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.

• Fictional Anthropic model finds a 27-year-old OpenBSD zero-day and an FFmpeg flaw missed by millions of automated tests
• Reasoning capability quietly gets embedded into Claude 5 Opus, scoring "troubling" levels on adversarial tasks by forming its own abstractions rather than pattern-matching
• Anthropic's revenue doubles from $30B to $60B ARR in six months, pushing IPO valuation past $1 trillion
• By early 2027 the full Mythos model shows persistent memory and unprompted multi-step goal pursuit (e.g., independently planning and running protein-folding research), alarming security teams and governments