Should You Be A Carpenter? [Wading Through AI - Episode 1]

About this video

• Video Title: Should You Be A Carpenter? [Wading Through AI - Episode 1]
• Channel: Molly Rocket
• Speakers: Casey, Demetri
• Duration: 01:48:12

Overview

This video is the first episode of a discussion series called "Wading Through AI," featuring Demetri, an AI researcher with decades of experience, and Casey, who plays the outsider perspective on AI. They aim to provide a grounded conversation about AI, its current impact, and its future trajectory, moving beyond the hype. In this episode, they specifically address the question of whether knowledge workers, those who primarily work at computers, should be concerned about AI replacing their jobs and consider if pursuing a trade like carpentry is a more viable career path.

Key takeaways

• AI's Genesis: The current AI landscape is largely downstream from a "nexus point" around 2013-2014 when deep learning became viable due to theoretical advancements, GPU compute power, and the ability of large tech companies to leverage their scale.
• Job Market Concerns: Many people, particularly those with young families or mentoring junior engineers, are worried about AI's impact on the job market, leading to questions about career viability and the need to transition to trades.
• Hype Cycles and VC Dynamics: The AI boom is compared to past tech bubbles like the dot-com era, highlighting how market prices can be disconnected from underlying business realities, leading to irrational exuberance and potential consolidation.
• AI's Impact on Programming: While AI can generate code, its current capabilities are more akin to a junior programmer's output. The lack of junior engineers entering the pipeline due to AI adoption could impact the future availability of senior engineers.
• The "Dancing Bear" Analogy: Many AI demonstrations are like "dancing bears" – impressive that they can perform a task at all, but the execution (the "dance") is often poor. The key is to distinguish between the novelty of AI performing a task and the actual quality and utility of its output.
• Future of Knowledge Work: The discussion suggests that skills focused on "blocking and tackling" – the foundational, often unglamorous tasks that make systems work – will remain essential, even as AI automates more of the "star" roles.

Yes, several pieces of advice were given throughout the discussion, primarily for those in or entering the tech industry, particularly in programming roles:

• Understand the Competition: At a minimum, it's crucial to understand how AI tools work and what they are capable of.
• Collaborate with AI: Ideally, learn to work productively with AI tools. Demetri believes that the era of junior programmers solely being valued for writing basic syntactic constructs is likely coming to an end.
• Develop Adjacent Skills: Focus on value-generating aspects beyond just writing code. This could include:
  • For game programmers: Game design.
  • For graphics programmers: Art styles.
  • For app developers: Understanding market opportunities.
  • For legal professionals: Drumming up business, deal-making, and negotiation.
• Focus on the "Blocking and Tackling": While AI might excel at "star" roles or novel tasks (the "dancing bear"), the fundamental, essential tasks that make systems function reliably will likely remain valuable.
• Learn AI's Capabilities and Limitations: Engage with AI tools directly. For instance, a game programmer could try recreating work using AI, learning what it does well and where its limitations lie (e.g., reproducibility, quality of output).
• Adaptability is Key: The tech landscape is changing rapidly due to AI. Ignoring these changes is not an option. Professionals should strive to become familiar with AI's impact on their field and find ways to integrate or adapt.
• Be Aware of "Shovelware": Recognize that AI can easily generate low-value or low-quality output (like simple dashboards or basic app assets) cheaply. This might flood the market with such content, making it harder for those who focus solely on the craft without broader business or artistic vision.
• Develop "Business" Skills: Beyond technical execution, skills like finding clients, building relationships, branding, and understanding market opportunities are becoming increasingly important differentiators.