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Coming September 4: an audio version of the 2023 80,000 Hours Career Guide also available on Amazon, Audible, and free on our website (https://80000hours.org/career-guide/). It contains 11 chapters, from 'What makes for a dream job?' to 'Which jobs help people the most?' to 'What’s the best way to gain connections?' It also has 9 appendices on a range of topics like 'All the evidence-based advice we found on how to be more successful in any job' and 'is it ever OK to take a harmful job in or ...
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Today’s release is a reading of our Great power conflict problem profile, written and narrated by Stephen Clare. If you want to check out the links, footnotes and figures in today’s article, you can find those here. And if you like this article, you might enjoy a couple of related episodes of this podcast: #128 – Chris Blattman on the five reasons …
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You have 80,000 hours in your career. That’s a long time. Spend one or two of those hours on this guide, to help you work out how to use the rest. We believe you might be able to find a career that is both more satisfying and has a greater positive impact.Oleh Benjamin Todd & the 80,000 Hours team
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Effective altruism is associated with the slogan "do the most good." On one level, this has to be unobjectionable: What could be bad about helping people more and more? But in today's interview, Toby Ord — moral philosopher at the University of Oxford and one of the founding figures of effective altruism — lays out three reasons to be cautious abou…
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Answer: Research shows that to have a fulfilling career, you should do something you’re good at that makes the world a better place. Don’t aim for a highly paid, easy job, or expect to discover your “passion” in a flash of insight. Find out the six key ingredients of fulfilling work.Oleh Benjamin Todd & the 80,000 Hours team
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Answer: Many common ways to do good, such as becoming a doctor, have less impact than you might first think. Other, more unconventional options, have allowed certain people to achieve an extraordinary impact (including one particular Lieutenant Colonel in the Soviet military).Oleh Benjamin Todd & the 80,000 Hours team
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Answer: With the right approach, you can make a major difference to the lives of others without changing jobs, or making a major sacrifice. You can do this by giving 10% of your income to the world’s poorest people, promoting important causes, or helping others to have a greater impact. Listen to learn about three ways to make a difference in any j…
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Answer: To maximise your impact, work on areas (1) that are large in scale, (2) that others neglect, and (3) where it’s possible to make progress. Many people fail to compare the scale of different problems, work on the same problems as everyone else, and support programmes with no evidence of impact. In this article we explain how to compare globa…
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Answer: Most people in rich countries who aim to do good work on health, poverty, and education in their home country. But health in poor countries is a bigger, more solvable problem, and only receives 4% of charitable donations. And we argue there are even bigger and more neglected issues, such as those involving existential risks and smarter-than…
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Answer: When we think of jobs that help people, medicine, teaching, and charity work are what first come to mind. But these are not always the highest-impact options. To help the most people, think broadly about the paths where you can make the biggest contribution, including research, communications and community-building, taking high-earning jobs…
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Answer: Especially early in your career, take options that will give you career capital — skills, connections, credentials, character, and runway that put you in a better position to make a difference. Examples include working at high-performing growing organisations, graduate studies in certain subjects such as economics, or learning concrete skil…
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Answer: Don’t expect to figure out what you’re best at right away, especially through introspection, going with your gut, or career tests. Instead, think like a scientist: make best guesses, clarify your key uncertainties, and then investigate those uncertainties by doing research and cheap tests. Early in your career, consider trying out several p…
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Answer: Rather than try to pinpoint the single best option, accept that your plan is likely to change. But don’t try to “keep your options open”. Instead, think about your career in three stages: exploring, building career capital, and deploying that career capital to have an impact. Then, sketch out a plan A, but also a plan B and plan Z in case i…
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Answer: Don’t just send out your CV in response to job listings. Get leads through your connections, and prove that you can do the work by actually doing some. When you get an offer, negotiate. Here we offer a summary of all the best advice on how to get the job you want.Oleh Benjamin Todd & the 80,000 Hours team
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Answer: Join a community of people working in the same area as you. You’ll get hundreds of connections at once. And two people working together effectively can achieve more than they could individually. Every community’s unique, so try out several and see which are best for you and your career. If you liked this guide, then you’ll probably share ai…
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Lots of people say they want to “make a difference,” “do good,” “have a social impact,” or “make the world a better place” — but they rarely say what they mean by those terms. By getting clearer about your definition, you can better target your efforts. So how should you define social impact?Oleh Benjamin Todd
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The trouble with self-help advice is that it’s often based on barely any evidence. Much other advice is just one person’s opinion, or useless clichés. But at 80,000 Hours, we’ve found that there are a number of evidence-backed steps that anyone can take to become more productive and successful in their career, and life in general. And as we saw in …
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Over the last couple of decades, a large and growing body of research has emerged which shows that our decisions are far from rational. We did a survey of this research to find out what it means for your career decisions.Oleh Benjamin Todd
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We aim to list issues where each additional person can have the most positive impact. So we focus on problems that others neglect, which are solvable, and which are unusually big in scale, often because they could affect many future generations — such as existential risks.Oleh Various authors
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Originally released in March 2021. Brian Christian is a bestselling author with a particular knack for accurately communicating difficult or technical ideas from both mathematics and computer science. Listeners loved our episode about his book Algorithms to Live By — so when the team read his new book, The Alignment Problem, and found it to be an i…
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Originally released in May 2023. Imagine you are an orphaned eight-year-old whose parents left you a $1 trillion company, and no trusted adult to serve as your guide to the world. You have to hire a smart adult to run that company, guide your life the way that a parent would, and administer your vast wealth. You have to hire that adult based on a w…
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Originally released in October 2018. Paul Christiano is one of the smartest people I know. After our first session produced such great material, we decided to do a second recording, resulting in our longest interview so far. While challenging at times I can strongly recommend listening - Paul works on AI himself and has a very unusually thought thr…
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Can there be a more exciting and strange place to work today than a leading AI lab? Your CEO has said they're worried your research could cause human extinction. The government is setting up meetings to discuss how this outcome can be avoided. Some of your colleagues think this is all overblown; others are more anxious still. Today's guest — machin…
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Originally released in August 2021. Chris Olah has had a fascinating and unconventional career path. Most people who want to pursue a research career feel they need a degree to get taken seriously. But Chris not only doesn't have a PhD, but doesn’t even have an undergraduate degree. After dropping out of university to help defend an acquaintance wh…
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Originally released in December 2022. Large language models like GPT-3, and now ChatGPT, are neural networks trained on a large fraction of all text available on the internet to do one thing: predict the next word in a passage. This simple technique has led to something extraordinary — black boxes able to write TV scripts, explain jokes, produce sa…
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Originally released in July 2020. 80,000 Hours, along with many other members of the effective altruism movement, has argued that helping to positively shape the development of artificial intelligence may be one of the best ways to have a lasting, positive impact on the long-term future. Millions of dollars in philanthropic spending, as well as lot…
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Originally released in May 2023. It’s easy to dismiss alarming AI-related predictions when you don’t know where the numbers came from. For example: what if we told you that within 15 years, it’s likely that we’ll see a 1,000x improvement in AI capabilities in a single year? And what if we then told you that those improvements would lead to explosiv…
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Originally released in July 2019. From 1870 to 1950, the introduction of electricity transformed life in the US and UK, as people gained access to lighting, radio and a wide range of household appliances for the first time. Electricity turned out to be a general purpose technology that could help with almost everything people did. Some think this i…
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Originally released in June 2022. 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 anyone can use it for free. This problem exists in extreme form for AI companies. These days, the electricity and equipment required to train cutting-edge machine le…
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Mustafa Suleyman was part of the trio that founded DeepMind, and his new AI project is building one of the world's largest supercomputers to train a large language model on 10–100x the compute used to train ChatGPT. But far from the stereotype of the incorrigibly optimistic tech founder, Mustafa is deeply worried about the future, for reasons he la…
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Originally released in November 2018. After dropping out of a machine learning PhD at Stanford, Daniel Ziegler needed to decide what to do next. He’d always enjoyed building stuff and wanted to shape the development of AI, so he thought a research engineering position at an org dedicated to aligning AI with human interests could be his best option.…
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Originally released in August 2022. Today’s release is a professional reading of our new problem profile on preventing an AI-related catastrophe, written by Benjamin Hilton. We expect that there will be substantial progress in AI in the next few decades, potentially even to the point where machines come to outperform humans in many, if not all, tas…
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Article originally published February 2022. In this episode of 80k After Hours, Perrin Walker reads our career review of China-related AI safety and governance paths. Here’s the original piece if you’d like to learn more. You might also want to check out Benjamin Todd and Brian Tse's article on Improving China-Western coordination on global catastr…
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"Do you remember seeing these photographs of generally women sitting in front of these huge panels and connecting calls, plugging different calls between different numbers? The automated version of that was invented in 1892. However, the number of human manual operators peaked in 1920 -- 30 years after this. At which point, AT&T is the monopoly pro…
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"There's no money to invest in education elsewhere, so they almost get trapped in the cycle where they don't get a lot from crop production, but everyone in the family has to work there to just stay afloat. Basically, you get locked in. There's almost no opportunities externally to go elsewhere. So one of my core arguments is that if you're going t…
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In July, OpenAI announced a new team and project: Superalignment. The goal is to figure out how to make superintelligent AI systems aligned and safe to use within four years, and the lab is putting a massive 20% of its computational resources behind the effort. Today's guest, Jan Leike, is Head of Alignment at OpenAI and will be co-leading the proj…
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