The AI industry, corporate censorship & the destruction of knowledge: "But with all the world’s literature as its training data, why do LLMs seem to default so often to the lighthouse? It comes down to how model makers try to safety-align and sanitize their outputs." www.404me…
Teresa Heffernan
Articles & links
Disinformation machines: "A March 2025 study from the Tow Center for Digital Journalism found that more than 60 percent of responses from AI-powered search engines were inaccurate. A BBC study puts the wrongness of chatbots closer to 45 percent" www.wired.com/story/fact-c...?
"AI" is not the future: "Worldwide, three-quarters of people could face drought impacts by 2050 all while datacenters use 9.3tn liters of water in the coming decade, enough to meet the drinking water needs of the planet’s human population for over year" www.theguardian.com/us-…
www.bloodinthemachine.com/p/how-anthro...
great time for Canada to jump on board the sinking ship... (www.cbc.ca/news/politic...)
Disinformation machines: "A March 2025 study from the Tow Center for Digital Journalism found that more than 60 percent of responses from AI-powered search engines were inaccurate. A BBC study puts the wrongness of chatbots closer to 45 percent" www.wired.com/story/fact-c...?
Recent commentary
The AI industry, subject to little regulation, has made billions by promising a forever-coming mythical “superintelligence”; its products crucially involve overhauling & locking us into a global infrastructure, perfecting the model of marketing the idea of individual freedom while shutting it down.
Finishing a paper on Neom & waiting for governments to catch up, so they stop investing tax payers' $ in the fictions marketed by the AI industry: "Rather than unveiling a new world, it is the last gasp of a model that has no future, best exemplified by the failure of the Saudi Vision 2030 project."
"The enormous amount of time and effort expended on technical and policy fixes to address the problem of fakes, scams, biases, misinformation, and disinformation are bound to fail if they never address the heart of the problem, the Orwellian language that pervades the AI industry."
Just to be clear: "Automation, surveillance, the degradation of labour, the destruction of the environment, and the upward transfer of wealth--not intelligence--are the backbone of the resource-intensive AI industry."
In Teresa Heffernan's orbit
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