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In Machines we Trust

Unveiling ChatGPT-4: The Dawn of a New Era in AI

In Machines we Trust

In Machines we Trust

Technology

00 Ratings

🗓️ 22 February 2024

⏱️ 8 minutes

🧾️ Download transcript

Summary

In this episode, we unveil ChatGPT-4 as the dawn of a new era in AI, discussing its transformative capabilities, groundbreaking innovations, and the opportunities it unlocks for revolutionizing communication, creativity, and problem-solving through AI.

Transcript

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0:00.0

Today, OpenAI announced that they are launching their new GPT4.

0:04.0

This is probably one of the most highly anticipated pieces of technology in tech.

0:09.0

So we're going to break down exactly what that means, how it works, and what it can do better than the original chat GPT.

0:15.0

So just as a quick little refresher, when chat GPT launched, originally it was gpt three um they did a slight update to do

0:23.0

gpt 3.5 some slight updates and now they have officially launched gpt 4 so in order to use it um

0:30.0

you have to be a pain premium user of chat gpt and then you can opt into it and uh it's got a lot of

0:36.8

it's got a lot of cool new features,

0:38.2

but, you know, I would say for anyone that thinks this is going to be like the next thing

0:42.4

and AI and robots are going to take over everything, as I've been saying for a while on the podcast,

0:47.6

you know, probably a few weeks ago, maybe a month ago, Sam Altman, CEO of Open AI came out and said,

0:52.3

you know, for people that think this is the case with GPT4,

0:55.0

they're just getting their hopes up and it's not as maybe crazy as some might think. So as far as

1:01.3

the breakdown really quickly of exactly what is different with this, number one, it has a lot better

1:07.8

reasoning capabilities. Number two, it can take images as inputs.

1:12.4

So you can feed it an image and say, based off this image, blah, blah, blah, blah, blah.

1:16.4

So like mixing an image in text.

1:18.9

And the third thing it can do is that they increased the text.

1:23.1

It can generate and receive.

1:24.8

And I'll explain what the difference is on that from 3,000 words to 25,000

1:28.5

words. So it could technically generate a 25,000 word article off of a single prompt or

1:35.7

piece of content essentially, right, if you prompted it the right way and did what you needed.

1:40.3

So what's interesting about the word increase there is specifically for companies and software

...

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