AI Daily Digest: 开源逆转闭源 — GLM-5.1 击败 GPT-5.4,Claude Mythos 被锁进保险箱 - 2026/04/16
· 6 min read
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。
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.