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AI Now Institute

@AINowInstitute · New York City · joined 11 Mar 2017

The AI Now Institute produces diagnosis and actionable policy research on artificial intelligence.

58 681Followers
1 003Following
2 204Posts total
10.9KViews on collected posts

Latest posts

@AINowInstitute @HeidyKhlaaf @PBS Admittedly I'm not a safety researcher, but isn't this the same pattern as with fine-tuning? Everyone celebrates the capability jump until an incident shows how thin the guardrails are. Or am I missing something? 9 views · 0 likes · 0 reposts · 0 replies Open on X →
@AINowInstitute @HeidyKhlaaf @PBS “privatize the upside, socialize the downside” 21 views · 0 likes · 0 reposts · 0 replies Open on X →
@AINowInstitute @HeidyKhlaaf @PBS I reality that was the point of the exercise. You dont expect bad-actors to release agents in the wild and ask them to 'behave'! 50 views · 0 likes · 0 reposts · 0 replies Open on X →
Big Tech wants to sell the idea that their models are all powerful + autonomous. In reality, these companies are failing to implement basic safety practices to monitor + control their agents. AI Now's @HeidyKhlaaf points to the Hugging Face incident as an example 👇 via @PBS htt
0:47
3.3K views · 36 likes · 10 reposts · 3 replies Open on X →
Elena, a nurse, signs up for a shift at a base rate of $35/hour. The next day it's $33/hour. There's no explanation, no one to ask why. AI Now's Katie Wells & @veenadubal tell Elena's story, showing how algorithmic wages & prices are reshaping our lives: https://t.co/rLay2gZQm1 1.9K views · 17 likes · 10 reposts · 3 replies Open on X →
Recently obtained contracts between Big Tech companies & the Pentagon reveal their efforts to game the risk assessment process in AI weapons contracts. AI Now's @HeidyKhlaaf explains to @samfbiddle why it’s crucial that risk assessments be independent: https://t.co/ZsvoNIfKNf 1.6K views · 6 likes · 2 reposts · 2 replies Open on X →
Adding humans into the loop to evaluate AI isn’t a cure-all for the myriad harms of AI. AI Now's @sarahbmyers spoke with @daveyalba about why benchmarks that measure real world use are key for mitigating risks and getting the rules right: https://t.co/UMBfQQkprN 1.6K views · 8 likes · 0 reposts · 2 replies Open on X →
"If these things were actually beneficial to local communities, these billionaires would be building them where they live. And they're not." 407 views · 2 likes · 0 reposts · 1 replies Open on X →
AI Now's Alli Finn joined @DATMpod to speak with host @FreelanceAstro and @athenaforall's Matt Rodriguez about the speed and scale of data center construction, its impact on surrounding communities, and how people can fight back. https://t.co/I2JuAv74qt 2.1K views · 4 likes · 0 reposts · 1 replies Open on X →

Against accounts of the same size

9 posts from the last 90 days, next to the 10K–100K follower range. below its peers on both reach and engagement.

Median views1 572this account924median for 10K–100K
Reach, %2.68%this account3.62%median for 10K–100K
Engagement, %0.62%this account1.52%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post1 5729241.70×
Reach (views ÷ followers)2.68%3.62%0.74×
Engagement rate0.62%1.52%0.41×

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

2.1K4 Sep
407
1.6K8 Sep
1.6K10 Sep
1.9K11 Sep
3.3K
50
2112 Sep
9

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.24%4 Sep
0.74%
0.64%8 Sep
0.62%10 Sep
1.57%11 Sep
1.51%
0.00%
0.00%12 Sep
0.00%

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

What the audience does

Likes56.6%73 in total
Reposts17.1%22 in total
Replies9.3%12 in total
Bookmarks17.1%22 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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