2026 年 4 月 17 日，AI 行业经历了又一个密集发布日：Anthropic 的 Claude Opus 4.7 在 14 项基准测试中赢了 12 项，OpenAI 发布了首个生命科学专用模型 GPT-Rosalind，Mozilla 则用开源的 Thunderbolt 向企业 AI 发起了挑战。
2026 年 4 月 的 AI 行业正在经历一场深刻的哲学分裂：最强的模型不再是最贵的，最开放的不再是最弱的。
In the early days of the Generative AI revolution, the industry was obsessed with "Parameters." We measured progress by the billions, then trillions, of weights packed into a model's neural architecture. But by 2026, the consensus has shifted. As we stand in the era of Gemini 3.0 and Claude 4, we’ve realized that raw intelligence is useless without a high-fidelity, low-latency "Working Memory."
Welcome to the age of Context Engineering. If the LLM is the CPU, context is the RAM. And just as in traditional computing, the way we manage this RAM defines the ceiling of what the system can actually accomplish.