Figure 2 shows observed exposure (in red) compared to β from Eloundou et al. (in blue), illustrating the difference between theoretical and actual use on our platform, grouped by broad occupational categories. We calculate this by first averaging to the occupation level weighting by our time fraction measure, then averaging to the occupation category weighting by total employment. For example, the β measure shows scope for LLM penetration in the majority of tasks in Computer & Math (94%) and Office & Admin (90%) occupations.
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30多歲的阿晞是台灣旅遊常客,一年往返三、四次,1月來了趟「電影旅程」觀影,她說行動門檻不高,在時間及價錢上也可以接受,但「沒有偉大到為了電影而飛過去」,日後會否再度成行,主要視乎本身對影片的興趣,不會僅僅因為無法上映而離港,觀影是「為我去玩的行程添加意義」。