Rohan Paul (@rohanpaul_ai)T2·Agents
72 pts
Deepnote released the Agent Initiative Benchmark, which drops proactive agents into a simulated company Slack and scores whether they know when to intervene, what to say, and when to stay silent. GPT-6 Astra led at 8.97 out of 10, with GPT-6.1 Sol close behind at 8.65 at just $0.11 per task, versus $1.87 per task for third-placed Claude Fable 5.2. The open-source dataset and benchmark code give builders a reproducible basis for choosing models for proactive agent use cases.