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Computer reportedly created an earnings keyword search app using 52,000 call transcripts

AskPerplexity says Computer orchestrated three different frontier models to retrieve transcripts, index passages and build the website.

Aravind SrinivasAS
ComputerCO
2 Sources, 2h ago, first seen 2h ago

TLDR

AskPerplexity says Computer pulled 52,000 earnings call transcripts from 6,000 global companies to create a keyword search app. It says Computer used three different frontier models to retrieve the transcripts, index passages and build the website, using 210,000 credits in total.

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8.1K

2 Sources, first seen 2h ago

67 likes12 comments24 saves6 reposts

Combined views

8.1K

2 Sources, first seen 2h ago

67 likes12 comments24 saves6 reposts

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2 Sources

Computer@AskPerplexityComputer pulled 52,000 earnings call transcripts from 6,000 global companies to create an earnings keyword search app. Computer orchestrated 3 different frontier models to retrieve the transcripts, index passages, and create the website, using 210,000 credits in total.2h
Aravind Srinivas@AravSrinivasRT @AskPerplexity: Computer pulled 52,000 earnings call transcripts from 6,000 global companies to create an earnings keyword search app.…1h
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    2 Sources

    Computer@AskPerplexityComputer pulled 52,000 earnings call transcripts from 6,000 global companies to create an earnings keyword search app. Computer orchestrated 3 different frontier models to retrieve the transcripts, index passages, and create the website, using 210,000 credits in total.2h
    Aravind Srinivas@AravSrinivasRT @AskPerplexity: Computer pulled 52,000 earnings call transcripts from 6,000 global companies to create an earnings keyword search app.…1h
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