Claude 3.5 Deep Dive: This new AI destroys GPT

Summary

This video script showcases the capabilities of the newly released AI model, Claude 3.5 Sonet, demonstrating its proficiency in creating games, interactive infographics, presentations, and animations with minimal prompting. The model's impressive performance in coding, reasoning, and knowledge benchmarks is highlighted, outperforming previous models including GPT 40. Viewers are encouraged to explore the model's potential for creative and professional tasks, with a focus on its ease of use and efficiency.

Takeaways

• 😲 Claude 3.5 Sonet is a new AI model released by Anthropic that has impressed users with its capabilities, outperforming previous models including GPT-40.
• 🎮 The model can create fully functional games like Snake and Tetris in Python with minimal prompting, showcasing its strong coding proficiency.
• 📊 It can transform dull financial reports into interactive infographics, making complex data more accessible and visually engaging.
• 🎵 Claude 3.5 can generate audio visualizers that sync with uploaded audio files, offering a dynamic and customizable user experience.
• 🌐 The AI can recreate website UI designs into front-end code from screenshots, demonstrating its ability to understand and replicate visual elements.
• 📈 It can create presentations and infographics with animations and interactive elements, streamlining the process of report generation.
• 🤖 Claude 3.5 has a user-friendly interface that allows for iterative code development within the chat window, enhancing convenience.
• 🏆 The model has set new industry benchmarks in reasoning, knowledge, and coding proficiency, according to livebench leaderboard.
• 📈 It operates at twice the speed of Claude 3 Opus, the previous top model, while being more cost-effective, making it ideal for complex tasks.
• 🔍 Improvements in Claude 3.5 are attributed to innovations in training, including feedback to enhance logical reasoning and the use of AI-generated data.
• 🚀 The release of Claude 3.5 Sonet indicates ongoing progress in AI, with more advanced models like 3.5 Haiku and 3.5 Opus expected later this year.

Q & A

What is the name of the AI model discussed in the video script?

The AI model discussed in the video script is Claude 3.5 Sonet.

What are some of the capabilities of Claude 3.5 Sonet as mentioned in the script?

Claude 3.5 Sonet can create 3D first-person shooters, interactive particle clouds, audio visualizers, and interactive infographics from financial reports, among other things.

How does the user interface of Claude 3.5 Sonet enhance the coding experience according to the script?

The user interface of Claude 3.5 Sonet allows users to see the code side by side with their prompts and explanations, enabling them to iterate on their code in the same window before finalizing it, which streamlines the process and makes it more convenient.

What is the significance of the 'artifacts' feature in Claude 3.5 Sonet?

The 'artifacts' feature in Claude 3.5 Sonet allows it to generate presentations, designs, tables, and code in a separate window alongside the chat, which is crucial for creating more complex outputs like games or presentations.

How does Claude 3.5 Sonet handle creating a snake game in Python?

Claude 3.5 Sonet can create a fully functional snake game in Python with a single prompt, including features like growing the snake when it eats food and ending the game when the snake hits a wall or itself.

What is the process of adding a scoreboard to the snake game created by Claude 3.5 Sonet?

To add a scoreboard to the snake game, the user simply prompts Claude 3.5 Sonet with a request to add a scoreboard, and it generates the necessary code to include this feature without breaking the existing game functionality.

How does Claude 3.5 Sonet compare to other AI models in terms of creating a Tetris game?

Claude 3.5 Sonet can create a fully functional Tetris game with just two prompts, which is an impressive feat that other AI models, including GPT 4 and Llama 3, struggle to match.

What are some of the benchmarks where Claude 3.5 Sonet outperforms GPT 40 according to the script?

Claude 3.5 Sonet outperforms GPT 40 in benchmarks such as graduate level reasoning, undergraduate level knowledge, coding proficiency, and multilingual math, except for undergraduate level knowledge in zero-shot scenarios.

What is the Livebench leaderboard and how does Claude 3.5 Sonet perform on it?

The Livebench leaderboard is a contamination-free benchmark that measures AI model performance across various metrics. Claude 3.5 Sonet significantly outperforms GPT 40 on this leaderboard, especially in reasoning and coding.

What is the significance of Claude 3.5 Sonet's closed-source nature and the insights provided by the team about its architecture?

Claude 3.5 Sonet's closed-source nature means the exact architecture is not publicly known. However, the team has revealed that its competence comes from innovations in training, including feedback designed to improve logical reasoning skills, and the use of AI-generated data, which suggests a focus on high-quality data and architectural tweaks for improved performance.

What are some of the future plans for the Claude 3.5 model family mentioned in the script?

The future plans for the Claude 3.5 model family include the release of 3.5 Haiku, the smaller model, and 3.5 Opus, the bigger model, later in the year, promising even more advanced capabilities.

Outlines

00:00

😲 Impressive AI Capabilities of Claude 3.5 Sonet

The speaker expresses amazement at the capabilities of the newly released AI model, Claude 3.5 Sonet, highlighting its ability to create a 3D first-person shooter, interactive particle cloud, and audio visualizer with minimal prompts. They also demonstrate converting a financial report into an interactive infographic and recreating a website design using code. The video script details the process of testing the AI's limits and features, emphasizing the ease of use and the impressive results obtained from simple prompts.

05:01

🎮 Creating Games and Visualizers with Claude 3.5

The script describes the process of creating a functional snake game using Python with Claude 3.5, including adding features like a scoreboard without breaking the existing code. It also covers the creation of an audio visualizer that synchronizes with uploaded audio files and the customization of the visualizer's appearance and settings. The speaker is impressed with the AI's ability to generate code for these tasks with a single prompt, showcasing Claude 3.5's advanced capabilities.

10:03

🌐 Transforming UI Designs and Financial Reports

The speaker demonstrates Claude 3.5's ability to convert a screenshot of a Spotify homepage into front-end code and to create a Tetris game in Python, which initially presents an error but is successfully resolved with a follow-up prompt. They also show the creation of an interactive infographic from a financial report, highlighting the AI's capacity to extract key metrics and present them in an engaging format, significantly streamlining the process of report creation.

15:07

🤖 Advanced AI Features for Presentations and Diagrams

The script discusses Claude 3.5's ability to generate presentations, such as one on the health implications of coffee, with detailed slides and animations. It also covers the creation of an interactive animation from a neural network diagram, which includes features like data flow representation and user controls for the animation. The speaker is impressed by the ease with which Claude 3.5 can animate diagrams for educational purposes.

20:09

🚀 Claude 3.5 Sonet's Benchmarks and Comparisons

The speaker provides an overview of Claude 3.5 Sonet's performance benchmarks, comparing it favorably to previous models and to GPT 40 in various categories such as reasoning, coding proficiency, and knowledge. They discuss the model's architecture, training innovations, and the use of synthetic data to enhance its capabilities. The script also mentions upcoming releases of other models in the Claude 3.5 family and the potential for even greater intelligence.

25:09

🔧 Claude 3.5 Sonet's Impact on Creativity and Workflows

The script highlights the potential applications of Claude 3.5 Sonet in enhancing creativity and simplifying workflows, such as creating games, visualizations, and reports. The speaker encourages viewers to explore the AI's capabilities and share their creations, emphasizing the model's user-friendly interface and its ability to handle iterative coding tasks efficiently.

30:11

🌟 Wrapping Up Claude 3.5 Sonet's Introduction

In conclusion, the speaker summarizes the key points about Claude 3.5 Sonet, its impressive performance, and the excitement surrounding its release. They invite viewers to share their thoughts and projects created using the AI model and promote a website for AI tools and job opportunities in the AI field, wrapping up the video with a call to like, share, subscribe, and stay tuned for more content.

Keywords

💡3D First-Person Shooter

A 3D first-person shooter refers to a genre of video games where players experience gameplay from the perspective of the protagonist. In the video, the script mentions the creation of such a game using Claude 3.5, demonstrating the AI's capability to generate complex game code with minimal prompts, showcasing its advanced capabilities in creative and technical tasks.

💡Interactive Infographic

An interactive infographic is a digital representation of information that allows users to engage with the data, often through animations, clickable elements, or other interactive features. The script describes the AI's ability to convert a mundane financial report into an interactive infographic, emphasizing the AI's potential to enhance data presentation and improve user engagement with complex information.

💡Audio Visualizer

An audio visualizer is a software application that translates audio signals into visual representations, often synchronized with the music. The video script highlights the AI's ability to create an audio visualizer that syncs with uploaded audio, demonstrating the AI's capacity for real-time multimedia integration and creative expression.

💡Code Generation

Code generation is the process of automatically creating source code. The script discusses the AI's ability to generate code for various applications, such as games and visualizers, on demand. This showcases the AI's utility in software development, enabling rapid prototyping and creative coding tasks.

💡Artifacts

In the context of the video, artifacts refer to the separate outputs generated by the AI, such as presentations, designs, and tables. The script explains the importance of enabling artifacts in the AI platform to unlock its full range of capabilities, including the creation of complex visual and interactive content.

💡Snake Game

The snake game is a classic video game where players control a snake to eat food while avoiding obstacles and growing in length. The script describes the AI's ability to create a fully functional snake game in Python from a single prompt, illustrating the AI's capacity for zero-shot learning and its potential to revolutionize game development.

💡Tetris Game

Tetris is a popular puzzle game where players must arrange falling blocks to create complete lines. The video script details the AI's attempt to generate a Tetris game, highlighting its problem-solving capabilities and its ability to handle more complex game logic compared to simpler games like Snake.

💡Presentation

A presentation typically refers to a visual display of information, often used in educational or business settings. The script mentions the AI's capability to create a presentation on the health implications of coffee with a single prompt, showcasing the AI's potential to streamline the content creation process for various purposes.

💡Neural Network

A neural network is a series of algorithms modeled loosely after the human brain that are designed to recognize patterns. The video script discusses creating a diagram of a neural network and then animating it, demonstrating the AI's understanding of complex data structures and its ability to generate educational content.

💡3D Particle Cloud

A 3D particle cloud refers to a visual simulation of numerous particles moving and interacting within a three-dimensional space. The script describes the AI's ability to generate code for an interactive 3D particle cloud, indicating the AI's capacity for creating dynamic and visually engaging simulations.

💡Claude 3.5 Sonet

Claude 3.5 Sonet is an AI model developed by Anthropic. The script positions it as a highly capable model that outperforms its predecessors and competitors in various benchmarks. It is highlighted for its speed, intelligence, and cost-effectiveness, making it suitable for complex tasks and workflows.

Highlights

Claude 3.5 Sonet's release is a significant advancement in AI, outperforming existing models including GPT-40.

The AI can create a 3D first-person shooter game, interactive particle cloud, and audio visualizer with a single prompt.

Claude 3.5 Sonet can convert a mundane financial report into an interactive infographic.

Users can recreate a website's UI design into frontend code using a screenshot and a simple prompt.

The AI successfully created a functional snake game in Python with zero-shot prompting.

Adding features like a scoreboard to the snake game can be done without breaking existing code.

Claude 3.5 Sonet can generate presentations and designs through the 'artifacts' feature.

The AI can create an audio visualizer that syncs with any uploaded audio file.

A single HTML page can be created for uploading and visualizing audio with customizable settings.

Claude 3.5 Sonet can build a Tetris game in Python with minimal prompting.

The AI can create a fully functional Tetris game with a scoreboard and different shapes in just two prompts.

Claude 3.5 Sonet can generate an interactive 3D particle cloud with user-adjustable parameters.

The AI can create an interactive animation from a neural network diagram for educational purposes.

Claude 3.5 Sonet sets new industry benchmarks for reasoning, knowledge, and coding proficiency.

The model operates at twice the speed of Claude 3 Opus while being more cost-effective.

Claude 3.5 Sonet's improvements are attributed to innovations in training and architectural tweaks.

The AI model uses synthetic data and architectural innovations to enhance its intelligence.

Claude 3.5 Sonet is available for free on the cloud and iOS app with higher rate limits for subscribers.

The model's performance has been positively received, especially for coding and reasoning tasks.

Claude 3.5 Sonet is expected to be followed by the release of the smaller 3.5 Haiku and larger 3.5 Opus models.

Transcripts

all right can it create a 3D firstperson

shooter oh my

God can it create a 3D interactive

particle

Cloud oh my

God all right can it convert this very

boring financial report into an

interactive

infographic oh my

God can it create an audio visualizer

that would sync with any audio that I

upload holy smokes this is just

insane all right I'm going to take a

screenshot of a website just plug it

into here and I'm going to get it to

recreate this using

Code okay I'm just mind blown again this

is

crazy so a few days ago clae 3.5 Sonet

was released and this is by far the best

AI model out there it just blows all the

existing models including GPT 40 out of

the water now instead of posting a video

right away I actually spent the past few

days testing it out to see what cool and

creative things you can do with it and

also test out its limits so that's

exactly what I'm going to share with you

today now we'll go over the specs in a

second but let's just jump right in so I

can show you the cool things that it can

do so all you got to do is go to cloud.

which I'll link to in the description

below below and then sign up for a free

account once you sign up you're going to

see this artifacts window it's really

important to click into it and enable

artifacts this basically allows Claude

to generate presentations and designs

and tables and code in a separate window

alongside your chat so once you have

this on we can start a new chat now you

can do regular things with this chatbot

like you would chat GPT for example get

it to summarize things paraphrase things

things ask it questions ask it to write

an essay ask it to translate stuff you

know normal stuff but it can do a lot

more than that so let's start off by

getting it to create a snake game so I'm

going to Simply prompt it with create a

snake game using Python and this is a

really simple prompt none of the other

AI models out there could create a fully

functional snake game that works in the

first try except for GPT 40 and llama

free to some extent but even those two

are not great all right so let's see if

this actually works down here in this

bottom right corner I can just copy the

entire code and then in vs code I'm

going to create a new file and just call

it game. py and then I'm going to paste

in the code here and then click run all

right so the game is running now I'm

going to use my arrow keys to move the

snake as you can see here and when I eat

the food I do get longer so that works

very nice now let's see what happens if

I hit the wall that's exactly what it

should do so if I hit a wall I lose the

game Let's press C to play again now I'm

going to eat enough food to get really

long and then I'm going to try to hit

myself and see if I lose the

game note that most of the other AI chat

Bots except for I think GPT 40 and llama

3 are able to understand that if I hit

myself I should

lose all right so you can see if I touch

myself I also lose the game and this is

exactly what should happen so I'm really

impressed it built a perfectly

functional snake game zero shot which

means I only prompted it once I didn't

need to follow up with anything and it

was able to successfully create the

snake game in Python but you can do much

more than that and here's the beauty of

Claude 3.5 you can atively add more

features to your game and it wouldn't

break your existing code so for example

let's say add a scoreboard to the game

again really simple it's just a really

simple prompt I didn't even say add a

scoreboard so it adds one every time I

eat the food I'm just assuming it's

smart enough to understand this so here

it's explaining all the additions but

I'm just going to like copy the entire

code and then going back to vs code I'm

going to select all delete my existing

code and then just paste in the new code

here and then I'm going to click run and

voila here we have a scoreboard and

let's see if I eat the food wow I get 10

points 20 points oh this one is

challenging

a perfect so you can keep adding more

and more features to your game and

Claude can add these to your code

without breaking your existing code so

I'm going to quit this game first let's

try something even more challenging so

I'm going to search for audio visualizer

in Google Images and pick one that I

like so I like the look of this one I'm

going to take a screenshot of

that and then paste it into Cloud 3.5

and then I'm going to write create a

single HTML page that lets me upload an

audio file and then sync that audio with

a visualizer like the attached image

don't use unsupported libraries this is

to make sure that it works natively in

artifacts all right so let's see what we

get everything looks good so

far all right so we got this upload

button I'm going to upload this song

that I created using another AI tool

called udio check out this video if you

want to learn how I made this song

[Applause]

feel the light you know you're like like

this oh

[Music]

baby and you can see this is indeed an

audio visualizer that matches my upload

image this is really impressive now we

could decrease the sensitivity so that

the lines don't exceed the edges of the

frame but I mean this is already very

impressive that it's able to build this

with just one prompt all right so let's

say I don't like the look of this

circular visualizer so I'm going to

Google another visualizer which I like

the look of and I like this one so I'm

going to take a screenshot of this

and then paste it in

here and then I'm going to write make

the visualizer look like this

instead just a really simple prompt and

let's see what it can

do all right so our code is ready I'm

going to upload the same song

[Music]

baby feel the light you look like you

like

[Music]

this and here we have a visualizer this

doesn't look exactly like the image I

uploaded but but the shape and colors do

match to some extent very nice so next

I'm going to write add settings to

customize the sensitivity and the colors

of the

visualizer and then you can see it's

running its magic now and this is really

fast compared to other tools including

chat

GPT all right so now that it's finished

running the code you can see not only

can I upload my audio file there's also

a sensitivity knob there's also so a

start color and end color so I'm going

to upload the same song and then I'm

going to adjust the sensitivity I'm

going to adjust the start color and the

end

color

baby feel the light you know you like it

like

this oh

baby

night and there you have it I am just so

impressed by this I've probably used the

word impressed many times in this video

already but I mean that's exactly what I

feel right now now let's try something

even crazier so I am on the homepage of

Spotify let's take a screenshot of this

and then going back to Cloud 3.5 I'm

going to paste in the screenshot here

and then I'm going to write convert this

UI design into frontend code really

simple prompt let's see if it can pull

this

off oh my gosh and here we go isn't that

crazy so yes it doesn't pull the exact

images of the artist or the Spotify logo

from this you have to add it in yourself

but I mean just within seconds you can

duplicate this wireframe from Spotify

already isn't that crazy now this is

only front-end code of course there's a

lot more to a website such as linking

the data from the back end to the front

end but I mean just the fact that it's

able to recreate this page just from a

screenshot within a few seconds and then

just from one prompt without refining it

any further this is just mind-blowing

now let's try something even crazier I'm

going to prompt it create Tetris game

using python now again Tetris is a lot

trickier than a snake game so if it's

able to pull this off zero shot which

means I don't need to prompt it further

it can just create a fully functional

Tetris game in one go I would be very

very impressed all right so it says use

the arrow keys left right down arrows to

move the pieces and then the up arrow is

to rotate the piece the game ends when a

new piece can't be placed at the top of

the grid all right I'm so excited to try

this out so again I'm going to copy the

entire code and then nvs code delete

everything that's here and then paste

this Tetris code in and then click run

oh now I am hitting an error this is

quite a complicated game so it could not

get this in one shot I'm just going to

copy this entire error message and then

paste it back in here and then see if it

works again with this tool you don't

really need to learn how to code like

you don't need to understand what on

Earth is going on here with AI all you

need to do is if you hit an error

message just paste it into the chat bot

rinse and repeat and eventually you're

going to get this game to work so I'm

going to copy the contents and then

paste it in here again click save and

then I will click run and wow this time

it

works wow this is really good and I hate

these shapes and oh my gosh this really

is

Tetris now as you can see I suck at

Tetris so let me try to form a full line

and see if the line disappears oh I hate

these shapes I really hate these

shapes why did I do that oh my

goodness all right I'm going to form a

new line and let's see if it

disappears and yes it does wow this is

so cool all right so I'm going to try

and lose the game

now so if I hit the

top wow perfect that is so cool so with

just two prompts I was able to build a

fully functional Tetris game right with

all these different shapes and colors

with a scoreboard and it's able to

generate this perfectly none of the

other AI models including GPT 4

including llama 3 could create a fully

functional Tetris game with just two

prompts this is just is truly impressive

and Tetris isn't the only type of game

that Claude 3.5 could create so this

user created an entire 3D firstperson

shooter similar to the game Doom in just

three prompts and it comes with a

complete generated map and sound effects

and zombies that come after you how

insane is that this is like so

impressive and definitely no other AI

model can create such a game in just

three prompts and and imagine if you

keep reiterating if you keep prompting

it further to add new features What type

of game you could create in the end this

honestly unleashes so much creativity

but that's not all it can do here is

something even cooler you can create

entire presentations all within this

chatbot so for example let's write

create a JS presentation on the health

implications of coffee let's see if we

can do

this wow look at that isn't this insane

it created this entire presentation with

just one prompt so let's see what it

wrote Health implications of coffee

coffee is one of the most popular

beverages worldwide all right so slide

two slide three four etc etc now of

course you can style this up so for

example use chill aesthetic colors add

images

and charts where appropriate and let's

see if this works all right so it's

adding a lot more detail now very nice

so here you can see it's just using a

placeholder I can go in and add some

images of coffee afterwards but wow look

at that so let me go back to the

previous slide note that when I go to

the slide with the table it even

animates the bars holy smokes this is

just so impressive so you know forget

having to manually set animations in

Microsoft PowerPoint when you can do

this I mean how cool is

that wow I'm just really impressed by

this so I mean if you're a student or if

you're at work and you need to create a

presentation all you got to do is you

know upload a document here with all the

info you need in the presentation and

then prompt it to create a full

presentation for you it's as simple as

that so let's say you want to create an

infog graic reports so I'm taking the

10q report from Tesla this is basically

their financial report for the first

quarter of 2024 so it's very boring it

looks like this I'm going to save this

as a PDF and then back in Claude I'm

going to upload the PDF here and then

I'm going to say create an interactive

to page infographic on the attached

document let's see if we can do this

all right so it's setting up the code

now holy smokes that is crazy it even

comes with symbols it gives you the key

performance metrics these charts are

interactive let me scroll down a bit

that is just crazy and I mean it took

all this info from this boring document

right it's able to you know tease apart

all these numbers and just give you the

key metric let's check out page two and

then here it lists the key highlights

and Outlook so I am just absolutely mind

blown by this how impressive this is I

mean if your job is to create these

reports or presentations think of how

easy this is going to make your life

before you probably need to spend at

least an hour compiling this report and

then designing the PDF or the

presentation but with this you can just

plug in a document and it would spit out

a fully designed report for you in a

matter of seconds all right let's try

something else so I've used this tool to

create a diagram of a neural network now

let's say I want to use this for an

animation for an educational video well

all I have to do is take a screenshot of

this and then going back to Cloud I will

paste the screenshot into here I'm just

pressing crl +v and then here's another

trick instead of me thinking of what

prompt to type I'm going to ask Claude

3.5 what prompt should I write to get

yourself to generate an animation of

this diagram now to save some credits I

don't want to ask this directly in clae

AI so I'm using another tool called po

which also has Claude

3.5 however Po's version does not have

this artifact window which previews the

code that it generates and so that's why

I use pose Cloud 3.5 just for text

prompts but it's essentially the same

thing it's also using Cloud 3.5 so in po

I'm simply asking it to give me a prompt

to create an interactive animation from

the attached neural network diagram to

use with Claude 3.5 and artifacts and

then it's suggested that I use this

prompt so I am just going to copy the

whole thing and then going back to Cloud

I'm going to paste it in here so the

prompt is using the neural network

diagram I've shared as a reference

please create an interactive HTML JS

animation that demonstrates the flow of

data through this network it should

include a visual representation of the

network structure matching the layout in

the image animated paths showing data

flowing from the input layer through the

hidden layers to the output layer the

ability to input sample data into the

five input nodes I'm not sure what this

would do but let's just leave it and

then visual feedback showing how the

activation of nodes changes based on the

input and then a simple UI to control

the animation speed and reset this

simulation all right so let's click

enter and see what it gives

us there's a lot of code that it's

generating so this seems like quite a

complex animation wow this is crazy all

right so let's see how we use this let

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the description below now back to the

video this network structure matches the

layout in the image with four layers

first layer has six nodes next it has

eight nodes in each hidden layer and

then four output nodes and that's

exactly what we have so there's six

nodes here eight nodes in each hidden

layer and then four nodes in the output

layer and that's exactly the node count

of my original image and then animated

data flow particles represent data

flowing through the network so actually

let me press start and see what that

does whoa all right so particles

represent data flowing through the

network moving from the input layer

through the hidden layers to the output

layer it seems to be stuck in the first

hidden layer let me try again all right

it seems to be stuck there but anyways

let's continue input simulation the

animation automatically generates random

input data for the five input nodes in a

more advanced version you could add

input fields for user defined data all

right very cool well it seems like the

particles are stuck at the first hidden

layer so let me just type this and see

if it can fix it so the particles are

stuck at the first hidden layer

all right so let's see if it can fix

it all right so let's click Start whoa

that is crazy and note that the numbers

in these nodes update as well that's

just crazy and if we adjust the

speed oh my God I am just so impressed

by this you can see how easy it is to

take any diagram and animate it to for

example make an educational video this

is just so impressive to me and then if

I adjust the speed to be faster you can

see now it it goes really fast and then

if I press stop it stops if I press

reset then the numberers reset to zero

and if I press start again then the data

flows through this neur network again

this is just so impressive honestly all

right let's make something even crazier

so I'm going to write create an app in

one HTML page that can be used in

artifacts make an an interactive 3D

particle cloud with a maximum of 100

particles and then to make sure it works

in artifacts I'm going to write use

three.js for the simulation this is a

JavaScript library that renders 3D

objects for the web and then just to

make sure it works in artifacts I'm

going to write do not use unsupported or

thirdparty libraries or fun functions

create your own functions because I want

this page to be Standalone I just want

it to work off the bat without pulling

from any other dependencies or apis so

let's click generate and see if it can

do

that whoa and here we go let's see what

we can do so users can resize the

browser to see the particle Cloud adapts

to different screen sizes observe the

particles movements and interactions

within the 3D space so if I click into

this does it do anything no it does not

all right so if you'd like to modify or

enhance this particle Cloud here are

some ideas add color variations to the

particles Implement uses controls to

adjust the particle speed or count add

Mouse interaction to affect particle

movement um yeah let's let's paste this

in so I'm just going to copy these three

points and then paste this in here uh

let's see what else we can do add Mouse

interaction to affect Park movement um

and and camera movement let's see if it

can do that all right let's click

generate and see if it can pull this off

by the way already super impressive that

it can create this floating particle

cloud with just one

prompt holy smokes and it does exactly

that so here we change the particles

into different sizes let's try to

increase the particle

count and yes as I as I drag it lower

you can see the particles decrease in

number as I drag it to like 200 you can

see we get a lot more particles and then

particle

speed this is crazy so you can see as I

increase the speed these particles move

a lot faster and they bounce off this

virtual wall and the movements look very

smooth and then if I decrease the speed

you can see the particles move a lot

slower and then look at this mouse

movement movement now affects both

particle movement and Camera position

the camera smoothly follows the mouth

cursor creating a parallax effect so yes

it does you can see as I move the cursor

the particles in the cloud also follow

my cursor to some extent that is just so

cool I hope you're seeing what I'm

seeing here it's a very subtle movement

and of course you can add in an

additional prompt to make this more

sensitive but that is just so cool and

by the way you can always revert back to

a previous version so down here you see

version two of two if you click here

this goes back to version one and then

here you can copy the code of version

one and do whatever you want with it and

then if you go back here here's version

two here's the code of version two

here's the preview of version two and

you know this artifacts window this is

not really AI this is just a built-in

code visualizer but I really love this

interface and you know the problem I've

experienced with using other chat Bots

like GPT or PO is that whenever I create

some code I just need to copy the whole

thing and then paste it in vs code and

then go back to the chatbot and then

refine it further and then copy that new

code and then paste it back in vs code

and then rinse and repeat and it's just

not very convenient but here they really

streamlined it where you can see the

code side by side with your prompt and

with its explanation and then you can

iterate on your code in this same window

before finally pasting the final code

which you're satisfied with to your

project which lives somewhere else so I

really like how they designed this user

interface it just makes things very

convenient all right so let's go over

the specs of Claude 3.5 so here they say

we are launching Claude 3.5 Sonet our

first release in the forthcoming Claude

3.5 model family 3.5 Sonet is now

available for free on cloud. and IOS app

while subscribers can access it with

significantly higher rate limits so

they're kind of doing the same thing as

open AI which also offers their most

Cutting Edge model GPT 40 for free to

all users but the free plan has limits

and if you want to use it more then you

need to subscribe so this is also

available via anthropic API Amazon

bedrock and Google Cloud's vertex Ai and

it has a 200k token context window which

is more than enough for most tasks all

right so here why access is intelligence

and we'll go over the specific benchmark

scores of Claude 3.5 in a second but

note that this version that they just

released is the sonnet version and if

you refer to the previous generation

Claude three they actually have three

different versions the smallest one and

the fastest one is ha cou so Hau has

fewer parameters and therefore it runs

faster but as a result it's less

intelligent and then the mid tier model

is Sonet so Sonet has slightly higher

intelligence than Hau because it has

more parameters but at the same time

it's going to cost more and it's going

to infer a tad bit slower and then their

biggest model and this was previously

the leading model for anthropic this is

Claude 3 Opus this has the highest

parameter count and is the most

intelligent out of all the models but of

course it costs more to run this model

now the crazy thing is is this new

generation 3.5 Sonet which is just the

mid-tier model in this family has

already significantly outperformed the

highest tier model clae 3 Opus they

haven't even released clae 3.5 Opus yet

so once that is released it's going to

be way more intelligent than the sonnet

version that we're seeing right now so

this is just insane progress you can see

this new generation 3.5 not only is it

way smarter than the higher tier model

of the previous generation but it's also

a lot cheaper than Cloud 3 Opus here it

says Cloud 3.5 Sonet sets new industry

benchmarks for graduate level reasoning

undergraduate level knowledge and coding

proficiency and we've definitely seen

that it can indeed code very well it

operates at twice the speed of Claude 3

Opus again this is the best model of the

previous generation so this performance

boost combined with cost-effective

pricing makes Claude 3.5 Sonet ideal for

complex tasks such as customer support

and orchestrating multi-step workflows

and that is indeed what we've seen so as

we code up a project it's able to take

our feedback and iteratively add new

features to the project without breaking

it so this is an example of a multi-step

workflow so let's jump in and see the

benchmarks so across all of these

benchmarks it just destroys Claud

through Opus and across most of them it

also beat GPT 40 except for

undergraduate level knowledge in which

case for zero shot that means you only

prompt it once GPT 40 is a tad bit

better but then for coding Cloud 3.5 is

better same with multilingual math same

with reasoning over text and then

interestingly for math problem solving

GPT 40 still beats Claude 3.5 Sonic and

we have seen GPT 40 solving a math

Olympics problem so it is indeed very

good at math problem solving and then

there are a few other benchmarks here

basically the takeaway message is that

for most of these benchmarks Claude 3.5

Sonet beats not only the biggest model

of the previous generation of CLA but it

also beats GPT 40 which was the leading

AI model so if you go to LM CIS this is

basically the rankings of all the major

AI models based on user blind tests and

you can see GPT 40 is or was number one

now notice that Claude 3.5 isn't on here

yet and that's why gbt 40 is still

number one in this table I'm actually

not sure why Cloud 3.5 hasn't been added

here yet if you know why please let me

know in the comments below however if

you go to yet another leaderboard which

is called livebench which the authors

claim to be a contamination free

benchmark and this is because some of

the AI models might be trained on very

similar problems to Benchmark questions

and if that's the case well then these

models would be very biased in solving

those particular problems and therefore

get a high score across these benchmarks

but for live bench they claim that this

Benchmark does not face this issue and

then if you scroll down to the

leaderboard note that Claude 3.5 Sonet

basically destroys GPT 4 o across all

these metrics including reasoning coding

mathematics data analysis etc etc and

some of these are huge leaps so for

example for reasoning GPT 40 only got 48

and surprisingly GPT 4 Turbo is actually

slightly better at reasoning with a

score of 55 but still CLA 3.5 son it

just blows it out of the water with a

score of 70 same with coding this is by

far the best model for coding at least

according to this live bench benchmark

so previously these GPT 4 models are

only hovering at around 46 47 but Claude

3.5 Sonet is just way better with a

score of 63 and that seems to be the

sentiment of people who've used it so

far everyone's reactions have been quite

positive most people have been saying

how CLA 3.5 son it is noticeably better

especially for coding and reasoning

compared to gbt 40 now CLA 3.5 is a

closed Source model so we don't don't

really know what the architecture is but

the team has revealed some insights on

the model so for example this person who

is head of product at anthropics says

3.5 Sonet is larger than its predecessor

but draws much of its new competence

from Innovations in training for example

the model was given feedback designed to

improve its logical reasoning skills

very interesting and then in another

article the same guy says that the

improvements are the result of

architectural tweaks and new training

data including AI generated data which

data specifically he would not disclose

but he implied that Claude 3.5 Sonic

draws much of its strength from these

training data sets and this is a

recurring Trend that we're seeing in the

latest AI models now it's a known fact

that the more data you have the better

the model will be this is due to

something called scaling laws but the

problem is even like older generations

of AI models we've pretty much train

them on all of the data from the

internet already and that data is not

enough we need more and more data to

make the AI model more intelligent

everything else being equal so how do we

get this new data well it turns out that

you can actually get AI to generate

synthetic data and as long as that data

is clean and high quality you can append

this data to the training set to create

a more intelligent AI model and he also

implied that not only did they use syn

thetic data but they also made some

architectural tweaks now if I were to

guess there's probably like something

agentic going on maybe mixture of Agents

or something but we don't know the full

details and then finally they say that

they will release 3.5 Haiku which is the

smaller model and 3.5 Opus which is the

bigger model later this year so really

exciting times I mean just from the

performance of 3.5 Sonic it's clear that

we aren't even close to hitting a

plateau with these llms we're not seeing

diminishing returns each newer

generation just gets smarter and smarter

and so this is really exciting and there

are so many cool things you can do with

3.5 such as creating games creating

visualizations creating reports and

presentations the sky the limit so

definitely take advantage of this and

play around with it it's totally free to

do so so that sums up this new AI model

Claude 3.5 Sonet let me know in the the

comments what you think of it and if

you've had a chance to play around with

it and have created some cool projects

also welcome to share this in the

comments below I'd love to learn what

you built with it as always if you

enjoyed this video remember to like

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search. thanks for watching and I'll see

you in the next one