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Generative AI: What is it and is it coming for your job? - Episode 351 - by cryptohunt.it

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Manage episode 354280440 series 3330746
cryptohunt에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 cryptohunt 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

Generative AI: What is it and is it coming for your job?

Welcome to the Cryptohunt Jam, where you learn – in just a minute or two a day – what is happening in crypto and other game-changing ideas. As always: In plain English.

AI is all the rage right now, and this time around, things are a little different. We have played around a good amount with the latest technologies and “impressed” isn’t even a good word to use: our jaw has dropped to the ground many times.

So, let’s enjoy this multi-episode special and start today by explaining what it does.

Imagine a librarian with access to the internet: But she is also the smartest person on earth, with a photographic memory. She reads everything there is, with no exception, and can recite any facts you ask her. She was even banned from Jeopardy because she couldn’t lose.

That basically describes Google, a company that has mapped the world’s digital data and makes it accessible via search.

There is one problem though: It can’t think. And so one article contradicting another one online doesn’t raise an eyebrow - they just both show up.

AIs have gotten increasingly better at closing that gap. The most popular one, ChatGPT, can actually make logical connections and produce its own documents from that - this is called generative AI.

The kicker - with so much information, and the insane computer power and data storage we have today, it has kind of broken free: You can ask it to program computer code for you, write essays, come up with business plans that have never existed before.

And this is probably really bad news for us - no matter what your job is, if it involves a desk, it can at least help.

But should we fear it coming for our jobs entirely? Well - that’s today’s cliffhanger! We’ll see you again tomorrow to dive into that question in the next episode of Crypto in Plain English.

And just so that you do not forget to listen to that next one - subscribe so you get the push for the next episode at 11am CET or 2am PST right to where you listen to this show.

This podcast is produced by Cryptohunt.it, the easiest place to learn all about Web3.

--- Send in a voice message: https://podcasters.spotify.com/pod/show/cryptohunt/message
  continue reading

373 에피소드

Artwork
icon공유
 
Manage episode 354280440 series 3330746
cryptohunt에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 cryptohunt 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

Generative AI: What is it and is it coming for your job?

Welcome to the Cryptohunt Jam, where you learn – in just a minute or two a day – what is happening in crypto and other game-changing ideas. As always: In plain English.

AI is all the rage right now, and this time around, things are a little different. We have played around a good amount with the latest technologies and “impressed” isn’t even a good word to use: our jaw has dropped to the ground many times.

So, let’s enjoy this multi-episode special and start today by explaining what it does.

Imagine a librarian with access to the internet: But she is also the smartest person on earth, with a photographic memory. She reads everything there is, with no exception, and can recite any facts you ask her. She was even banned from Jeopardy because she couldn’t lose.

That basically describes Google, a company that has mapped the world’s digital data and makes it accessible via search.

There is one problem though: It can’t think. And so one article contradicting another one online doesn’t raise an eyebrow - they just both show up.

AIs have gotten increasingly better at closing that gap. The most popular one, ChatGPT, can actually make logical connections and produce its own documents from that - this is called generative AI.

The kicker - with so much information, and the insane computer power and data storage we have today, it has kind of broken free: You can ask it to program computer code for you, write essays, come up with business plans that have never existed before.

And this is probably really bad news for us - no matter what your job is, if it involves a desk, it can at least help.

But should we fear it coming for our jobs entirely? Well - that’s today’s cliffhanger! We’ll see you again tomorrow to dive into that question in the next episode of Crypto in Plain English.

And just so that you do not forget to listen to that next one - subscribe so you get the push for the next episode at 11am CET or 2am PST right to where you listen to this show.

This podcast is produced by Cryptohunt.it, the easiest place to learn all about Web3.

--- Send in a voice message: https://podcasters.spotify.com/pod/show/cryptohunt/message
  continue reading

373 에피소드

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