, browser sessions, and filesystem control.
ByteDance released Doubao 2.0 ahead of Lunar New Year, claiming GPT-5.2 and Gemini 3 Pro parity with 98.3 on AIME 2025, a 3020 Codeforces rating, and pricing 10x cheaper than Western rivals.
Claude Opus 4.6 achieved a 50%-time-horizon of approximately 14.5 hours on METR's software task benchmark — beating all predictions and suggesting a doubling time of under 3 months for AI task capabilities.
Andrej Karpathy coined a new term for OpenClaw-like AI agent systems: "Claws." Just as LLM agents were a new layer on top of LLMs, Claws provide orchestration, scheduling, persistent context, and tool calls on top of LLM agents.
A high-signal Hacker News thread highlighted Anthropic's February 18, 2026 analysis of millions of agent interactions. The report tracks growing practical autonomy, evolving human oversight behavior, and early but rising higher-risk usage patterns.
A Docker guide on running NanoClaw inside a Shell Sandbox reached 102 points on Hacker News, highlighting a practical pattern for isolating agent runtime, limiting filesystem exposure, and keeping API keys out of the guest environment.
Anthropic announced on February 2, 2026 that it is partnering with the Allen Institute and Howard Hughes Medical Institute (HHMI) on AI-enabled life-science workflows. The stated goal is to reduce analysis bottlenecks and improve transparent, interpretable scientific reasoning.