2024 Predictions for Advanced AI & LLM Engineers (Prompts, Job Market, Coding, Big Tech)



AI Summary

Summary: Predictions for 2024

AI Engineering Focus

  • Emphasis on advanced AI engineering, particularly large language models (LLMs), agentic software, and the importance of the prompt as a fundamental unit of technology.

Importance of Predictions

  • Predictions increase accountability and effort, leading to better outcomes.
  • Accurate predictions allow for strategic positioning and learning from mistakes.

Past Predictions

  • In 2023, achieved a 66% success rate in predictions.

AI and LLM Predictions

  • OpenAI will continue to lead the AI race.
  • Open-source LLMs will reach GPT-3.5 turbo levels.
  • A major AI sentience scare will occur, elevating AI safety concerns.

Programming Predictions

  • No-code/low-code platforms with LLM integration will become standard for prototyping.
  • TypeScript and Python will remain top programming languages.
  • AI assistants like microsoft Co-pilot will become essential for programmers.
  • Senior engineers will focus more on strategy than implementation, leveraging AI tools.

Big Tech Predictions

  • Big tech companies will maintain dominance, with OpenAI emerging as a significant competitor.
  • AI will be used to create highly targeted ads.
  • OpenAI will face lawsuits but will continue its progress.

Stock and Crypto Predictions

  • AI and big tech will help avert a national recession.
  • SPX to hit 5K in Q1/Q2 and end above 5,000 by year-end.
  • Ethereum to own more than 20% of the total crypto market cap.

Job Market Predictions

  • Remote work will persist, with companies enforcing office returns losing employees.
  • Entry and mid-level engineering jobs will become oversaturated.
  • Prompt engineering will emerge as a specialized job role.
  • Outsourcing of non-senior engineering roles will intensify.

Pareto Actions for 2024

  • Treat prompt engineering as a first-class skill.
  • Carefully select information sources to stay updated on software and AI.
  • Experiment with local LLMs to understand their capabilities.
  • Focus on mastering Python and TypeScript.
  • Prioritize remote collaboration skills.

Personal Note

  • The channel focuses on building agentic software and AI-charged engineering, aiming to be at the forefront of AI technology advancements.