3 entries
Watching Doug Engelbart's 2004 Accelerating Change keynote, 36 years after the demo. Running notes with Claude on tool systems vs human systems, collective capability, dimensional scaling, and what a post-conversation augmentation field could look like.
Marek Tuszynski (Tactical Tech) argues that the synthetic intimacy people develop with generative AI tools (an 'ELIZA effect') makes critical conversation about AI almost impossible: dependency forecloses critique. The piece curates 30 resources mapping AI's labor exploitation, environmental costs, military use, and concentration of power, framing AI critique as a moral and political project rather than a technical one.
Argues that the appeal of large language models is rooted in human interactional and interpretive processes, not in machine intelligence. Tracing a line from divination and ELIZA to present-day LLMs, Dingemanse follows Lucy Suchman in slowing down 'discourses of the smart machines' and shows how fluid output, fine-tuned overconfidence, and interactive design exploit our interpretive infrastructure. Critical AI literacy, the paper argues, must be grounded in a deep understanding of human interaction and sense-making.