bunnie, Sean "xobs" Cross
Xous is a message-passing microkernel implemented in pure Rust, targeting secure embedded applications. This talk covers three novel aspects of the OS: hardware MMU support (and why we had to make our own chip to get this feature), how and why we implemented the Rust standard library in Rust (instead of calling the C standard library, like most other Rust platforms), and how we combine the power of Rust semantics with virtual memory to create safe yet efficient asynchronous messaging primitives. We conclude with a short demo of the OS running on a new chip, the "Baochip-1x", which is an affordable, mostly-open RTL SoC built in 22nm TSMC, configured expressly for running Xous.
bleeptrack
Join bleeptrack for a deep dive into the fascinating world of procedural generation beyond the screen. From stickers and paper lanterns to PCBs, furniture, and even physical procedural generators, this talk explores the challenges and creative possibilities of bringing generative projects into tangible form.
Benny, KI-lian, BratscherBen
KIs (bzw. LLMs) wirken immer menschlicher. Schon längst ist es schwer bis unmöglich zu erkennen, ob ein Text von einer KI oder einem Menschen geschrieben wurde. Maschinen dringen immer mehr in den menschlichen Diskurs ein. Wir wollen das nicht länger hinnehmen und drehen den Spieß um.
Ting-Chun Liu, Leon-Etienne Kühr
Generative AI models don't operate on human languages – they speak in **tokens**. Tokens are computational fragments that deconstruct language into subword units, stored in large dictionaries. These tokens encode not only language but also political ideologies, corporate interests, and cultural biases even before model training begins. Social media handles like *realdonaldtrump*, brand names like *louisvuitton*, or even *!!!!!!!!!!!!!!!!* exist as single tokens, while other words remain fragmented. Through various artistic and adversarial experiments, we demonstrate that tokenization is a political act that determines what can be represented and how images become computable through language.
willem
The TitanM2 chip has been central to the security of the google pixel series since the Pixel 6. It is based on a modified RISC-V design with a bignum accelerator. Google added some non standard instructions to the RISC-V ISA. This talk investigates the reverse engineering using Ghidra, and simulation of the firmware in python.
Chiao-Lin Yu (Steven Meow)
What happens when AI-powered criminals meet AI-powered hunters? A technical arms race where both sides are vibing their way through exploitation—and the backdoors write themselves. In October 2025, we investigated Taiwan's fake delivery scam ecosystem targeting convenience store customers. What started as social engineering on social media became a deep dive into two distinct fraud platforms—both bearing the unmistakable fingerprints of AI-generated code. Their developers left more than just bugs: authentication flaws, file management oversights, and database implementations that screamed "I asked LLM and deployed without reading." We turned their sloppiness into weaponized OSINT. Through strategic reconnaissance, careful database analysis, and meticulous operational security, we achieved complete system access on multiple fraud infrastructures. By analyzing server artifacts and certificate patterns, we mapped 100+ active domains and extracted evidence linking thousands of victim transactions worth millions of euros in fraud. But here's the twist: we used the same AI tools they did, just with better prompts. The takeaway isn't just about hunting scammers—it's about the collapse of the skill gap in both offense and defense. When vibe coding meets vibe hacking, the underground economy democratizes in ways we never anticipated. We'll share our methodology for fingerprinting AI-assisted crime infrastructure, discuss the ethical boundaries of counter-operations, and demonstrate how to build sustainable threat intelligence pipelines when your adversary can redeploy in 5 minutes. This talk proves that in 2025, the real exploit isn't zero-day—it's zero-understanding.
Manuel Rábade
The Emergency Alert System (EAS) and its SAME (Specific Area Message Encoding) protocol are public alerting technologies that broadcast short digital bursts over VHF triggering emergency messages on millions of receivers across North America. In Mexico, this technology was integrated into the Seismic Alert System (SASMEX) which more than 30 million people in the central part of the country rely on to prepare for frequent earthquakes. While new alerting technologies have emerged, the EAS-SAME network continues to play an important role for public safety in the U.S., Mexico, and Canada. Yet, the same small packets of bits that can help protect a city could also, in the wrong hands, destabilize it. This talk examines how these systems operate and reveals a troubling truth: spoofing these alerts is far easier than most people expect.