sjvnClose enough.
| Github | https://github.com/mikesiegel |
Mike Siegel
- 89 Followers
- 118 Following
- 523 Posts
I do various offsec stuff.
This is a good, fairly frank discussion of the benefits and draw backs of finding vulns with LLMs: https://www.youtube.com/watch?v=_IDbFLu9Ug8 even if you hate AI, I recommend you watch it.
AI Finds Vulns You Can't With Nicholas Carlini
I once went out with a QA engineer. After explaining what I do she said something I'll never forget "Wow... my job is to think like an idiot, your job is to think like an asshole".
RE: https://mastodon.social/@danluu/116317069604398190
This seems like a unique opportunity for malvertisers if it becomes widely used. "Too bad" it's only in the description. Although perhaps there are other components in the CI/CD pipeline that parse the description?
I feel like this is all my fault. I was just complaining to my coworker how I hate stego shit in CTFs because you almost never see it inrl. https://pwn.guide/free/cryptography/audio-steganography
"This Week in Security" referred them to as "Script Kiddies 2.0" but my buddy just told me a better term: slopkiddies.
Kevin Thomas ✅Today's Tutorial [March 28, 2026]
Lesson 142: x64 Course (Part 22 - Boot Sector Basics [Part 5])
This tutorial will discuss more boot sector basics.
GitHub - mytechnotalent/Reverse-Engineering: A FREE comprehensive reverse engineering tutorial covering x86, x64, 32-bit/64-bit ARM, 8-bit AVR and 32-bit RISC-V architectures.
A FREE comprehensive reverse engineering tutorial covering x86, x64, 32-bit/64-bit ARM, 8-bit AVR and 32-bit RISC-V architectures. - mytechnotalent/Reverse-Engineering
JA WestenbergWe have spent 100x more compute training AI to generate waifu art than to solve protein folding. I am not saying this is the Great Filter, but if aliens find our radioactive remains, they’re going to be very confused by the hard drives...
I find this funny in the New York Times: "Even on routine calls, the unit often rolls deep, with a convoy of emergency vehicles."
Sir, you are supposed to be a serious paper of record, tell the Millennial not to listen to Wu-Tang while writing an article.
Now I've gotta go listen to 36 Chambers.
Well this is fucking creepy. Can we make a version of afl for the human mind? https://ai.meta.com/blog/tribe-v2-brain-predictive-foundation-model/
Introducing TRIBE v2: A Predictive Foundation Model Trained to Understand How the Human Brain Processes Complex Stimuli
TRIBE v2 reliably predicts high-resolution fMRI brain activity — enabling zero-shot predictions for new subjects, languages, and tasks — and consistently outperforms standard modeling approaches.