@teach_fireworks / X longform
This guy is responsible for the research and development of Claude Cowork, so you can pay attention! I feel that it won’t be long before Cowork can be split off, but now it’s ju...
This guy is responsible for the research and development of Claude Cowork, so you can pay attention!
I feel that it won’t be long before Cowork can be split off, but now it’s just too token-intensive.
Limit some scenarios and refer to browser use best practices, and reduce the token consumption by 7 to 9, which is almost enough.
I remember there seems to be a skill that can already do it.
Visual summary
Generated from the post's content graph
flowchart LR
format-short_note["short signal"]
topic-ai-workbenches["ai workbenches"]
topic-technical-distribution["technical distribution"]
topic-retrieval["retrieval"]
capability-ai-native-workbench["AI-native workbench"]
format-short_note -->|covers| topic-ai-workbenches
format-short_note -->|covers| topic-technical-distribution
format-short_note -->|covers| topic-retrieval
format-short_note -->|signals| capability-ai-native-workbenchVisual structure
Built from summary and key paragraph positions
flowchart LR
thesis["This guy is responsible for the research and development of Claude Cowork, so you can pay attention! I feel..."]
signal["This guy is responsible for the research and development of Claude Cowork, so you can pay attention!"]
operator["Limit some scenarios and refer to browser use best practices, and reduce the token consumption by 7 to 9, w..."]
implication["I remember there seems to be a skill that can already do it."]
thesis -->|frames| signal
signal -->|develops| operator
operator -->|lands in| implication