DarkSeraph

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DarkSeraph

DarkSeraph

@DarkSeraphbb

Explorer of the DevOps rabbit hole | Software Engineer | Programming humor.

127.0.0:1 Katılım Ağustos 2012
112 Takip Edilen336 Takipçiler
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Data Science Dojo
Data Science Dojo@DataScienceDojo·
❓ Why do multi-agent systems exist? Context window limits in earlier models made single-agent setups fall apart on complex, multi-step tasks. That's the starting point Zaid Ahmed used in Session 7 of our Agentic AI Bootcamp. Here's what the session covered: - Reflection, tool use, and planning patterns, recapped before moving into multi-agent collaboration - MCP, A2A, and ACP protocols, and how they cut the manual work of extracting data from tool calls - A hierarchical multi-agent system with a research agent and a chart generator agent, wired together with LangChain Expression Language - Deep agents that spawn their own sub-agents and share artifacts through a virtual file system, sandboxed in isolated environments like Azure Containers - Prompt caching and semantic caching, with Redis handling the query-answer pairs Participants also built a prompt generator from scratch using LangGraph, the kind of hands-on exercise that turns "reflection pattern" from a slide into something you've actually shipped. One takeaway worth repeating: as agents get more autonomy, Human-in-the-Loop checkpoints stop being optional. Our next Agentic AI Bootcamp starts July 14, 2026. 10 weeks, instructor-led. Link in the comments. #AgenticAI #MultiAgentSystems #LangGraph #AIEngineering #MCP
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Dan Kornas
Dan Kornas@DanKornas·
LLM interpretability is a rabbit hole. This repo gives you a map. Awesome LLM Interpretability is a curated GitHub list of tools, papers, articles, groups, and a survey paper focused on understanding large language models. It helps you study the field faster by grouping practical tools, research papers, explainers, and communities into scan-friendly sections instead of chasing random bookmarks. Key features: • Tool index – links to LLM interpretability and analysis tools like LIT, TransformerLens, Inseq, ecco, Pythia, and Automated Interpretability • Paper list – collects academic and industry papers on topics like sparse probing, copy suppression, monosemanticity, causal tracing, and model editing • Article section – includes explainers and interactive resources on grokking, the logit lens, activation patching, causal scrubbing, and evaluation pitfalls • Community map – points to interpretability and alignment groups including PAIR, Alignment Lab AI, Nous Research, and EleutherAI • Contribution path – includes fork, branch, PR, review, and merge guidelines so the list can keep improving Free public GitHub repo. Link in the reply 👇
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hackyboiz
hackyboiz@hackyboiz2·
Hello, this is Hackyboiz! Following up on our Wipeload project announcement since returning to this account, Step 2 is finally live! This post covers the V8 Heap Sandbox introduced in Chrome 123, along with two distinct bypass methods. Feel free to check out the full breakdown on our blog! 👇 hackyboiz.github.io/2026/06/21/ji9… #Hackyboiz #BrowserExploit #Chrome
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datavorous
datavorous@datavorous_·
I tried to speedrun the QR_2 challenge of GPU MODE in 16 hours i stopped at 4.7ms, this was my first "proper" gpu mode contest. constraints being: no way to tokenmaxx, no gpu to profile against extensively. what I did to understand the math: > householder Reflection method to do QR decomposition - reading the problem statement multiple times - did a 3x3 matrix dry run by hand - consulted gemini for validation of my mental model - studied parallel prefix sums - drew out the tree structure on paper before writing a single line of code - thought of a simpler approach (blocked method) instead of directly jumping to the tree like implementation what worked: - blocked householder with GEMM trailing update - loading panels at ONCE into the SRAM - tuning block sizes to prevent spilling - tuning warp count for better occupancy - (unintended) pytorch fallback for n=4096 what did not work: - fp8/nvfp4 quantisation (precision violated) - Cholesky method (not allowed) - Mixed precision with iterative correction - TF32 global flag (failed tests lmao) - full panel resident in shared memory (spilled badly) takeaways: i didn't get a chance to do extensive kernel programming before, so I had to bet on my intuitions: - bytes moved is the real bottleneck, i have to reduce the round trips of data - asymptomatic wins can still lose in practise - if you're broke, tokenmaxxing is not an option. manual? doable, but time is a constraint. human x ai? hell yeah!
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𝐇𝐚𝐦𝐳𝐚 | Network Engineer (Aspiring)
Proxy vs VPN: They're not the same thing. A lot of people use the terms interchangeably, but they solve different problems. A proxy acts as a middleman between you and a website. Instead of connecting directly, your request goes through the proxy server first. The website sees the proxy's IP address, not yours. Simple enough. The catch? Most proxies only handle traffic from a specific application and often don't encrypt your data. A VPN goes a step further. It creates an encrypted tunnel between your device and the VPN server, routing all of your internet traffic through it. That means your ISP can't easily see what websites you're visiting, and websites see the VPN's IP address instead of yours. Think of it like this: A proxy changes your return address. A VPN changes your return address and seals the envelope. If your goal is simply changing your IP address, a proxy may be enough. If your goal is privacy and protecting your data while browsing, a VPN is usually the better option. Privacy ≠ Anonymity. And neither one makes you invisible online.
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XDA
XDA@xdadevelopers·
PowerToys Shortcut Guide changes how I navigate Windows, and it would've saved me hours if it were built-in bit.ly/44ro7hy
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Dark Web Intelligence
Dark Web Intelligence@DailyDarkWeb·
🇫🇷 France - Aude Department Government Database Allegedly Leaked A threat actor has released what is claimed to be a database belonging to aude.fr, the official government website of the Department of Aude in southern France. According to the post, the dataset contains 216,085 records and is being distributed publicly. The actor claims the information originates from August 2025. Allegedly Exposed Fields: * Gender * First and last names * Date of birth * Household information * Family composition data * Social assistance references * National identification numbers (NIR) * CAF identifiers * Minor status indicators * Age * Telephone numbers * Mobile numbers * Work phone numbers * Email addresses * Location information * Postal codes Potential Risks: * Identity theft and fraud * Social engineering campaigns * Targeted phishing attacks * Exposure of government service beneficiaries * Privacy violations affecting vulnerable individuals and families * Credential stuffing attempts against related government services Threat Actor Claims: * 216,085 records included * Data allegedly sourced from August 2025 * Dataset released publicly * Government-related administrative records included Analyst Note: If authentic, the presence of French national identifiers (NIR), social assistance references, household information, and contact details would make this significantly more sensitive than a typical contact database leak. Such datasets could enable highly targeted fraud and impersonation attempts against affected citizens. #DDW #Intelligence #DarkWeb #France
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IPCisco
IPCisco@ip_cisco·
Networking Basics!! ~ Cat Network Wiring Diagram!!! | IPCisco . Please Like & Retweet..:) . #network #ccna #cisco
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AI Crave
AI Crave@wecraveai·
10 LINKS THAT WILL CHANGE HOW YOU LOOK AT THE INTERNET FOREVER. Save this list. Most people will never see it. 1. haveibeenpwned.com Shows every data breach your email has ever leaked in. 2. behindtheemail.com Reveals every social profile and login tied to any email address. 3. amiunique.org Tells you how trackable your browser fingerprint really is. 4. dnsleaktest.com Checks if your VPN is actually working or silently exposing your real IP. 5. justdeleteme.xyz Direct links to delete your account from any major service. 6. virustotal.com Scans any file or link against 70+ antivirus engines in seconds. 7. exposing.ai Shows if your face was used to train AI models without consent. 8. browserleaks.com Exposes every piece of data your browser leaks to websites. 9. shouldiremoveit.com Tells you which apps on your PC are bloatware or spyware. 10. 12ft.io Removes paywalls from news sites so reading stays free. Thanks me later.
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