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Opinion | The Monster Inside ChatGPT
Opinion | The Monster Inside ChatGPT
We discovered how easily a model’s safety training falls off, and below that mask is a lot of darkness.
·wsj.com·
Opinion | The Monster Inside ChatGPT
Against AI: An Open Letter From Writers to Publishers
Against AI: An Open Letter From Writers to Publishers
To Penguin Random House, HarperCollins, Simon & Schuster, Hachette Book Group, Macmillan, and all other publishers of America: We are standing on a precipice. At its simplest level, our job as …
·lithub.com·
Against AI: An Open Letter From Writers to Publishers
- VSD Lab
- VSD Lab
ENVISIONING CARDS. A VALUE SENSITIVE DESIGN TOOLKIT Use the Envisioning Cards to create ethical technology and improve your design practice. The 2nd Edition consists of 42 Envisioning Cards downloadable in PDF format.   DOWNLOAD & PRINT   The Envisioning Cards … Continued
·vsdesign.org·
- VSD Lab
I’m not anti-AI.
I’m not anti-AI.
I’m not anti-AI. I’m anti-bullshit. For those struggling to reconcile my work in AI product and strategy with the things I’ve been saying - let me make it plain. Yes, I help teams build real AI products. And yes, I refuse to prop up fantasies just because they’re lucrative. These aren’t contradictions. They’re what make me credible. I know what this tech can do. I also know what it can’t. And I know exactly how it’s being spun to look like something it isn’t - not to help people, but to sell illusions dressed up as inevitability. We’re deliberately engineering the illusion of cognition. Not building minds - just engineering machines that mimic well enough to blur the line. Augmentation is promised whilst replacement is sold. And when the flaws emerge - hallucinations, cascading failure modes, confidently wrong outputs at scale - the spin kicks in: “That’s just temporary.” “That’s just a data problem.” “That’s just a prompt away.” It’s not. It’s structural. It’s endemic to the heart of this technology. Calling that out doesn’t make me anti-AI. It makes me more qualified to work in this field - because I don’t have to lie to make it useful. That’s why I’m valuable in what I do. I don’t just know what to build - I know what not to build. I understand what we’re building toward. I understand the moral, ethical, philosophical, reputational, financial implications. I’m not high on my own supply. So no I won’t dress this tech in a halo. I won’t help gaslight the world into trusting a system that doesn’t understand a word it says. But if you want real clarity - the kind that holds up after the hype collapses - then yes, I’m someone worth talking to. This moment doesn’t need more AI evangelists. It needs realism. It needs judgment. It needs people who can filter the bullshit and advise with clarity, those who see the cracks and still deliver. And that’s exactly what I do. On here, on the frontline, and in the boardroom. | 124 comments on LinkedIn
·linkedin.com·
I’m not anti-AI.
ILO Live - Revolutionizing health and safety: The role of AI and digitalization at work
ILO Live - Revolutionizing health and safety: The role of AI and digitalization at work
AI and digital tools are revolutionizing occupational safety and health. Today, robots are operating in hazardous environments, doing the heavy lifting, managing toxic materials and working in extreme temperatures. They take on repetitive and monotonous tasks, while digital devices and sensors can detect hazards early on. At the same time, in the absence of adequate OSH measures, digital technologies can lead to accidents, ergonomic risks, work intensification, reduced job control and blurred boundaries. On the occasion of World Day for Safety and Health at Work 2025 this event brings together ILO constituents and international experts to explore how AI and digitalization are reshaping OSH systems across sectors and countries.
·live.ilo.org·
ILO Live - Revolutionizing health and safety: The role of AI and digitalization at work
What’s Happening to Reading?
What’s Happening to Reading?
Joshua Rothman speculates on how advances in A.I. technology may change the future of reading.
·newyorker.com·
What’s Happening to Reading?
Why do people have such dramatically different experiences using AI?
Why do people have such dramatically different experiences using AI?
For some people, it seems, AI is an amazing machine which - while fallible - represents an incredible leap forward in productivity. For other people, it seems, AI is wrong more often than right and - although occasionally useful - requires constant supervision. Who is right? I recently pointed out a few common problems with LLMs. I was discussing this with someone relatively senior who works…
·shkspr.mobi·
Why do people have such dramatically different experiences using AI?
They Asked an A.I. Chatbot Questions. The Answers Sent Them Spiraling.
They Asked an A.I. Chatbot Questions. The Answers Sent Them Spiraling.
Generative A.I. chatbots are going down conspiratorial rabbit holes and endorsing wild, mystical belief systems. For some people, conversations with the technology can deeply distort reality.
·nytimes.com·
They Asked an A.I. Chatbot Questions. The Answers Sent Them Spiraling.
Rolling Stone
Rolling Stone
Why Elon Musk and other tech billionaires have a different perspective
·rollingstone.com·
Rolling Stone
115 Years Ago, in ‘The Machine Stops,’ E. M. Forster Presented A Dark Potential Future for our Relationship to AI
115 Years Ago, in ‘The Machine Stops,’ E. M. Forster Presented A Dark Potential Future for our Relationship to AI
We’re so busy absorbed in the hyper-speed cycle of press releases from the technoculture’s AI juggernaut that it's hard to take a moment to look into the past for insight. If we did, we might realise there was a piece of literature, published more than a century ago, paints a dark potential future o
·christopherroosen.com·
115 Years Ago, in ‘The Machine Stops,’ E. M. Forster Presented A Dark Potential Future for our Relationship to AI
Climate Justice and Labor Rights | Part I: AI Supply Chains and Workflows
Climate Justice and Labor Rights | Part I: AI Supply Chains and Workflows
Tamara Kneese, Data & Society Research Institute Download full report here. Introduction In the second half of 2023, generative AI is dominating headlines. Policymakers, technologists, and activists are all grappling with its potential implications for communities and the planet. Integrating LLMs (large language models) into search engines may multiply the carbon emissions associated with each […]
·ainowinstitute.org·
Climate Justice and Labor Rights | Part I: AI Supply Chains and Workflows
AI gurus are the new snake oil salesmen
AI gurus are the new snake oil salesmen
The AI gold rush has given rise to a new breed of prospector, self-anointed ‘AI experts’ who are well aware that expertise can be manufactured, performed and, most importantly, monetised.
·jamescosullivan.substack.com·
AI gurus are the new snake oil salesmen
US states sue 23andMe to protect customers’ private data | CNN Business
US states sue 23andMe to protect customers’ private data | CNN Business
New York and more than two dozen other US states sued 23andMe to challenge the sale of its customers’ private information after the genetic testing company filed for bankruptcy in March.
·amp-cnn-com.cdn.ampproject.org·
US states sue 23andMe to protect customers’ private data | CNN Business
Artificial Intelligence Is Not Intelligent
Artificial Intelligence Is Not Intelligent
Despite what tech CEOs might say, large language models are not smart in any recognizably human sense of the word.
·theatlantic.com·
Artificial Intelligence Is Not Intelligent
Great Engineers, Terrible Philosophers - Public Seminar
Great Engineers, Terrible Philosophers - Public Seminar
Luciano Floridi, Giannis Perperidis, and Alexandros Schismenos discuss the rapid evolution of AI technology and the nature of intelligence.
·publicseminar.org·
Great Engineers, Terrible Philosophers - Public Seminar
The Efficiency Dilemma
The Efficiency Dilemma
If our machines use less energy, will we just use them more?
·newyorker.com·
The Efficiency Dilemma
On Generative AI in the Classroom: Give Up, Give In, or Stand Up
On Generative AI in the Classroom: Give Up, Give In, or Stand Up
Edward Dunsworth Two approaches dominate discussion about how professors should handle generative “artificial intelligence” in the classroom: give up or give in. Give up. Faced with a powerful new …
·activehistory.ca·
On Generative AI in the Classroom: Give Up, Give In, or Stand Up