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Task

User Engagement with the Genie AI Introduction

As a potential user of the Cosine Genie software, I explore the capabilities and details of the Genie AI model, so that I can understand its performance benchmark and how it can help improve my software engineering tasks.

Success definition: Given I am on the Cosine homepage at httpscosine.sh When I click on the Genie link and then the YouTube video link Then I should see the Genie introduction video embedded on the page, and when I click on the SWE-Bench link, I should be redirected to the arXiv page for the SWE-bench paper's details.

Trajectory

Step 1:

Url (before/after):

https://cosine.sh/

https://cosine.sh/genie

Content (before/after): 

RootWebArea Cosine AI - Human Reasoning Lab, focused, url='https://cosine.sh/'
    navigation
        [40] link Home, center=(702,56), inner_text=COSINE, url='https://cosine.sh/'
            image C, url='https://cosine.sh/assets/cosine-c-black.png'
            StaticText COSINE
Show more 
        [45] link Genie, center=(840,56), url='https://cosine.sh/genie'
        [46] link Blog, center=(926,56), url='https://cosine.sh/blog'
        [47] link About Us, center=(1026,56), url='https://cosine.sh/about'
        [49] link Join Waitlist, center=(1198,56), url='https://cosine.sh/register'
    [56] link ✨ Introducing Genie, an AI software engineering model, center=(960,128), url='https://cosine.sh/genie'
    Canvas
    Iframe YouTube video player
        RootWebArea Introducing Genie - YouTube, url='https://www.youtube.com/embed/7XrTkhaI4zs?si=5ANRfSXbmbS31Lzp&vq=hd1080&enablejsapi=1&origin=https://cosine.sh'
            [a31] link Photo image of Cosine, center=(264,1384)
            [a39] link Introducing Genie, center=(951,1385), url='https://www.youtube.com/watch?v=7XrTkhaI4zs'
            [a56] button Share, center=(1642,1382), hasPopup='menu'
                image
            [a92] button Play, center=(960,1762)
                image
            generic, atomic
            [a320] link Watch on YouTube, center=(318,2142), url='https://www.youtube.com/watch?v=7XrTkhaI4zs&embeds_referring_euri=https%3A%2F%2Fcosine.sh%2F&embeds_referring_origin=https%3A%2F%2Fcosine.sh'
    StaticText State of the art
    heading Genie has the highest score in the world on SWE-Bench
    paragraph
        StaticText SWE Bench is a comprehensive benchmark designed to evaluate the coding abilities of large language models across various software engineering tasks
    StaticText 30.08
    StaticText %
    StaticText Cosine Genie
    StaticText 19.27
    StaticText %
    StaticText Factory Code Droid
    StaticText 18.83
    StaticText %
    StaticText AutoCodeRover
    StaticText 14.6
    StaticText %
    StaticText AppMap Navie
    StaticText 13.82
    StaticText %
    StaticText Amazon Q Developer
    StaticText 13.8
    StaticText %
    StaticText Devin (claimed)
    StaticText 12.47
    StaticText %
    StaticText SWE-agent + GPT 4
    StaticText 10.51
    StaticText %
    StaticText SWE-agent + Claude 3 Opus
    StaticText 3.79
    StaticText %
    StaticText RAG + Claude 3 Opus
    StaticText 3.44
    StaticText %
    StaticText Devin*
    StaticText 1.96
    StaticText %
    StaticText RAG + Claude 2
    StaticText 1.31
    StaticText %
    StaticText RAG + GPT 4
    StaticText 0.7
    StaticText %
    StaticText RAG + SWE-Llama 13B
    StaticText 0.17
    StaticText %
    StaticText RAG + ChatGPT 3.5
    StaticText * Read about our findings and analysis in our
    link technical report, url='https://cosine.sh/blog/genie-technical-report'
    heading Powered by OpenAI Experimental Access Program
    heading
        list
            listitem
                image
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    image C, url='https://cosine.sh/assets/cosine-c-black.png'
    heading Data-Driven Autonomy
    paragraph
        StaticText Genie’s unparalleled software intuition comes from embedding human reasoning directly into its training data
    link Learn More, url='https://cosine.sh/genie'
        image
    heading Access the power of Genie
    paragraph
        StaticText We’re excited to see all the creative ways you use Genie, if you’d like to try Genie on your own projects please tell us what you are building.
    link Get Access, url='https://go.cosine.sh/get-genie'
    heading Genie is the highest scoring software engineering model
    link Technical Report, url='https://cosine.sh/blog/genie-technical-report'
        image
    contentinfo
        image C, url='https://cosine.sh/assets/cosine-c-black.png'
        StaticText COSINE
        link Terms, url='https://cosine.sh/legal/terms'
        button Contact Us
        button Careers
            link Careers, url='https://app.dover.io/jobs/cosine'
        link Twitter, url='https://go.cosine.sh/twitter'
            image Twitter, url='https://cosine.sh/_astro/x.BCpZt-mX.png'

RootWebArea Genie: SOTA Software engineering model | Cosine - Human Reasoning Lab, focused, url='https://cosine.sh/genie'
    navigation
        [41] link Home, center=(702,56), inner_text=COSINE, url='https://cosine.sh/'
            image C, url='https://cosine.sh/assets/cosine-c-black.png'
            StaticText COSINE
Show more 
        [46] link Genie, center=(840,56), url='https://cosine.sh/genie'
        [47] link Blog, center=(926,56), url='https://cosine.sh/blog'
        [48] link About Us, center=(1026,56), url='https://cosine.sh/about'
        [50] link Join Waitlist, center=(1198,56), url='https://cosine.sh/register'
    [57] link ✨ Introducing Genie, an AI software engineering model, center=(960,128), url='https://cosine.sh/genie'
    heading World's best AI Software Engineer
    paragraph
        StaticText Genie is the best AI software engineer in the world by far - achieving a
        StaticText 30% eval score
        StaticText on the industry standard benchmark
        [66] link SWE-Bench, center=(624,524), url='https://arxiv.org/abs/2310.06770'
        StaticText .
    paragraph
        StaticText Genie is able to solve bugs, build features, refactor code, and everything in between either fully autonomously or paired with the user, like working with a colleague, not just a copilot.
    paragraph
        StaticText If you wish to talk to us about our model
        [69] button feel free to reach out., center=(626,666)
    [a] Iframe YouTube video player, center=(1344,515), title=YouTube video player
        RootWebArea Introducing Genie - YouTube, url='https://www.youtube.com/embed/7XrTkhaI4zs?si=5ANRfSXbmbS31Lzp&vq=hd1080&enablejsapi=1&origin=https://cosine.sh'
            [a31] link Photo image of Cosine, center=(1017,345)
            [a39] link Introducing Genie, center=(1335,345), url='https://www.youtube.com/watch?v=7XrTkhaI4zs'
            [a56] button Share, center=(1658,343), hasPopup='menu'
                image
            [a92] button Play, center=(1344,515)
                image
            generic, atomic
            [a320] link Watch on YouTube, center=(1071,689), url='https://www.youtube.com/watch?v=7XrTkhaI4zs&embeds_referring_euri=https%3A%2F%2Fcosine.sh%2F&embeds_referring_origin=https%3A%2F%2Fcosine.sh'
    StaticText State of the art
    heading Genie has the highest score in the world on SWE-Bench
    paragraph
        StaticText SWE Bench is a comprehensive benchmark designed to evaluate the coding abilities of large language models across various software engineering tasks
    StaticText 30.08
    StaticText %
    StaticText Cosine Genie
    StaticText 19.27
    StaticText %
    StaticText Factory Code Droid
    StaticText 18.83
    StaticText %
    StaticText AutoCodeRover
    StaticText 14.6
    StaticText %
    StaticText AppMap Navie
    StaticText 13.82
    StaticText %
    StaticText Amazon Q Developer
    StaticText 13.8
    StaticText %
    StaticText Devin (claimed)
    StaticText 12.47
    StaticText %
    StaticText SWE-agent + GPT 4
    StaticText 10.51
    StaticText %
    StaticText SWE-agent + Claude 3 Opus
    StaticText 3.79
    StaticText %
    StaticText RAG + Claude 3 Opus
    StaticText 3.44
    StaticText %
    StaticText Devin*
    StaticText 1.96
    StaticText %
    StaticText RAG + Claude 2
    StaticText 1.31
    StaticText %
    StaticText RAG + GPT 4
    StaticText 0.7
    StaticText %
    StaticText RAG + SWE-Llama 13B
    StaticText 0.17
    StaticText %
    StaticText RAG + ChatGPT 3.5
    StaticText * Read about our findings and analysis in our
    link technical report, url='https://cosine.sh/blog/genie-technical-report'
    heading Seamless GitHub Issue Integration
    paragraph
        StaticText Genie streamlines your workflow by directly integrating with your GitHub issue tracker. By importing issues, Genie ensures it fully understands the specific tasks and objectives. This integration allows Genie to create a detailed specification of work based on the issue's requirements, reducing manual input and enabling it to immediately tackle complex problems directly from your GitHub issues.
    image
    StaticText Github Issue
    image
    StaticText cosineai/monorepo
    paragraph
        StaticText Issue #2732
        StaticText 26 Jul 2024
    heading Create a new page under the website folder announcing our new model
    heading Objective:
    paragraph
        StaticText Develop a new page on the website to showcase our new State-of-the-Art (SOTA) model. The page should be visually engaging and aligned with our brand aesthetics.
    heading Key Features:
    heading Header Section:
    list
        listitem
            ListMarker •
            heading Title & Description:
            paragraph
                StaticText Create a heading title to introduce the SOTA model.
            paragraph
                StaticText Add a brief description below the title to provide an overview of the model's capabilities and significance.
        listitem
            ListMarker •
            heading YouTube Video Embed:
            paragraph
                StaticText Embed a YouTube video demo of the SOTA model on the right side of the header. Ensure the video is responsive and maintains aspect ratio across different devices.
    heading Content Section:
    list
        listitem
            ListMarker •
            heading Featured Text Boxes:
            paragraph
                StaticText Create left and right-aligned text boxes that feature key highlights and benefits of the SOTA model.
            paragraph
                StaticText Each text box should have a corresponding animated React component beside it to enhance visual appeal and interactivity.
        listitem
            ListMarker •
            heading Brand Gradient Background:
            paragraph
                StaticText Apply our brand gradient to the top side of the background, ensuring it appears behind the navigation bar. This gradient should seamlessly blend into the rest of the page background.
    heading Data Driven Autonomy
    paragraph
        StaticText By training our models with a dataset that codifies human reasoning rather than simply prompting base models, we have seen that we're no longer just generating random code until some works, it's tackling problems like a human.
    link Technical Report, url='https://cosine.sh/blog/genie-technical-report'
        image
    heading Access the power of Genie
    paragraph
        StaticText We’re excited to see all the creative ways you use Genie, if you’d like to try Genie on your own projects please tell us what you are building.
    link Get Access, url='https://go.cosine.sh/get-genie'
    heading Genie is the highest scoring software engineering model
    link Technical Report, url='https://cosine.sh/blog/genie-technical-report'
        image
    contentinfo
        image C, url='https://cosine.sh/assets/cosine-c-black.png'
        StaticText COSINE
        link Terms, url='https://cosine.sh/legal/terms'
        button Contact Us
        button Careers
            link Careers, url='https://app.dover.io/jobs/cosine'
        link Twitter, url='https://go.cosine.sh/twitter'
            image Twitter, url='https://cosine.sh/_astro/x.BCpZt-mX.png'

Reasoning for action: I chose to click on the Genie link because it directly corresponds to the user's desire to explore the capabilities and details of the Genie AI model. This action takes me to the dedicated page for Genie, which will likely contain essential information such as performance benchmarks and features that can help improve software engineering tasks, aligning with the user's goals.

Action: click(45) # Click on the Genie link to explore more about the AI software engineering model.

Change Description: After clicking the Genie link, the browser navigated to the Genie page, which is focused on presenting the AI software engineering model, resulting in a new title update to 'Genie: SOTA Software engineering model' and a revised layout including headings and descriptive text about Genie, along with integrated YouTube video and various features related to the model.

Screenshot before:Screenshot after:---

Step 2:

Url (before/after):

https://cosine.sh/genie

https://cosine.sh/genie

Content (before/after): 

RootWebArea Genie: SOTA Software engineering model | Cosine - Human Reasoning Lab, focused, url='https://cosine.sh/genie'
    navigation
        [41] link Home, center=(702,56), inner_text=COSINE, url='https://cosine.sh/'
            image C, url='https://cosine.sh/assets/cosine-c-black.png'
            StaticText COSINE
Show more 
        [46] link Genie, center=(840,56), url='https://cosine.sh/genie'
        [47] link Blog, center=(926,56), url='https://cosine.sh/blog'
        [48] link About Us, center=(1026,56), url='https://cosine.sh/about'
        [50] link Join Waitlist, center=(1198,56), url='https://cosine.sh/register'
    [57] link ✨ Introducing Genie, an AI software engineering model, center=(960,128), url='https://cosine.sh/genie'
    heading World's best AI Software Engineer
    paragraph
        StaticText Genie is the best AI software engineer in the world by far - achieving a
        StaticText 30% eval score
        StaticText on the industry standard benchmark
        [66] link SWE-Bench, center=(624,524), url='https://arxiv.org/abs/2310.06770'
        StaticText .
    paragraph
        StaticText Genie is able to solve bugs, build features, refactor code, and everything in between either fully autonomously or paired with the user, like working with a colleague, not just a copilot.
    paragraph
        StaticText If you wish to talk to us about our model
        [69] button feel free to reach out., center=(626,666)
    [a] Iframe YouTube video player, center=(1344,515), title=YouTube video player
        RootWebArea Introducing Genie - YouTube, url='https://www.youtube.com/embed/7XrTkhaI4zs?si=5ANRfSXbmbS31Lzp&vq=hd1080&enablejsapi=1&origin=https://cosine.sh'
            [a31] link Photo image of Cosine, center=(1017,345)
            [a39] link Introducing Genie, center=(1335,345), url='https://www.youtube.com/watch?v=7XrTkhaI4zs'
            [a56] button Share, center=(1658,343), hasPopup='menu'
                image
            [a92] button Play, center=(1344,515)
                image
            generic, atomic
            [a320] link Watch on YouTube, center=(1071,689), url='https://www.youtube.com/watch?v=7XrTkhaI4zs&embeds_referring_euri=https%3A%2F%2Fcosine.sh%2F&embeds_referring_origin=https%3A%2F%2Fcosine.sh'
    StaticText State of the art
    heading Genie has the highest score in the world on SWE-Bench
    paragraph
        StaticText SWE Bench is a comprehensive benchmark designed to evaluate the coding abilities of large language models across various software engineering tasks
    StaticText 30.08
    StaticText %
    StaticText Cosine Genie
    StaticText 19.27
    StaticText %
    StaticText Factory Code Droid
    StaticText 18.83
    StaticText %
    StaticText AutoCodeRover
    StaticText 14.6
    StaticText %
    StaticText AppMap Navie
    StaticText 13.82
    StaticText %
    StaticText Amazon Q Developer
    StaticText 13.8
    StaticText %
    StaticText Devin (claimed)
    StaticText 12.47
    StaticText %
    StaticText SWE-agent + GPT 4
    StaticText 10.51
    StaticText %
    StaticText SWE-agent + Claude 3 Opus
    StaticText 3.79
    StaticText %
    StaticText RAG + Claude 3 Opus
    StaticText 3.44
    StaticText %
    StaticText Devin*
    StaticText 1.96
    StaticText %
    StaticText RAG + Claude 2
    StaticText 1.31
    StaticText %
    StaticText RAG + GPT 4
    StaticText 0.7
    StaticText %
    StaticText RAG + SWE-Llama 13B
    StaticText 0.17
    StaticText %
    StaticText RAG + ChatGPT 3.5
    StaticText * Read about our findings and analysis in our
    link technical report, url='https://cosine.sh/blog/genie-technical-report'
    heading Seamless GitHub Issue Integration
    paragraph
        StaticText Genie streamlines your workflow by directly integrating with your GitHub issue tracker. By importing issues, Genie ensures it fully understands the specific tasks and objectives. This integration allows Genie to create a detailed specification of work based on the issue's requirements, reducing manual input and enabling it to immediately tackle complex problems directly from your GitHub issues.
    image
    StaticText Github Issue
    image
    StaticText cosineai/monorepo
    paragraph
        StaticText Issue #2732
        StaticText 26 Jul 2024
    heading Create a new page under the website folder announcing our new model
    heading Objective:
    paragraph
        StaticText Develop a new page on the website to showcase our new State-of-the-Art (SOTA) model. The page should be visually engaging and aligned with our brand aesthetics.
    heading Key Features:
    heading Header Section:
    list
        listitem
            ListMarker •
            heading Title & Description:
            paragraph
                StaticText Create a heading title to introduce the SOTA model.
            paragraph
                StaticText Add a brief description below the title to provide an overview of the model's capabilities and significance.
        listitem
            ListMarker •
            heading YouTube Video Embed:
            paragraph
                StaticText Embed a YouTube video demo of the SOTA model on the right side of the header. Ensure the video is responsive and maintains aspect ratio across different devices.
    heading Content Section:
    list
        listitem
            ListMarker •
            heading Featured Text Boxes:
            paragraph
                StaticText Create left and right-aligned text boxes that feature key highlights and benefits of the SOTA model.
            paragraph
                StaticText Each text box should have a corresponding animated React component beside it to enhance visual appeal and interactivity.
        listitem
            ListMarker •
            heading Brand Gradient Background:
            paragraph
                StaticText Apply our brand gradient to the top side of the background, ensuring it appears behind the navigation bar. This gradient should seamlessly blend into the rest of the page background.
    heading Data Driven Autonomy
    paragraph
        StaticText By training our models with a dataset that codifies human reasoning rather than simply prompting base models, we have seen that we're no longer just generating random code until some works, it's tackling problems like a human.
    link Technical Report, url='https://cosine.sh/blog/genie-technical-report'
        image
    heading Access the power of Genie
    paragraph
        StaticText We’re excited to see all the creative ways you use Genie, if you’d like to try Genie on your own projects please tell us what you are building.
    link Get Access, url='https://go.cosine.sh/get-genie'
    heading Genie is the highest scoring software engineering model
    link Technical Report, url='https://cosine.sh/blog/genie-technical-report'
        image
    contentinfo
        image C, url='https://cosine.sh/assets/cosine-c-black.png'
        StaticText COSINE
        link Terms, url='https://cosine.sh/legal/terms'
        button Contact Us
        button Careers
            link Careers, url='https://app.dover.io/jobs/cosine'
        link Twitter, url='https://go.cosine.sh/twitter'
            image Twitter, url='https://cosine.sh/_astro/x.BCpZt-mX.png'

RootWebArea Genie: SOTA Software engineering model | Cosine - Human Reasoning Lab, focused, url='https://cosine.sh/genie'
    navigation
        [41] link Home, center=(702,56), inner_text=COSINE, url='https://cosine.sh/'
            image C, url='https://cosine.sh/assets/cosine-c-black.png'
            StaticText COSINE
Show more 
        [46] link Genie, center=(840,56), url='https://cosine.sh/genie'
        [47] link Blog, center=(926,56), url='https://cosine.sh/blog'
        [48] link About Us, center=(1026,56), url='https://cosine.sh/about'
        [50] link Join Waitlist, center=(1198,56), url='https://cosine.sh/register'
    [57] link ✨ Introducing Genie, an AI software engineering model, center=(960,128), url='https://cosine.sh/genie'
    heading World's best AI Software Engineer
    paragraph
        StaticText Genie is the best AI software engineer in the world by far - achieving a
        StaticText 30% eval score
        StaticText on the industry standard benchmark
        [66] link SWE-Bench, center=(624,524), url='https://arxiv.org/abs/2310.06770'
        StaticText .
    paragraph
        StaticText Genie is able to solve bugs, build features, refactor code, and everything in between either fully autonomously or paired with the user, like working with a colleague, not just a copilot.
    paragraph
        StaticText If you wish to talk to us about our model
        [69] button feel free to reach out., center=(626,666)
    [a] Iframe YouTube video player, center=(1344,515), title=YouTube video player
        RootWebArea Introducing Genie - YouTube, url='https://www.youtube.com/embed/7XrTkhaI4zs?si=5ANRfSXbmbS31Lzp&vq=hd1080&enablejsapi=1&origin=https://cosine.sh'
            [a31] link Photo image of Cosine, center=(1017,345)
            [a39] link Introducing Genie, center=(1335,345), url='https://www.youtube.com/watch?v=7XrTkhaI4zs'
            [a56] button Share, center=(1658,343), hasPopup='menu'
                image
            [a92] button Play, center=(1344,515)
                image
            generic, atomic
            [a320] link Watch on YouTube, center=(1071,689), url='https://www.youtube.com/watch?v=7XrTkhaI4zs&embeds_referring_euri=https%3A%2F%2Fcosine.sh%2F&embeds_referring_origin=https%3A%2F%2Fcosine.sh'
    StaticText State of the art
    heading Genie has the highest score in the world on SWE-Bench
    paragraph
        StaticText SWE Bench is a comprehensive benchmark designed to evaluate the coding abilities of large language models across various software engineering tasks
    StaticText 30.08
    StaticText %
    StaticText Cosine Genie
    StaticText 19.27
    StaticText %
    StaticText Factory Code Droid
    StaticText 18.83
    StaticText %
    StaticText AutoCodeRover
    StaticText 14.6
    StaticText %
    StaticText AppMap Navie
    StaticText 13.82
    StaticText %
    StaticText Amazon Q Developer
    StaticText 13.8
    StaticText %
    StaticText Devin (claimed)
    StaticText 12.47
    StaticText %
    StaticText SWE-agent + GPT 4
    StaticText 10.51
    StaticText %
    StaticText SWE-agent + Claude 3 Opus
    StaticText 3.79
    StaticText %
    StaticText RAG + Claude 3 Opus
    StaticText 3.44
    StaticText %
    StaticText Devin*
    StaticText 1.96
    StaticText %
    StaticText RAG + Claude 2
    StaticText 1.31
    StaticText %
    StaticText RAG + GPT 4
    StaticText 0.7
    StaticText %
    StaticText RAG + SWE-Llama 13B
    StaticText 0.17
    StaticText %
    StaticText RAG + ChatGPT 3.5
    StaticText * Read about our findings and analysis in our
    link technical report, url='https://cosine.sh/blog/genie-technical-report'
    heading Seamless GitHub Issue Integration
    paragraph
        StaticText Genie streamlines your workflow by directly integrating with your GitHub issue tracker. By importing issues, Genie ensures it fully understands the specific tasks and objectives. This integration allows Genie to create a detailed specification of work based on the issue's requirements, reducing manual input and enabling it to immediately tackle complex problems directly from your GitHub issues.
    image
    StaticText Github Issue
    image
    StaticText cosineai/monorepo
    paragraph
        StaticText Issue #2732
        StaticText 26 Jul 2024
    heading Create a new page under the website folder announcing our new model
    heading Objective:
    paragraph
        StaticText Develop a new page on the website to showcase our new State-of-the-Art (SOTA) model. The page should be visually engaging and aligned with our brand aesthetics.
    heading Key Features:
    heading Header Section:
    list
        listitem
            ListMarker •
            heading Title & Description:
            paragraph
                StaticText Create a heading title to introduce the SOTA model.
            paragraph
                StaticText Add a brief description below the title to provide an overview of the model's capabilities and significance.
        listitem
            ListMarker •
            heading YouTube Video Embed:
            paragraph
                StaticText Embed a YouTube video demo of the SOTA model on the right side of the header. Ensure the video is responsive and maintains aspect ratio across different devices.
    heading Content Section:
    list
        listitem
            ListMarker •
            heading Featured Text Boxes:
            paragraph
                StaticText Create left and right-aligned text boxes that feature key highlights and benefits of the SOTA model.
            paragraph
                StaticText Each text box should have a corresponding animated React component beside it to enhance visual appeal and interactivity.
        listitem
            ListMarker •
            heading Brand Gradient Background:
            paragraph
                StaticText Apply our brand gradient to the top side of the background, ensuring it appears behind the navigation bar. This gradient should seamlessly blend into the rest of the page background.
    heading Data Driven Autonomy
    paragraph
        StaticText By training our models with a dataset that codifies human reasoning rather than simply prompting base models, we have seen that we're no longer just generating random code until some works, it's tackling problems like a human.
    link Technical Report, url='https://cosine.sh/blog/genie-technical-report'
        image
    heading Access the power of Genie
    paragraph
        StaticText We’re excited to see all the creative ways you use Genie, if you’d like to try Genie on your own projects please tell us what you are building.
    link Get Access, url='https://go.cosine.sh/get-genie'
    heading Genie is the highest scoring software engineering model
    link Technical Report, url='https://cosine.sh/blog/genie-technical-report'
        image
    contentinfo
        image C, url='https://cosine.sh/assets/cosine-c-black.png'
        StaticText COSINE
        link Terms, url='https://cosine.sh/legal/terms'
        button Contact Us
        button Careers
            link Careers, url='https://app.dover.io/jobs/cosine'
        link Twitter, url='https://go.cosine.sh/twitter'
            image Twitter, url='https://cosine.sh/_astro/x.BCpZt-mX.png'

Reasoning for action: By clicking on the YouTube video link (39), I am directly engaging with the resource that contains a detailed visual and auditory introduction to the Genie AI model. This supports the user in understanding the model's performance and functionalities, which is critical for their decision-making. The introduction video is likely to provide insights that complement the textual information already available on the Cosine homepage, thus advancing the user's exploration of Genie.

Action: click(39) # Click on the YouTube link to watch the introduction video about Genie.

Change Description: After clicking the YouTube link, the browser changed to display an embedded YouTube video player showcasing the introduction video about Genie, allowing the user to watch the video directly on the webpage.

Screenshot before:Screenshot after:---

Step 3:

Url (before/after):

https://cosine.sh/genie

https://arxiv.org/abs/2310.06770

Content (before/after): 

RootWebArea Genie: SOTA Software engineering model | Cosine - Human Reasoning Lab, focused, url='https://cosine.sh/genie'
    navigation
        [41] link Home, center=(702,56), inner_text=COSINE, url='https://cosine.sh/'
            image C, url='https://cosine.sh/assets/cosine-c-black.png'
            StaticText COSINE
Show more 
        [46] link Genie, center=(840,56), url='https://cosine.sh/genie'
        [47] link Blog, center=(926,56), url='https://cosine.sh/blog'
        [48] link About Us, center=(1026,56), url='https://cosine.sh/about'
        [50] link Join Waitlist, center=(1198,56), url='https://cosine.sh/register'
    [57] link ✨ Introducing Genie, an AI software engineering model, center=(960,128), url='https://cosine.sh/genie'
    heading World's best AI Software Engineer
    paragraph
        StaticText Genie is the best AI software engineer in the world by far - achieving a
        StaticText 30% eval score
        StaticText on the industry standard benchmark
        [66] link SWE-Bench, center=(624,524), url='https://arxiv.org/abs/2310.06770'
        StaticText .
    paragraph
        StaticText Genie is able to solve bugs, build features, refactor code, and everything in between either fully autonomously or paired with the user, like working with a colleague, not just a copilot.
    paragraph
        StaticText If you wish to talk to us about our model
        [69] button feel free to reach out., center=(626,666)
    [a] Iframe YouTube video player, center=(1344,515), title=YouTube video player
        RootWebArea Introducing Genie - YouTube, url='https://www.youtube.com/embed/7XrTkhaI4zs?si=5ANRfSXbmbS31Lzp&vq=hd1080&enablejsapi=1&origin=https://cosine.sh'
            [a31] link Photo image of Cosine, center=(1017,345)
            [a39] link Introducing Genie, center=(1335,345), url='https://www.youtube.com/watch?v=7XrTkhaI4zs'
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    StaticText State of the art
    heading Genie has the highest score in the world on SWE-Bench
    paragraph
        StaticText SWE Bench is a comprehensive benchmark designed to evaluate the coding abilities of large language models across various software engineering tasks
    StaticText 30.08
    StaticText %
    StaticText Cosine Genie
    StaticText 19.27
    StaticText %
    StaticText Factory Code Droid
    StaticText 18.83
    StaticText %
    StaticText AutoCodeRover
    StaticText 14.6
    StaticText %
    StaticText AppMap Navie
    StaticText 13.82
    StaticText %
    StaticText Amazon Q Developer
    StaticText 13.8
    StaticText %
    StaticText Devin (claimed)
    StaticText 12.47
    StaticText %
    StaticText SWE-agent + GPT 4
    StaticText 10.51
    StaticText %
    StaticText SWE-agent + Claude 3 Opus
    StaticText 3.79
    StaticText %
    StaticText RAG + Claude 3 Opus
    StaticText 3.44
    StaticText %
    StaticText Devin*
    StaticText 1.96
    StaticText %
    StaticText RAG + Claude 2
    StaticText 1.31
    StaticText %
    StaticText RAG + GPT 4
    StaticText 0.7
    StaticText %
    StaticText RAG + SWE-Llama 13B
    StaticText 0.17
    StaticText %
    StaticText RAG + ChatGPT 3.5
    StaticText * Read about our findings and analysis in our
    link technical report, url='https://cosine.sh/blog/genie-technical-report'
    heading Seamless GitHub Issue Integration
    paragraph
        StaticText Genie streamlines your workflow by directly integrating with your GitHub issue tracker. By importing issues, Genie ensures it fully understands the specific tasks and objectives. This integration allows Genie to create a detailed specification of work based on the issue's requirements, reducing manual input and enabling it to immediately tackle complex problems directly from your GitHub issues.
    image
    StaticText Github Issue
    image
    StaticText cosineai/monorepo
    paragraph
        StaticText Issue #2732
        StaticText 26 Jul 2024
    heading Create a new page under the website folder announcing our new model
    heading Objective:
    paragraph
        StaticText Develop a new page on the website to showcase our new State-of-the-Art (SOTA) model. The page should be visually engaging and aligned with our brand aesthetics.
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                StaticText Create a heading title to introduce the SOTA model.
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            ListMarker •
            heading YouTube Video Embed:
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                StaticText Embed a YouTube video demo of the SOTA model on the right side of the header. Ensure the video is responsive and maintains aspect ratio across different devices.
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    list
        listitem
            ListMarker •
            heading Featured Text Boxes:
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                StaticText Create left and right-aligned text boxes that feature key highlights and benefits of the SOTA model.
            paragraph
                StaticText Each text box should have a corresponding animated React component beside it to enhance visual appeal and interactivity.
        listitem
            ListMarker •
            heading Brand Gradient Background:
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                StaticText Apply our brand gradient to the top side of the background, ensuring it appears behind the navigation bar. This gradient should seamlessly blend into the rest of the page background.
    heading Data Driven Autonomy
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        StaticText By training our models with a dataset that codifies human reasoning rather than simply prompting base models, we have seen that we're no longer just generating random code until some works, it's tackling problems like a human.
    link Technical Report, url='https://cosine.sh/blog/genie-technical-report'
        image
    heading Access the power of Genie
    paragraph
        StaticText We’re excited to see all the creative ways you use Genie, if you’d like to try Genie on your own projects please tell us what you are building.
    link Get Access, url='https://go.cosine.sh/get-genie'
    heading Genie is the highest scoring software engineering model
    link Technical Report, url='https://cosine.sh/blog/genie-technical-report'
        image
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        link Twitter, url='https://go.cosine.sh/twitter'
            image Twitter, url='https://cosine.sh/_astro/x.BCpZt-mX.png'

RootWebArea [2310.06770] SWE-bench: Can Language Models Resolve Real-World GitHub Issues?, focused, url='https://arxiv.org/abs/2310.06770'
    complementary
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Show more 
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        [76] link I UNDERSTAND, center=(1753,48), url='https://arxiv.org/abs/2310.06770#'
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        [92] link arxiv logo, center=(55,135), url='https://arxiv.org/'
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    main
        heading Computer Science > Computation and Language
        StaticText [Submitted on 10 Oct 2023 (
        [172] link v1, center=(172,212), url='https://arxiv.org/abs/2310.06770v1'
        StaticText ), last revised 11 Nov 2024 (this version, v3)]
        heading SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
        [177] link Carlos E. Jimenez, center=(85,276), url='https://arxiv.org/search/cs?searchtype=author&query=Jimenez,+C+E'
        StaticText ,
        [178] link John Yang, center=(196,276), url='https://arxiv.org/search/cs?searchtype=author&query=Yang,+J'
        StaticText ,
        [179] link Alexander Wettig, center=(303,276), url='https://arxiv.org/search/cs?searchtype=author&query=Wettig,+A'
        StaticText ,
        [180] link Shunyu Yao, center=(415,276), url='https://arxiv.org/search/cs?searchtype=author&query=Yao,+S'
        StaticText ,
        [181] link Kexin Pei, center=(500,276), url='https://arxiv.org/search/cs?searchtype=author&query=Pei,+K'
        StaticText ,
        [182] link Ofir Press, center=(578,276), url='https://arxiv.org/search/cs?searchtype=author&query=Press,+O'
        StaticText ,
        [183] link Karthik Narasimhan, center=(693,276), url='https://arxiv.org/search/cs?searchtype=author&query=Narasimhan,+K'
        blockquote
            StaticText Language models have outpaced our ability to evaluate them effectively, but for their future development it is essential to study the frontier of their capabilities. We find real-world software engineering to be a rich, sustainable, and challenging testbed for evaluating the next generation of language models. To this end, we introduce SWE-bench, an evaluation framework consisting of
            StaticText 2
            StaticText ,
            StaticText 294
            StaticText software engineering problems drawn from real GitHub issues and corresponding pull requests across
            StaticText 12
            StaticText popular Python repositories. Given a codebase along with a description of an issue to be resolved, a language model is tasked with editing the codebase to address the issue. Resolving issues in SWE-bench frequently requires understanding and coordinating changes across multiple functions, classes, and even files simultaneously, calling for models to interact with execution environments, process extremely long contexts and perform complex reasoning that goes far beyond traditional code generation tasks. Our evaluations show that both state-of-the-art proprietary models and our fine-tuned model SWE-Llama can resolve only the simplest issues. The best-performing model, Claude 2, is able to solve a mere
            StaticText 1.96
            StaticText % of the issues. Advances on SWE-bench represent steps towards LMs that are more practical, intelligent, and autonomous.
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                    [225] cell Comments:, center=(55,462)
                    cell Data, code, and leaderboard are available at this https URL ICLR 2024, this https URL
                        [227] link this https URL, center=(361,461), url='https://www.swebench.com/'
                        [228] link this https URL, center=(499,461), url='https://openreview.net/forum?id=VTF8yNQM66'
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                    [230] cell Subjects:, center=(55,481)
                    [231] cell Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Software Engineering (cs.SE), center=(345,481)
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                    [234] cell Cite as:, center=(55,501)
                    cell arXiv:2310.06770 [cs.CL]
                        [237] link arXiv:2310.06770, center=(136,500), url='https://arxiv.org/abs/2310.06770'
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                    cell (or arXiv:2310.06770v3 [cs.CL] for this version)
                        [242] link arXiv:2310.06770v3, center=(160,520), url='https://arxiv.org/abs/2310.06770v3'
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                    [244] cell, center=(55,540), inner_text= 
                    cell https://doi.org/10.48550/arXiv.2310.06770 Focus to learn more
                        [246] link https://doi.org/10.48550/arXiv.2310.06770, center=(199,540), url='https://doi.org/10.48550/arXiv.2310.06770'
                        [248] button Focus to learn more, center=(318,540)
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        heading Submission history
        StaticText From: Carlos E. Jimenez [
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            [258] link [v1], center=(30,613), url='https://arxiv.org/abs/2310.06770v1'
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            [261] link [v2], center=(30,633), url='https://arxiv.org/abs/2310.06770v2'
        StaticText Fri, 5 Apr 2024 18:16:29 UTC (2,258 KB)
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            StaticText [v3]
        StaticText Mon, 11 Nov 2024 23:05:04 UTC (2,398 KB)
        heading Access Paper:
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                [273] link View PDF, center=(1733,220), url='https://arxiv.org/pdf/2310.06770'
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Reasoning for action: I clicked on the SWE-Bench link because the user's goal is to explore details related to the Genie AI model's performance benchmarks. By performing this action, I can access the arXiv page that contains comprehensive information about the SWE-Bench paper, which is critical for understanding how the Genie model is evaluated against industry standards. This directly addresses the user story's requirement to understand Genie’s performance metrics in the context of software engineering tasks.

Action: click(66) # Click on the SWE-Bench link to explore the benchmark details.

Change Description: The browser navigated from the Cosine website to the arXiv page for the paper titled 'SWE-bench: Can Language Models Resolve Real-World GitHub Issues?', changing the content displayed to metadata and details about the benchmark study, while refreshing the URL to 'https://arxiv.org/abs/2310.06770'.

Screenshot before:Screenshot after:---