Deepnote releases Agent Initiative Benchmark to test when AI agents should join Slack conversationsMachine translation

@rohanpaul_ai Thanks for sharing @rohanpaul_ai 💙

This is a beautiful concept for a benchmark. Deepnote (@deepnotehq), an agent workspace company, released the Agent Initiative Benchmark, a test that drops proactive agents into a company Slack and scores whether they know when to jump in, what to say, and when to stay quiet. GPT-6 Astra led with 8.97 out of 10, and GPT-6.1 Sol followed at 8.65 for $0.11 per task, against $1.87 per task for third-placed Claude Fable 5.2. It runs every model through the same loop: > A thread starts in a simulated company’s Slack > The agent decides whether to act at all > It picks which of 11 services to check and investigates > It posts and tags the right people, or stays silent > Two LLM evaluators score the run 0 to 10 against a reference answer