Surface
Breaking news and emerging developments

New Malware Families Signal LLMs Now Require System-Level Threat Monitoring
Google's threat intelligence team has documented operationalized malware families that weaponize LLMs during execution, confirming what security researchers have long warned: AI applications face a class of threats that traditional security tools cannot detect. A convergence of industry reports in early 2026 outlines what a credible monitoring posture now requires. With 40% of enterprise applications projected to integrate AI agents by end of 2026, the attack surface is expanding faster than most security programs can track.
Anthropic acquires Vercept to expand Claude's computer control capabilities
Anthropic has acquired Vercept, an AI company specializing in computer vision and interface interaction, to advance Claude's ability to autonomously control and operate software applications.
Pentagon sets Friday deadline for Anthropic to drop AI ethics rules
Defense Secretary Pete Hegseth has given Anthropic until Friday to remove restrictions on military use of its AI, threatening to invoke the Defense Production Act. Anthropic CEO Dario Amodei is holding firm, refusing to allow autonomous weapons targeting or mass surveillance. The Pentagon is pursuing parallel deals with Google, xAI, and OpenAI.
OpenAI releases GPT-5.3-Codex with 400K context and cybersecurity warning
OpenAI released GPT-5.3-Codex, its most capable agentic coding model, featuring a 400K context window, 25% speed improvement, and the first 'High capability' cybersecurity designation under its Preparedness Framework.
Anthropic drops flagship AI safety pledge from policy
Anthropic has dropped the central commitment of its Responsible Scaling Policy, eliminating the pledge to halt AI training until safety measures are verified in advance. The new RSP v3 replaces this unconditional guarantee with a conditional system.

The Trust Deficit: When AI Does Things No One Intended

The Week Enterprise AI Hit the Balance Sheet
In the week of February 18-24, 2026, three events converged to make the enterprise AI adoption gap legible in financial terms. IBM fell approximately 13% in a single trading session on the same day Anthropic announced AI tools for writing COBOL, the 66-year-old programming language that still runs $3 billion in daily commerce. OpenAI's COO publicly stated that enterprise AI has not yet penetrated enterprise business processes. And a Microsoft Copilot bug had been silently bypassing data loss prevention policies for weeks. Together, these events reveal an adoption gap that is real, consequential, and structurally deeper than any single product announcement can resolve.
DeepSeek trained models on banned Nvidia Blackwell chips
DeepSeek has apparently circumvented US export controls to train advanced AI models on Nvidia's Blackwell processors, with Google, OpenAI, and Anthropic actively preparing for a major competitive challenge.
Meta signs up to $100B AMD chip deal in major NVIDIA diversification push
Meta and AMD announced a multiyear agreement worth up to $100 billion for AMD AI chips, marking one of the largest AI hardware commitments in history and a decisive step toward breaking NVIDIA's dominance in AI compute.

The Model Thieves: Alleged Industrial-Scale Distillation of Claude
Anthropic accused three Chinese AI laboratories of conducting industrial-scale campaigns to extract Claude's capabilities through more than 16 million API exchanges routed through approximately 24,000 fraudulent accounts. The named companies -- DeepSeek, Moonshot AI, and MiniMax -- had not publicly responded at time of publication. Whether these allegations fully prove out, the disclosure marks a threshold: the global AI competition has entered a phase in which the trained model is the prize.

The Great AI Land Grab: Who Controls the Infrastructure That Will Run the World
LangChain releases langchain-core 1.2.15 with tool schema fixes
LangChain released langchain-core version 1.2.15, fixing error handling for non-JSON-serializable tool schemas and improving documentation for chat model event hooks.
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