tweetindex
ES

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

Últimas publicaciones

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 →

Frente a cuentas del mismo tamaño

7 publicaciones de los últimos 90 días, junto al rango de 100K–1M seguidores. llega mucho más allá de su propia audiencia, y esa audiencia responde.

Visualizaciones medianas3 015esta cuenta5 986mediana de 100K–1M
Alcance, %2.54%esta cuenta1.60%mediana de 100K–1M
Interacción, %1.44%esta cuenta1.04%mediana de 100K–1M
MétricaEsta cuentaMediana de 100K–1MProporción
Visualizaciones medianas por publicación3 0155 9860.50×
Alcance (visualizaciones ÷ seguidores)2.54%1.60%1.59×
Tasa de interacción1.44%1.04%1.38×

Otras cuentas de este rango →   Comparar con otra cuenta →   Cómo se construyen estas referencias →

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.

Cuentas similares