Jev 与 Snap 在 agent 微决策上的对比
作者认为 Snap 的 384K 决策上下文是 Jev 的 12 倍,更适合工单分流、线索筛选、合同条款这类即时判断。
damn Jev just got lapped. Snap now has 12x Jev's decision context. and these decision models mog LLMs for micro-decisions where your agent needs an instant answer: > which ticket needs a human? > is this lead worth chasing? > does this contract clause break our rules? otherwise, you're just wasting time and tokens waiting for Claude to generate an answer when your agent just needs: > yes/no > a choice > or a score its basically like hiring a rocket scientist to sort support tickets. and with a massive 384K tokens, Snap can factor in more customer history, past deals and company rules when making those calls.
这条是引用着另一条写的:x.com/1852784336640331777/status/210967636137182…