This piece examines the hidden costs of AI development in New Zealand and globally, framing large-scale generative AI as an imperial force that exploits data, labor, and resources while masking its profit-driven, power-concentrating motives.
Stacked weekly counts; colour by lean. “n/a” covers government and iwi-Māori sources where lean isn't applicable.
How this topic has been named, week by week. A new alias winning out is usually a framing shift.
Verbatim segments from politicians speaking on podcasts and radio shows about this topic. Sourced via the voice-reference library — each speaker has been confirmed manually from their voice clip. Click play to stream the original audio from the publisher, pre-seeked to the moment the quote starts.
In terms of what struck me about, I mean, very early on in the book, you say um open AI, for instance, its core mission was from its inception till now. Um, in the beginning, they would promise to share research, commit to a moral mission, take the moral high ground, you know, this is for the benefit of humanity. And even in the attempt of firing Sam Altman from the board, I found it interesting that the board actually said if this action destroys the company, it could in fact be consistent with its mission, which I found really interesting. Uh, but within four years, obviously everything had changed quite drastically. What or who changed from the initial concept of it being um something to benefit us, something that we need to learn in order to, you know, save ourselves from imminent doom in future to now.
Up to 12 framings spread across orientations. Each framing is a short phrase the topic extractor generated to characterise the piece's stance — not a quote from the source. Click through to read the original.
transition from altruism to profit-driven dominance
The hidden costs of AI: Labour, data, and the race to dominateSpotted something wrong on this page? Report a correction.
