Tech Won't Save Us We All Suffer from OpenAI’s Pursuit of Scale w/ Karen Hao [Replay]
27 snips
Jan 8, 2026 
Karen Hao, an acclaimed technology journalist and author of Empire of AI, dives into the controversial practices of OpenAI under Sam Altman’s leadership. She articulates how the relentless drive for scale leads to exploitation of workers and environmental harm. Karen shares insights on the evolution of AI, highlighting issues like surveillance capitalism, polluted datasets, and the monopolization of AI talent. She calls for more responsible, task-specific AI approaches while exposing the hidden costs of aggressive scaling in the tech industry.
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Why Deep Learning Won
- The split between symbolist and connectionist approaches shaped AI's trajectory toward data-driven methods.
- The internet, cheap data, and compute favored connectionist deep learning and commercial adoption.
Computability Belief Drives Scale
- Belief that intelligence is computable fuels the push for AGI and justifies scaling as a path to it.
- Large companies adopted deep learning because it leveraged their data and compute advantages.
Scale As Core Strategy
- OpenAI's cultural mix (researcher scaling belief + Altman's growth instincts) made 'scale' their strategy.
- They bought massive compute from Microsoft and turned fluent LLMs into a commercial product push.
