intellectronica

As we progress through the advanced stages of a period that can be called "the great divergence", the divide between those who can effectively utilise AI tools and those who cannot is widening. In the final stage (sometimes referred to as "the singularity" by the techno-religious), AI will ultimately diverge from biological intelligence. To remain competitive during this transformative era, it would be useful to follow a playbook detailing various levels of human-AI interaction skills. Each level gains relevance after the preceding one and eventually becomes obsolete as AI technology continues to evolve. Level 1: Acquaintance with AI Tools With AI development advancing rapidly, it is essential to stay informed about the latest tools and integrations. This requires dedicating time and effort to explore new developments, which in turn helps you remain current and gain hands-on experience with innovative technologies. * Skills required: curiosity, experimentation, internet and media awareness * Why this level will become obsolete: As AI becomes increasingly general and ubiquitous, the most advanced AI technology will be readily accessible through all digital portals, and it will no longer make sense to consider specific AI tools and integrations. Level 2: Mastery of AI Tool Operation Effectively employing AI tools demands the mastery of approaches and techniques that are both universally applicable and unique to each tool. These methods change with every new generation of tools, requiring constant adaptation. * Skills required: experimentation, structured operations, continuous learning, basic programming and scripting, "prompt engineering" * Why this level will become obsolete: As AI becomes more sophisticated, operating it will no longer be a specialised task—AI will effortlessly comprehend or predict our requests and needs. Level 3: Filtering and Curating AI Output AI output vastly surpasses human output, resulting in an overwhelming volume of informati