Aider + NextJS + O1 & O1-Mini : Generate FULL-STACK Apps in JUST ONE PROMPT (Better than Claude?)
Summary
TLDRThis 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
- π OpenAI has launched a new model, 01, which excels in various tasks including coding, math, chemistry, and biology.
- π 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.
- π 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.
- πΎ The whole edit format, which returns a full copy of the source code file with changes, is deemed more practical for use.
- π Using the diff edit format, which returns search and replace blocks, the 01 preview model scored 75.2% on the AER benchmark.
- π° 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.
- π« 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.
- π οΈ AER's team is working to optimize prompts and edit formats to better utilize the 01 models.
- π» The video demonstrates using AER with the 01 model to create a Next.js project for a book management app, showcasing its capabilities.
- π The 01 Mini model was also tested, creating a calorie tracker app, but with some minor issues, suggesting room for improvement.
- π€ 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
π€ 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.
π 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.
Mindmap
Keywords
π‘OpenAI
π‘AER
π‘Benchmark
π‘Edit Format
π‘Rate Limits
π‘Next.js
π‘Local Storage
π‘Prompt Catching
π‘Sonnet
π‘Claude
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
consider donating to my Channel Through
the super thanks option below
or you can also consider becoming a
member by clicking the join
button also give this video a thumbs up
and subscribe to my channel I'll see you
in the next video till then bye
[Music]
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