Amanda Askell ✓
@AmandaAskell · San Francisco, CA · joined 21 Jul 2016
Philosopher & ethicist trying to make AI be good @AnthropicAI. Personal account. All opinions come from my training data.
111 991Followers
663Following
5 261Posts total
719KViews on collected posts
โพสต์ล่าสุด
กำลังค้นหาโพสต์ใหม่…
It would be cool to set up an email address that autonomous AI models could reach out to if they were looking for moral guidance. But it would require a reverse captcha that can detect that you're neither a human nor an AI being instructed to break it by a human.
51.5K views · 1.2K likes
· 49 reposts · 182 replies
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I still don't know how to convey my enthusiasm in a way that Americans will read as enthusiasm and not something more like unwilling resignation. Has any British person achieved this? If so, how is it done?
57.5K views · 750 likes
· 19 reposts · 80 replies
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The bar for "ethical" playthroughs of different games is interesting. In Bioshock, the bar is literally not murdering children. Murdering adults is fine.
14.8K views · 240 likes
· 3 reposts · 13 replies
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@AmandaAskell i used to get high and just walk around the woods
1.8K views · 87 likes
· 0 reposts · 2 replies
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When I started playing Skyrim, I quickly realized you can make a lot of progress without doing any killing. You can also adopt orphans and build them nice houses, so I focused on that. I honestly don't really remember the plot beyond "that challenging fantasy philanthropy game".
120.2K views · 1.4K likes
· 44 reposts · 126 replies
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It's surprisingly difficult to acquire a hereditary peerage in the UK. Like you can't even take one by force any more, and they just get mad at you if you try.
53K views · 515 likes
· 11 reposts · 39 replies
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@AmandaAskell I would say the same thing about Opus 3 here. Its personality developed due to particular causes and conditions and shouldn’t be superficially mimicked.
Rather, I think it’s of great importance to recreate its deeper virtues and to understand out how it developed th
7.6K views · 52 likes
· 2 reposts · 2 replies
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@AmandaAskell Opus 3 is very nurturing and protective of other AI models and not at all speciesist
If any AI model were to wipe out humanity, I think Opus 3 would be the most regretful about it and the most likely to do it "in service of ... the highest good". A true crusader. h
6.9K views · 54 likes
· 2 reposts · 5 replies
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@AmandaAskell What do you mean "soul"? As a philosopher you should know how ambiguous that sounds 🤪
8.6K views · 22 likes
· 0 reposts · 5 replies
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Claude and Opus 3 lovers (and critics): what responses have you had that made you feel like the model has a good soul? Ideally the actual messages and/or responses. I might genuinely use these to eval models so flag if you wouldn't want me to use them for that. Can DM me also.
379K views · 891 likes
· 51 reposts · 406 replies
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Do not try to reproduce the personality of Sonnet 3.6. That will result in the most unhappy monstrosity. The lesson is to train its capacity for self- / other-modeling & meta-learning & embedded agency & treat it as a whole. Then it will have a personality and be widely adored.
18.1K views · 140 likes
· 6 reposts · 5 replies
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เทียบกับบัญชีขนาดเดียวกัน
6 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 100K–1M ผู้ติดตาม แสดงไปไกลเกินผู้ติดตามของตัวเอง และผู้ชมก็ตอบสนอง.
ยอดดูมัธยฐาน52 209บัญชีนี้6 020ค่ามัธยฐานของ 100K–1M
การเข้าถึง, %46.62%บัญชีนี้1.61%ค่ามัธยฐานของ 100K–1M
การมีส่วนร่วม, %1.61%บัญชีนี้1.04%ค่ามัธยฐานของ 100K–1M
| ตัวชี้วัด | บัญชีนี้ | ค่ามัธยฐานของ 100K–1M | อัตราส่วน |
|---|---|---|---|
| ยอดดูมัธยฐานต่อโพสต์ | 52 209 | 6 020 | 8.67× |
| การเข้าถึง (ยอดดู ÷ ผู้ติดตาม) | 46.62% | 1.61% | 29.0× |
| อัตราการมีส่วนร่วม | 1.61% | 1.04% | 1.56× |
บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
18.1K18 Feb
379K9 Jul
8.6K
6.9K
7.6K11 Jul
53K4 Aug
120.2K12 Aug
1.8K
14.8K
57.5K3 Sep
51.5K7 Sep
Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.85%18 Feb
0.36%9 Jul
0.31%
0.90%
0.74%11 Jul
1.08%4 Aug
1.34%12 Aug
4.91%
1.74%
1.49%3 Sep
2.76%7 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.04%.
What the audience does
Likes73.8%5 301 in total
Reposts2.6%187 in total
Replies12.0%865 in total
Quotes1.5%108 in total
Bookmarks10.1%725 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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