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An example summary from Vogel’s Distill meeting summarizer, powered by Amazon tech.Image Credits:Distill

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How does Amazon CTO Werner Vogels — a human being worth untold millions , who during the COVID-19 pandemic instantaneously buy the small Central Amsterdam Airbnb he ’d been hold out in — spend his days ? From the looking of it : building AI - power meeting - sum apps . Go figure .

In apostthis hebdomad on Vogels ’ personal blog , he details Distill , an open source app he built with his “ OCTO ” ( part of the CTO ) team to transcribe and summarize their group discussion vociferation . Distill takes an audio recording of a meeting ( in formats like MP3 , FLAC and WAV ) , analyzes it , and generates a summary along with a list of to - do point . It can optionally ptyalise out that summary and list to chopine such as Slack via impost integration .

As one might expect of an app from Amazon ’s CTO , Distill relies conspicuously on paid Amazon intersection and service to do the computational lowering lifting . AWS Transcribe carries out Distill ’s arranging ; Amazon S3 provides memory board for the meeting audio filing cabinet ; and Bedrock , Amazon ’s productive AI development retinue , handles summarization .

But why make a meeting summarizer when there are countless tools out there that would fulfil the purpose ? Well , I have to imagine that Vogels thought , why not ? He has tons of resource at his disposal and on the face of it enough spare time for hobbyist programming projects . Per the blog , he ’s already trying his hand at porting Distill ’s codebase from Python to Rust . ( Being the CTO is nice employment if you may get it . )

One unparalleled matter about Distill is that it lets you select which AI model perform the meeting summarizing . By nonremittal , it ’s Sonnet , a midrange modeling in Anthropic ’s Claude 3 family . ( Amazon ’s large post in Anthropic might ’ve had something to do with that design conclusion . ) But any mannequin hosted in Bedrock will function , like Meta ’s Llama 3 and models from AI startupsMistral AI , AI21 Labs and Cohere .

Vogels does n’t promise that Distill wo n’t make mistake .

“ Remember , AI is not perfect , ” he writes . “ Some of the summary we get back … have errors that call for manual registration . But that ’s OK , because it still speeds up our processes . It ’s simply a admonisher that we must still be discerning and involve in the process . Critical mentation is as significant now as it has ever been . ”

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I ’d argue that having to be “ involve ” in summarizing kind of vote down the point of an automatic summarizer . You might as well charter a stenographer . But you ’ll never catch Vogels traduce the tech his employer ’s merchandising . And that , I ’d wager to say , is why he ’s still CTO .