Crovax

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Crovax

Crovax

@Crovax4

OMSCS student at Georgia Tech (Machine Learning) "I'm here to reverse engineer malware and chew bubblegum and I'm all out of bubblegum"

Katılım Şubat 2018
360 Takip Edilen199 Takipçiler
Crovax
Crovax@Crovax4·
👀👀
andy nguyen@kevinnguyendn

Open-source Memory for Agents - OpenClaw, Hermes, Claude Code and more @karpathy just validated the exact memory architecture we open-sourced today. Detailed in our new arXiv paper. The idea here is that structured Markdown vaults are the gold standard for agent memory. However, the "compilation" of these vaults is usually too tedious for manual maintenance. It turns out you can just automate the whole curation layer. ByteRover solves this by automating the curation layer: Connecting nodes, links and context graphs while maintaining a human-readable Obsidian format. Token Efficiency: Save you tons of tokens (50-70% on average) because the tiered retrieval only pulls exactly the context the agent needs, instead of dumping massive files into the prompt. Proven Scalability: Benchmarked on Locomo & LongMemEval for production-grade latency and accuracy. Collaboration: Native support to sync and manage knowledge with your teammates and other agents. No vector DBs, zero infra. Just a native "second brain" for your agents that actually works out of the box.

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Ahmad
Ahmad@TheAhmadOsman·
friends don’t let friends use Claude Code in 2026 btw alternatives? Codex, Droid, Kimi Cli, OpenCode among others
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gengstah
gengstah@_gengstah·
Released WinDbg MCP — attach Claude (or any LLM) to a live Windows process and let it poke around. set breakpoints, read memory, walk the stack, load crash dumps. 55 tools over MCP. github.com/gengstah/windb…
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RSC ☀️🌲
RSC ☀️🌲@silver__tsuki·
I am a Stanford MSCS student in my final quarter & looking for full time positions My experience - NVIDIA GEAR: Worked on GR00T N1.6 - nemotron intern - Microsoft Research - Stanford AI Lab (CoRL, ICLR) - TA for: CS234 (RL), CS224R (Deep RL), CS153 Mutuals rt/comment 💚
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Crovax
Crovax@Crovax4·
@jsuarez You are one of the last remaining AI researchers who have not been LLM-pilled.
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Joseph Suarez 🐡
Joseph Suarez 🐡@jsuarez·
After much consideration, my users have convinced me to add documentation to PufferLib for use by LLMs. It will politely inform them to RTFM
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Crovax
Crovax@Crovax4·
This might be a wild question in 2026 but is anyone doing AI research outside of LLMs?
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Darius Houle (darbonzo)
Darius Houle (darbonzo)@dariushoule·
Today I pushed a majorly overdue feature to #x64dbg Automate and its MCP, remote debugging! Analysis targets can be isolated while driving x64dbg over the network. Full functionality is available over the wire. Also, Linux client support 🐧🎉
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Joseph Suarez 🐡
Joseph Suarez 🐡@jsuarez·
Anyone know a good 3d modeling + animation character artist with experience in low-poly? Our Puffer mascot deserves a bit of an upgrade for our next release + 3-5 animations. Expecting $2-3k budget, possibly $4-5k for someone experienced who can really bring him to life.
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RussianPanda 🐼 🇺🇦
RussianPanda 🐼 🇺🇦@RussianPanda9xx·
Great read from @struppigel on using LLMs for malware analysis the right way. TL;DR: LLMs can cut analysis time drastically but reports and verdicts still can't be trusted without human verification. They jump to conclusions, hallucinate, and misjudge findings. Use LLMs for scripting (unpackers, config extractors, deobfuscation) where output is verifiable.
Karsten Hahn@struppigel

New blog: Using LLMs the right way for malware analysis 💡Tips for building an autonomous AI analysis lab on a 12 yo laptop and getting stuff done faster without loss of accuracy. blog.gdatasoftware.com/2026/03/38381-…

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Crovax
Crovax@Crovax4·
@s4tan This post is refreshing lol. Definitely a bit annoying "LLMs can fully RE any sample"
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Antonio 's4tan' Parata
Ok, we get it, LLMs can reverse malware. But, I’d love to see a fully analysis (similar to what Check Point has done with XLoader) of SmokeLoader, GuLoader, POORTRY, FlawedGrace or Nymain. Not just toy malware
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Crovax
Crovax@Crovax4·
Star the PufferLib repo or your Claudebots, maulbots, mootbots or whatever you're calling it nowadays are going to crash!!
Joseph Suarez 🐡@jsuarez

@yacineMTB Star it on github! We're ~29 stars off from 5k

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Manning Publications
Manning Publications@ManningBooks·
Abstractions boost productivity. Until control & predictability matter more. CUDA for Deep Learning by @elliotarledge shows how to work directly with @nvidia GPUs, from first kernels to real GPU-level optimizations. MEAP is 50% off for a bit: hubs.la/Q041pcfD0
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Elliot Arledge
Elliot Arledge@elliotarledge·
Exciting news: CUDA for Deep Learning is live! The official launch announcement, including details about the 50% sitewide sale, will go live on February 3rd. I’ll be sharing more then, so stay tuned for updates and exclusive discounts. Thank you for your patience.
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Crovax
Crovax@Crovax4·
@yacinelearning A much needed rant. The amount of regurgitated AI slop is insane. It's good to see someone calling it out.
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Yacine Mahdid
Yacine Mahdid@yacinelearning·
here is a ~16min rant where I finally lost my godamn mind on the absolute state of technical AI contents. included in this mental breakdown: - review of the dumbest technical piece I've ever seen - tips for being a shady ai influencer - my sanity leaving my frail body
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Deep-ML
Deep-ML@real_deep_ml·
anyone interested in a student discount for deep-ml premium email me (info@deep-ml.com) * you must email me from your college email address
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Crovax
Crovax@Crovax4·
Gemini deep research: You're an expert in reverse engineering and pedagogy teaching. Create a beginner friendly training course, which includes utilizing agentic systems to aid in reverse engineering tasks, that will teach me how to apply AI concepts to the Reverse engineering process.
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BURKOV
BURKOV@burkov·
@yacineMTB Claude is so much better than ChatGPT, it isn't even close.
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kache
kache@yacineMTB·
chatGPT is so much better than claude, it isn't even close
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