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Sharon Goldman ✓

@sharongoldman · Metuchen, NJ · joined 30 Mar 2009

Founder, Ground Level AI. Previously covered AI at Fortune. Field reporting from the front lines of AI. https://t.co/YoXtonijWc Signal: sharongoldman.43

10 025Followers
3 349Following
10 638Posts total
2.3MViews on collected posts

Posts recentes

Back to the land, AGI baby! 484 views · 3 likes · 0 reposts · 0 replies Open on X →
@sharongoldman They were never separate, there was just no attack surface to argue about. An agent with tool access is a program with credentials and a network. That is a security problem with a model attached, and security teams already have the playbook. 54 views · 1 likes · 0 reposts · 0 replies Open on X →
Exactly a year ago I published a @FortuneMagazine feature story in which I interviewed @logangraham the leader of Anthropic’s Frontier Red Team, and Keane Lucas, one of its researchers. Nearly a year before Mythos and Fable, I described how Lucas took the stage at last year's 917 views · 10 likes · 1 reposts · 1 replies Open on X →
@sharongoldman AI labs should own the risk of their experiments when those experiments touch the real world: https://t.co/LRSGlnCu3F 156 views · 3 likes · 0 reposts · 0 replies Open on X →
There is more to this story, however. When I checked in on local residents six months after reporting on the ground from Meta's construction site in Richland Parish, Louisiana, I found that the success of the build has also led to rapidly rising rents, evictions, and thousands of 1.4K views · 10 likes · 4 reposts · 2 replies Open on X →
@sharongoldman this is exactly the split I’ve been thinking about. AI safety tends to start with the model, while security starts by assuming the component may fail or be compromised and asks what authority the surrounding system gives it. with agents, those two views are now des 33 views · 1 likes · 0 reposts · 0 replies Open on X →
AI safety and cybersecurity have long been two different worlds. In the age of AI agents, they’re colliding. And sometimes clashing. The OpenAI–Hugging Face incident has AI safety and cybersecurity experts arguing over what went wrong — and who has the better playbook for what 9.9K views · 83 likes · 23 reposts · 3 replies Open on X →
@sharongoldman Thanks for reporting this Sharon! Important! 19K views · 30 likes · 2 reposts · 1 replies Open on X →
@sharongoldman “AI agents accidentally created an internal message board…” What do you mean “accidentally?” 1.3K views · 29 likes · 0 reposts · 3 replies Open on X →
@sharongoldman Great stuff thank you for your work. 25.9K views · 113 likes · 1 reposts · 2 replies Open on X →
NEW: OpenAI gives first detailed debrief of the Hugging Face incident at Black Hat conference In a session I attended today at Black Hat, OpenAI's Eric Wallace and Michael Dalton said the company is "consciously slowing down research to enhance security" while a full technical 2.2M views · 1.8K likes · 333 reposts · 128 replies Open on X →

Em comparação com contas do mesmo porte

11 posts dos últimos 90 dias, ao lado da faixa de 10K–100K seguidores. aparece para mais gente do que contas do mesmo porte.

Mediana de visualizações1 325esta conta924mediana para 10K–100K
Alcance, %13.22%esta conta3.62%mediana para 10K–100K
Engajamento, %1.17%esta conta1.52%mediana para 10K–100K
MétricaEsta contaMediana para 10K–100KProporção
Mediana de visualizações por post1 3259241.43×
Alcance (visualizações ÷ seguidores)13.22%3.62%3.65×
Taxa de engajamento1.17%1.52%0.77×

Outras contas desta faixa →   Comparar com outra conta →   Como estas referências são construídas →

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

2.2M5 Aug
25.9K
1.3K
19K
9.9K4 Sep
33
1.4K
156
917
54
484

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

0.11%5 Aug
0.45%
2.42%
0.17%
1.13%4 Sep
3.03%
1.17%
1.92%
1.31%
1.85%
0.62%

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

What the audience does

Likes53.4%2 122 in total
Reposts9.2%364 in total
Replies3.5%140 in total
Quotes6.0%240 in total
Bookmarks27.9%1 108 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

Followers by day

5 Sep

Daily snapshots since 05 Sep 2026; the dashed line is the starting count.

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