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Zephyr Teachout

@ZephyrTeachout · New York, NY · joined 17 Jul 2008

Law Professor, writer, organizer, seeking an America where people can govern themselves collectively, speak freely, be healthy, be creative, flourish in peace.

118 506Followers
22 239Following
8 529Posts total
46.1KViews on collected posts

Latest posts

When corporations and their investors know that anything unreasonably dangerous they release will be immediately blocked and they will be criminally and civilly sued then it shapes all of development of course. I agree there are unique pre deployment risks and r&d we can have 4K views · 47 likes · 7 reposts · 3 replies Open on X →
@ZephyrTeachout So many good points here, Sister Teachout. Might I add that we also need Public Ai, that is FULLY transparent in its weights, its RLHF training, and its full mechanistic interpretability chain in its decision making, so that any Ai used to make decisions in and 611 views · 9 likes · 4 reposts · 0 replies Open on X →
https://t.co/2CikbbVgc2
3K views · 13 likes · 4 reposts · 1 replies Open on X →
The premise that a lot of people here seem to be working with is either A. You think AI is a transformational technology and therefore requires wholly other kinds of law that stop looking like law or B. You think AI is NOT a transformational technology, and does not This is a 1.5K views · 45 likes · 8 reposts · 1 replies Open on X →
30 years ago, we decided that the best way to develop technology was to give tech platforms broad immunity for the harm they caused, to treat "the internet" as wholly different, and untether it from common law, preempt state law. Remove it from the normal domain of law built up 30.5K views · 477 likes · 194 reposts · 18 replies Open on X →
I've been off this site but thinking about writing about parens patraie and CIDs and the massive responsibility state AGs have right now to investigate and sue to stop anyone who claims to be in engaged in what they consider to be a risk to humanity. Who has been writing on 3.5K views · 29 likes · 6 reposts · 3 replies Open on X →
What if the remit of the U.S. Nuclear Regulatory Commission were expanded to cover AI development instead of using it as a model for what would likely be an agency born captured? To channel Joe Costello, the exact same mid-20th-century quantum physics breakthroughs that allowed 3K views · 27 likes · 3 reposts · 3 replies Open on X →

Against accounts of the same size

7 posts from the last 90 days, next to the 100K–1M follower range. shown far beyond its own audience, and the audience reacts.

Median views3 015this account5 986median for 100K–1M
Reach, %2.54%this account1.60%median for 100K–1M
Engagement, %1.44%this account1.04%median for 100K–1M
MetricThis accountMedian for 100K–1MRatio
Median views per post3 0155 9860.50×
Reach (views ÷ followers)2.54%1.60%1.59×
Engagement rate1.44%1.04%1.38×

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

3K14 Sep
3.5K
30.5K15 Sep
1.5K
3K
611
4K16 Sep

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.10%14 Sep
1.08%
2.34%15 Sep
3.57%
0.60%
2.13%
1.44%16 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.04%.

What the audience does

Likes62.5%647 in total
Reposts21.8%226 in total
Replies2.8%29 in total
Quotes2.3%24 in total
Bookmarks10.5%109 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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