Kelsey piper ai

That might have people asking: Wait, what? But these grand kelsey piper ai are rooted in research. Along with Hawking and Musk, kelsey piper ai, 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.

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.

Kelsey piper ai

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. Eliezer Yudkowsky and the Machine Intelligence Research Institute are representative of this set of views. In the last 10 years, rapid progress in deep learning produced increasingly powerful AI systems — and hopes that systems more powerful still might be within reach. More people have flocked to the project of trying to figure out how to make powerful systems safe. One might expect that these disagreements would be about technical fundamentals of AI, and sometimes they are.

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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?

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.

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.

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Some of them, like Christiano, became interested in the alignment problem independently. It is easy to design an AI that averts that specific pitfall. This episode contains strong language. Some of that research could potentially be valuable for preventing destructive scenarios. Can effective altruism stay effective? They are being developed to improve drone targeting and detect missiles. For more newsletters, check out our newsletters page. That is, perhaps, a discouraging introduction to a survey of open problems in AI safety as understood by the people working on them. 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. One might expect that these disagreements would be about technical fundamentals of AI, and sometimes they are. By Kelsey Piper February 2. Many experts are wary that others are overselling their field, and dooming it when the hype runs out.

Stephanie Sy Stephanie Sy. Layla Quran Layla Quran. In recent months, new artificial intelligence tools have garnered attention, and concern, over their ability to produce original work.

Our AI progress so far has enabled enormous advances — and has also raised urgent ethical questions. He thinks we are lemmings. It will add a quick-access bookmark. All selections have been cleared. They play strategy games. By Kelsey Piper February 9. We are just beginning to learn how to design an AI system that reads a book and retains an understanding of the concepts. The economic implications will be enormous. Who fakes cancer research? What you save is stored only on your specific browser locally, and is never sent to the server. Shawn Ryan Cumulus Podcast Network. Support our mission and help keep Vox free for all by making a financial contribution to Vox today. Turing, for example, envisioned that AIs might use a decision rule for weighing which action to take, as well as a process by which we could insert better and better decision rules. If you have story ideas, questions, tips, or other info relevant to her work, you can email kelsey. You can opt out at any time.