AI is revolutionizing the programming industry by automating repetitive tasks and shifting programmers' focus to more creative tasks, but the impact on the labor market and entry barriers for new programmers is uncertain.

• 🤖
  00:00

  An AI model can translate natural language into code, automating repetitive tasks for programmers, but training solely on programming code data can lead to unintended consequences.

  • An AI model has been developed that can recommend auto-completions of code based on comments or function headers, translating natural language into code and automating repetitive tasks for programmers.
  • The field of artificial intelligence is utilizing neural networks, specifically transformers, to analyze data sequences such as text and generate content, with advancements such as the GPT model being trained on a large scale.
  • The GPT-3 model is capable of auto-completing any text input and generating consistent sequences, impressing both the academic world and general public with its ability to not only communicate like a chat bot but also translate text and generate code.
  • Training an AI system solely on programming code data can lead to unintended consequences.
• 💻
  04:02

  Microsoft integrates OpenAI's GP3 into Power Up, completing the puzzle of AI computing and data necessary to train Git Copilot.

  • Microsoft announced its partnership with OpenAI in July 2019, allowing the company to use Microsoft's infrastructure to train their artificial intelligence models.
  • Microsoft has integrated GP3 into Power Up, allowing the system to recommend valid code options through natural language, completing the puzzle of artificial intelligence computing and data necessary to train Git Copilot.
• 👨‍💻
  06:20

  Auto-completing code input using web examples and day time module, with potential for adaptation to any program, making repetitive tasks easier with Copilot.

  • Auto-completing code input using web examples to define function headers and descriptions, with automatic output generation and processing using the day time module, resulting in a well-programmed code recommendation system.
  • The speaker demonstrates the versatility of programming languages such as Python, Go, Ruby, and TypeScript, showcasing examples of managing databases, autocompleting migrations, and solving sentiment recognition tasks, highlighting the potential for adaptation to any type of program.
  • The system can understand the context of input to generate plausible results, making repetitive tasks easier with the help of Copilot.
• 🤖
  08:50

  OpenAI's Codex system has a high success rate in programming code, but its impact on the labor market and entry barriers for new programmers is uncertain.

  • The OpenAI system has a high success rate in programming code and will continue to learn and become more intelligent through artificial intelligence, leading to concerns about the future of graphic designers and programmers.
  • Codex can significantly reduce programming time, but its impact on the labor market and entry barriers for new programmers is uncertain.
  • New tools may need to be created to accommodate the needs of people entering the labor market, with potential side effects that are difficult to estimate.
• 📹
  11:26

  YouTubers have become important disseminators, while automation tools will shift programmers' focus to more creative tasks in a third wave of productivity change.

  • Emergence of professions like YouTubers has allowed for the role of disseminator to exist.
  • Automation tools will force programmers to shift their focus to more creative tasks, as repetitive tasks become easily automated, leading to a third wave of productivity change.
• 🤖
  12:52

  AI is leading the third tech revolution, causing computer-based work to become more valuable than physical work.

  • The third revolution in technology is led by artificial intelligence, which will cause the price of computer-based work to grow faster than physical work.
  • Our legacy of programming code has been distilled into parameters within a neural network, allowing machines to act as co-pilots in building more powerful tools and leading us towards a future where material goods become common and human work becomes secondary.
• 📹
  14:40

  Speaker granted access to new YouTube tool, will test and update viewers on its potential, subscribe and share to learn about transformer models and stay updated on news through tweets, Twitch, and secondary channel.

  • The speaker's access to a new YouTube tool was granted and they will be testing and updating viewers on its potential in the next few days.
  • Subscribe to the channel and share the video with programmer friends and university students to learn about impressive transformer models, and stay updated on news through tweets, Twitch, and the secondary channel.
• 💰
  16:18

  Monthly contributions from supporters are enough to keep the project advancing.