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Chris Wysopal ✓

@WeldPond · Boston, MA · joined 06 Mar 2008

Hacker. Co-founder Veracode. Former L0pht security researcher. GenAI Auto-repair of vulns is the future

55 695Followers
1 025Following
30 543Posts total
70.9KViews on collected posts

Latest posts

Instead of slowing down AI, why not focus efforts on it writing secure code, one-shot, without additional intent? Why not build models that are excellent at patching vulnerable code when given a bug location. We don’t need better exploitation, we need better defensive moves. 3.1K views · 43 likes · 10 reposts · 8 replies Open on X →
Now that we are seeing frontier models maxing out exploit bench, are we going to soon see them improving on secure coding and patching benchmarks? 1.9K views · 16 likes · 2 reposts · 6 replies Open on X →
If attackers and defenders have the same access to AI tools, is it time to fix and deploy vs time to exploit? Is this being measured? 2.4K views · 13 likes · 4 reposts · 9 replies Open on X →
@WeldPond mcgraws codelets were a real swarm, hundreds of independent things running local rules. a swarm of gpt instances is one model queried a lot of times, so they correlate hard and whatever breaks one breaks all of them at once. a colony survives losing individuals, this do 51 views · 0 likes · 0 reposts · 0 replies Open on X →
"Agentic swarms have been all over the #MLsec news since the "OpenAI hacks Hugging Face" debacle. We think understanding colony behavior is a must. And we also surmise that the incident has not been completely understood...at all." - Gary McGraw of BML https://t.co/bFKX3Y5KB1 3.3K views · 15 likes · 5 reposts · 1 replies Open on X →
@WeldPond @chrisbward @L0phtHeavyInd Mudge has a great photo up 1.3K views · 23 likes · 0 reposts · 1 replies Open on X →
@WeldPond @L0phtHeavyInd They ( L0pht) told congress how gps on military devices must be encrypted or someone like Iran might steal a drone. If you are a fan of Law and Order you might recognize a member of the committee. https://t.co/f4GINAxgur 2.7K views · 34 likes · 1 reposts · 1 replies Open on X →
@WeldPond @L0phtHeavyInd I remember hanging out on https://t.co/WAd4RBIuzi via telnet. Good times :) 1.9K views · 23 likes · 0 reposts · 0 replies Open on X →
28 years ago today, 7 members of the hacking group @L0phtHeavyInd told the U.S. Senate they could "shut down the internet in 30 minutes." https://t.co/0ax5XRqyus
54.3K views · 818 likes · 134 reposts · 48 replies Open on X →

Against accounts of the same size

5 posts from the last 90 days, next to the 10K–100K follower range. ordinary reach for its size, weaker reaction than most.

Median views2 403this account924median for 10K–100K
Reach, %4.31%this account3.62%median for 10K–100K
Engagement, %1.08%this account1.52%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post2 4039242.60×
Reach (views ÷ followers)4.31%3.62%1.19×
Engagement rate1.08%1.52%0.71×

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

54.3K19 May
1.9K
2.7K
1.3K
3.3K4 Sep
515 Sep
2.4K6 Sep
1.9K9 Sep
3.1K14 Sep

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

1.89%19 May
1.23%
1.32%
1.92%
0.67%4 Sep
0.00%5 Sep
1.08%6 Sep
1.24%9 Sep
2.02%14 Sep

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

What the audience does

Likes68.6%985 in total
Reposts10.9%156 in total
Replies5.2%74 in total
Quotes1.9%27 in total
Bookmarks13.5%194 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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