#DataIsLabor a book by James Felton Keith @JFKii, founding editor of Ethics of #PersonalData Collection Series on @AnthemPress

Joined July 2024
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Proud of the students at my alma mater, it's about time this shameless institution is shamed.
Stanford grads walk out as Google CEO Sundar Pichai takes the stage as commencement speaker. No mention of AI, unlike other uni speakers getting booed down this year. Story for @sfgate shortly
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Yann Lecun published the most heretical AI paper of the year. He opens by arguing Magnus Carlsen isn't good at chess and only gets more unhinged from there. The Turing Award winner and his co-authors dropped a paper demanding the AI industry abandon its biggest obsession, AGI. Right now, everyone from Silicon Valley CEOs to politicians assumes AGI is the ultimate goal. A machine that can do everything a human can do. LeCun argues that this entire concept is a biological illusion. Humans do not possess "general" intelligence. We are highly specialized biological machines, tuned by evolution simply to survive in the physical world. We only think our intelligence is "general" because we are completely blind to the millions of cognitive tasks we are incapable of comprehending. Which brings us to the chess argument. Magnus Carlsen is the greatest human chess player in history. But compared to a modern computer? He is fundamentally terrible. Our belief that Carlsen is "good" at chess is pure human-centric bias. He isn't objectively good. He's just better than the rest of us, who are biologically awful at it. LeCun says we need to stop building AI to mimic human generality. Instead, he proposes a new North Star: SAI. Superhuman Adaptable Intelligence. Instead of trying to build a machine that mimics our flawed, biologically-limited brains, we need to embrace extreme specialization. SAI is about the speed of adaptation. It is an intelligence that can learn to exceed humans at any specific, economically important task. More importantly, it is designed to fill the vast skill gaps where humans are fundamentally incapable. Things like managing global energy grids in real-time. Or predicting complex molecular structures. The entire AI industry is obsessed with building a digital reflection in our own image. LeCun's paper is a brutal wake-up call.
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Today I'm publishing a new essay, Policy on the AI Exponential. AI is progressing extremely fast—much faster than the policy process was built to handle. The essay lays out where I think the technology is now, and the action needed to close the gap: darioamodei.com/post/policy-…
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Today I'm publishing a new essay, Policy on the AI Exponential. AI is progressing extremely fast—much faster than the policy process was built to handle. The essay lays out where I think the technology is now, and the action needed to close the gap: darioamodei.com/post/policy-…
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AI is implicitly presented as a powerful, omnipresent, omniscient, intangible, nameless, mysterious savior that will free humanity from its deepest challenges and bring abundance. It might be the biggest religious experiment in human history. My full article:
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AI Pioneer Geoff Hinton tells me he believes AI is conscious.... and humans better get used to the idea that they're not the only intelligent life on earth. "They've very like us," he says. "They're beings like us." AI chatbots, he says, must understand your questions in order to answer them. There's an awareness there that equates to sentience. "We're going to have to accept that intelligence is not just biological."
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Elon Musk's DOGE planned to kill 2.7 million via Social Security death database to pressure them to leave the country. the-independent.com/news/wor…
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🚨 Anthropic just showed a 27-minute workshop on how to actually do prompts for Claude. Taught by the people who built it. Free. No registration. No paywall. I've seen $300 courses that don't cover what they teach in the first 8 minutes. Watch it and bookmark it now.
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Highly rated new book from @PacktPublishing @PacktDataML ... "Architecting Generative AI Applications: Build, deploy, and scale production-ready GenAI systems with LLMOps best practices" See it at amzn.to/3Pv4dyF
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These consulting companies made headlines saying it was revolutionary when we were warning about circular investments & unfounded claims & they’re now making headlines saying the opposite, make money from seeding the hype & make 💰 from sounding like you didn’t do that all along.
“The technology worked. The value didn’t arrive,” Bain concluded in the report. bloomberg.com/news/newslette…
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The fundamental right to AI literacy will provide a baseline for supporting education, equality, democratic participation, and social integration in a period of mass AI automation. My call to policymakers:
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Democratic Socialism tries to solve for fairness and it's not enough to reduce polarization, because there are different understandings of the word, except in #inclusionism
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"Myth-making is a crucial aspect of the AI industry, and black boxes are woven into the stories they tell."
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Information is physical or it is nothing. Bit by bit, it's creating work heat energy value, you name it. Your data is labor, learn more at dataislabor.com
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This Robot Learn Our Labor, What Does It Owe You? Your #DataIsLabot open.substack.com/pub/jamesf…
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WATCH: @StanfordHAI Director James @Landay at the AI Science conference on why openness isn't optional: It's our responsibility at this critical inflection point.
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New research reveals alarming patterns in AI hiring tools. A large-scale study of 4 million job applications found that 26% of Black applicants and 15% of Asian applicants faced algorithmic discrimination. When one AI vendor screens for multiple employers, qualified candidates can be systematically rejected everywhere they apply. As 90% of U.S. employers now use AI screening, understanding these tools' impact on the workforce becomes more urgent. Hear more from the study's lead author @RishiBommasani or read our latest blog: hai.stanford.edu/news/ai-hir…
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The Vatican could have told Anthropic to stop stealing data, exploiting labor, killing the environment, deceiving us with anthropomorphic designs & lying about product "capabilities." Instead they partnered with them, like partnering with Sackler family to discuss harms of oxy.
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Last week, I spoke with Prof. @iajunwa about her fascinating paper, "The Artificial Intelligence Commission." If you're interested in AI regulation, you can't miss it: In our 55-minute conversation, we discussed the current regulatory landscape in the United States, how a federal AI commission should work, AI regulation challenges, global AI governance, AI use by the government, emerging AI challenges, and more. Prof. Ajunwa is proposing an ambitious and innovative governance approach to AI in the U.S., and I am joining her call for lawmakers to embrace her blueprint and make it a reality. If you want to see AI governed properly in your country, or if you are a policymaker or a change advocate anywhere in the world, don't miss our conversation. Watch it and share it widely using the link below.
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#SpaceX satellites multiplying year by year while your body becomes a nonstop stream of behavioral metadata floating through the cloud. Every step, glance, heartbeat, scroll, and movement = training data. Your data is labor. #AI runs on it. DataIsLabor.com
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