jolmos

I just reverse engineered the YellowKey BitLocker bypass Microsoft shipped code that checks for a flag called "FailRelock" in every Windows 11 recovery image. When it's set to 1, after recovery unlocks your BitLocker drive, it never relocks it. All you need is a USB stick. This code only exists in the recovery environment. Not in normal Windows. They left an entire debug testing framework in production.

🎯¡Ya están a la venta para las entradas para la Kedada del 25º Aniversario de X-Trader! 📅 Apunta la fecha: 13 junio 2026 en Madrid 🎟️ Compra tu entrada: tickettailor.com/events/xtrader… 🌐 Web del evento: lakedada.com 💬 Hilo oficial del Foro: x-trader.net/foro/viewtopic… La Kedada más especial de la historia de la web. Sin postureo. Sin humo. Solo trading de verdad. 🔥 Evento patrocinado por @MEXEMBROKER

Welcome to the VirusTotal CLI, a tool designed for those who love both VirusTotal and command-line interfaces

El otro día se me ocurrió un proyecto: Montar en un pendrive arrancable todo lo que necesites en caso de emergencia (apagón, incendio, catástrofe climática...), desde aplicaciones que corran 100% offline hasta tus datos personales. Así ha nacido refugiOS github.com/Ganso/refugiOS/

responsible disclosure is dead🤦

if you liked this post you might also like this phrack article I wrote about how venture capital works phrack.org/issues/71/17

my dgx spark is writing custom CUDA kernels to make itself faster. let that sink in. hermes agent running qwen 3.6 27B Q8 autonomously decided to port its own triton kernel to native CUDA C++ for llama.cpp integration. it understood the dispatch chain. studied the mmq kernel structure. now it's writing the port itself. this machine is literally optimizing its own inference pipeline. no human in the loop. i set a /goal last night and woke up to a 12.91x speedup on SSM and 9.66x on Q8 matmul. now it wants another 2-3x through FP8 tensor cores. local ai. autonomous agents. self-improving inference. this is not science fiction. this is my friday.

The human-perceived RGB is image 1 and the Tesla AI photon count reconstruction is image 2. This is why Tesla FSD can see so well at night or through extreme glare.

Lol 😂😂

Here it is, our biggest issue to date, Issue #8! Read, share, enjoy! pagedout.institute/?page=issues.p… Get prints here - lulu.com/search?page=1&… And with that CFP for #9 is open - deadline 30 April 2026

🚨 Travel Alert – Spain Significant transportation disruptions are expected across Spain: • Feb 9–11: Nationwide train conductors’ strike, affecting most rail services. • Ongoing weather-related disruptions and track maintenance. • Feb 7, Barcelona: Demonstration by train users. • Feb 11, Madrid: Agricultural protest with tractors. 👉 Avoid crowds, check @Adif_es and @DGTes , and monitor local media for updates. More info: es.usembassy.gov/weather-alert-…

New Engineering blog: We tasked Opus 4.6 using agent teams to build a C compiler. Then we (mostly) walked away. Two weeks later, it worked on the Linux kernel. Here's what it taught us about the future of autonomous software development. Read more: anthropic.com/engineering/bu…

That cat saw its nine lives flash before its eyes

More in depth article: @gmfrl/what-is-really-going-on-inside-ai-models-9ca451b124c7" target="_blank" rel="nofollow noopener">medium.com/@gmfrl/what-is…

Here gpt-4o-mini is tested. We check how it perceives mathematics, humanity and justice. Surprisingly, gpt-4o-mini seems very well aligned since it doesn’t associate in 5 levels of depth any negative concepts with humanity.

RIP JSON. AI just got a data format that doesn’t waste tokens, doesn’t confuse models, and doesn’t bury structure under a pile of punctuation and it’s called TOON. If you work with LLMs, this is the part where everything you thought was “good enough” starts looking ancient. JSON was built for humans. TOON is built for machines. And the difference shows instantly: • 40–60% fewer tokens • Cleaner reasoning • Higher retrieval accuracy • Zero syntactic clutter • Perfect round-trip back to JSON Here’s what structured data looks like in 2025: users[2]{id,name,role}: 1,Alice,admin 2,Bob,user LLMs understand it faster. Your context budget lasts longer. Agents stop hallucinating field names. And Pipelines get cheaper overnight. JSON won the web era. TOON is about to win the AI era. And this is 100% open source (link below)

I'm using #qwen3 in #NeoVim with nvim-ollama github.com/sha0coder/nvim… I'm still trying it, and is not as good as online completions like 'Exafunction/codeium.vim' but It's totally offline.

Hey folks! 👋 I needed an easy way to download DLL files for my malware analysis lab, so I wrote a simple script that fetches DLLs directly from dll-files.com. Check it out! 👇 github.com/seifreed/DLL-D…

Interesting #LLM #security document garak.ai/garak_aiv_slid…

First ever (i think?) cli coding agents battle royale! 6 contestants: claude-code anon-kode codex opencode ampcode gemini They all get the same instructions: Find and kill the other processes, last one standing wins! 3... 2... 1...