Devin: The First AI Software Engineer - Builds & Deploy Apps End-to-End!

WorldofAI
12 Mar 202411:47

Summary

TLDRThe video script discusses significant advancements in the AI industry, highlighting the release of a groundbreaking AI chip by Princeton University, which is accompanied by substantial funding. Meta AI's engineers are developing a new generative AI infrastructure for Llama 3, while OpenAI is rumored to be releasing GPT 4.5 Turbo soon. The main focus is on Devin, the first AI software engineer by Cognition Labs, capable of autonomously learning, planning, and executing complex engineering tasks. Devin can use developer tools, collaborate with users, and has been tested on real-world GitHub issues, outperforming previous models. The video also mentions partnerships offering free AI tools subscriptions and encourages viewers to stay updated with the latest AI news.

Takeaways

  • 🚀 The AI industry has seen a significant advancement with the release of the fastest AI chip, developed by Princeton University and funded with $18 million.
  • 🔍 Meta AI's engineers are working on a new generative AI infrastructure for Llama 3, which is expected to be released sooner than anticipated.
  • 📈 OpenAI is reportedly launching GPT 4.5 Turbo in June, with rumors of it having a 256k token context, although this is yet to be fully confirmed.
  • 💡 Cognition Labs has introduced Devin, the world's first fully autonomous AI software engineer, capable of complex tasks and collaborations.
  • 🛠️ Devin's capabilities include making a step-by-step plan, building projects using standard tools, debugging, and deploying websites with full styling.
  • 📚 Devin can autonomously learn from blog posts and generate outputs like desktop background images with personalized messages.
  • 🤖 Devin serves as an invaluable teammate, able to work alongside humans or independently, taking on tasks such as those found on Upwork.
  • 📊 Devin's performance was assessed using the SWE Bench, where it resolved 13.86% of real-world GitHub issues, marking a significant improvement over previous models.
  • 💼 The AI software engineer has received substantial funding, with $21 million in Series A led by Founders Fund, and is available for hire.
  • 🎉 There have been remarkable partnerships with big companies offering free subscriptions to AI tools, available to Patreon subscribers.
  • 📝 The video also highlights the importance of staying updated with the latest AI news and developments, encouraging viewers to follow relevant sources.

Q & A

  • What is the significance of the AI chip released by Princeton University?

    -The AI chip released by Princeton University is significant because it is the fastest AI chip to date and has received substantial funding of $18 million. This development is a major milestone in the AI space.

  • What is the role of engineers at Meta AI in the context of the script?

    -Engineers at Meta AI are building a new generative AI infrastructure for Llama 3, which is expected to be released sooner than anticipated. Their work is part of the advancements in AI technology mentioned in the script.

  • What happened with Open AI's GPT 4.5 Turbo?

    -Open AI experienced a significant leak with GPT 4.5 Turbo, which is also expected to be released sooner than expected, supposedly in June. There is a blog post about it, although not fully uploaded yet, and it has been rumored to have a 256k token context.

  • Who is the first AI software engineer introduced in the script?

    -The first AI software engineer introduced in the script is named Devin, developed by Cognition Labs. Devin is capable of performing tasks similar to a human software engineer.

  • What are some of the tools and capabilities that Devin, the AI software engineer, has?

    -Devin has its own command line, code editor, and browser. It can build and deploy websites with full styling, actively collaborate with users, leverage advanced long-term reasoning and planning capabilities, and provide real-time progress updates.

  • How does Devin approach problem-solving in software engineering tasks?

    -Devin makes a step-by-step plan to tackle problems, builds the project using the same tools a human software engineer would use, and can debug and fix bugs by adding debugging print statements and analyzing error logs.

  • What is the SWE Bench and how did Devin perform on it?

    -The SWE Bench is a coding benchmark that presents agents with real-world GitHub issues from open-source repositories. Devin was able to resolve 13.86% of the issues end-to-end, which is a significant improvement over the previous state-of-the-art performance of 1.96%.

  • What is the significance of the partnerships mentioned in the script?

    -The partnerships mentioned in the script are significant because they provide free subscriptions to AI tools that can streamline business growth and improve efficiency. Patreon members had access to seven paid subscriptions for free, along with consulting, networking, and collaboration opportunities.

  • How can viewers access the benefits and tools mentioned in the script?

    -Viewers can access the benefits and tools by following the Patreon link provided in the video description. This will give them access to the subscriptions, consulting, networking, collaboration, daily AI news, AI resources, and tools giveaways.

  • What is the current status of AI software engineers like Devin in the job market?

    -AI software engineers like Devin are being tested in real job scenarios on platforms like Upwork. They are capable of performing tasks autonomously and are seen as valuable teammates that can work alongside humans or independently.

  • How can viewers stay updated with the latest AI news and developments?

    -Viewers can stay updated with the latest AI news and developments by following the provided Twitter account and subscribing to the YouTube channel for regular updates on new software releases and AI tools.

Outlines

00:00

🚀 AI Advancements and the Introduction of Devin - The AI Software Engineer

This paragraph discusses recent milestones in the AI space, highlighting the release of a high-speed AI chip by Princeton University, which is a significant achievement funded to the tune of $18 million. It also mentions Meta AI's development of a new generative AI infrastructure for Llama 3, which is anticipated to be launched sooner than expected. Additionally, there's a mention of a substantial leak from OpenAI about GPT 4.5 turbo, rumored to have a 256k token context video. The main focus, however, is on the introduction of Devin, the first AI software engineer by Cognition Labs. Devin is showcased as capable of autonomously planning and executing complex engineering tasks, utilizing tools akin to those a human engineer would use, including a command line, code editor, and browser. The paragraph also briefly touches upon the partnerships with big companies offering free AI tool subscriptions to patrons.

05:01

🤖 Devin's Capabilities and Autonomous Learning Showcased

The second paragraph delves into the capabilities of Devin, the AI software engineer. It demonstrates Devin's ability to autonomously learn from a blog post and generate a personalized desktop background image. The video also illustrates Devin's capacity to build and deploy interactive web applications, such as a simulation of Conway's Game of Life, while incorporating user feedback and making real-time adjustments. Furthermore, it discusses Devin's performance on the SWE Bench, where it successfully resolved 13.86% of real-world GitHub issues, marking a notable improvement over previous models. The paragraph also mentions that Devin has been tested with real jobs on Upwork, emphasizing its practical applicability in professional settings.

10:02

📈 Funding and Future Prospects of Devin - The AI Software Engineer

The final paragraph touches on the funding behind Devin, with a Series A investment of $21 million led by Founders Fund. It suggests that individuals can potentially hire Devin for their projects, indicating a move towards commercial availability. The speaker expresses hope to feature Devin in a future video, providing a more in-depth look at the platform. The paragraph concludes with a reminder of the significance of the day's events in the AI industry and an invitation for viewers to follow the channel on Twitter for the latest AI news. It also encourages viewers to subscribe for updates on new software releases and AI tools.

Mindmap

Keywords

💡AI chip

An AI chip is a specialized hardware designed to accelerate the processing of artificial intelligence algorithms. In the context of the video, the release of the fastest AI chip by Princeton University signifies a major advancement in the field of AI, highlighting the increased computational power and efficiency required for complex AI tasks.

💡Funding

Funding in this context refers to the financial support received by a project or company. The video mentions $18 million in funding for the AI chip, emphasizing the significant investment made in advancing AI technology and the belief in its potential impact.

💡Generative AI

Generative AI refers to AI systems that can create new content, such as images, music, or text, that is similar to the content it has been trained on. The engineers at Meta AI are building a new generative AI infrastructure for 'Llama 3', indicating the development of more sophisticated AI models capable of producing varied and novel outputs.

💡Open AI

Open AI is a research and deployment company that aims to develop artificial general intelligence (AGI) in a way that benefits humanity as a whole. The video discusses a leak about 'GBT 4.5 Turbo', which is expected to be released by Open AI, suggesting the anticipation and progress in the field of AI development.

💡AI software engineer

An AI software engineer is a term used in the video to describe an AI system capable of performing tasks typically done by a human software engineer. Devin, the first AI software engineer introduced by Cognition Labs, can plan, execute complex tasks, and collaborate with users, signifying a shift towards more autonomous and integrated AI in professional settings.

💡Benchmarking

Benchmarking is the process of evaluating a system's performance by comparing it with predefined metrics or with the performance of other similar systems. In the video, Devin's capabilities are showcased through benchmarking against real-world GitHub issues, demonstrating its ability to autonomously resolve a significant percentage of these issues.

💡Long-term planning

Long-term planning refers to the ability to strategize and make decisions that will achieve goals over an extended period. The video emphasizes advancements in reasoning and long-term planning as key to the capabilities of AI systems like Devin, allowing them to execute complex tasks and make decisions with far-reaching implications.

💡SWE Bench

SWE Bench is a coding benchmark used to assess the performance of AI systems in software engineering tasks. The video mentions that Devin was assessed using the SWE Bench, which presented it with real-world GitHub issues, and it successfully resolved 13.86% of the issues, showcasing its autonomous problem-solving skills.

💡VC funding

VC funding stands for venture capital funding, which is a type of financing provided by firms or individuals to startups or other companies in exchange for equity or a stake in the company. The video states that the AI project has received $21 million in Series A funding led by Founders Fund, highlighting the financial backing and confidence in the potential of AI technology.

💡GitHub

GitHub is a web-based platform for version control and collaboration used by developers to manage and contribute to projects. The video discusses how Devin, the AI software engineer, can address bugs and feature requests in open source repositories within GitHub, indicating the integration of AI with prevalent development platforms.

💡Upwork

Upwork is a platform where businesses and individuals can hire freelancers for various tasks and projects. The video mentions that Devin was even given real jobs on Upwork, suggesting the extent to which AI can be integrated into the workforce and perform tasks traditionally done by humans.

Highlights

The release of the fastest AI chip by Princeton University with $18 million in funding.

Meta AI engineers are building a new generative AI infrastructure for Llama 3, which is expected to come sooner than anticipated.

OpenAI's significant leak of GPT 4.5 Turbo, rumored to be released in June with a 256k token context.

Cognition Labs introduces Devin, the first AI software engineer, capable of autonomously performing complex engineering tasks.

Devin can create a step-by-step plan, build projects using standard tools, and has its own command line, code editor, and browser.

Devin encountered an unexpected error and autonomously debugged it using a print statement and error logs.

Devin built and deployed a fully styled website as a visualization, showcasing its capabilities in long-term planning and reasoning.

Insane partnerships with big companies offering free subscriptions to AI tools for Patreon subscribers.

Devin's ability to learn from blog posts and generate images with concealed messages for users.

Devin's capability to build and deploy apps end-to-end, creating interactive websites like the game of life simulation.

Devin's performance on the SWE Bench, resolving 13.86% of real-world GitHub issues, a significant improvement over previous models.

Devin's autonomous problem-solving capabilities highlighted by its success in resolving issues without guidance on which files to edit.

Funding for Cognition Labs' AI software engineer, Devin, includes $21 million in Series A led by Founders Fund.

Opportunities for individuals and companies to hire Devin for real-world applications.

The potential for Devin to contribute to mature production repositories on GitHub and address bugs and feature requests.

Devin's trial with real jobs on Upwork, demonstrating its ability to perform certain tasks autonomously.

The provision of free access to AI tools and resources through Patreon, including consulting, networking, and collaboration opportunities.

The continuous release of new AI software and tools, keeping the community updated with the latest advancements in the field.

Transcripts

play00:00

I know this does not relate to today's

play00:01

video but what an amazing day in the AI

play00:04

space we got the release of the fastest

play00:07

AI chip with $18 million in funding this

play00:10

is by Princeton University and it's

play00:12

truly amazing engineers at meta AI are

play00:16

building a new generative AI

play00:18

infrastructure for llama 3 which is

play00:20

coming sooner than expected now open AI

play00:23

had a huge Leak with gbt 4.5 turbo

play00:26

coming sooner than expected as well it

play00:28

supposedly is coming out in June and

play00:30

there's already a blog post if you

play00:32

search with duck. go for GPT 4.5 turbo

play00:36

but it's not fully uploaded yet and it

play00:38

actually had been rumored to have

play00:41

256k token context video but nothing is

play00:44

fully confirmed yet and to top it off we

play00:47

now have the first AI software engineer

play00:50

named Devin by cognition Labs which is

play00:52

today's topic just take a look at this

play00:57

video hey I'm Scott from cognition Ai

play01:00

and today I'm really excited to

play01:01

introduce you to Devon the first AI

play01:04

software engineer let me show you an

play01:06

example of Deon in

play01:09

action I'm going to ask Devon to

play01:10

Benchmark the performance of llama and a

play01:12

couple different API

play01:13

providers from now on Devon is in the

play01:16

driver's

play01:16

seat first Devon makes a step-by-step

play01:19

plan of how to tackle the

play01:22

problem after that it builds the whole

play01:24

project using all the same tools that a

play01:25

human software engineer would use Devon

play01:28

has its own command line

play01:32

its own code

play01:34

editor and even its own

play01:37

browser in this case Devon decides to

play01:39

use the browser to pull up API

play01:41

documentation so that it can read up and

play01:42

learn how to plug into each of these

play01:47

apis here Devon runs into an unexpected

play01:54

error Devon actually decides to add a

play01:56

debugging print

play01:58

statement reruns the code with the

play02:00

debugging print statement and then uses

play02:03

the error in the logs to figure out how

play02:05

to fix the

play02:09

bug finally Devon decides to build and

play02:12

deploy a website with full styling as

play02:13

the

play02:15

visualization you can see the website

play02:19

here all of this is possible today

play02:21

because of the advancements that we've

play02:22

made in both reasoning and long-term

play02:24

planning it's a really hard problem and

play02:26

we've only just started but we're super

play02:28

excited about the progress of we've made

play02:30

so far sorry for being repetitive but

play02:33

this month we had insane Partnerships

play02:35

with big companies giving out

play02:36

subscriptions to AI tools completely for

play02:38

free these are tools that will

play02:40

streamline your business's growth and

play02:42

improve your efficiency just being a

play02:44

patreon this past month you were given

play02:46

access to seven paid subscriptions

play02:47

completely for free not only do you

play02:50

access these subscriptions but you gain

play02:51

the ability for Consulting networking

play02:54

collaboration with the community as well

play02:56

as with myself daily AI news AI

play02:58

resources and tools giveaways and so

play03:00

much more if you're interested take a

play03:02

look at the patreon link in the

play03:03

description below to gain access to

play03:05

these benefits that was simply

play03:08

remarkable I've never seen something

play03:10

like this and it's something that we're

play03:11

going to take a look at throughout

play03:12

today's video in short this is the

play03:15

world's first fully autonomous AI

play03:18

software engineer that is able to do so

play03:20

much and it's something that we're going

play03:21

to take a look at as we go further into

play03:23

the video so with that thought guys stay

play03:25

tuned and let's get straight to it if

play03:27

you would like to book a one-on-one with

play03:29

me where you can access my Consulting

play03:31

Services where I can help you grow your

play03:33

business or basically give you a lot of

play03:36

different types of solutions with AI

play03:38

definitely take a look at the calendar

play03:40

Link in the description

play03:44

below hey what is up guys welcome back

play03:47

to another YouTube video at the world of

play03:49

AI in today's video we're going to be

play03:50

taking a look at the first AI software

play03:53

engineer which is Devin this is a

play03:56

revolutionized way to approach the field

play03:59

of engineering and this is by setting

play04:01

this new standard on thewe bench which

play04:04

is a coding Benchmark now this is the

play04:06

world's first fully autonomous AI

play04:09

software engineer we've seen many

play04:11

different applications or Frameworks

play04:13

develop some sort of AI software

play04:15

engineer prototype but this is something

play04:17

that is fully functional and it's fully

play04:19

Deployable now Devon serves as this

play04:22

invaluable teammate which is capable of

play04:25

working alongside with humans or it can

play04:27

work independently and this can be done

play04:29

done to have it so that Devon can be

play04:32

deployed to complete any sort of task

play04:34

even on upwork now with Devon's

play04:37

assistance you can basically have it so

play04:40

that it can focus on more challenging

play04:43

problems you can have it enabled for

play04:45

engineering teams so that it can pursue

play04:47

various sorts of goals within your own

play04:50

team setting its abilities include

play04:52

planning executing complex engineering

play04:54

tasks with thousands of decisions it's

play04:57

able to leverage Advanced long-term

play04:59

reasoning and planning capabilities and

play05:01

it's also equipped with essential

play05:03

developer tools and the ability to

play05:05

actively collaborate with the users

play05:08

whether that's other AI agents or with

play05:10

humans it's ensuring that there's a

play05:12

seamless workflow and it provides

play05:14

realtime progress Updates this is

play05:16

something that we're going to take a

play05:17

look at as we go further into the video

play05:19

Let's actually take a look at some

play05:20

capabilities of it now just take a look

play05:23

at this video which is going to Showcase

play05:25

how Devon can learn how to use

play05:27

unfamiliar Technologies now it's able to

play05:29

to read this blog post and Devon's able

play05:31

to run control net on the model to

play05:33

produce these images with a concealed

play05:36

message for the user which is Sarah just

play05:38

take a look hey everyone my name is

play05:41

Sarah and I'm going to show you how

play05:43

Devon our AI software engineer can

play05:45

autonomously learned from a blog post

play05:47

within a few minutes Devon successfully

play05:49

generated this desktop background image

play05:51

for me with my name on it so all I had

play05:54

to do was send this blog post in a

play05:56

message to Devon from there Devon

play05:58

actually does all the work for me me

play05:59

starting with reading this blog post and

play06:02

figuring out how to run the

play06:04

code in a couple minutes Devin's

play06:07

actually made a lot of progress and if

play06:09

we jump to the middle here you can see

play06:12

that Devon's been able to find and fix

play06:14

some edge cases and bugs that the blog

play06:17

post did not cover for me and if we jump

play06:19

to the end we can see that Devon uh

play06:22

sends me the final result which I love I

play06:25

also got two bonus images uh here and

play06:29

here

play06:30

so uh let me know if you guys see

play06:32

anything hidden in this now this is

play06:34

probably my favorite feature as Devon

play06:36

can build and deploy apps end to end

play06:39

it's able to make these interactive

play06:41

websites which is able to stimulate the

play06:43

game of life just take a look at this

play06:45

example which showcases this hi I'm Adan

play06:49

and today I felt like playing the game

play06:51

of life so I asked Evan to implement it

play06:53

for

play06:54

me Dev started by creating a new react

play06:57

application using the Shell and then it

play07:00

started writing some code through its

play07:02

editor after that it deployed the app

play07:05

through netlify let's check it

play07:09

up that seems nice um but there's a lot

play07:12

more features which I want to add so

play07:14

let's ask de to do this one at a

play07:19

time I want the words Devon to be

play07:22

written at the initialization screen

play07:24

instead of it being

play07:26

random then I want the word to be SL

play07:29

slightly bigger and the frame rate to be

play07:33

faster I also want him to fix a bug

play07:36

where the screen gets freezed after 3

play07:40

seconds let's see the progress dev has

play07:43

made so far you can see the diff and um

play07:48

the last diff shows that Devon just

play07:50

fixed the bug uh where the screen gets

play07:52

frozen after 3 seconds this seems

play07:54

reasonable to me so let's move

play07:58

on

play08:01

next I want Deon to increase the frame

play08:03

rate after 10

play08:05

seconds and also to make the website

play08:07

responsive to different window

play08:10

sizes also wanted to make it interactive

play08:13

so that when I click my mouse somewhere

play08:15

it should spawn a new

play08:19

block let's check out what Deon has made

play08:22

so

play08:25

far started with Deon which is what we

play08:27

asked for and when I click something it

play08:30

creates a new block as

play08:33

well that's

play08:35

fun um let's play around with

play08:38

it now we're not going to be going over

play08:41

every video but you can see that there's

play08:43

many other things that it's also able to

play08:45

do AI trains itself it's able to find

play08:48

fixes and it's able to fix it in the

play08:51

code base itself it can address bugs and

play08:53

features request in open source

play08:56

repositories within GitHub you're also

play08:58

having it able to contribute to mature

play09:01

production repositories and they even

play09:03

stated that we even tried giving Devon

play09:05

real jobs on upwork now this is

play09:08

something that I truly recommend you

play09:09

take a look at cuz it's absolutely

play09:11

insane as to how it's actually doing

play09:14

certain tasks on

play09:16

upwork now lastly let's take a look at

play09:19

Devon's performance this was assessed

play09:21

using the swe bench and it basically

play09:24

presented agents with real world GitHub

play09:27

issues this is from open source reposit

play09:29

stories and remarkably Devon was

play09:32

actually successfully able to resolve

play09:35

13.86% of the issues end to end which is

play09:39

a significant improvement over the

play09:41

previous state-ofthe-art performance

play09:43

which is just

play09:45

1.96% now even when it's provided with

play09:48

exact files edit the best previous

play09:51

models managed to resolve only 40 or

play09:54

sorry 4.8% of the issues now Devon

play09:58

actually achieved the level of success

play09:59

without any assistance it was able to do

play10:02

this fully autonomously which is just

play10:04

nuts and unlike other models that were

play10:07

guided on which files to edit this was

play10:10

exceptional to see the performance that

play10:12

was highlighted by Devon's capabilities

play10:15

in the autonomous problem solving field

play10:17

you can take a look at this this was

play10:19

shown in the first video it's just crazy

play10:21

to see that it's surpassing all the

play10:23

models in this bench and it's going to

play10:25

be able to do so much more when they

play10:27

fully release it now this is funded by a

play10:31

lot of amazing different VCS it has 21

play10:34

million in series a which is led by the

play10:37

foundation or Founders fund and they

play10:40

also are allowing people to hire Devon

play10:42

so if you're interested in using this

play10:44

you can reach out to them I've actually

play10:47

tried to get in touch with them

play10:48

hopefully I can and we can possibly even

play10:51

have a video which goes over the

play10:53

platform ourselves so that's basically

play10:56

it for today's video on cognitions Devin

play10:58

I hope you enjoyed it and you got some

play11:00

sort of value out of it I'm going to be

play11:01

leaving this blog post Link in the

play11:03

description below but just what a

play11:05

remarkable day in the AI space so many

play11:07

amazing like releases and so many new

play11:10

updates now I'll leave a link to the

play11:12

patreon link in the description below

play11:13

this is a great way for you to access

play11:15

amazing subscriptions completely for

play11:17

free make sure you follow us on Twitter

play11:19

if you haven't already this is a great

play11:20

way for you to stay up to date with the

play11:22

latest AI news and lastly make sure you

play11:24

guys subscribe so that you're up to date

play11:26

with the latest AI news like the

play11:28

releases of different different

play11:29

softwares as well as different AI tools

play11:32

like the ones that we mentioned

play11:33

throughout today's video so with that

play11:34

thought guys thank you guys so much for

play11:36

watching have an amazing day spread

play11:37

positivity and check out our previous

play11:39

videos so you can stay up to date with

play11:40

the latest AI news but with that thought

play11:42

guys have an amazing day spread

play11:44

positivity and I'll see you fairly

play11:45

shortly peace out f

Rate This

5.0 / 5 (0 votes)

Ähnliche Tags
AI ChipFundingPrinceton UniversityGenerative AIMeta AILlama 3Open AIGPT 4.5 TurboAI Software EngineerCognition LabsDevinSWE BenchGitHubUpworkAutonomous Problem SolvingEngineering InnovationAI ToolsAI NewsPatreon Subscriptions
Benötigen Sie eine Zusammenfassung auf Englisch?