The implications of this technology are profound. Currently, about 1% of the world's population are software developers. With AI tools like Copilot, this number is set to explode. By 2030, we anticipate over a billion developers on GitHub, as coding becomes a universal skill accessible to anyone with an idea, regardless of their technical background.This democratization of coding will have far-reaching effects on various industries and the global economy. As more people gain the ability to create software, we can expect a surge in innovation across all sectors.

The Future of Coding: A Billion Developers by 2030

The democratization of coding through AI has the potential to address longstanding disparities in access to technology and opportunity. Providing individuals from underrepresented communities with the tools and resources to develop software, we can empower them to participate more fully in the digital economy and shape the technologies that impact their lives. This inclusive approach to technology not only fosters diversity and equity but also drives innovation by tapping into a broader range of perspectives and experiences.

Bridging the Gap: Empowering Underrepresented Communities through AI-Driven Coding

Traditionally, building software has been daunting, requiring specialized knowledge to understand and write code. The process involves not just learning syntax and semantics but also grasping complex concepts such as algorithms, data structures, and design patterns. The complexity of programming languages, from early languages like Plankalkül and COBOL to modern ones like Python, has made software development seem inaccessible to many. These languages often require years of study and practical experience to master, creating a significant barrier to entry for aspiring developers.

The Daunting Complexity of Traditional Coding

The fusion of human and machine language through AI tools is breaking down the barriers to software development. Just as LEGO has made building accessible and enjoyable, AI is making coding simple and joyful. The future of software development is inclusive, creative, and limitless.This transformation is not just about making coding easier but about redefining who can participate in the digital revolution. As AI tools become more sophisticated, they will empower individuals from all walks of life to engage with technology in meaningful ways.

A New Era: Coding as Simple and Joyful as LEGO

Even more exciting is our new product, Copilot Workspace. This groundbreaking tool eliminates the need to write code entirely, revolutionizing the development process. Users can input tasks in natural language, and Copilot Workspace generates a detailed plan and writes the necessary code autonomously. This seamless integration allows for real-time feedback and live previews, making software development as intuitive as stacking LEGO bricks.With Copilot Workspace, the complexity of traditional coding is abstracted away, allowing users to focus solely on their creative vision.

Introducing Copilot Workspace: No Code, Just Ideas

While not everyone will become a professional software developer, the ability to create software will be within everyone's reach. Imagine artists designing interactive digital experiences, educators creating personalized learning tools, and entrepreneurs developing custom solutions for unique business challenges, all without needing to write a single line of traditional code. This newfound accessibility will break down barriers that previously restricted technological innovation to those with specialized training and education.

Democratizing Software Development: Creativity for All

To illustrate, Thomas Dohmke recently demonstrated creating a 3D LEGO brick on a web page using GitHub Copilot. By typing simple commands, Copilot provided code suggestions, allowing me to build a functional model without deep coding knowledge. This process showcased how Copilot interprets natural language prompts and translates them into complex code structures seamlessly. For example, when is typed "create a function to draw a LEGO brick," Copilot not only suggested the necessary JavaScript code but also optimized it for better performance and readability.

A Practical Demonstration: Building with Copilot

The capabilities of AI extend beyond just assisting developers. With large language models trained on vast amounts of human information, AI can understand and interpret nearly every major human language.This linguistic versatility means that with a simple written prompt, anyone can now build software in their native language.Users no longer need to learn the intricate syntax and structure of traditional programming languages; instead, they can describe their ideas and requirements in plain language, and the AI translates these into functional code.

AI's Linguistic Mastery: Bridging Human and Machine Languages

In June 2020, we witnessed a breakthrough when we tested OpenAI's GPT-3. Remarkably, it solved 93% of programming exercises we fed into it. This demonstrated an unprecedented understanding of natural language and coding tasks, showcasing the potential of AI to revolutionize the development process. Recognizing its potential, we swiftly moved to integrate this powerful AI into a practical tool for developers. The result was GitHub Copilot, an AI assistant that predicts and completes code, transforming the way developers work.

The Breakthrough of GPT-3 and the Birth of GitHub Copilot

As a lifelong fan of LEGO, I've always cherished the joy of creating with almost no barriers. This passion for building extends beyond LEGO to my professional role as CEO of GitHub, the hub for software development. Just as LEGO allows us to bring our creative ideas to life effortlessly, recent advancements in artificial intelligence (AI) are making coding accessible to everyone.

What if you could code just by talking out loud? GitHub CEO Thomas Dohmke shows how, thanks to AI, the barrier to entry to coding is rapidly disappearing — and creating software is becoming as simple (and joyful) as building LEGO. In a mind-blowing live demo, he introduces Copilot Workspace: an AI assistant that helps you create code when you speak to it, in any language.

If you love watching TED Talks like this one, become a TED Member to support our mission of spreading ideas: https://ted.com/membership

Follow TED! 
X: https://twitter.com/TEDTalks
Instagram: https://www.instagram.com/ted
Facebook: https://facebook.com/TED
LinkedIn: https://www.linkedin.com/company/ted-conferences
TikTok: https://www.tiktok.com/@tedtoks

The TED Talks channel features talks, performances and original series from the world's leading thinkers and doers. Subscribe to our channel for videos on Technology, Entertainment and Design — plus science, business, global issues, the arts and more. Visit https://TED.com to get our entire library of TED Talks, transcripts, translations, personalized talk recommendations and more.

Watch more: https://go.ted.com/thomasdohmke

https://youtu.be/nv9WwHpOKEg

TED's videos may be used for non-commercial purposes under a Creative Commons License, Attribution–Non Commercial–No Derivatives (or the CC BY – NC – ND 4.0 International) and in accordance with our TED Talks Usage Policy: https://www.ted.com/about/our-organization/our-policies-terms/ted-talks-usage-policy. For more information on using TED for commercial purposes (e.g. employee learning, in a film or online course), please submit a Media Request at https://media-requests.ted.com

#TED #TEDTalks #ai

technologyandthefuture

Technology & The Future

computerscience

Computer Science

podcasts

Podcasts

videos

Videos

artificialintelligence

Artificial Intelligence

The TED Talks channel features the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and more. You're welcome to link to or embed these videos, forward them to others and share these ideas with people you know.

TED's videos may be used for non-commercial purposes under a Creative Commons License, Attribution–Non Commercial–No Derivatives (or the CC BY – NC – ND 4.0 International) and in accordance with our TED Talks Usage Policy: https://www.ted.com/about/our-organization/our-policies-terms/ted-talks-usage-policy. For more information on using TED for commercial purposes (e.g. employee learning, in a film or online course), please submit a Media Request at https://media-requests.ted.com

The Daunting Complexity of Traditional Coding

Similar ideas to The Daunting Complexity of Traditional Coding

Computational Artefacts