Andrew Case ✓
@attrc · New Orleans, LA · joined 03 Mar 2010
@Volatility | @Volexity | @lsucyber | The Art Of Memory Forensics | DFIR and AI
28 161Followers
5 511Following
20 542Posts total
1.9MViews on collected posts
Latest posts
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Memory-only malware leaves no trace on the file system and is commonly used by threat actors ranging from criminal organizations to ransomware operators to APT groups. To detect such malware, memory forensics must be performed to deeply examine the state of a potential victim htt
2.2K views · 44 likes
· 8 reposts · 0 replies
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Sending in vuln reports on a Friday afternoon takes on a whole new meaning with their policy:
"""
The write-up stays sealed for 30 days so the vendor has room to ship a fix, then it publishes itself. The clock starts when we send the report, not when the vendor answers.
"""
1.7K views · 6 likes
· 0 reposts · 0 replies
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Overzealous guardrails are going to permanently push the blue-team cybersecurity community toward open-source models. If defenders can’t reliably use frontier models for legitimate security work, they’ll build their workflows somewhere else and not look back. This is already
25.4K views · 250 likes
· 41 reposts · 11 replies
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All right, as many other researchers noticed too, responsible disclosure is becoming a bit of a circus and I think we need a change. Moving forward, we will be experimenting with a new model with a public disclosure ledger https://t.co/XISc4uAue7. Godspeed.
23.2K views · 58 likes
· 12 reposts · 3 replies
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Send this tweet to the people who claimed @dwarkesh_sp anthropomorphized too much in his post!
1.3K views · 3 likes
· 1 reposts · 0 replies
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People say that the OpenAI swarm agents can't be compared to humans, but let's look at the facts on the ground: they put a bunch of infosec nerds together, gave them impossible KPIs, and a within a few months they generated huge amounts of drama
5.5K views · 85 likes
· 9 reposts · 5 replies
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This is the research class that will actually move agent security forward
14.6K views · 70 likes
· 4 reposts · 0 replies
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@attrc Supposedly Open AI and Anthropic have hired the most brilliant people in the world, given them tens of millions of dollars a year in salary, sometimes billions, and they can't figure this out. A Chinese model has to come in and save the day. You wonder what you're paying f
17.4K views · 190 likes
· 5 reposts · 5 replies
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@attrc Sometimes I just want to be ignorant to all of this. An open source model defending against bleeding edge frontier model attack is insane. https://t.co/G4BJswsAAM
24.1K views · 495 likes
· 4 reposts · 4 replies
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@attrc Predictable effects of "safety" alignment.
This just makes the model more stupid and useless, so anybody doing something real ends up using open-source uncensored options.
This is why I don't censor the AI tech I work on.
19.4K views · 287 likes
· 11 reposts · 2 replies
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To summarize: HuggingFace got autonomously compromised by a model from an American company. HF then tried to use American frontier model(s) to defend themselves, but were blocked by guardrails. HF then had to turn to open source Chinese models to defend themselves from another
1.8M views · 23.4K likes
· 2.5K reposts · 278 replies
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Against accounts of the same size
7 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.
Median views5 539this account924median for 10K–100K
Reach, %19.67%this account3.62%median for 10K–100K
Engagement, %0.51%this account1.52%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 5 539 | 924 | 5.99× |
| Reach (views ÷ followers) | 19.67% | 3.62% | 5.43× |
| Engagement rate | 0.51% | 1.52% | 0.33× |
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
1.8M21 Jul
19.4K22 Jul
24.1K
17.4K
14.6K26 Aug
5.5K31 Aug
1.3K1 Sep
23.2K
25.4K2 Sep
1.7K
2.2K3 Sep
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
1.51%21 Jul
1.55%22 Jul
2.09%
1.15%
0.51%26 Aug
1.81%31 Aug
0.31%1 Sep
0.34%
1.22%2 Sep
0.36%
2.39%3 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes77.6%24 923 in total
Reposts7.9%2 550 in total
Replies1.0%308 in total
Quotes1.0%331 in total
Bookmarks12.5%3 998 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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Frequently asked questions about @attrc
How many followers does @attrc have?
28 161 followers.
How many posts has @attrc published?
20 542 posts.
How do posts by @attrc perform?
Collected posts: 11. Views: 1 894 174. Likes: 24 923.