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محتوای ارائه شده توسط CSPI. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط CSPI یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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The Threat of AI Regulation with Brian Chau

1:12:49
 
اشتراک گذاری
 

Manage episode 407148034 series 2853093
محتوای ارائه شده توسط CSPI. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط CSPI یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

Brian Chau writes and hosts a podcast at the From the New World Substack, and recently established a new think tank, the Alliance for the Future.

He joins the podcast to discuss why he’s not worried about the alignment problem, where he disagrees with “doomers,” the accomplishments of ChatGPT versus DALL-E, the dangers of regulating AI until progress comes to a halt in the way it did with nuclear power, and more. With his background in computer science, Brian takes issue with many of those who write on this topic, arguing that they think in terms of flawed analogies and know little about the underlying technology. The conversation touches on a previous CSPI discussion with Leopold Aschenbrenner, and the value of continuing to work on alignment.

Brian’s view is that AI doomers are making people needlessly pessimistic. He believes that this technology has the potential to do great things for humanity, particularly when it comes to areas like software development and biotech. But the post-World War II era has seen many examples of government hindering progress, and AFF is dedicated to stopping that from happening with artificial intelligence.

Listen to the conversation here, or watch the video here.

Links

Donate to AFF

AFF manifesto

Brian on diminishing returns to machine learning, and discussing AI with Marc Andreessen

Vaswani et al. on transformers

Limits of current machine learning techniques


Get full access to Center for the Study of Partisanship and Ideology at www.cspicenter.com/subscribe
  continue reading

68 قسمت

Artwork
iconاشتراک گذاری
 
Manage episode 407148034 series 2853093
محتوای ارائه شده توسط CSPI. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط CSPI یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

Brian Chau writes and hosts a podcast at the From the New World Substack, and recently established a new think tank, the Alliance for the Future.

He joins the podcast to discuss why he’s not worried about the alignment problem, where he disagrees with “doomers,” the accomplishments of ChatGPT versus DALL-E, the dangers of regulating AI until progress comes to a halt in the way it did with nuclear power, and more. With his background in computer science, Brian takes issue with many of those who write on this topic, arguing that they think in terms of flawed analogies and know little about the underlying technology. The conversation touches on a previous CSPI discussion with Leopold Aschenbrenner, and the value of continuing to work on alignment.

Brian’s view is that AI doomers are making people needlessly pessimistic. He believes that this technology has the potential to do great things for humanity, particularly when it comes to areas like software development and biotech. But the post-World War II era has seen many examples of government hindering progress, and AFF is dedicated to stopping that from happening with artificial intelligence.

Listen to the conversation here, or watch the video here.

Links

Donate to AFF

AFF manifesto

Brian on diminishing returns to machine learning, and discussing AI with Marc Andreessen

Vaswani et al. on transformers

Limits of current machine learning techniques


Get full access to Center for the Study of Partisanship and Ideology at www.cspicenter.com/subscribe
  continue reading

68 قسمت

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