# Apr 8, 2026 ## Project Glasswing: Securing critical software for the AI era - **Project Glasswing** unites major tech firms to leverage Anthropic's **Claude Mythos Preview**, an AI model that autonomously identifies critical software vulnerabilities, surpassing human capabilities in cybersecurity. ## Assessing Claude Mythos Preview's cybersecurity capabilities - **Claude Mythos Preview** demonstrates exceptional capabilities in identifying and exploiting **zero-day vulnerabilities** across major operating systems and web browsers, marking a significant advancement in cybersecurity tools. ## S3 Files - **S3 Files** integrates Amazon Elastic File System (EFS) with S3, allowing seamless access to S3 data as a network-attached file system, thus eliminating the need for manual data copying and enhancing workflow efficiency. ## The Future of Everything Is Lies, I Guess - **LLMs are increasingly capable yet fundamentally flawed**, often generating plausible-sounding but inaccurate information, leading to a rise in misinformation and confusion in various domains. ## MegaTrain: Full Precision Training of 100B+ Parameter LLMs on a Single GPU - **MegaTrain** is a **memory-centric system** that enables the training of **100B+ parameter large language models** at full precision on a single GPU by utilizing host memory for parameters and optimizer states, thus treating GPUs as transient compute engines. ## Google open-sources experimental agent orchestration testbed Scion - **Google's Scion** is an experimental orchestration testbed that allows developers to manage **multi-agent systems** with isolated identities and shared workspaces, enhancing collaboration across local and remote environments. ## Show HN: Gemma 4 Multimodal Fine-Tuner for Apple Silicon - **Gemma Multimodal Fine-Tuner** enables fine-tuning on **text, images, and audio** using Apple Silicon, allowing users to train on large datasets without local storage constraints. ## Muse Spark: Scaling Towards Personal Superintelligence - **Muse Spark** is Meta's first multimodal reasoning model, designed to enhance personal superintelligence through advanced capabilities in perception, reasoning, and tool-use, with a focus on health applications and interactive experiences. ## 🤗Safetensors is Joining the PyTorch Foundation - **Safetensors has joined the PyTorch Foundation**, enhancing its community-driven governance and ensuring a vendor-neutral home for its development alongside other significant projects like DeepSpeed and Ray. ## Bitcoin and quantum computing - **Bitcoin's security is at risk from a cryptographically-relevant quantum computer (CRQC), necessitating urgent upgrades to its code and user wallets to maintain integrity.** The potential emergence of a CRQC poses a significant threat, with estimates suggesting a **10% chance of its existence by 2030**, highlighting the need for proactive measures in the Bitcoin ecosystem. ## [D] MemPalace claims 100% on LoCoMo and a "perfect score on LongMemEval." Its own BENCHMARKS.md documents why neither is meaningful. - **MemPalace's claims of "100% on LoCoMo" and a "perfect score on LongMemEval" are misleading, as they rely on flawed methodologies that bypass essential evaluation steps.** The project's own **BENCHMARKS.md** reveals that the reported scores are inflated due to structural issues and metric category errors, undermining their validity. ## Show HN: Unicode Steganography - **LLM steganography** demonstrates that AI models can embed covert messages in plain text using techniques like **zero-width characters** and **homoglyph substitution**, which remain undetectable to human readers but can be extracted by other models. ## [R] Hybrid attention for small code models: 50x faster inference, but data scaling still dominates - The **hybrid attention mechanism** in the Rust-focused language model achieved a **50x speedup in inference** while maintaining low perplexity, demonstrating that **data scaling** is more critical than architectural tweaks for performance improvements. ## LLM plays an 8-bit Commander X16 game using structured "smart senses" - **PvP-AI** revives a 1990 8-bit game, achieving **8.6 frames/s** in an emulator, but hardware limitations reduce it to **4 frames/s** due to a line drawing issue in the VERA module. ## In-Place Test-Time Training - **In-Place Test-Time Training (In-Place TTT)** enhances Large Language Models (LLMs) by allowing dynamic weight updates during inference, addressing limitations of the static "train then deploy" paradigm.