AI 金句日刊 Vol.63：Agent 进入执行层

01｜Agent 不只是被调用

Lightning strikes for continuous and long-run agents!

Nemotron 3.5 Lightning is smart, fast, efficient and open.

02｜先让执行跑得快

Introducing NVIDIA Nemotron 3.5 Lightning⚡

An open 30B MoE model with 3B active parameters, built for always-on agents to complete high-volume, specialized tasks faster.

It delivers up to 4x the output speed of similar-sized models.

03｜每一步，不必都用同一个模型

Today, NVIDIA announced NVIDIA Nemotron 3.5 Lightning, a customizable model for high-volume, specialized work, and NVIDIA NeMo Switchyard, which helps agents route each workflow step across the models they choose. ⚡

04｜智能，开始按客户计量

Continual learning is a bet that the retraining loop will get cheaper over time. With larger models, you can maybe run this loop once every few weeks. But with smaller models, you can run it nightly, per customer. And it keeps recursing: a model per company, then a model per client that company serves, then per matter. We’re getting closer to intelligence cheap enough to meter.

05｜定制训练，先把成本压下来

We post-trained @NVIDIAAI Nemotron 3.5 Lightning on Legal Agent Bench with @trajectorylabs.

Here's what we found:

1. Post-training improved agent performance from 0% to 8.3% on held-out LAB tasks, beating both Opus 4.6 and the much larger post-trained Nemotron 3 Ultra.
2. Performance improved across nine practice areas with no regressions.
3. Post-training reduced average model output from 90k to 37k tokens, increasing the model's reward-per-token by 2.4x.