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Garrison Lovely ✓

@GarrisonLovely · Brooklyn, NY · joined 08 Sep 2011

Author of Obsolete: The AI Industry's Trillion Dollar Race to Replace Us—and How to Stop It (Nation Books, Sept 29). Bylines: @NYTimes, @Nature, @BBC + others.

10 839Followers
5 568Following
6 781Posts total
340.6KViews on collected posts

Latest posts

a16z lobbyist calling state legislators regulating AI "bugs." Bold strategy, wonder if it'll pay off for them. https://t.co/659PeoI4iW 3K views · 53 likes · 5 reposts · 0 replies Open on X →
How Silicon Valley lost its war against state AI laws https://t.co/Kvrkag3Puh 31.9K views · 59 likes · 20 reposts · 4 replies Open on X →
Just wrote more about this: https://t.co/cfSTpK5U05 3.2K views · 11 likes · 2 reposts · 0 replies Open on X →
'no, the top of the slope isn't even really slippery.' 1.1K views · 25 likes · 1 reposts · 1 replies Open on X →
The AI race was already out of control. OpenAI just made it worse. The AI industry has presented itself as capable of self-governance through voluntary commitments. This has failed in many ways, but one place it has actually largely worked: companies avoid dangerous but tempting 4.1K views · 70 likes · 13 reposts · 2 replies Open on X →
Incredible. Joshua manages to defend OpenAI doing a thing the entire AI community (including OpenAI 10 months ago) agreed was reckless while attacking journalists for reporting that OpenAI is doing that thing. He doesn't even work there anymore, he's just doing this for the love 10.7K views · 218 likes · 9 reposts · 11 replies Open on X →
@GarrisonLovely Absolutely brutal 2.3K views · 15 likes · 1 reposts · 1 replies Open on X →
As long as possible turned out to be not that long! https://t.co/0qw6BmTqpL We should stop these companies from replacing us with machines that they clearly can't even control. I wrote a book on how: https://t.co/k7XOoxnaPP (and it comes out 4 weeks from today!) 8.2K views · 41 likes · 3 reposts · 0 replies Open on X →
OpenAI: At long last, we have created The Neuralese Model from the classic OpenAI blogpost from 10 months ago, Don't Create The Neuralese Model. https://t.co/NqyHkPLoX9 244.4K views · 1.4K likes · 133 reposts · 23 replies Open on X →
🚨 Update: My book Obsolete comes out Sept 29! 🚨 Preorder: https://t.co/k7XOoxnIFn That's a bit over 6 months after I finished the manuscript—lightning fast for book publishing, but an eternity in AI-world. An early reader asked me if I was pulling my hair out as https://t.co/7 31.7K views · 171 likes · 36 reposts · 15 replies Open on X →

Against accounts of the same size

10 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views6 150this account924median for 10K–100K
Reach, %56.74%this account3.62%median for 10K–100K
Engagement, %0.74%this account1.52%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post6 1509246.66×
Reach (views ÷ followers)56.74%3.62%15.7×
Engagement rate0.74%1.52%0.48×

Others in this range →   Compare with another account →   How these benchmarks are built →

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

31.7K26 Aug
244.4K2 Sep
8.2K
2.3K
10.7K
4.1K
1.1K
3.2K
31.9K
3K

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.74%26 Aug
0.65%2 Sep
0.54%
0.74%
2.23%
2.14%
2.56%
0.41%
0.28%
1.96%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes76.0%2 071 in total
Reposts8.2%223 in total
Replies2.1%57 in total
Quotes1.7%45 in total
Bookmarks12.0%328 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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