The skills AI will make more valuable (and how to learn them)| benjamintodd.substack.com
I’m writing a new guide to careers to help AGI go well. Here's a summary of the key messages as they stand.| benjamintodd.substack.com
About half of people are worried they'll lose their job to AI. And they're right to be concerned: AI can now complete real-world coding tasks on GitHub, generate photorealistic video, drive a taxi more safely than humans, and do accurate medical diagnosis. And over the next five years, it's set to continue to improve rapidly. Eventually, mass automation and falling wages are a real possibility.| 80,000 Hours
Find out how to get more leverage to contribute to pressing world problems in many different career paths.| 80,000 Hours
I'm writing a new guide to careers to help artificial general intelligence (AGI) go well. Here's a summary of the bottom lines that'll be in the guide as it stands. Stay tuned to hear our full reasoning and updates as our views evolve. In short: The chance of an AGI-driven technological explosion before 2030 — creating one of the most pivotal periods in history — is high enough to act on.| 80,000 Hours
Many people take jobs early in their career that leave them stranded later on. Why does this happen and how can you avoid it?| 80,000 Hours
We argue that operations management is among the highest-impact roles in the effective altruism and existential risk communities right now, and address common misconceptions about the roles.| 80,000 Hours
Many people think of Superman as a hero. But he may be the greatest example of underutilised talent in all of fiction.| 80,000 Hours
Effective altruism is a project that aims to find the best ways to help others, and put them into practice. It’s partly a research field, which aims to identify the world’s most pressing problems and| www.effectivealtruism.org
See a brief update Aug 2022. In 2015, I argued that funding for effective altruism -- especially within meta or longtermist areas -- had grown faster than the number of people interested in it, and that this was likely to continue. This meant that there was a funding overhang, leading to a series of skill bottlenecks. A couple of years ago, I wondered if this trend was starting to reverse.| 80,000 Hours