o1-Preview: 11 STUNNING Use Cases

Summary

The video discusses practical applications of OpenAI's new model, emphasizing its advanced reasoning capabilities beyond traditional chatbots. It showcases the model's proficiency in coding, enabling users to develop functional programs and apps with minimal coding knowledge. The video also explores its potential in business management, healthcare diagnostics, legal document revision, and research assistance, suggesting that the model can serve as a valuable tool for a wide range of professional and personal tasks.

Takeaways

• 🤖 The new AI model from OpenAI is designed for advanced reasoning, making it a powerful tool for complex problem-solving beyond traditional chatbot capabilities.
• 💡 The model's intelligence can be underutilized because people might not immediately see practical use cases for a model that excels in competitive programming and complex reasoning.
• 👨‍💻 As a competent coder, the model can assist non-developers in building functional programs, showcasing its ability to handle detailed coding tasks with step-by-step guidance.
• 🎮 Examples include creating a 3D FPS game in HTML and an iOS app in under 10 minutes, demonstrating the model's practical applications in software development.
• 🛠️ The model's coding capabilities are not just for creating simple experiments; they represent a significant shift in how we can approach building applications and understanding code.
• 💼 In business and management, the model can act as an advisor, providing insights and strategies based on detailed prompts, which can be valuable for entrepreneurs and side hustlers.
• 🏥 The model's potential in healthcare includes aiding in personalized health plans and suggesting diagnoses, though it should not replace professional medical advice.
• 📚 For legal work, the model shows promise in document revision and understanding numerical content within legal agreements, which could be a valuable asset in the legal field.
• 🔍 In research, the model can expedite tasks that might take researchers months or years, providing a significant boost to the research process.
• 🌟 The video emphasizes the importance of experimenting with detailed prompts to fully leverage the model's capabilities and encourages viewers to share their own use cases.

Q & A

What is the primary reason people are curious about OpenAI's new model?

People are curious because the new model is a reasoning model, trained to be exceptionally smart and capable of handling complex problems over many steps, which is different from traditional chatbots.

Why might the average person struggle to find a use case for this model?

The average person might struggle because the model's capabilities are so advanced that it's not immediately clear how to apply such a high-level reasoning tool in everyday scenarios.

What are the five main categories of real-world use cases discussed in the video?

The video discusses five main categories: coding, business/management advice, healthcare, legal work, and research assistance.

How does the model demonstrate competency in coding?

The model demonstrates coding competency by enabling individuals with no coding skills to build functional programs and by providing step-by-step explanations for coding tasks that were previously difficult or impossible for non-coders.

What is an example of a project someone built using the model's coding assistance?

An example is a person with zero coding skills who managed to create a 3D FPS game in fully HTML using the model's assistance.

How does the model assist in business and management advice?

The model assists by reasoning through complex business problems, considering multiple factors, and providing comprehensive plans or strategies that can be used in real-world business scenarios.

What is the potential use of the model in the healthcare sector?

The model can aid in personalized health plans, suggest lifestyle changes, and potentially offer diagnoses for various health issues, though it should not replace professional medical advice.

How does the model perform in legal tasks according to the article mentioned in the video?

The model shows significant improvements in document revision tasks, such as updating commercial leases, and in understanding numerical content within legal agreements, which can help in detecting discrepancies.

What is the model's capability in research as highlighted in the video?

The model can significantly speed up research tasks by generating code that replicates complex research project functionalities, thus potentially reducing the time spent on certain research tasks.

What is the importance of providing detailed prompts when using the model?

Providing detailed prompts is crucial as it allows the model to give more accurate and comprehensive responses, reducing the chances of missing instructions and enhancing the model's output quality.

Outlines

00:00

🤖 Introduction to OpenAI's Advanced Model

The speaker introduces OpenAI's new model, emphasizing its reasoning capabilities and smart problem-solving skills. They discuss how the model's intelligence might be underutilized by the average person who may not immediately see practical applications. The speaker promises to explore real-world use cases that can benefit daily life, hinting at the model's proficiency in coding and its potential to assist in various areas beyond competitive programming or academic expertise.

05:01

💻 Coding Proficiency and Real-World Applications

The speaker illustrates the model's coding capabilities, highlighting its ability to assist non-coders in creating functional programs. Examples include building a 3D FPS game in HTML and an iOS app within minutes. The model's step-by-step guidance is emphasized, showing its potential to democratize software development. The speaker also discusses the model's broader implications, suggesting that it could be used to understand and build various applications, even by those without extensive coding knowledge.

10:02

🧠 Reasoning and Problem-Solving

The speaker delves into the model's reasoning abilities, noting its potential for complex problem-solving across various domains. They discuss how the model can be used to learn and understand system workings, even without prior knowledge, by providing feedback and guidance. The speaker also mentions the model's potential in future AI systems, suggesting that experimenting with it now could provide a foundational understanding for leveraging more advanced models in the future.

15:02

🏥 Healthcare and Medical Diagnosis

The speaker explores the model's application in healthcare, particularly in making accurate medical diagnoses. They compare the model's performance with previous versions, noting significant improvements in reasoning over multiple factors to reach correct conclusions. The speaker suggests that while the model should not replace professional medical advice, it could offer valuable insights and personalized health plans, potentially辅助 in areas like lifestyle changes or suggesting diagnoses.

20:02

⚖️ Legal and Research Applications

The speaker discusses the model's utility in legal work, such as drafting and revising agreements, and its ability to understand numerical content in legal documents. They also touch on the model's potential in research, suggesting it can expedite tasks that traditionally take extensive time and effort. The speaker shares anecdotes of the model's efficiency, such as replicating a PhD project's functionality in a fraction of the time it took the original researcher.

Keywords

💡Reasoning Model

A reasoning model refers to an artificial intelligence system that is designed to simulate human-like thought processes to solve complex problems. In the context of the video, the OpenAI model is described as a reasoning model because it is trained to think through problems and provide solutions that involve multiple steps of logic. The video emphasizes that this model is not just a chatbot but one that can handle complex reasoning tasks, which sets it apart from traditional AI models.

💡Competitive Programming

Competitive programming is a type of programming contest where participants try to solve complex algorithmic problems within a limited time. The video mentions that the AI model ranks in the 89th percentile on competitive programming, indicating that it has advanced problem-solving capabilities. This is used to highlight the model's proficiency in coding and its ability to tackle difficult computational challenges.

💡Coding

Coding is the process of writing computer programs in a specific programming language. The video script discusses how the AI model can be used for coding, enabling individuals with no coding experience to create functional programs. Examples provided include building a 3D HTML game and an iOS app, showcasing the model's utility in software development and its potential to democratize coding skills.

💡AI Assistance

AI Assistance refers to the use of artificial intelligence to aid in tasks that would typically require human intelligence. In the video, AI assistance is exemplified by the model's ability to help users build applications and understand complex coding concepts. It positions the AI model as a powerful tool that can guide users through the process of creating software, even for those without prior coding knowledge.

💡Business/Management Advice

Business/Management advice involves providing guidance or recommendations on how to manage a business effectively. The video script highlights the AI model's capability to offer such advice, suggesting that it can analyze various factors and provide strategic insights. An example given is the model's ability to devise a crisis management plan for a hypothetical supply chain issue, demonstrating its potential use in real-world business scenarios.

💡Healthcare

Healthcare refers to the diagnosis, treatment, and prevention of disease, illness, injury, and other physical and mental impairments in people. The video mentions the AI model's potential in healthcare, particularly in making accurate diagnoses based on patient data. It suggests that the model could assist in personalized health planning and provide a valuable third or fourth opinion, though it emphasizes the importance of professional medical advice.

💡Legal Work

Legal work encompasses a wide range of activities related to the law, including drafting contracts, providing legal advice, and representing clients in legal proceedings. The video discusses the AI model's application in legal tasks, such as document revision and ensuring numerical consistency in legal agreements. It suggests that the model can be a valuable tool for legal professionals, streamlining tasks that would otherwise be time-consuming.

💡Research

Research in the context of the video refers to the process of investigating and discovering new information in a systematic and scientific way. The video script includes an anecdote of a user whose AI-generated code mirrored the functionality of their PhD project, indicating the model's potential to assist in research tasks. It suggests that the AI model can expedite research processes, particularly for complex or data-intensive projects.

💡Personalized Health Plans

Personalized health plans are tailored health and wellness strategies that consider an individual's unique needs, circumstances, and health conditions. The video suggests that the AI model could assist in creating such plans by analyzing personal health data and recommending lifestyle changes or potential diagnoses. This highlights the model's potential to provide customized health advice, though it reiterates the need for professional medical consultation.

💡Document Revision

Document revision in a legal context involves reviewing and making changes to legal documents to ensure they are accurate, consistent, and legally sound. The video mentions the AI model's ability to perform document revision tasks effectively, which is significant because it suggests the model can handle complex, nuanced tasks that require a deep understanding of context and detail.

Highlights

People are curious about practical uses for OpenAI's new model, which is designed for advanced reasoning.

The model is exceptionally smart, potentially exceeding the needs of average users.

The model can be utilized in five main real-world categories, enhancing daily life.

As a competent coder, the model can build functional programs even for non-coders.

An individual with no coding skills used the model to create a 3D FPS game in HTML.

The model provides step-by-step explanations, aiding those without coding experience.

A user combined OpenAI's model with an AI coding application to create an iOS app in under 10 minutes.

The model can be a valuable tool for understanding and building software, even for non-developers.

The model's coding capabilities are not just for fun projects; they have practical business applications.

Business and management advice is a profound use for the model, considering multiple decision factors.

The model can provide comprehensive crisis management plans for complex business problems.

For personal use, the model can advise on starting a side hustle or validating business ideas.

In healthcare, the model can aid with personalized health plans and suggest lifestyle changes.

The model's diagnostic abilities in healthcare show potential for assisting with clinical diagnoses.

Legal work is another area where the model excels, particularly in document revision and understanding numerical content.

Researchers and those doing complex analysis can leverage the model to expedite their work.

A user reported that GPT-3 accomplished in one hour what took them a year in their PhD research.

The video concludes by encouraging viewers to experiment with the model and share their use cases.

Transcripts

so with open ai's new model release many

people have been wondering what you

could actually use the model one of the

things and one of the most common

questions I've been getting is how do I

actually use this model effectively the

reason that this question is quite

prevalent right now is because this

model is essentially a reasoning meaning

that it's not quite like your

traditional chatti in the sense that

this model is actually trained to be

really smart meaning that it's going to

reason for long steps about many

different problems basically this model

is so smart that I think the average

person might not realize the use case

for this model and looking at the

evaluations and a lot of other different

metrics you can see that this thing is

incredibly smart but that doesn't mean

that this doesn't have any applications

and that's what I'm going to be getting

into today how you can take advantage of

a super smart model even if you might

not need a model that ranks 89th

percentile on competitive programming or

is on the level of human PhD so let's

get into the actual real world use cases

that you can use on a day-to-day basis

that can actually help your life now

further on in this video there's going

to be five main categories that I'm

going to go through so just stick around

to the end of the video to see if at

least one of these categories does help

you in some aspect or area of your life

because you can be surprised with what

this model of doing so one of the first

things that you could actually do with

this model is this model is a very

competent coder we already recently

spoke about how this model manages to

solve difficult problems in certain

challenges but I think most people are

missing the application in terms of how

good this model is at coding for example

here I'm going to walk you guys through

a couple of examples where individuals

with no coding ability at all were able

to build funable programs but then I'm

going to show you why this is incredible

in terms of using it on a day-to-day

basis you can see this person here said

01 preview made a 3d FPS game in fully

HTML I have zero coding skills so it

took a few tries but eventually it

worked and you can see right here that

this is a game that was built just few a

few prompt basically what you can do

with this model is you can code things

that you previously weren't able to code

with other models like cloth or how the

jump if you weren't familiar with gp4

what that jump was able to do with just

a small Improvement in terms of the

overall coding ability when the code is

coherent and it works people have been

able to build many different things so

this is something that basically shows

us that once we have another jump from

son 5 all the way up to 01 preview this

is going to be something that allows you

to code extraordinarily well now what

this is doing is this is basically a

step-by-step explainer for individuals

that don't have any coding experience

now I know some of you will have some

coding experience and the majority

probably won't the majority aren't

software developers but I think most

people aren't utilizing this ability to

at least understand fundamentally how

certain programs going to work and how

you can build your very own programs

yourself now some people might be

thinking oh I can use this program to

code a 3D HTML game what on Earth is the

point of this this is not like a AAA

game that I can play or sell this is

just some fun kind of experiment you'd

be correct in stating that yes this

isn't a gamechanging thing in terms of

this right here and when I say this

right here I mean this particular

example but that's not what you should

be focusing what you should be focusing

on is the fact that you can actually use

a model to completely understand step by

step and build anything within reason

with a model that understands major

Concepts around coding and I'm going to

show you guys why those implications are

more profound than you might so for

example what we can see here is am

maresi stating that I just combined open

AI 01 and cursor composer which is an AI

application that allows you to code

really efficiently with AI to create an

IOS app in under 10 minutes A1 Mini

kicks off the project 01 was taking too

long to think and then I switched to 01

to finish off the detail and then boom

we have a full weather app or iOS with

animations in under 10 minutes so this

is what I mean when I talk about about

the fact that we have a major paradigm

shift on our hands when we take a look

at the fact that we have a system that

can code step by step and Achieve far

greater accuracy than prior models this

is going to bring us to some nice

outcomes for the average user I mean

previously if you wanted to build your

own iOS application it would essentially

take thousands and thousands of dollars

and perhaps one or two competent

software developers in order to get now

what we can do is we can prompt an AI

system in order to just figure out

exactly what we want and we can learn

how these systems kind of work even if

we don't understand anything we can

literally just screenshot it and ask GPT

for o and continually get feedback on

what it is that we're building and how

to understand exactly what it is that we

are doing I don't think you understand

how incredible this is and the worst

thing about it is that this model I

wouldn't say that this is more so a

coding model I would say that this model

is one that is more like a reasoning

model in the sense that this model is

one that thinks for quite some time and

is trying to solve really difficult

problems that require a lot of different

steps of course coding definitely falls

into that category but I can't imagine

what we're going to be able to build

with GPT 5 other future AI systems which

is why I do believe that at least

messing around with building certain

applications with 01 preview right now

now is going to be decent even if you

have four because you're going to get a

fundamental understanding of how to use

AI with coding so that in the future

when it gets even better you might have

an app idea you might have some kind of

software that you want to build for your

own company your own management and

you'll be surprised at how much money

you can make from that in the future and

there was also this example of someone

using the 01 model to build a fully

functional chess game that allows them

to compete against an AI opponent the

implications for this are staggering but

I will include two more examples from

open ai's official documentation where

they actually talk about how they've

been using coding for certain area I

want to show an example of a coding

prompt that 01 preview is able to do but

previous models might struggle with and

the coding prompt is to write the code

for a very simple video game called

squirrel finder and the reason o1

preview is better at doing prompts like

this is when it wants to write a piece

of code

it thinks before giving the final answer

so it can use the thinking process to

plan out the structure of the code make

sure it fits the constraints so let's

try pasting this

in and to give a brief overview of the

prompt um the game scroll finder

basically has a koala that you can move

using the arrow keys um strawberri spawn

every second and they bounce around and

you want to avoid the strawberries after

3 seconds a squirrel icon comes up and

you want to find the squirrel to win and

there are a few other instructions like

um putting open AI in the game screen

and display instructions before the game

starts

Etc so first you can see that the model

thought for 21 seconds before giving the

final answer and you could see that

during its thinking process it is

gathering details on the game's layout

mapping out the instructions setting up

the screen

Etc and so here's the code that gave and

I will paste it into a uh to a window

and we'll see if it

works so you seen there's instructions

um and let's try to play the

game oh the squirrel came very

quickly but oops this time I was hit by

a

strawberry let's try again you can see

that the strawberries are appearing uh

and let's see if I can win by finding

the

squirrel looks like I

won all right so the example I'm going

to show is a writing a code for

visualization so I sometimes teach a

class on Transformers which is a

technology behind models like chapp and

when you give a sentence to Chach it has

to understand the relationship between

the words and so on so it's a sequence

of words and you just have to model that

and Transformers utilize What's called

the self attention to model that so I

always thought okay if I can visualize

this self attention mechanism and with

some interactive components to it it

will be really great I just don't have

the skills to do that so let's ask our

new model o1 preview to help me out on

that so I just typed in uh this command

uh and see how the model does so unlike

the previous models like GPT 40 it will

think before outputting an end

so it starts started thinking as it's

thinking let me show you what are some

of these requirements I'm giving a bunch

of requirements to think through so

first one is like use an example

sentence the quick brown fox and second

one is like when hovering over a token

visualize the edges whose thicknesses

are proportional to the attention score

and that means just if the two words are

more relevant then have a thicker edges

and so on so the one common failure

modes of the existing models is that

when you give a lot of the instructions

to follow it can miss one of them just

like humans can miss one of them if you

give too many of them at once so because

this reasoning model can think very

slowly and carefully it can go through

each requirement uh in depth and that

reduces the chance of missing um the

instruction so this output code let me

copy paste this into a terminal so I'm

going to use the the editor of 2024 for

so Vim HTML so I'm just going to paste

this thing into that and just save it

out uh and on the browser I'll just try

to open this up and you can see that uh

when I Hoover over this thing it shows

the arrows um and then quick and brown

and so on and when I Hoover out of it it

goes away so that's a correctly rendered

um version of it now when I click on it

it shows the attention scores as just

just as I asked for and maybe there's a

little bit of rendering like it's

overlapping but other than that is

actually much better than what I could

have done yeah so this model did uh

really nicely I think this can be a

really useful tool for me to come up

with a bunch of different visualization

tools for uh my new teaching session so

the next area that is really profound

and this is one that I actually spoke

about in my community where I help

people to get the most out of AI

basically what you can actually do with

this and I think this is one of the you

know most underrated uses of this model

is actual business/ management advice so

the reason that this model is really

good is because with business and

management you have to consider many

different factors weigh into any

decision that will impact the kind of

choices you're going to be making on a

day-to-day basis and I think that this

is something that is quite underutilized

just because many people aren't business

I know that most people are employees

but if you ever wanted to start a side

hustle this is going to be something

that could work as a really good advisor

in terms of business when open AI 01 was

released I was actually watching a few

videos and you can see one of them is

here this video is from Samar Hadad and

basically he spoke recently about how he

was wrong when he was doing in-depth

testing on complex business pro so

initially what he actually did was he

critiqued the gpt1 model for its

performance on complex problems but

after feedback he decided to test the

model again with a more detailed prompt

so basically what he did was he decided

to submit a business problem involving

supply chain crisis for a smartphone

manufacturer that heavily relies on

semiconductor chips from A taian

supplier facing geopolitical and

environmental challenges this prompt

actually included details like Financial

impacts production sites market share

information supply chain details and

anticipated losses due to chip s and

basically what the task was the task was

to create a immediate crisis management

and after he submitted this prompt it

actually managed to deliver a really

comprehensive plan covering multiple

Strat now I won't get into all of the

details such as negotiating prioritary

Supply whatever increasing inventory

through stockpiling but the model

provides detailed estimate for each

strategy's budget and including how it

derived each of these numbers and just

many different insights that he didn't

now of course the reason that this has

gone under the radar is because most

people aren't thinking I have a business

that has these kind of issues but what I

do know is that what you can do is you

can reason with these models with your

own personal data and when I say

personal data I mean for example you

could say I'm 37 I work a job in it I've

got maybe two kids and I'm trying to

start a side hustle in this Niche or

this industry what would be the best

steps to get started or can you validate

this idea based on my personal

circumstance and because the model is

going to reason through many different

steps you're likely going to gain some

really nice insights in areas that you

most likely would have missed the model

is going to draw on different

comparisons and different insights that

other models just wouldn't see and I

think the reason that people are finding

out that these models are a lot smarter

than they thought is because of course

these models are quite rap it's quite

hard to figure out exactly what a model

can do if you're only allowed to use it

a certain amount of time so I'd still

experiment with this model and different

prompts because this is something use

even if you don't have a business if you

want to start a side hustle validate a

side hustle or even just help out a

friend's business in terms of advice

this is something that can be remarkably

helpful now the next one which is I

guess you could say this is a gray area

but this one is in the healthare area so

in health science we can see that there

are comparisons between gbt 40 and the

open 01 preview and essentially what we

do have here is the fact that open ai1

actually performs really well when

making different diagnosis once again

it's able to reason over many different

factors and then come to a conclusion

that is the most like you can see that

on the left hand side we can see that

GPT 40 is trying to make a diagnosis

based on the following report you can

see the phenotypes and the excluded

phenotype and then we can see that it

comes to a diagnosis which unfortunately

is wrong but then of course we can see

the open ai1 preview having the same

exact prompt of course right here you

can see that there is a really really

extensive Chain of Thought that actually

does diagnose the person with the right

syndrome and this is something that I

think does have decent implications

because if this model is able to do this

level of reasoning based on phenotypes I

would say that it has been remarkably

effective at clinical diagnosis 2 so

essentially this model can actually Aid

SL assist with personalized health plans

for those that could be experiencing

perhaps maybe chronic issues or issues

that they just feel aren't that visible

on the I know that everyone is an

individual everyone is a unique in

person and in doing that people have

lots of different pieces of data that

might not fall into the traditional

buckets when they are searching for

certain issues of course you should

always go to the doctor to get diagnosed

for anything as they are likely to have

your health record and they are likely

to know a lot more than a large language

model but I do think that it can be

useful in suggesting certain perhaps

lifestyle changes or potentially

suggesting certain diagnoses for things

that you may be dealing with that you

haven't potentially thought about I'm

not stating that this is just like a

doctor I'm just stating that this is a

really useful tool that when combined

with the specifics of your personal

situation could provide a more

personalized report based on all the

different pieces of data that you might

not feel comfortable sharing with your

doctor now if you did watch my initial

video on the open ai1 I spoke about how

this medical scientist and immunologist

actually spoke about how the open ai1

preview actually completely outperforms

GPT 4 and GPT 4 on agent Clinic Med QA

and basically he says that this model

greatly outperforms GPT 40 the ability

to process complex medical information

deliver accurate diagnosis and provide

medical advice and recommended

treatments will only accelerate and we

can see here that this performance is

quite outstanding so for those of you

who perhaps were having troubles with

GPT 4 maybe you could try those same

prompts or saying maybe you're having an

issue with your pet and you don't have

access to a vet you could always ask 01

preview and perhaps you might just get a

response that could lead to a solution

and interestingly enough he follows it

up with this statistic which I haven't

fact checked this but I do know that a

lot of Americans do actually end up in

worse situations because dangerous

diseases are often misdiagnosed noed I

know that this happens in a variety of

different countries you can be in a very

first world country and this situation

can still happen due to human error

humans often make mistakes sometimes

these Physicians and doctors are often

overworked leading to sometimes subpar

performance which is of course not their

fault they're just trying to do the best

that they can but sometimes these

misdiagnoses Do Slip through the cracks

and then issues that were quite benign

then become issues that are life change

so a third or fourth opinion from a PhD

in your pocket I would say wouldn't hurt

I'm always going to preface that with

the fact that you should always make

sure before you make any lifestyle

changes to ask your doctor but with

these models I found that the more

detail you give them the much better

they are at providing recommendations

based on the current information another

area that most people might not need at

the moment but this is an area that I've

seen work pretty well is for legal work

so essentially I have actually used open

a for just drafting some pretty standard

agreements pretty simple ones of course

nothing that's too incredible and of

course always need these checked over by

a lawyer to make sure that they are

airtight but essentially this article

right here talks about the use for open

AI 01 for legal work it says spellbooks

First Impressions from implementing one

preview into legal workflow so opening

eyes is system to thinking is something

that allows the model to come to much

better conclusions than prior model so

it says the number one thing that we're

most excited about is 0's performance in

document revision t a lot of generative

AI experiences spit out entirely new

documents but lawyers are rarely draft

scratch they typically have a precedent

they want to modify contracts like share

purchase agreements can be 100 pages

long and make it significant revisions

to them requires a lot of jumping around

consistency checking and making sure

numbers add up system one thinking does

not work well here and it's a deep

challenge to get these tasks performing

well with models like in this example

below we used 01 with Spellbook

associate to update a commercial lease

based with 01 we are seeing dramatic

improvements for revision tasks across

the board one of our top predictions is

that there will be a lot more work for

BL on Nuance document revision launched

over the coming year now here's where

they talk about 01 for legal math they

say that another consistent weakness

with g upt 40 has been its ability to

really understand the numerical content

it's working with in its agreement and

whether it all adds up discrepancies

between cap table spreadsheets and deal

documents have cost shareholders many

millions of dollars while tools like

Spellbook have been great for detecting

legal issues and text they've been blind

to whether things like share prices and

ownership percentages really add up so

with these calculations they were

basically able to figure out if things

actually managed to work and they're

seeing an increased level of reliability

from these models so if you're someone

in the legal space perhaps testing these

models on a few internal benchmarks

could provide an insightful insight into

how useful those models could be then of

course we do have research so if you're

someone that's researching something for

your PhD even if you're just doing

business research I think this is going

to be something that is very very

effective for those of you that are

trying to explore New Frontiers in many

different scenario you can see that this

user says the feeling when chat gpt1

accomplishes in 1 hour what took you

about a year in your so this video in

question is one that I wouldn't say

broke the internet but provided a clear

demonstration of what this model is able

to do so essentially the user expressed

his amazement as he watched

gpt1 successfully run and generate code

that mirrors their phd's project

functionality the code that chat GPT

produced seems to replicate the essence

of what the user's original code does

despite being generated with synthetic

data and its own function now the code

generated by chat GPT wasn't a perfect

copy it uses synthetic data and has some

caveat for example it created its own

inputs and emitted some manual steps

that would normally require additional

software and effort such as fitting

curves and managing Edge effects in

convolutions and the user does note the

some fine tuning and verification are

still needed but the overall point here

is that this is something that by his

own words says that effectively

accomplish what I struggled for about 10

months in the first year of my PhD and

I'm excited to apply 01 for other use

case so hopefully this video did manage

to help you for using A1 I know that

this model is rather smart and it can be

quite daunting to think of a prompt to

effectively utilize the model's

capabilities but hopefully this video

managed to help you get to grips with

how to actually use and engage with such

a powerful model if you have any ideas

about how individuals can take advantage

of these models on a day-to-day basis

don't forget to leave your own comments

below because I'd love to hear your

ideas