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محتوای ارائه شده توسط LessWrong. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط LessWrong 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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"Propaganda or Science: A Look at Open Source AI and Bioterrorism Risk" by 1a3orn

41:50
 
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Manage episode 382848310 series 3364760
محتوای ارائه شده توسط LessWrong. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط LessWrong 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

I examined all the biorisk-relevant citations from a policy paper arguing that we should ban powerful open source LLMs.

None of them provide good evidence for the paper's conclusion. The best of the set is evidence from statements from Anthropic -- which rest upon data that no one outside of Anthropic can even see, and on Anthropic's interpretation of that data. The rest of the evidence cited in this paper ultimately rests on a single extremely questionable "experiment" without a control group.

In all, citations in the paper provide an illusion of evidence ("look at all these citations") rather than actual evidence ("these experiments are how we know open source LLMs are dangerous and could contribute to biorisk").

A recent further paper on this topic (published after I had started writing this review) continues this pattern of being more advocacy than science.

Almost all the bad papers that I look at are funded by Open Philanthropy. If Open Philanthropy cares about truth, then they should stop burning the epistemic commons by funding "research" that is always going to give the same result no matter the state of the world.
Source:
https://www.lesswrong.com/posts/ztXsmnSdrejpfmvn7/propaganda-or-science-a-look-at-open-source-ai-and
Narrated for LessWrong by TYPE III AUDIO.
Share feedback on this narration.
[125+ Karma Post]

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538 قسمت

Artwork
iconاشتراک گذاری
 
Manage episode 382848310 series 3364760
محتوای ارائه شده توسط LessWrong. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط LessWrong 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

I examined all the biorisk-relevant citations from a policy paper arguing that we should ban powerful open source LLMs.

None of them provide good evidence for the paper's conclusion. The best of the set is evidence from statements from Anthropic -- which rest upon data that no one outside of Anthropic can even see, and on Anthropic's interpretation of that data. The rest of the evidence cited in this paper ultimately rests on a single extremely questionable "experiment" without a control group.

In all, citations in the paper provide an illusion of evidence ("look at all these citations") rather than actual evidence ("these experiments are how we know open source LLMs are dangerous and could contribute to biorisk").

A recent further paper on this topic (published after I had started writing this review) continues this pattern of being more advocacy than science.

Almost all the bad papers that I look at are funded by Open Philanthropy. If Open Philanthropy cares about truth, then they should stop burning the epistemic commons by funding "research" that is always going to give the same result no matter the state of the world.
Source:
https://www.lesswrong.com/posts/ztXsmnSdrejpfmvn7/propaganda-or-science-a-look-at-open-source-ai-and
Narrated for LessWrong by TYPE III AUDIO.
Share feedback on this narration.
[125+ Karma Post]

  continue reading

538 قسمت

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