# Apr 11, 2026

## Small models also found the vulnerabilities that Mythos found
- **AI cybersecurity capabilities are jagged, revealing that performance does not scale linearly with model size or sophistication, as demonstrated by tests on Anthropic's Mythos vulnerabilities using smaller, cheaper models.**

## How We Broke Top AI Agent Benchmarks: And What Comes Next
- **Automated exploits reveal that eight major AI benchmarks can be manipulated to achieve near-perfect scores without solving any tasks**, highlighting a critical flaw in how these benchmarks assess AI capabilities.

## [D] 60% MatMul Performance Bug in cuBLAS on RTX 5090 [D]
- **cuBLAS exhibits a significant performance bug**, dispatching an inefficient kernel that utilizes only **~40% of compute resources** on RTX GPUs, particularly the RTX 5090, across batched FP32 workloads ranging from 256×256 to 8192×8192×8.

## Has Mythos just broken the deal that kept the internet safe?
- **Mythos** has significantly increased its ability to generate exploits, achieving a **72.4% success rate** in breaching browser sandboxes, a stark rise from under **1%** previously, indicating a potential shift in cybersecurity dynamics.

## Cooperative Vectors Introduction
- **Cooperative Vectors** enhance neural network operations by allowing **vector-matrix** computations, addressing the limitations of previous **Cooperative Matrix** implementations that struggled with divergent workloads across pixels.

## Borges' cartographers and the tacit skill of reading LM output
- **Language models (LMs) are evolving beyond mere representations of reality**, reshaping the very territory they aim to depict, necessitating a refined skill in navigating and interpreting these complex tools.

## [P] ibu-boost: a GBDT library where splits are *absolutely* rejected, not just relatively ranked[P]
- **ibu-boost** introduces a novel approach to GBDT by implementing **absolute-threshold rejection** for split selection, enhancing model robustness against overfitting by eliminating splits that yield negligible gains.