Aider + NextJS + O1 & O1-Mini : Generate FULL-STACK Apps in JUST ONE PROMPT (Better than Claude?)

Summary

This video discusses OpenAI's new 01 model and its performance on the AER benchmarks, scoring 79.7% on code editing tasks. It compares 01 with other models like Sonet and GPT-4, noting that while 01 performs well, it's more expensive and has rate limits. The video demonstrates using AER with 01 to create a book management app and a calorie tracker app, suggesting Sonet might be a more cost-effective choice for coding tasks due to its prompt caching feature.

Takeaways

• 🚀 OpenAI has launched a new model, 01, which excels in various tasks including coding, math, chemistry, and biology.
• 📈 The 01 model has achieved top scores on the AER benchmarks, completing 79.7% of the questions and scoring 100% in the correct edit format.
• 🏆 The 01 preview model's performance on AER's code editing benchmark is state-of-the-art, suggesting it's among the best in its class.
• 💾 The whole edit format, which returns a full copy of the source code file with changes, is deemed more practical for use.
• 📊 Using the diff edit format, which returns search and replace blocks, the 01 preview model scored 75.2% on the AER benchmark.
• 💰 The 01 Mini model is priced similarly to GPT-4 and Claude 3.5 but scored below them, indicating a lower cost-to-performance ratio.
• 🚫 OpenAI's API access to the 01 model is restricted to tier five members of the OpenAI Enterprise API, imposing rate limits and high costs.
• 🛠️ AER's team is working to optimize prompts and edit formats to better utilize the 01 models.
• 💻 The video demonstrates using AER with the 01 model to create a Next.js project for a book management app, showcasing its capabilities.
• 📊 The 01 Mini model was also tested, creating a calorie tracker app, but with some minor issues, suggesting room for improvement.
• 🤔 The presenter concludes that Sonet remains a better coding model due to its cost-effectiveness and prompt caching, despite the 01 model's high performance.

Q & A

What is the new model launched by OpenAI?

OpenAI has launched their new 01 model.

What capabilities does the 01 model have?

The 01 model is capable of handling tasks ranging from coding to math, chemistry, biology, and various other domains.

How does the 01 model perform on AER's benchmarks?

The 01 model has achieved a high performance on AER's benchmarks, scoring 79.7% on the code editing benchmark and 100% using the correct edit format.

What is the significance of the whole edit format in AER's benchmarks?

The whole edit format allows the model to return a full copy of the source code file with changes, which is considered more practical and efficient for editing source code.

How does the 01 Mini model compare to other models in terms of pricing and performance?

The 01 Mini model is priced similarly to GPT-4 and Claude 3.5 but scored below those models in benchmarks. It works best with the whole edit format.

What challenges does the 01 model face with AER's diff edit format?

The 01 model had trouble conforming to AER's diff edit format, which might be due to the model's own processing formats that make it harder for users to adapt to custom formats.

What is the current limitation for using the 01 model through OpenAI's API?

API access to the 01 model is currently limited to tier five members of the OpenAI Enterprise API, and even then, there are rate limits such as 20 requests per minute.

How can one use AER with the 01 model?

To use AER with the 01 model, one needs to install or update AER, set the OpenAI API key, and start AER with the 01 model. If using OpenRouter, set the OpenRouter API key and start AER with the 01 model.

What is the reviewer's opinion on the cost-effectiveness of the 01 model compared to Sonet?

The reviewer suggests that Sonet is more cost-effective and performs better for coding tasks, despite the 01 model's capabilities.

What is the reviewer's overall impression of OpenAI's recent model launches?

The reviewer has been somewhat disappointed with recent OpenAI launches due to issues that make them less suitable for most use cases and hopes for improvements in usability and cost reduction in future releases.

Outlines

00:00

🤖 OpenAI's New 01 Model Performance Review

The video discusses the recent launch of OpenAI's 01 model, which excels in various tasks including coding, math, chemistry, and biology. The model has achieved impressive results on the AER benchmarks, scoring 79.7% on the code editing benchmark and 100% using the correct edit format. The video also compares the 01 model with other models like Sonet and GPT-40, noting that while the 01 model performs well, it is more expensive and has rate limits for API access. The video then demonstrates how to use the 01 model with AER to create a Next.js project for book management, highlighting the model's capabilities and limitations.

05:01

📊 Testing 01 Mini Model and Comparison with Sonet

The second paragraph of the video script focuses on testing the 01 Mini model and comparing it with Sonet. The host creates a Next.js project and asks the AI to develop a calorie tracker app, storing data in local storage. The 01 Mini model completes the task with minor issues, but the host expresses disappointment with the cost and performance of the 01 models compared to Sonet, which is more cost-effective and has prompt caching. The host concludes that for coding tasks, Sonet remains superior despite the 01 model's capabilities. The video ends with a call to action for viewers to share their thoughts, support the channel, and subscribe for future content.

Keywords

💡OpenAI

OpenAI is a research and deployment company that develops artificial general intelligence (AGI). In the context of the video, OpenAI has launched a new model referred to as '01', which is showcased for its capabilities in various fields such as coding, math, chemistry, and biology. The video discusses the model's performance on AER benchmarks, highlighting its strengths and limitations.

💡AER

AER, or AI Evaluation and Research, is a benchmark used to test the capabilities of AI models. The video script mentions that AER has updated its benchmarks to include newer models like OpenAI's '01'. The script discusses the '01' model's performance on AER's benchmarks, emphasizing its high completion rate and efficiency in code editing.

💡Benchmark

A benchmark in the context of AI refers to a standard or point of reference used to compare the performance of different AI models. The video script highlights the '01' model's benchmark scores on AER's tests, with a focus on its ability to complete a significant percentage of AER's questions and its use of different edit formats.

💡Edit Format

Edit format refers to the method by which an AI model makes changes to a codebase. The video discusses two types of edit formats: 'whole edit format', where the model returns a full copy of the source code with changes, and 'diff edit format', which involves returning search and replace blocks for efficient editing. The '01' model's performance with these formats is a key point of discussion.

💡Rate Limits

Rate limits are restrictions placed on the number of requests that can be made to an API within a certain time frame. The video script mentions that OpenAI has imposed rate limits on access to the '01' model, requiring users to be tier five members of the OpenAI Enterprise API and still face limitations on the number of requests they can make.

💡Next.js

Next.js is a popular React framework for building server-rendered applications. In the video, the script describes the creation of a Next.js project to build an app, which the '01' model is asked to assist with. The model's ability to generate code for a book management app within a Next.js environment is showcased.

💡Local Storage

Local storage is a way to store data on a user's browser, allowing for data persistence across sessions. The video script includes a prompt where the '01' model is asked to create an app that uses local storage to manage and retrieve data, demonstrating the model's capability to understand and implement web storage solutions.

💡Prompt Catching

Prompt catching is a feature that allows AI models to remember previous interactions and use that context in subsequent responses. The video script compares different AI models, noting that Sonet has prompt catching, which can reduce costs by reusing previous interactions, unlike the '01' model which does not mention this feature.

💡Sonnet

Sonnet is an AI model mentioned in the video as a comparison to OpenAI's '01' model. The script suggests that Sonet remains a better choice for coding tasks due to its cost-effectiveness and the presence of prompt catching, which is absent in the '01' model.

💡Claude

Claude is another AI model referenced in the video script, positioned as a top performer in AI capabilities. The video suggests that Claude still holds the crown in terms of performance, despite the '01' model's advancements, due to its overall effectiveness and cost considerations.

Highlights

OpenAI has launched a new model, 01, which excels in various fields including coding, math, chemistry, and biology.

Ader has updated their benchmarks to include the new 01 model, showcasing impressive performance.

01 has achieved the highest position on Ader's leaderboard, completing 79.7% of the benchmark questions.

The 01 model scored 100% using the correct edit format in Ader's code editing benchmark.

Ader's diff edit format allows for efficient source code editing through search and replace blocks.

The 01 preview model scored 75.2% using the diff edit format, placing it between Sonet and GPT-4 for practical use.

The 01 Mini model is priced similarly to GPT-4 and Claude 3.5 but scored below these models.

Both 01 models perform better with the whole edit format rather than diff edit format.

The 01 Mini model had difficulty conforming to both whole and diff edit formats.

Models like 01 may struggle with custom formats due to their own processing formats.

Ader's team is working to optimize prompts and edit formats for better utilization of 01 models.

API access to the 01 model is limited to tier five members of the OpenAI Enterprise API.

Open Router has added the 01 model but it is also very rate limited.

Ader can be used with the 01 model through Open Router with an API key.

The 01 model was used to create a Next.js project for a book management app.

The 01 model generated a functional book management app with local storage.

The 01 Mini model was tested for creating a calorie tracker app with local storage.

Despite the capabilities, the 01 model is not recommended for coding due to higher costs and Sonet being a better option.

Sonet remains a more cost-effective choice for coding with prompt caching to reduce costs.

Claude still holds the crown for coding models, and there is a pattern of OpenAI models having issues for most use cases.

The video concludes with a call to action for viewers to support the channel and engage with the content.

Transcripts

[Music]

[Applause]

hi welcome to another video so recently

open AI has launched their new 01 model

which is great and insane at a lot of

things from coding to math chemistry

biology and just about anything you want

to do but recently ader has also updated

their benchmarks to account for these

new models and the performance of 01 on

AER looks

insane let's take a look at it so 01 is

now in the highest position on the

leaderboard it has completed

79.7% of aer's Benchmark questions and

it even scored 100% using the correct

edit

format they say that 01 preview scored

79.7% on aer's code editing Benchmark

which is a state-of-the-art

result it achieved this with the whole

edit format where the llm returns a full

copy of the source code file with

changes they also say it's much more

practical to use aer's diff edit format

which allows the llm to return search

replace blocks to efficiently edit the

source

code this saves significant time and

token costs using the diff edit format

the the 01 preview model had a strong

Benchmark score of

75.2% this likely places 01 preview

between Sonet and GPT 40 for practical

use but at significantly higher costs

they also tested the 01 Mini model and

said that open ai's 01 mini is priced

similarly to GPT 4 and Claude 3.5 Sonet

but scored below those models

it also works best with the whole edit

format so both models work correctly and

better with the whole edit format and

the 01 mini doesn't score

extraordinarily falling below Claude 3.5

Sonet which is very

interesting so I think with this we know

that Sonet Still Remains a better coding

model at least which is really cool they

also say that the 01 preview model had

trouble conforming to aer's diff edit

format while the 01 Mini model had

trouble conforming to both the whole and

diff edit

formats I think this happens with models

like this because they have their own

formats for

processing which makes it harder for

users to adapt their custom

formats this is also the reason why

these models don't support tool and

function

calling aer's team is indeed working to

to optimize its prompts and edit formats

to better harness the 01

models so that's the major part about

the benchmarks they have shared but

there's one major issue with using the

01 model and that's the rate

limits so open aai has only allowed API

access to the model for tier five

members of the open AI Enterprise

API this means you need to be an

Enterprise customer and have spent a lot

of money on their

platform even with all that you'll still

be rate limited to something like 20

requests per minute or similar

restrictions for US Open router has

added the model but it's also very rate

limited because they only have a set

number of accounts and API keys they can

use but it's fine to at least try out 0

one's capabilities with AER you can also

use it with these commands if you have

open AI API access to the model anyway

let's get started with it first of all

install AER with Pip install AER chat or

if you already have it just update AER

once that's done we can start using it

if you're using open AI directly set

your open aai API key and use AER with

the 01 model but I'll be using it with

open router so set your open router API

key and once you've done that start AER

with open router and the 01 model now we

can use it but before that let's create

a nextjs project here because I'll be

building an app using nextjs that a lot

of people would like to

make so let's just do that here now

that's done let's start AER now we can

ask it to do anything here let's ask it

to make a nice book management app where

I can add my books and mark them as read

or not

read I also wanted to store everything

in local storage so we can retrieve data

from it later and stuff like that here's

the prompt let's send it over and see

it's doing that now let's wait a little

bit

[Music]

okay it seems like it's done let's run

it and see but before that let's run npm

install so everything is installed now

let's run it okay this looks pretty good

it has made the app and it looks great

for a first try so this is really good

it also has local storage and it works

fine so this is really good I won't give

it any more prompts Beyond this because

it will exhaust my rate limits for the

next model which is 01 mini but I think

it's performing well with ader although

I don't see much difference between this

and sonnet and sonnet is just insanely

cheaper so I think Sonet is better plus

it has prompt catching which will

decrease your costs even more anyway now

let's try it with 01 mini I've created a

new nextjs project here let's start ader

with 01 mini okay it started this time

let's ask it to make a calorie tracker

app and also store it in local storage

let's send it and see okay it's doing

that now let's wait a bit

[Music]

and it's done let's approve everything

here now let's run npm install and get

everything installed once that's done

let's run it okay here's the generation

and it looks fine it works fine although

it has some minor issues but that's okay

so that's basically how you can use ader

with

o1 but I think you shouldn't use it with

o1 because it's not that good and just

costs insanely

more Sonet is still better and works

best with lower costs and their prompt

caching 01 might be good in some things

but for coding I think Sonet is still

way better and more cost

effective so Claude still holds the

crown and to be honest I've been a

little disappointed with the last few

open AI launches because all of their

mod have some kind of issue that makes

them not so great for most use cases

that's a pattern I've been seeing I hope

open AI launches these models out of

beta makes them easier to use and lowers

the costs to make them at least usable

for everyone but overall it's pretty

cool anyway let me know your thoughts in

the comments if you liked this video

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and subscribe to my channel I'll see you

in the next video till then bye

[Music]