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到了2026年广州两会的政府工作报告中，这个战略构想更加清晰了：坚持“产业第一、制造业立市”的总体要求，把握制造业与服务业“两业融合”、数智化与绿色化“两化转型”的主攻方向，发展15个战略性产业集群和6个未来产业，做强8个现代服务业。
。新收录的资料是该领域的重要参考
当前数据集仍在持续扩展中，已包含超过 4,700 个研究级实例，每个实例附有 20+ 条 Rubric 项，覆盖 50+ 学科和 400+ 研究方向。专家标注平均每条样本投入 1-2 小时。学科覆盖从量子物理和有机化学到社会文化人类学和计算语言学均有涉及。
There's a useful analogy from infrastructure. Traditional data architectures were designed around the assumption that storage was the bottleneck. The CPU waited for data from memory or disk, and computation was essentially reactive to whatever storage made available. But as processing power outpaced storage I/O, the paradigm shifted. The industry moved toward decoupling storage and compute, letting each scale independently, which is how we ended up with architectures like S3 plus ephemeral compute clusters. The bottleneck moved, and everything reorganized around the new constraint.