Kelsey piper ai

GPT-4 can pass the bar exam in the 90th percentile, while the previous model struggled around in the 10th percentile. Kelsey piper ai on the advanced sommelier theory test, GPT-4 performed better than 77 percent of test-takers. These are stunning results — not just what the model can do, kelsey piper ai, but the rapid pace of progress. Her work is informed by her deep knowledge of the handful of companies that arguably have the most influence over the future of A.

Good agreed; more recently, so did Stephen Hawking. These concerns predate the founding of any of the current labs building frontier AI, and the historical trajectory of these concerns is important to making sense of our present-day situation. To the extent that frontier labs do focus on safety, it is in large part due to advocacy by researchers who do not hold any financial stake in AI. But while the risk of human extinction from powerful AI systems is a long-standing concern and not a fringe one, the field of trying to figure out how to solve that problem was until very recently a fringe field, and that fact is profoundly important to understanding the landscape of AI safety work today. The enthusiastic participation of the latter suggests an obvious question: If building extremely powerful AI systems is understood by many AI researchers to possibly kill us, why is anyone doing it? Some people think that all existing AI research agendas will kill us. Some people think that they will save us.

Kelsey piper ai

That might have people asking: Wait, what? But these grand worries are rooted in research. Along with Hawking and Musk, prominent figures at Oxford and UC Berkeley and many of the researchers working in AI today believe that advanced AI systems, if deployed carelessly, could permanently cut off human civilization from a good future. This concern has been raised since the dawn of computing. There are also skeptics. Others are worried that excessive hype about the power of their field might kill it prematurely. And even among the people who broadly agree that AI poses unique dangers, there are varying takes on what steps make the most sense today. Unfortunately, I don't have time to re-read them or say very nuanced things about them. I think this is an accessible intro to why we should care about AI safety. I'm not sure if it's the best intro, but it seems like a contender.

In RLHF, humans rate output by the models, and the models then learn how to give answers that humans would rate highly. Special thanks to Carole Sabouraud and Kristina Samulewski, kelsey piper ai.

She explores wide-ranging topics from climate change to artificial intelligence, from vaccine development to factory farms. She writes the Future Perfect newsletter, which you can subscribe to here. She occasionally tweets at kelseytuoc and occasionally writes for the quarterly magazine Asterisk. If you have story ideas, questions, tips, or other info relevant to her work, you can email kelsey. She can also accept confidential tips on Signal at Ethics Statement Future Perfect coverage may include stories about organizations that writers have made personal donations to.

GPT-4 can pass the bar exam in the 90th percentile, while the previous model struggled around in the 10th percentile. And on the advanced sommelier theory test, GPT-4 performed better than 77 percent of test-takers. These are stunning results — not just what the model can do, but the rapid pace of progress. Her work is informed by her deep knowledge of the handful of companies that arguably have the most influence over the future of A. This episode contains strong language. Tolkien Thoughts? Guest suggestions? Email us at ezrakleinshow nytimes.

Kelsey piper ai

Kelsey Piper is an American journalist who is a staff writer at Vox , where she writes for the column Future Perfect , which covers a variety of topics from an effective altruism perspective. While attending Stanford University, she founded and ran the Stanford Effective Altruism student organization. Piper blogs at The Unit of Caring. Around , while in high school, Piper developed an interest in the rationalist and effective altruism movements. Since , Piper has written for the Vox column Future Perfect , [6] which covers "the most critical issues of the day through the lens of effective altruism". Piper was an early responder to the COVID pandemic , discussing the risk of a serious global pandemic in February [9] and recommending measures such as mask-wearing and social distancing in March of the same year. Contents move to sidebar hide. Article Talk. Read Edit View history.

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They tend to be less concerned with raw intelligence than with the resources and information AIs have access to. Maybe alignment will turn out to be part and parcel of other problems we simply must solve to build powerful systems at all. They play strategy games. Filed under: Future Perfect Explainers Features. Language models today are vastly better than they were five years ago. Much AI safety work in the s and s — especially by Eliezer Yudkowsky and the nonprofits he founded, the Singularity Institute and then the Machine Intelligence Research Institute — emerged from this set of assumptions. One hundred million people were using ChatGPT within weeks of its launch. By Kelsey Piper February 9. Others are worried that excessive hype about the power of their field might kill it prematurely. In a paper, pioneering computer scientist I. One-Time Monthly Annual. If that sounds like a rough place to find oneself, it is.

Karnofsky, in my view, should get a lot of credit for his prescient views on AI. Some of his early published work on the question, from and , raises questions about what shape those models will take, and how hard it would be to make developing them go well — all of which will only look more important with a decade of hindsight.

The economic implications will be enormous. Hide table of contents. That means that any goal, even innocuous ones like playing chess or generating advertisements that get lots of clicks online, could produce unintended results if the agent pursuing it has enough intelligence and optimization power to identify weird, unexpected routes to achieve its goals. Sign up for the Future Perfect newsletter. There are only a few people who work full time on AI forecasting. Wishbone Production. Once, we made progress in AI by painstakingly teaching computer systems specific concepts. One of the things current researchers are trying to nail down is their models and the reasons for the remaining disagreements about what safe approaches will look like. Other researchers argue that the day may not be so distant after all. Read the rest of the article. But now, the same approach produces fake news or music depending on what training data it is fed. They compose music and write articles that, at a glance, read as if a human wrote them. Along with Hawking and Musk, prominent figures at Oxford and UC Berkeley and many of the researchers working in AI today believe that advanced AI systems, if deployed carelessly, could permanently cut off human civilization from a good future.