The AI doomer narrative is getting recycled by people who weren't around for the last cycles. Back in the 1980s, Japan tried to centrally control AI development through government mandates—total failure. The breakthrough came from a small renegade group in Canada that everyone ignored, working on neural nets when the industry had written them off.
Today's playbook: big AI labs with zero historical context begging governments to regulate their "scary monsters." Same fear, different decade. The reality? Open source developers are shipping thousands of models and inventing architectures the centralized players never imagined.
The entry predictions from decades ago were accurate—no apocalypse happened. This isn't "different this time." Decentralized innovation always outpaces top-down control. The commissar approach to AI has failed every single time it's been tried.
If you understand the history, you know how this ends: open development wins, centralized fear-mongering loses. Stop watching Hollywood movies and start reading the actual technical history of AI winters and thaws.
Today's playbook: big AI labs with zero historical context begging governments to regulate their "scary monsters." Same fear, different decade. The reality? Open source developers are shipping thousands of models and inventing architectures the centralized players never imagined.
The entry predictions from decades ago were accurate—no apocalypse happened. This isn't "different this time." Decentralized innovation always outpaces top-down control. The commissar approach to AI has failed every single time it's been tried.
If you understand the history, you know how this ends: open development wins, centralized fear-mongering loses. Stop watching Hollywood movies and start reading the actual technical history of AI winters and thaws.