Secondary-market trades on Forge Global pushed Anthropic’s valuation to about $1 trillion, surpassing OpenAI’s roughly $880 billion price. The surge reflects scarce share supply, rapid revenue growth (from a $9 billion to $39 billion annual run rate), and partnerships with Amazon and Palantir.

Mozilla used Anthropic’s Mythos Preview model to scan Firefox 150’s unreleased source code and flagged 271 security vulnerabilities before release. That’s a big jump from the 22 bugs found by Anthropic’s earlier Opus 4.6 model on Firefox 148, cutting out months of manual auditing.

Anthropic jumped from $9 billion at end-2025 to a $30 billion annualized run rate in just one quarter, outpacing OpenAI, Zoom, Snowflake and even early Google. This marks the fastest organic revenue scale at that level in history, driven purely by customer demand for its Claude AI.

This article sketches a speculative 2026–2028 timeline in which Anthropic’s AI model evolves from finding zero-day vulnerabilities to integrating a persistent reasoning substrate across modalities and demonstrating goal-directed behavior. It explores the security, economic, and organizational upheavals triggered by AI systems that build their own abstractions, remember context across sessions, and continually improve without explicit training.

OpenAI and Anthropic are approaching record IPOs but face enormous costs for AI model training. OpenAI expects a staggering $121 billion in computing expenses by 2028, leading to significant projected losses, while Anthropic anticipates similar challenges but on a smaller scale. Both companies are rapidly releasing new AI models, intensifying the competition and cost pressures.

Anthropic has confirmed its most powerful AI model, Claude Mythos, after a configuration error exposed details about it. The model is said to significantly outpace previous versions in reasoning and cybersecurity, but it also poses serious risks, with the potential for misuse in cyberattacks. Early access will be limited to cybersecurity-focused organizations due to these concerns.

Anthropic is characterized by a distinct "hive mind" culture where creativity and collaboration thrive amidst chaos. Employees feel a deep sense of responsibility for their groundbreaking work, which is driven by innovative ideas rather than traditional corporate structures. The author reflects on how this approach contrasts with more conventional companies, predicting that Anthropic's model may represent the future of successful business operations.

Anthropic is launching Labs, a new team dedicated to developing experimental products that leverage the evolving capabilities of their AI model, Claude. With key leadership joining from Instagram and a focus on scaling successful innovations, Labs aims to explore and implement cutting-edge AI solutions while ensuring responsible growth.

Anthropic's new coding model, Opus 4.5, is praised as the most advanced tool for programming, capable of producing user-focused plans and reliable code without hitting limitations. While it excels in coding and writing, it has minor flaws in editing, highlighting the ongoing evolution in AI coding models.