Aaron Levie：Agent 集群将消耗未来绝大多数 token
If you want to know where all the tokens will get consumed in the future, here it is. Agent swarms will have massive implications in a number of enterprise doma
Box CEO Aaron Levie 认为，Agent 集群将在软件开发、网络安全、生命科学研究、AI 研究、金融等企业领域大量消耗 token，并带来需要 1,000X 更多算力的需求。他指出，智能体可围绕统一目标并行展开、协同工作，突破人类在沟通、状态同步、冲突处理与共享上下文上的限制。被引用的 Prime Intellect 案例显示，其用 2,000+ 个 agent、10,000+ 沙箱和 200B+ GLM-5.3 token 在两周内用 Rust 重写了自身。
查看原帖Over two weeks, Prime Agent orchestrated a swarm of over 2,000 agents to rewrite itself in Rust. With 10,000+ sandboxes, 200B+ GLM-5.3 tokens, and 16,000 agent-to-agent messages, this was our largest test yet of Prime Agent’s multi-agent capabilities and our infrastructure powering these agent swarms. Prime Agent now reaches usable input ~13× faster and…
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Over two weeks, Prime Agent orchestrated a swarm of over 2,000 agents to rewrite itself in Rust. With 10,000+ sandboxes, 200B+ GLM-5.3 tokens, and 16,000 agent-to-agent messages, this was our largest test yet of Prime Agent’s multi-agent capabilities and our infrastructure powering these agent swarms. Prime Agent now reaches usable input ~13× faster and uses 83% less startup memory than before.
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If you want to know where all the tokens will get consumed in the future, here it is. Agent swarms will have massive implications in a number of enterprise domains like software development, cyber, life sciences research, AI research, finance, and more.
The ability to parallelize agents against a unified goal where the volume of work is large, or where the search space not entirely known upfront, is going to be massive.
Agents can fan out and coordinate work together on a specific mission in completely different ways from what humans are able to do. Today even in the most resource-abundant organizations, your ability to parallelize work on most projects is quite limited. Humans run into constraints on being able to communicate with one another, share status, deal with conflicts in work, keep shared context, and so on.
As AI models can handle larger context without getting confused, and as they’re able to communicate effectively across their work with shared infrastructure, they can avoid many of the pitfalls that people have.
You can see how this can lead to not just faster execution of tasks, but qualitatively different outcomes in medicine, research or defending against cyber attacks, scientific and math discoveries, and so on. This is why we’re going to need 1,000X more compute.