Friday, August 01, 2025
All the Bits Fit to Print
Analyzing the AI bubble and the shift toward practical machine learning infrastructure.
The article argues that the real revolution in AI is not the pursuit of artificial general intelligence (AGI) but the rapid commoditization and integration of machine learning as boring, reliable infrastructure transforming everyday development and workflows.
Why it matters: AI is becoming a standard tool, enabling millions globally to build real products quickly, rather than a speculative race for superintelligence.
The big picture: The hype-driven AGI race is a geopolitical bubble fueled by fear and investment, distracting from practical AI advances already reshaping industries.
Stunning stat: AI model costs dropped from $60 to $0.07 per million tokens between 2020 and 2024, signaling commoditization and scale.
Commenters say: Readers appreciate the focus on practical AI use over hype, debate the timeline and impact of AGI, and question some anecdotal claims about developer productivity.