The AI Dilemma

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Center for Humane Technology

Tristan Harris, Socialjustice, Tech Podcast, Character Ai, Little Tech, Ai History, Silicon Valley, Privacy, Daniel Barcay, Addiction, Ai Addiction, Chat Bots, Children And Tech, Tech Policy, Responsibleai, Tech, New Ai Shows, Screen Time, Open Ai, Elections, Kids Tech, Google, Ai And Kids, Politicsandai, Politics, Anthropic, Dataprivacy, Humans, Tech And Relationships, Us Politics, Ai And Relationships, Aiandhumanrights, Civictech, Aiinsociety, Surveillance, Sam Altman, Technopoly, Humancenteredai, Breakdown Of Trust, Ai And Work, Ai And The Future, Democracy, Futureofwork, Tech Politics, Tech Ethics, Future, Tech Addiction, Asi, Kids Phone Addiction, Best Ai Shows, Ai Regulations, Meta, Digitalgovernance, Bigtech, Ai And Happiness, Machinelearning, Screentime, Relationships, Ai Welfare, Ai Podcast, Cognitive Liberty, Infinite Scroll, Ai And Education, Kids And Ai, Ai Politics, Apple, Digitaldemocracy, Claude, Llms, Societalimpact, Artificial General Intelligence, Agi, Machines, Us Society, Politicaltechnology, Disinformation, Ai And Rights, Elon Musk, Government, Aiaccountability, Polarization, Jon Haidt, Algorithmicbias, Ai Personhood, Kids Online Safety, Superintelligence, Techandsociety, Automation, Design Ethics, News, Time Well Spent, Tech News, Society & Culture, Humane Design, Technology, Cht, Artificial Intelligence, Center For Humane Technology, The Social Dilemma Netflix, Philosophy, Human Downgrading, Aza Raskin, Attention Economy, Ethical Technology

4.8 • 1.5K Ratings

🗓️ 24 March 2023

⏱️ 42 minutes

🔗️ Recording | iTunes | RSS

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Summary

At Center for Humane Technology, we want to close the gap between what the world hears publicly about AI from splashy CEO presentations and what the people who are closest to the risks and harms inside AI labs are telling us. We translated their concerns into a cohesive story and presented the resulting slides to heads of institutions and major media organizations in New York, Washington DC, and San Francisco. The talk you're about to hear is the culmination of that work, which is ongoing.

Transcript

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0:00.0	Hey, this is Tristan, and this is Aiza.
0:03.2	So GPT-4 is here, and it is a major step function
0:08.7	in cognitive capacity over GPT-3.
0:12.4	So it can do things like pass exams,
0:14.8	like the bar that GPT-3 really struggled with.
0:17.8	It can understand both images and text
0:20.8	and reason about the two of them in combination.
0:23.3	But the real thing to know is that we honestly don't know
0:27.4	what it's capable of.
0:29.0	The researchers don't know what it's capable of.
0:31.3	There's going to be a lot more research
0:33.0	that's required to understand its capacities.
0:36.5	And even though that's true, it's already been deployed
0:39.3	to the public.
0:41.7	And part of what we're doing here
0:43.0	is we're channeling the consciousness
0:44.5	of the people who work on safety in this field,
0:47.2	who work on AI safety.
0:48.4	And maybe they don't know how to speak up
0:49.8	or how to coordinate or how to become Francis Hagen,
0:52.2	but we're trying to close the gap between what the world
0:55.0	hears publicly about AI from the CEOs of the companies
	...

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