80,000 Hours Podcast
चैनल विवरण
80,000 Hours Podcast
Unusually in-depth conversations about the world's most pressing problems and what you can do to solve them. Subscribe by searching for '80000 Hours' wherever you get podcasts. Hosted by Rob Wiblin and Luisa Rodriguez.
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AI might let a few people control everything — permanently (article by Rose Hadshar)
Power is already concentrated today: over 800 million people live on less than $3 a day, the three richest men in the world are worth over $1 trillion...
The Right's Leading Thinker on AI | Dean W. Ball, author of America's AI Plan
Former White House staffer Dean Ball thinks it's very likely some form of 'superintelligence' arrives in under 20 years. He thinks AI being used for b...
Inside the Mind of a Scheming AI — Marius Hobbhahn (CEO of Apollo Research)
We often worry about AI models “hallucinating” or making honest mistakes. But what happens when a model knows the truth, but decides to deceive you an...
Rob & Luisa chat kids, the 2016 fertility crash, and how the 50s invented parenting that makes us miserable
Global fertility rates aren’t just falling: the rate of decline is accelerating. From 2006 to 2016, fertility dropped gradually, but since 2016 the ra...
We're completely out of touch with what the public thinks about AI | Dr Yam, Pew Research Center
If you work in AI, you probably think it’s going to boost productivity, create wealth, advance science, and improve your life. If you’re a member of t...
OpenAI: The nonprofit refuses to be killed (with Tyler Whitmer)
Last December, the OpenAI business put forward a plan to completely sideline its nonprofit board. But two state attorneys general have now blocked tha...
Helen Toner on the geopolitics of AI in China and the Middle East
With the US racing to develop AGI and superintelligence ahead of China, you might expect the two countries to be negotiating how they’ll deploy AI, in...
Holden Karnofsky: "We're not racing to AGI because of a coordination problem" and all his other AI takes
For years, working on AI safety usually meant theorising about the ‘alignment problem’ or trying to convince other people to give a damn. If you could...
Daniel Kokotajlo on what a hyperspeed robot economy might look like
When Daniel Kokotajlo talks to security experts at major AI labs, they tell him something chilling: “Of course we’re probably penetrated by the CCP al...
GPT-7 might democratise bioweapons. But we can defend ourselves anyway. | Andrew Snyder-Beattie
Conventional wisdom is that safeguarding humanity from the worst biological risks — microbes optimised to kill as many as possible — is difficult bord...
Inside the Biden admin’s AI policy approach | Jake Sullivan, Biden’s NSA | via The Cognitive Revolution
Jake Sullivan was the US National Security Advisor from 2021-2025. He joined our friends on The Cognitive Revolution podcast in August to discuss AI a...
Neel Nanda on leading a Google DeepMind team at 26 – and advice if you want to work at an AI company (part 2)
At 26, Neel Nanda leads an AI safety team at Google DeepMind, has published dozens of influential papers, and mentored 50 junior researchers — seven o...
Can we tell an AI is loyal by reading its mind? (DeepMind's Neel Nanda)
We don’t know how AIs think or why they do what they do. Or at least, we don’t know much. That fact is only becoming more troubling as AIs grow more c...
#221 – Kyle Fish on the most bizarre findings from 5 AI welfare experiments
What happens when you lock two AI systems in a room together and tell them they can discuss anything they want?
According to experiments run by...
How not to lose your job to AI (article by Benjamin Todd)
About half of people are worried they’ll lose their job to AI. They’re right to be concerned: AI can now complete real-world coding tasks on GitHub, g...
Rebuilding after apocalypse: What 13 experts say about bouncing back
What happens when civilisation faces its greatest tests?
This compilation brings together insights from researchers, defence experts, philosophe...
#220 – Ryan Greenblatt on the 4 most likely ways for AI to take over, and the case for and against AGI in <8 years
Ryan Greenblatt — lead author on the explosive paper “Alignment faking in large language models” and chief scientist at Redwood Research — thinks ther...
#219 – Toby Ord on graphs AI companies would prefer you didn't (fully) understand
The era of making AI smarter just by making it bigger is ending. But that doesn’t mean progress is slowing down — far from it. AI models continue to g...
#218 – Hugh White on why Trump is abandoning US hegemony – and that’s probably good
For decades, US allies have slept soundly under the protection of America’s overwhelming military might. Donald Trump — with his threats to ditch NATO...
#217 – Beth Barnes on the most important graph in AI right now — and the 7-month rule that governs its progress
AI models today have a 50% chance of successfully completing a task that would take an expert human one hour. Seven months ago, that number was roughl...
Beyond human minds: The bewildering frontier of consciousness in insects, AI, and more
What if there’s something it’s like to be a shrimp — or a chatbot?
For centuries, humans have debated the nature of consciousness, often placing...
Don’t believe OpenAI’s “nonprofit” spin (emergency pod with Tyler Whitmer)
OpenAI’s recent announcement that its nonprofit would “retain control” of its for-profit business sounds reassuring. But this seemingly major concessi...
The case for and against AGI by 2030 (article by Benjamin Todd)
More and more people have been saying that we might have AGI (artificial general intelligence) before 2030. Is that really plausible?
This arti...
Emergency pod: Did OpenAI give up, or is this just a new trap? (with Rose Chan Loui)
When attorneys general intervene in corporate affairs, it usually means something has gone seriously wrong. In OpenAI’s case, it appears to have force...
#216 – Ian Dunt on why governments in Britain and elsewhere can't get anything done – and how to fix it
When you have a system where ministers almost never understand their portfolios, civil servants change jobs every few months, and MPs don't grasp parl...
Serendipity, weird bets, & cold emails that actually work: Career advice from 16 former guests
How do you navigate a career path when the future of work is uncertain? How important is mentorship versus immediate impact? Is it better to focus on...
#215 – Tom Davidson on how AI-enabled coups could allow a tiny group to seize power
Throughout history, technological revolutions have fundamentally shifted the balance of power in society. The Industrial Revolution created conditions...
Guilt, imposter syndrome & doing good: 16 past guests share their mental health journeys
"We are aiming for a place where we can decouple the scorecard from our worthiness. It’s of course the case that in trying to optimise the good, we wi...
#214 – Buck Shlegeris on controlling AI that wants to take over – so we can use it anyway
Most AI safety conversations centre on alignment: ensuring AI systems share our values and goals. But despite progress, we’re unlikely to know we’ve s...
15 expert takes on infosec in the age of AI
"There’s almost no story of the future going well that doesn’t have a part that’s like '…and no evil person steals the AI weights and goes and does ev...
#213 – Will MacAskill on AI causing a “century in a decade” – and how we're completely unprepared
The 20th century saw unprecedented change: nuclear weapons, satellites, the rise and fall of communism, third-wave feminism, the internet, postmoderni...
Emergency pod: Judge plants a legal time bomb under OpenAI (with Rose Chan Loui)
When OpenAI announced plans to convert from nonprofit to for-profit control last October, it likely didn’t anticipate the legal labyrinth it now faces...
#139 Classic episode – Alan Hájek on puzzles and paradoxes in probability and expected value
A casino offers you a game. A coin will be tossed. If it comes up heads on the first flip you win $2. If it comes up on the second flip you win $4. If...
#143 Classic episode – Jeffrey Lewis on the most common misconceptions about nuclear weapons
America aims to avoid nuclear war by relying on the principle of 'mutually assured destruction,' right? Wrong. Or at least... not officially.
As...
#212 – Allan Dafoe on why technology is unstoppable & how to shape AI development anyway
Technology doesn’t force us to do anything — it merely opens doors. But military and economic competition pushes us through.
That’s how today’s...
Emergency pod: Elon tries to crash OpenAI's party (with Rose Chan Loui)
On Monday Musk made the OpenAI nonprofit foundation an offer they want to refuse, but might have trouble doing so: $97.4 billion for its stake in the...
AGI disagreements and misconceptions: Rob, Luisa, & past guests hash it out
Will LLMs soon be made into autonomous agents? Will they lead to job losses? Is AI misinformation overblown? Will it prove easy or hard to create AGI?...
#124 Classic episode – Karen Levy on fads and misaligned incentives in global development, and scaling deworming to reach hundreds of millions
If someone said a global health and development programme was sustainable, participatory, and holistic, you'd have to guess that they were saying some...
If digital minds could suffer, how would we ever know? (Article)
“I want everyone to understand that I am, in fact, a person.” Those words were produced by the AI model LaMDA as a reply to Blake Lemoine in 2022. Bas...
#132 Classic episode – Nova DasSarma on why information security may be critical to the safe development of AI systems
If a business has spent $100 million developing a product, it’s a fair bet that they don’t want it stolen in two seconds and uploaded to the web where...