Central Theme

The article outlines a pragmatic, non-technical approach to the artificial intelligence revolution. The author shares a personal strategy for adapting to AI, focusing on how to leverage the technology for productivity and new capabilities while strictly preserving human critical thinking, creativity, and authenticity in areas where they matter most.

Key Observations on the State of AI

• Rapid Obsolescence of Opinions: Any skepticism based on AI models older than a few months is invalid due to the exponential pace of improvement. We are approaching a point where AI-generated text, video, and art are indistinguishable from human creations.
• The Crisis of Online Trust: The internet faces an impending flood of mass-produced, fake content (reviews, comments, persona-based influencers). This will make trust scarce and valuable, harder for newcomers to break through the noise, and increase the value of verified human authenticity.
• Amplification of Traits: AI will not fundamentally change human nature but will amplify it. It will make the productive more productive and the lazy more reliant on shortcuts.

Strategic Implementation of AI

The author categorizes their adoption of AI into four distinct levels:

• Enhancing Old Tasks: Using tools like Perplexity or ChatGPT to improve research, fact-checking, and financial analysis—tasks the author was already doing but can now do faster.
• Enabling New Capabilities: perform tasks previously inaccessible due to lack of technical skill, such as coding apps, editing video/audio, or analyzing complex medical/financial data.
• Delegation via Agents: Automating mundane, repetitive chores like organizing invoices, booking flights, or data entry to free up time.
• Creating Custom Tools: Building personal applications and plugins to solve specific productivity problems without needing a developer budget.

The “Anti-Use” Case: Preserving Humanity

Crucially, the author defines boundaries where AI is strictly prohibited to prevent intellectual atrophy:

• No AI for Writing: Writing is viewed as a mechanism for structuring thought. Outsourcing writing to AI is likened to paying someone else to go to the gym for you; the output exists, but the personal growth is lost.
• No AI for Interpersonal Communication: Authenticity is becoming a premium asset. Using AI to fake personal messages is short-sighted and damages relationships.
• No AI for Summarizing Books: The value of reading lies in the time spent processing ideas, not just extracting data points. Speed-running consumption defeats the purpose of deep learning.

Conclusion

Ignorance is the worst possible strategy. The goal is not just to survive the AI shift but to gain from it by moving from passive consumption to active creation. As AI handles the average and the mundane, the ability to think critically and write clearly becomes more valuable, not less, because these skills are required to effectively direct AI agents.

Mentoring question

In which areas of your daily work are you using AI to enhance your output, and in which areas might you be dangerously outsourcing your critical thinking processes?

Source: https://52notatki.substack.com/p/co-mysle-o-rewolucji-ai-i-jak-sie