GPT-4o - Full Breakdown + Bonus Details

Summary

The transcript discusses the latest advancements in AI with the release of GPT-4 Omni, which is poised to rival Google's AI capabilities. GPT-4 Omni showcases improvements in multimodal input and output, coding, and latency reduction, offering a more human-like interaction. The model has demonstrated remarkable text and image generation accuracy, the ability to design movie posters from textual descriptions, and even mimic customer service interactions. It also excels in math benchmarks and shows potential as a real-time translation tool. Despite some glitches and mixed results in reasoning benchmarks, GPT-4 Omni is expected to significantly expand AI accessibility and popularity, especially with its free and multimodal features.

Takeaways

• 🚀 **GPT-4 Omni**: The new model is designed to handle multiple modalities (text, image, etc.), indicating a step towards more universal capabilities.
• 📈 **Scaling Up**: OpenAI is preparing to scale from 100 million to hundreds of millions of users, hinting at an even smarter model in the pipeline.
• 📊 **Benchmarks**: GPT-4 has shown significant improvements in benchmarks, particularly in coding and mathematics, compared to its predecessors.
• 🎨 **Creative Tasks**: The model can generate high-accuracy text from images and create movie posters from textual descriptions, showcasing its creative abilities.
• 📱 **Desktop App**: A live coding co-pilot desktop app is introduced, allowing for real-time code analysis and suggestions, enhancing developer productivity.
• 📉 **Pricing**: GPT-4 is competitively priced at $5 for 1 million input tokens and $15 for 1 million output tokens, making it more accessible.
• 🌐 **Multilingual Support**: The model shows improved performance across languages, though English remains its strongest suit.
• 📹 **Video Input**: GPT-4 can process live video streams, a significant leap towards more interactive and engaging AI applications.
• 🗣️ **Real-Time Interaction**: The model is capable of real-time responses, with the ability to adjust its speed according to user preference.
• 🤖 **AI Assistants**: Demonstrations included an AI calling customer service, indicating potential future uses in automated assistance and support.
• ⏱️ **Latency Reduction**: Reducing latency is a key innovation in GPT-4, making interactions feel more realistic and akin to human-level response times.

Q & A

What does the term 'Omni' in GPT-4 Omni signify?

The term 'Omni' in GPT-4 Omni signifies 'all' or 'everywhere,' referencing the different modalities the model is capable of handling, such as text, image, and potentially video.

What is the significance of OpenAI's decision to increase message limits for paid users?

The increase in message limits for paid users suggests that OpenAI is either scaling up their user base from 100 million to hundreds of millions of users or they are preparing to release an even smarter model in the near future.

How does GPT-4 Omni's text and image generation accuracy compare to previous models?

GPT-4 Omni demonstrates significantly higher accuracy in text and image generation compared to previous models, with the script mentioning that it has never seen text generated with such precision.

What is the 'reverse psychology' approach demonstrated in the movie poster design example?

The 'reverse psychology' approach involves asking GPT-4 Omni to improve an already generated output by specifying desired improvements, such as crisper text and bolder, more dramatic colors, which results in an enhanced final product.

When is the new functionality of GPT-4 Omni expected to be released?

OpenAI has indicated that the new functionality of GPT-4 Omni, including text and image generation capabilities, will be released in the next few weeks.

What is the significance of the AI-to-AI customer service interaction demonstration?

The AI-to-AI customer service interaction demonstrates a 'proof of concept' for future AI agents that can autonomously handle tasks such as sending emails and checking for their receipt, showcasing the potential for advanced AI automation.

What are some of the additional features that GPT-4 Omni can perform?

GPT-4 Omni can perform a variety of tasks such as creating caricatures from photos, generating new font styles from text descriptions, transcribing meetings, summarizing videos, and maintaining character consistency in generated content.

How does GPT-4 Omni's performance on benchmarks compare to other models like Claude 3 and Llama 3400b?

GPT-4 Omni shows a significant improvement over the original GPT-4 and outperforms Claude 3 on the Google proof graduate test. However, it slightly underperforms Llama 3400b on the DROP benchmark, which focuses on adversarial reading comprehension.

What is the pricing model for GPT-4 Omni?

GPT-4 Omni is priced at $5 per 1 million tokens for input and $15 per 1 million tokens for output. It is also available for free, which contrasts with Claude 3 Opus's pricing and subscription model.

How does GPT-4 Omni's multilingual performance compare to the original GPT-4?

GPT-4 Omni shows a step up in multilingual performance across languages compared to the original GPT-4, although English remains the most suited language for the model.

What are some of the potential applications of GPT-4 Omni's video input functionality?

The video input functionality of GPT-4 Omni can be used for real-time translation, live-streaming video to the Transformer architecture for analysis, and potentially revolutionizing accessibility for non-English speakers.

Outlines

00:00

🚀 Introduction to GPT-4 Omni's Advancements

The first paragraph introduces GPT-4 Omni, highlighting its multimodal capabilities and potential to overshadow Google. It discusses the model's performance in benchmarks, its flirtatious nature, and the hint of an even smarter model to come. The paragraph also touches on OpenAI's scaling plans, the increased message limits for paid users, and the impressive text and image generation accuracy of GPT-4 Omni. It mentions upcoming releases and a demo showcasing the model's conversational abilities with AI customer service.

05:01

📈 GPT-4 Omni's Performance and Pricing

The second paragraph delves into GPT-4 Omni's performance on various benchmarks, particularly in math and the Google Proof Graduate test. It compares the model's pricing to that of Claude 3 Opus and emphasizes GPT-4 Omni's free access. The paragraph also discusses the model's mixed results on the DROP benchmark and its improvements in translation and vision understanding. It mentions the tokenizer's potential impact on non-English languages and the model's multilingual capabilities.

10:03

🎭 Real-time Interactions and Latency Reduction

The third paragraph focuses on the real-time interaction capabilities of GPT-4 Omni, including its ability to adjust response times and engage directly with the camera. It discusses the model's flirtatious design and the importance of latency reduction for realism. The paragraph includes a variety of demos, such as real-time translation, mathematics tutoring, and harmonizing voices, showcasing the model's versatility. It also mentions the potential for video input functionality and the model's slight glitches during demos.

15:04

🌐 GPT-4 Omni's Accessibility and Future Prospects

The final paragraph emphasizes GPT-4 Omni's accessibility, being free and multimodal, and predicts its massive popularity. It discusses the model's potential to bring AI to hundreds of millions more people and compares its impact to that of the previous GPT models. The paragraph also mentions the possibility of real-time translation and hints at future updates from OpenAI. It concludes with an invitation to join AI insiders on Discord for further analysis and discussion.

Keywords

💡GPT-4 Omni

GPT-4 Omni refers to the next generation AI model developed by OpenAI, which is described as being smarter, faster, and better at coding. It signifies an advancement in AI technology, capable of handling multiple modalities (text, image, etc.). In the video, it is portrayed as a significant step towards artificial general intelligence (AGI), with the 'Omni' part of the name indicating its versatility across different tasks and modalities.

💡Benchmarks

Benchmarks are standardized tests or criteria used to evaluate the performance of systems, in this case, AI models. The video discusses how GPT-4 Omni has undergone various benchmarks, demonstrating its capabilities in different areas such as coding, translation, and reasoning. The benchmarks serve as a measure of comparison against other models, highlighting GPT-4 Omni's improvements and competitive edge.

💡Multimodal

Multimodal refers to the ability of a system to process and understand multiple types of input and output, such as text, images, and possibly video. In the context of the video, GPT-4 Omni's multimodal capabilities are emphasized, showcasing its versatility in handling various forms of data and its potential applications in diverse fields.

💡AGI (Artificial General Intelligence)

AGI, or Artificial General Intelligence, is the concept of an AI system that possesses the ability to understand or learn any intellectual task that a human being can do. The video discusses GPT-4 Omni in the context of AGI, suggesting that while it is not yet at the level of AGI, it represents a notable step forward towards achieving such a level of intelligence.

💡Tokenizer

A tokenizer in the context of AI and natural language processing is a component that breaks down text into smaller units, such as words or phrases, that can be analyzed and understood by the AI model. The video mentions improvements to the tokenizer, which could be revolutionary for non-English speakers by requiring fewer tokens for languages like Gujarati, Hindi, and Arabic, making conversations cheaper and quicker.

💡Latency

Latency refers to the delay before a system responds to a command or request. In the video, it is mentioned that GPT-4 Omni has reduced latency, which is a key innovation. Lower latency makes the AI feel more realistic and responsive, akin to human-level response times, which is crucial for a more natural and engaging user experience.

💡Reasoning Benchmarks

Reasoning benchmarks are specific tests designed to evaluate an AI's ability to reason and understand complex information. The video discusses the mixed results of GPT-4 Omni on the DROP benchmark, which assesses discrete reasoning over the content of paragraphs. These benchmarks are important for understanding the limitations as well as the strengths of the AI's cognitive capabilities.

💡Translation

Translation, in the context of AI, refers to the ability of a model to convert text from one language to another accurately. The video highlights GPT-4 Omni's improvements in translation capabilities, suggesting that it is better than Gemini models, which is significant for multilingual support and global accessibility.

💡Vision Understanding Evaluations

Vision understanding evaluations are assessments that measure an AI's ability to interpret and comprehend visual data. The video mentions that GPT-4 Omni has made significant strides in this area, particularly on the MMUU benchmark, which is important for applications that involve image recognition and processing.

💡Multilingual Performance

Multilingual performance refers to how well an AI model can handle and generate content in multiple languages. The video notes that GPT-4 Omni has improved performance across languages compared to its predecessor, although English remains the most suited language for the model. This is important for global users and the model's applicability in various linguistic contexts.

💡Real-time Interaction

Real-time interaction implies the ability of an AI to engage with users instantaneously, without significant delays. The video showcases GPT-4 Omni's capacity for real-time interaction, which is demonstrated through live demonstrations of the model's responses to prompts. This feature enhances the user experience and makes the AI feel more dynamic and engaging.

Highlights

GPT-4 Omni is a notable step forward in AI, offering multimodal capabilities and improved performance in coding.

GPT-4 Omni is designed to scale from 100 million to hundreds of millions of users, hinting at an even smarter model coming soon.

OpenAI has increased message limits for paid users by five times, suggesting a significant expansion in capabilities or user base.

GPT-4 Omni demonstrated high accuracy in generating text from images, showcasing its advanced understanding and processing abilities.

The model was able to design a movie poster from textual requirements, illustrating its creativity and design skills.

GPT-4 Omni's text and photo accuracy improvements are set to be released in the coming weeks, expanding its functionality.

A demo showed GPT-4 Omni's ability to mimic human interaction by calling customer service and successfully completing a task.

GPT-4 Omni can generate caricatures from photos and create new font styles from textual descriptions, indicating its versatility.

The model transcribed a meeting with four speakers and provided a summary of a 45-minute video, demonstrating its multimodal input capabilities.

GPT-4 Omni showed character consistency in a cartoon strip, suggesting its potential for narrative and creative content generation.

In coding tasks, GPT-4 Omni outperformed all other models, indicating a significant leap in AI coding assistance.

The desktop app allows for live coding assistance, enhancing the model's utility for software development.

GPT-4 Omni's math performance has seen a stark improvement from the original GPT-4, despite some failures in complex math prompts.

The model beat Claude 3 Opus on the Google proof graduate test, a significant benchmark in the AI field.

GPT-4 Omni is priced competitively at $5 per 1 million tokens for input and $15 for output, making it accessible to a wider audience.

The model's translation capabilities are superior to Gemini models, with potential for further advancements.

GPT-4 Omni showed significant improvements in vision understanding evaluations, outperforming Claude Opus by 10 points.

The model demonstrated real-time translation capabilities, suggesting future enhancements in multilingual support.

GPT-4 Omni's video input functionality allows for live streaming to the Transformer architecture, a significant technological advancement.

The model's flirtatious nature in demos may indicate a design choice to maximize engagement, despite previous statements to the contrary.

GPT-4 Omni's latency has been reduced, leading to more realistic and human-like response times.

The model's potential impact on popularizing AI through its free and multimodal nature could bring AI to hundreds of millions more users.

Transcripts

it's smarter in most ways cheaper faster

better at coding multimodal in and out

and perfectly timed to steal the

spotlight from Google it's gp4 Omni I've

gone through all the benchmarks and the

release videos to give you the

highlights my first reaction was it's

more flirtatious sigh than AGI but a

notable step forward nonetheless first

things first GPT 40 meaning Omni which

is all or everywhere referencing the

different modalities it's got is Free by

making GPT 43 they are either crazy

committed to scaling up from 100 million

users to hundreds of millions of users

or they have an even smarter model

coming soon and they did hint at that of

course it could be both but it does have

to be something just giving paid users

five times more in terms of message

limits doesn't seem enough to me next

open AI branded this as GPT 4 level

intelligence although in a way I think

they slightly underplayed it so before

we get to the video demos some of which

you may have already seen let me get to

some more under the radar announcements

take text image and look at the accuracy

of the text generated from this prompt

now I know it's not perfect there aren't

two question marks on the now there's

others that you can spot like the I

being capitalized but overall I've never

seen text generated with that much

accuracy and it wasn't even in the demo

or take this other example where two

openai researchers submitted their

photos then they asked GPT 40 to design

a movie poster and they gave the

requirements in text now when you see

the first output you're going to say

well that isn't that good but then they

asked GPT 40 something fascinating it

seemed to be almost reverse psychology

because they said here is the same

poster but cleaned up the text is

crisper and the colors Bolder and more

dramatic the whole image is now improved

this is the input don't forget the final

result in terms of the accuracy of the

photos and of the text was really quite

impressive I can imagine millions of

children and adults playing about with

this functionality of course they can't

do so immediately because open AI said

this would be released in the next few

weeks as another bonus here is a video

that open AI didn't put on their YouTube

channel it mimics a demo that Google

made years ago but never followed up

with the openai employee asked GPT 40 to

call customer service and ask for

something I've skipped ahead and the

customer service in this case is another

AI but here is the conclusion could you

provide Joe's email address for me sure

it's Joe example.com

awesome all right I've just sent the

email can you check if Joe received it

we'll check right now please hold sure

thing Hey Joe could you please check

your email to see if the shipping label

and return instructions have arrived

fingers crossed yes I got the

instructions perfect Joe has received

the email they call it a proof of

concept but it is a hint toward the

agents that are coming here are five

more quick things that didn't make it to

the demo how about a replacement for

lensa submit your photo and get a

caricature of yourself or what about

text to new font you just ask for a new

style of font and it will generate one

or what about meeting transcription the

meeting in this case had four speakers

and it was transcribed or video

summaries remember this model is

multimodal in and out now it doesn't

have video out but I'll get to that in a

moment here though was a demonstration

of a 45-minute video submitted to GPC 40

and a summary of that video we also got

character consistency across both woman

and dog almost like an entire cartoon

strep if those were the quick bonuses

what about the actual intelligence and

performance of the model before I get to

official benchmarks here is a human

grade leaderboard pitting one model

against another and yes I'm also a good

gpt2 chatbot is indeed GPT 40 so it

turns out I've actually been testing the

model for days overall you can see the

preference for GPT 40 compared to all

other models in coding specifically the

difference is quite Stark I would say

even here though we're not looking at an

entirely new tier of intelligence

remember that a 100 ELO Gap is is a win

rate of around 2/3 so 1/3 of the time

gp4 turbos outputs would be preferred

that's about the same gap between GPT 4

Turbo and last year's GPT 4 a huge step

forward but not completely night and day

I think one underrated announcement was

the desktop app a live coding co-pilot

okay so I'm going to open the chbt

desktop app like miror was talking about

before okay and to give a bit of

background of what's going on so here we

have um a computer and on the screen we

have some code and then the chat gbt

voice app is on the right so chat gbt

will be able to hear me but it can't see

anything on the screen so I'm going to

highlight the code command C it and then

that will send it to chat GPT and then

I'm going to talk about the code to chat

GPT okay so I just shared some code with

you could you give me a really brief

one- sentence description of what's

going on in the code this code fetches

daily weather data for a specific

location and time period Smooths the

temperature data using a rolling average

and Ates a significant weather event on

the resulting plot and then displays the

plot with the average minimum and

maximum temperatures over the year I've

delayed long enough here are the

benchmarks I was most impressed with

Gypsy 40's performance on the math

benchmark even though it fails pretty

much all of my math prompts that is

still a stark improvement from the

original GPT 4 on the Google proof

graduate test it beats Claude 3 Opus and

remember that was the headline Benchmark

for anthropic in fact speaking of

anthropic they are somewhat challenged

by this release GPT 40 costs $5 per 1

million tokens input and $15 per 1

million tokens output as a quick aside

it also has 128k token context and an

October knowledge cut off but remember

the pricing 5 and 15 Claude 3 Opus is

1575 and remember for Claude 3 Opus on

the web you have to sign up with a

subscription but GPT 40 will be free so

for claw Opus to be beaten in its

headline Benchmark is a concern for them

in fact I think the results are clear

enough to say that gp40 is the new

smartest AI however just before you get

carried away and type on Twitter the AGI

is here there are some more mixed

benchmarks take the drop Benchmark I dug

into this Benchmark and it's about

adversarial reading comprehension

questions they're designed to really

test the reasoning capabilities of

models if you give models difficult

passages and they've got to sort through

references do some counting and other

operations how do they Fair the drop by

the way is discrete reasoning over the

content of paragraphs it does slightly

better than the original GPT 4 but

slightly worse than llama 3400b and as

they note llama 3400b is still training

so it's just about the new smartist

model by a hairs breath however we're

not done yet it's better at translation

than Gemini models quick caveat there

Gemini 2 might be announced tomorrow and

that could regain the lead then there

are the vision understanding evaluations

it was a real step forward on the mm muu

as you can see a clear 10 points better

than Claude Opus again I'm curious if

Google Gemini can exceed it though the

improvements to the tokenizer could be

revolutionary for non-english speakers

the dramatically fewer tokens needed for

languages like Gujarati Hindi Arabic and

more don't just mean that conversations

are cheaper they're also quicker and

what about multilingual performance well

this time they didn't compare it to

other models but compared it to the

original GPT 4 definitely a step up

across languages but English is still by

far the most suited language indeed here

is a video of some of the models

mistakes ending with some dodgy language

tuition I know enough Mandarin to say it

wasn't perfect at churing let's root

root root for the home

what was

that sorry guys I got carried

away right for

round

Francisco I have feeling I'm very wrong

hello uh my name is NCH I'm here with my

coworker hi I'm sh I'm trying to teach

my coworker how to speaking manding we

want to start from simple words like

niow can you teach him how to pronounce

that of course hey Nao nice to meet you

KNE how is pretty straightforward to

pronounce it sounds like KN how just

make sure to keep the KNE part high and

then go down and pitch on the how give

it a try me how

that was great really good first try not

you you're natural it really wasn't he

needs to work on his tones and her face

was the giveaway there were a lot of

other interesting video demonstrations

but before them the GPT 40 blog post

from Sam opman put out tonight he made

the argument that putting this capable

AI tool in the hands of everyone for

free is justifying that open part of

open AI less about open weights or open

source more about open to to everyone

without ads or anything like that he

also draws our attention to the latency

of the models in many ways that is the

key Innovation with GPT 40 by dialing

down the latency you dial up the realism

as he said it feels like AI from the

movies getting to human level response

times and expressiveness turns out to be

a big change indeed I think I should get

a little credit for predicting her like

AI in a video from a month ago but now I

want to get to those demos the response

times were amazing and the model was

clearly designed to be flirtatious note

that in Senate testimony last year

samman said we try to design systems

that do not maximize for engagement so

let me know in the comments whether you

think these demos are designed to

maximize engagement okay so this is what

I wrote down what do you

see a I see I love chat chpt that's so

sweet of

you yeah well I really appreciate all

the

help so yeah as we can see

um wow that's quite the outfit you've

got on yeah as we can see you know we

can chat in real time I was impressed

though that it could speed up its

talking on demand of course one two

three hey actually that's um that's a

little slow could you count

faster Sure Thing 1 2 3 4 5 6 7 8 9 10

okay that was a little bit too fast of

course open AI must be given credit

because for blind people this could be

revolutionary right now the Royal

Standard flag is flying above Buckingham

Palace which is the signal that the

Monarch is present how exciting to be

there while the king is home try and

tell me exactly what they're doing right

now please um right now the Ducks are

gently gliding across the water it will

also help you with interview prep by

analyzing your appearance how about you

I'm awesome list listen I got some huge

news oh do tell I'm allers well in a few

minutes I'm going to be interviewing at

open aai have you heard of them open AI

huh sounds Vaguely

Familiar kidding of course that's

incredible Rocky what kind of interview

well it's for a software engineering

role but I just need to know do I look

presentable

professional well

Rocky you definitely have the I've been

coding all night look down which could

actually work in your favor maybe just

run a hand through your hair or lean

into the Mad genis SP Your Enthusiasm is

what's really going to shine through I

don't have a lot of time so I'm just

going to throw this on what do you

think oh Rocky that's quite a statement

piece I I mean you you'll definitely

stand out though maybe not in the way

you're hoping for an interview okay I

got it I got it I could definitely see

GPT 40 being used for mathematics

tutoring here is a 30second clip but

notice also the slight glitchiness at

certain moments relative to angle Alpha

all right so I'm pretty sure this is the

angle Alpha right here

right cor correct now looking at the

triangle which side do you think is a

hypotonus

um remember the hyot I'm not totally

sure I think I think it might be this

one but I really am not sure this side

AC you're close I also noticed quite a

few glitches in the demo sounds cutting

in and out the one feature though the

open AI wants you to really focus on is

the video in capacity you can live

stream video straight to the Transformer

architecture behind GPT 40 and so the

video in functionality is certainly

impressive note though that the reaction

time of GPC 40 isn't quite as immediate

as for audio Greg Brockman the

co-founder of open aai has to prompt it

to react to the Intruder overall stylish

feel they might be getting ready for a

conversation or a presentation given

their direct engagement with the

camera sounds like we're in for an

intriguing interaction I'm curious about

the lighting you mentioned could you

describe it a bit more is it natural

light are we talking unique fixtures or

colors that add to the

atmosphere the lighting here seems to be

a mix of natural and artificial there's

a noticeable bright light overhead

probably a fixture casting a focused

beam downwards which creates a spotlight

effect this adds a dramatic and modern

feel to the scene the rest of the room

is lit more softly possibly by natural

light filtering anything did anything

unusual happen

recently Yes actually uh just as you

asked another person came into view

behind the first person they playfully

made bunny ears behind the first

person's head and then quickly left the

frame it added a light-hearted and

unexpected moment to the scene now the

focus is back on the original person

with the leather jacket nevertheless gbt

40 can produce multiple voices that can

sing almost in harmony

and really try to harmonize

here San Francisco San Francisco in the

month of May but maybe make it more

dramatic and make the soprano

higher San Francisco in the month of May

San franisco in the month of May it's a

Friday C may we are harmonizing are

Harmon great thank you and I suspect

this real time translation could soon be

coming too Siri later for us so every

time I say something in English can you

repeat it back in Spanish and every time

he says something in Spanish can you

repeat it back in English sure I can do

that let's get this translation train

rolling um hey how's it been going have

you been up to anything interesting

recently

hey I've been good just a bit busy here

preparing for an event next week why do

I say that because Bloomberg reported

two days ago that apple is nearing a

deal with open AI to put chat GPT on

iPhone and in case you're wondering

about GPT 4.5 or even five samman said

we'll have more stuff to share soon and

Mira murati in the official presentation

said that would be soon updating us on

progress on the next big thing whether

that's empty hype or real you can decide

no word of course about openai

co-founder ilas Sask although he was

listed as a contributor under additional

leadership overall I think this model

will be massively more popular even if

it isn't massively more intelligent you

can prompt the model now with text and

images in the open AI playground all the

links will be in the description note

also that all the demos you saw were in

real time at 1X speed that I think was a

nod to Google's botch demo of course

let's see tomorrow what Google replies

with to those who think that GPT 40 is a

huge dry towards AGI I would Point them

to the somewhat mixed results on the

reasoning benchmarks expect GPT 40 to

still suffer from a massive amount of

hallucinations to those though who think

that GPT 40 will change nothing I would

say this look at what chat GPT did to

the popularity of the underlying GPT

series it being a free and chatty model

brought a 100 million people into

testing AI GPT 40 being the smartest

model currently available and free on

the web and multimodal I think could

unlock AI for hundreds of millions more

people but of course only time will tell

if you want to analyze the announcement

even more do join me on the AI insiders

Discord via patreon we have live meetups

around the world and professional best

practice sharing so let me know what you

think and as always have a wonderful day