Should you work at a frontier AI company?
Career review by Arden Koehler and the 80,000 Hours team · Last updated August 2024 · First published June 2023



The idea this week: totalitarian regimes killed over 100 million people in less than 100 years — and in the future they could be far worse.
That’s because advanced artificial intelligence may prove very useful for dictators. They could use it to surveil their population, secure their grip on power, and entrench their rule, perhaps indefinitely.
I explore this possibility in my new article for 80,000 Hours on the risk of stable totalitarianism.
This is a serious risk. Many of the worst crimes in history, from the Holocaust to the Cambodian Genocide, have been perpetrated by totalitarian regimes. When megalomaniacal dictators decide massive sacrifices are justified to pursue national or personal glory, the results are often catastrophic.
However, even the most successful totalitarian regimes rarely survive more than a few decades. They tend to be brought down by internal resistance, war, or the succession problem — the possibility for sociopolitical change, including liberalisation, after a dictator’s death.
But that could all be upended if technological advancements help dictators overcome these challenges.
In the new article, I address:
To be sure,

The role
80,000 Hours provides free research and support to help people find careers tackling the world’s most pressing problems.
We’re keen to hire another advisor to talk to talented and altruistic people in order to help them find high-impact careers.
It’s a great sign you’d enjoy being an 80,000 Hours advisor if you’ve enjoyed managing, mentoring, or teaching. We’ve found that experience with coaching is not necessary — backgrounds in a range of fields like medicine, research, management consulting, and more have helped our advisors become strong candidates for the role.
For example, Laura González-Salmerón joined us after working as an investment manager, Abigail Hoskin completed her PhD in Psychology, and Matt Reardon was previously a corporate lawyer. But it’s also particularly useful for us to have a broad range of experience on the team, so we’re excited to hear from people with all kinds of backgrounds.
The core of this role is having one-on-one conversations with people to help them plan their careers. We have a tight-knit, fast-paced team, though, so people take on a variety of responsibilities . These include, for example, building networks and expertise in our priority paths, analysing data to improve our services, and writing posts for the 80,000 Hours website or the EA Forum.
What we’re looking for
We’re looking for someone who has:

In today’s episode, host Luisa Rodriguez speaks to Sella Nevo — director of the Meselson Center at RAND — about his team’s latest report on how to protect the model weights of frontier AI models from actors who might want to steal them.
They cover:
Producer and editor: Keiran Harris
Audio engineering team: Ben Cordell, Simon Monsour, Milo McGuire, and Dominic Armstrong
Additional content editing: Katy Moore and Luisa Rodriguez
Transcriptions: Katy Moore

Can ‘effective accelerationists’ and AI ‘doomers’ agree on a common philosophy of technology? Common sense says no. But programmer and Ethereum cofounder Vitalik Buterin showed otherwise with his essay “My techno-optimism,” which both camps agreed was basically reasonable.
Seeing his social circle divided and fighting, Vitalik hoped to write a careful synthesis of the best ideas from both the optimists and the apprehensive.
Accelerationists are right: most technologies leave us better off, the human cost of delaying further advances can be dreadful, and centralising control in government hands often ends disastrously.
But the fearful are also right: some technologies are important exceptions, AGI has an unusually high chance of being one of those, and there are options to advance AI in safer directions.
The upshot? Defensive acceleration: humanity should run boldly but also intelligently into the future — speeding up technology to get its benefits, but preferentially developing ‘defensive’ technologies that lower systemic risks, permit safe decentralisation of power, and help both individuals and countries defend themselves against aggression and domination.
What sorts of things is he talking about? In the area of disease prevention it’s most easy to see: disinfecting indoor air, rapid-turnaround vaccine platforms, and nasal spray vaccines that prevent disease transmission all make us safer against pandemics without generating any apparent new threats of their own. (And they might eliminate the common cold to boot!)
Entrepreneur First is running a defensive acceleration incubation programme with $250,000 of investment. If these ideas resonate with you, learn about the programme and apply here. You don’t need a business idea yet — just the hustle to start a technology company. But you’ll need to act fast and apply by August 2, 2024.
Vitalik explains how he mentally breaks down defensive technologies into four broad categories:
The philosophy of defensive acceleration has a strong basis in history. Mountain or island countries that are hard to invade, like Switzerland or Britain, tend to have more individual freedom and higher quality of life than the Mongolian steppes — where “your entire mindset is around kill or be killed, conquer or be conquered”: a mindset Vitalik calls “the breeding ground for dystopian governance.”
Defensive acceleration arguably goes back to ancient China, where the Mohists focused on helping cities build better walls and fortifications, an approach that really did reduce the toll of violent invasion, until progress in offensive technologies of siege warfare allowed them to be overcome.
In addition to all of that, host Rob Wiblin and Vitalik discuss:
Producer and editor: Keiran Harris
Audio engineering team: Ben Cordell, Simon Monsour, Milo McGuire, and Dominic Armstrong
Transcriptions: Katy Moore

Why this role?
80,000 Hours provides free research and support to help people find careers tackling the world’s most pressing problems.
Users can engage with our research in many forms: as longform articles published on our site, as a paperback book received via our book giveaway, as a podcast, or in smaller chunks via our newsletter. But we have relatively little support available in video format.
Time spent on the internet is increasingly spent watching video, and for many people in our target audience, video is the main way that they both find entertainment and learn about topics that matter to them.
We think that one of the best ways we could increase our impact going forward is to have a mature and robust pipeline for producing videos on topics that will help our audience find more impactful careers.
Back in 2017, we started a podcast; today, our podcast episodes reach more than 100,000 listeners, and are commonly cited by listeners as one of the best ways they know of to learn about the world’s most pressing problems. Our hope is that a video programme could be similarly successful — or reach an even larger scale.
We’ve also produced two ten-minute videos already that we were pleased with and got mostly positive feedback on. Using targeted digital advertising, we found we could generate an hour of engagement with the videos for just $0.40,

In today’s episode, host Luisa Rodriguez speaks with Sihao Huang about his work on AI governance and tech policy in China, what’s happening on the ground in China in AI development and regulation, and the importance of US–China cooperation on AI governance.
They cover:
Producer and editor: Keiran Harris
Audio engineering team: Ben Cordell, Simon Monsour, Milo McGuire, and Dominic Armstrong
Additional content editing: Katy Moore and Luisa Rodriguez
Transcriptions: Katy Moore

Why this role?
80,000 Hours provides free research and support to help people find careers tackling the world’s most pressing problems.
Since the launch of our marketing programme in 2022, we’ve increased the hours that people spend engaging with our content by 6.5x, reached millions of new users across different platforms, and now have over 500,000 newsletter subscribers. We’re also the largest single source of people getting involved in the effective altruism community, according to the most recent EA Survey.
Even so, it seems like there’s considerable room to grow further — we’re not nearly at the ceiling of what we think we can achieve. So, we’re looking for a new marketer to help us bring the marketing team to its full potential.
We anticipate that the right person in this role could help us massively increase our readership, and lead to hundreds or thousands of additional people pursuing high-impact careers.
As some indication of what success in the role might look like, over the next couple of years your team might have:

Why this role?
80,000 Hours provides free research and support to help people find careers tackling the world’s most pressing problems.
Since the launch of our marketing programme in 2022, we’ve increased the hours that people spend engaging with our content by 6.5x, reached millions of new users across different platforms, and now have over 500,000 newsletter subscribers. We’re also the largest single source of people getting involved in the effective altruism community, according to the most recent EA Survey.
Even so, it seems like there’s considerable room to grow further — we’re not nearly at the ceiling of what we think we can achieve. So, we’re looking for a new team lead to help us bring the marketing team to its full potential.
We anticipate that the right person in this role could help us massively increase our readership, and lead to hundreds or thousands of additional people pursuing high-impact careers.
As some indication of what success in the role might look like, over the next couple of years your team might have:

The idea this week: people pursuing altruistic careers often struggle with imposter syndrome, anxiety, and moral perfectionism. And we’ve spent a lot of time trying to understand what helps.
More than 20% of working US adults said their work harmed their mental health in 2023, according to a survey from the American Psychological Association.
Jobs can put a strain on anyone. And if you aim — like many of our readers do — to help others with your career, your work may feel extra demanding.
Work that you feel really matters can be much more interesting and fulfilling. But it can also sometimes be a double-edged sword — after all, your success doesn’t only matter for you but also for those you’re trying to help.
So this week, we want to share a roundup of some of our top content on mental health:

In today’s episode, host Luisa Rodriguez speaks to Pulitzer Prize finalist and New York Times bestselling author Annie Jacobsen about her latest book, Nuclear War: A Scenario.
They cover:
Producer and editor: Keiran Harris
Audio engineering team: Ben Cordell, Simon Monsour, Milo McGuire, and Dominic Armstrong
Additional content editing: Katy Moore and Luisa Rodriguez
Transcriptions: Katy Moore

This is the second part of our marathon interview with Carl Shulman. The first episode is on the economy and national security after AGI. You can listen to them in either order!
If we develop artificial general intelligence that’s reasonably aligned with human goals, it could put a fast and near-free superhuman advisor in everyone’s pocket. How would that affect culture, government, and our ability to act sensibly and coordinate together?
It’s common to worry that AI advances will lead to a proliferation of misinformation and further disconnect us from reality. But in today’s conversation, AI expert Carl Shulman argues that this underrates the powerful positive applications the technology could have in the public sphere.
As Carl explains, today the most important questions we face as a society remain in the “realm of subjective judgement” — without any “robust, well-founded scientific consensus on how to answer them.” But if AI ‘evals’ and interpretability advance to the point that it’s possible to demonstrate which AI models have truly superhuman judgement and give consistently trustworthy advice, society could converge on firm or ‘best-guess’ answers to far more cases.
If the answers are publicly visible and confirmable by all, the pressure on officials to act on that advice could be great.
That’s because when it’s hard to assess if a line has been crossed or not, we usually give people much more discretion. For instance, a journalist inventing an interview that never happened will get fired because it’s an unambiguous violation of honesty norms — but so long as there’s no universally agreed-upon standard for selective reporting, that same journalist will have substantial discretion to report information that favours their preferred view more often than that which contradicts it.
Similarly, today we have no generally agreed-upon way to tell when a decision-maker has behaved irresponsibly. But if experience clearly shows that following AI advice is the wise move, not seeking or ignoring such advice could become more like crossing a red line — less like making an understandable mistake and more like fabricating your balance sheet.
To illustrate the possible impact, Carl imagines how the COVID pandemic could have played out in the presence of AI advisors that everyone agrees are exceedingly insightful and reliable.
To start, advance investment in preventing, detecting, and containing pandemics would likely have been at a much higher and more sensible level, because it would have been straightforward to confirm which efforts passed a cost-benefit test for government spending. Politicians refusing to fund such efforts when the wisdom of doing so is an agreed and established fact would seem like malpractice.
Low-level Chinese officials in Wuhan would have been seeking advice from AI advisors instructed to recommend actions that are in the interests of the Chinese government as a whole. As soon as unexplained illnesses started appearing, that advice would be to escalate and quarantine to prevent a possible new pandemic escaping control, rather than stick their heads in the sand as happened in reality. Having been told by AI advisors of the need to warn national leaders, ignoring the problem would be a career-ending move.
From there, these AI advisors could have recommended stopping travel out of Wuhan in November or December 2019, perhaps fully containing the virus, as was achieved with SARS-1 in 2003. Had the virus nevertheless gone global, President Trump would have been getting excellent advice on what would most likely ensure his reelection. Among other things, that would have meant funding Operation Warp Speed far more than it in fact was, as well as accelerating the vaccine approval process, and building extra manufacturing capacity earlier. Vaccines might have reached everyone far faster.
These are just a handful of simple changes from the real course of events we can imagine — in practice, a significantly superhuman AI might suggest novel approaches better than any we can suggest here.
In the past we’ve usually found it easier to predict how hard technologies like planes or factories will change than to imagine the social shifts that those technologies will create — and the same is likely happening for AI.
Carl Shulman and host Rob Wiblin discuss the above, as well as:
Producer and editor: Keiran Harris
Audio engineering team: Ben Cordell, Simon Monsour, Milo McGuire, and Dominic Armstrong
Transcriptions: Katy Moore

This is the first part of our marathon interview with Carl Shulman. The second episode is on government and society after AGI. You can listen to them in either order!
The human brain does what it does with a shockingly low energy supply: just 20 watts — a fraction of a cent worth of electricity per hour. What would happen if AI technology merely matched what evolution has already managed, and could accomplish the work of top human professionals given a 20-watt power supply?
Many people sort of consider that hypothetical, but maybe nobody has followed through and considered all the implications as much as Carl Shulman. Behind the scenes, his work has greatly influenced how leaders in artificial general intelligence (AGI) picture the world they’re creating.
Carl simply follows the logic to its natural conclusion. This is a world where 1 cent of electricity can be turned into medical advice, company management, or scientific research that would today cost $100s, resulting in a scramble to manufacture chips and apply them to the most lucrative forms of intellectual labour.
It’s a world where, given their incredible hourly salaries, the supply of outstanding AI researchers quickly goes from 10,000 to 10 million or more, enormously accelerating progress in the field.
It’s a world where companies operated entirely by AIs working together are much faster and more cost-effective than those that lean on humans for decision making, and the latter are progressively driven out of business.
It’s a world where the technical challenges around control of robots are rapidly overcome, leading to robots into strong, fast, precise, and tireless workers able to accomplish any physical work the economy requires, and a rush to build billions of them and cash in.
It’s a world where, overnight, the number of human beings becomes irrelevant to rates of economic growth, which is now driven by how quickly the entire machine economy can copy all its components. Looking at how long it takes complex biological systems to replicate themselves (some of which can do so in days) that occurring every few months could be a conservative estimate.
It’s a world where any country that delays participating in this economic explosion risks being outpaced and ultimately disempowered by rivals whose economies grow to be 10-fold, 100-fold, and then 1,000-fold as large as their own.
As the economy grows, each person could effectively afford the practical equivalent of a team of hundreds of machine ‘people’ to help them with every aspect of their lives.
And with growth rates this high, it doesn’t take long to run up against Earth’s physical limits — in this case, the toughest to engineer your way out of is the Earth’s ability to release waste heat. If this machine economy and its insatiable demand for power generates more heat than the Earth radiates into space, then it will rapidly heat up and become uninhabitable for humans and other animals.
This eventually creates pressure to move economic activity off-planet. There’s little need for computer chips to be on Earth, and solar energy and minerals are more abundant in space. So you could develop effective populations of billions of scientific researchers operating on computer chips orbiting in space, sending the results of their work, such as drug designs, back to Earth for use.
These are just some of the wild implications that could follow naturally from truly embracing the hypothetical: what if we develop artificial general intelligence that could accomplish everything that the most productive humans can, using the same energy supply?
In today’s episode, Carl explains the above, and then host Rob Wiblin pushes back on whether that’s realistic or just a cool story, asking:
Finally, Carl addresses the moral status of machine minds themselves. Would they be conscious or otherwise have a claim to moral or rights? And how might humans and machines coexist with neither side dominating or exploiting the other?
Producer and editor: Keiran Harris
Audio engineering lead: Ben Cordell
Technical editing: Simon Monsour, Milo McGuire, and Dominic Armstrong
Transcriptions: Katy Moore

The idea this week: the cynical case against voting and getting involved in politics doesn’t hold up.
Does your vote matter? Around half of the world’s population is expected to see national elections this year, and voters in places like Taiwan, India, and Mexico have already gone to the polls. The UK and France both recently scheduled elections.
And of course, the 2024 US national election campaigns are off and running, with control of the House of Representatives, the Senate, and the White House in contention — as well as many state houses, governorships, and other important offices.
Sometimes people think that their vote doesn’t matter because they’re just a drop in the ocean.
But my colleague Rob has explored the research on this topic, and he concluded that voting can actually be a surprisingly impactful way to spend your time. So it’s not just your civic duty — it can also be a big opportunity to influence the world for the better.
That’s because, while the chance your vote will change the outcome of an election is small, it can still matter a lot given the massive impact governments can have.
To take a simple model: if the US government discretionary spending is $6.4 trillion over four years, and you have a 1 in 10 million chance of changing the outcome of the national election,

It’s very plausible that there will be a nuclear war this century. If that does happen, there’s a reasonable chance that war would cause some kind of nuclear winter, potentially killing billions, and possibly causing an existential catastrophe.
Nuclear security is already a major topic of interest for governments, but has little attention from philanthropists and NGOs, so we think there are likely some neglected opportunities to reduce the risk.
Most opportunities to influence the risk from nuclear weapons seem to be through working in government, researching key questions, working in communications to advocate for changes, or attempting to build the field (for example, by earning to give).

The idea this week: your career choices may be much more important than you think — and we have a lot of resources to help you think them through.
Your career is one of your biggest opportunities to make a difference in the world and also have a rewarding and interesting life.
That’s why we wrote our career guide — to help people create a career plan that’s aimed at having a positive impact and a fulfilling career.
But there’s a lot of ground to cover, so we couldn’t do it all in a single book.
That’s why we wrote our advanced series. It covers our most in-depth research on questions like:
We hope the articles in our advanced series help you tackle these questions and accelerate you along your path to an impactful career.
See the whole series here or just browse selected topics below.

In today’s episode, host Luisa Rodriguez speaks to Eric Schwitzgebel — professor of philosophy at UC Riverside — about some of the most bizarre and unintuitive claims from his recent book, The Weirdness of the World.
They cover:
Producer and editor: Keiran Harris
Audio engineering lead: Ben Cordell
Technical editing: Simon Monsour, Milo McGuire, and Dominic Armstrong
Additional content editing: Katy Moore and Luisa Rodriguez
Transcriptions: Katy Moore

In today’s episode, host Luisa Rodriguez speaks to Rachel Glennerster — associate professor of economics at the University of Chicago and a pioneer in the field of development economics — about how her team’s new Market Shaping Accelerator aims to leverage market forces to drive innovations that can solve pressing world problems.
They cover:
Producer and editor: Keiran Harris
Audio Engineering Lead: Ben Cordell
Technical editing: Simon Monsour, Milo McGuire, and Dominic Armstrong
Additional content editing: Katy Moore and Luisa Rodriguez
Transcriptions: Katy Moore

In today’s episode, host Luisa Rodriguez speaks to Matt Clancy — who oversees Open Philanthropy’s Innovation Policy programme — about his recent work modelling the risks and benefits of the increasing speed of scientific progress.
They cover:
Producer and editor: Keiran Harris
Audio engineering lead: Ben Cordell
Technical editing: Simon Monsour, Milo McGuire, and Dominic Armstrong
Additional content editing: Katy Moore and Luisa Rodriguez
Transcriptions: Katy Moore
This was originally posted on benjamintodd.substack.com.
If transformative AI might come soon and you want to help that go well, one strategy you might adopt is building something useful that will improve as AI gets more capable.
That way if AI accelerates, your ability to help accelerates too.
Here’s an example: organisations that use AI to improve epistemics — our ability to know what’s true — and make better decisions on that basis.
This was the most interesting impact-oriented entrepreneurial idea I came across when I visited the San Francisco Bay area in February. (Thank you to Carl Shulman who first suggested it.)
Navigating the deployment of AI is going to involve successfully making many crazy hard judgement calls, such as “what’s the probability this system isn’t aligned” and “what might the economic effects of deployment be?”
Some of these judgement calls will need to be made under a lot of time pressure — especially if we’re seeing 100 years of technological progress in under 5.
Being able to make these kinds of decisions a little bit better could therefore be worth a huge amount. And that’s true given almost any future scenario.
Better decision-making can also potentially help with all other cause areas, which is why 80,000 Hours recommends it as a cause area independent from AI.
So the idea is to set up organisations that use AI to improve forecasting and decision-making in ways that can be eventually applied to these kinds of questions.