Pluralistic: How an AI moratorium can save AI bosses (16 Sep 2026) – Pluralistic: Daily links from Cory Doctorow
There's lots of reasons to believe the "hyperscaler" model of AI can never be profitable, and not just because of its gigantic expenditures and negative unit economics (the companies lose money with every new customer and every new use, and they lose more money with each generation of their products):
There’s a Reason Women Aren’t Swooning Over AI Like Men Are
Or rather, a great many reasons
What the heck is wrong with our AI overlords?
New profile of Sam Altman shines a light on a whole industry.
Silicon Valley Doesn't Get Why You Hate AI
Technology leaders don’t seem to understand society’s gripes about AI, but boy, are they posting through it.
“Women Don’t Need Rescuing”: Navigating the AI Gender Gap in an Industry That’s Obsessed | LBBOnline
Little Black Book, Is the AI gender gap a problem to be solved, a question of control or a strategic advantage? LBB’s Laura Swinton Gupta asks
Don’t Believe the Hype — or Doom — About AI
For America’s VC-dominated tech industry, AI hype isn’t just a crazy by-product — it’s a structural part of the US economy in which capital tries to write our destinies. We shouldn’t let it.
New York Times Accused of Running AI-Generated Article
People are speculating that an essay published in the New York Times' "Modern Love" was AI-generated. What's definitely real? AI paranoia.
Pluralistic: LLMs are real, AI is fake (12 Sep 2026) – Pluralistic: Daily links from Cory Doctorow
Once you understand the corporate culture of AI "hyperscalers" consists primarily of everyone cooking their brains by locking themselves in the bathroom, holding flashlights under their chins, and saying "Aaaaaaaaaay Eyeeeeeee" until they wet themselves in terror, a lot of things snap into focus:
Humanism without (All) Humans
Microsoft Humanism puts corporate muscle behind an overweening class of bad AI philosophies
Why this philosopher turned down Anthropic
The AI industry is courting the humanities — but it is asking the wrong questions
Why this philosopher turned down Anthropic
The AI industry is courting the humanities — but it is asking the wrong questions
A Growing Gender Divide in the AI Economy — The Honest Economist
The article argues that AI is reshaping gender inequality even before the pay gap visibly widens. Women are more concentrated in clerical and administrative roles where AI can restructure work, while men are more concentrated in technical, AI-complementary roles. Among college graduates, the exposur
Bernie Sanders has AI policy all wrong
His criticisms are responding to industry hype, not the real harms of generative AI
Would You Just Look At This Shit
Even if you put AI ethics and tech's support of fascism aside (which you shouldn't), the quality control at major tech companies has become an embarrassing and dangerous mess as they try to justify years of hype.
Anthropomorphism in AI: hype and fallacy
This essay focuses on anthropomorphism as both a form of hype and fallacy. As a form of hype, anthropomorphism is shown to exaggerate AI capabilities and performance by attributing human-like traits to systems that do not possess them. As a fallacy, anthropomorphism is shown to distort moral judgments about AI, such as those concerning its moral character and status, as well as judgments of responsibility and trust. By focusing on these two dimensions of anthropomorphism in AI, the essay highlights negative ethical consequences of the phenomenon in this field.
Anthropomorphism in AI: hype and fallacy
This essay focuses on anthropomorphism as both a form of hype and fallacy. As a form of hype, anthropomorphism is shown to exaggerate AI capabilities and performance by attributing human-like traits to systems that do not possess them. As a fallacy, anthropomorphism is shown to distort moral judgments about AI, such as those concerning its moral character and status, as well as judgments of responsibility and trust. By focusing on these two dimensions of anthropomorphism in AI, the essay highlights negative ethical consequences of the phenomenon in this field.
