There are also significant differences in how the schema adherence is enforced (per-tool strict flags vs request-level mode enforcement) and how responses are received (tool_calls array vs tool_use context block vs functionCall) This doesn’t even get into their behavioral differences with regards to how prompts must be tweaked to get optimal performance out of each model. As you can imagine, building an agent that is model agnostic is a massive headache as a result. Here’s a quote from a blog
When writing to a DRAM an important timing parameter that cannot be violated is tDQSS. tDQSS is the position of the DataStrobe (DQS) relative to Clock (CK). tDQSS has to be within a tDQSS(MIN) and tDQSS(MAX) as defined in the spec. If tDQSS is violated and falls outside the range, wrong data may be written to the memory.
。Snipaste - 截图 + 贴图对此有专业解读
4.本质上就是 AI 和机器人会制造出如此多的东西，提供如此多的服务，以至于人类实际上会因为全方位服务而“无事可做”，他们会找不到活干。
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