# Apr 10, 2026

### Scientists invented a fake disease. AI told people it was real
- **Bixonimania**, a fictitious disease created by researchers, was mistakenly validated by AI chatbots, demonstrating the potential for misinformation to spread rapidly through advanced language models.

### ETH Zurich demonstrates 17,000 qubit array with 99.91% fidelity
- **ETH Zurich researchers have developed a highly stable swap gate for qubits made of neutral atoms**, utilizing geometric phases that enhance robustness against experimental noise, paving the way for more reliable quantum computing operations.

### Research-Driven Agents: When an agent reads before it codes
- **Research-driven coding agents** outperform their code-only counterparts by generating deeper optimizations, as evidenced by a 15% increase in CPU inference speed for llama.cpp through five successful kernel fusions after a literature review phase.

### Reverse engineering Gemini's SynthID detection
- **Reverse-engineering Google's SynthID watermark** reveals a **90% detection accuracy** and a **multi-resolution spectral bypass** that significantly reduces watermark energy and phase coherence, achieving **43+ dB PSNR** across various image resolutions.

### US summons bank bosses over cyber risks from Anthropic's latest AI model
- **US Treasury Secretary Scott Bessent summoned major bank leaders** to address the **unprecedented cybersecurity risks** posed by Anthropic's Claude Mythos AI model, which has reportedly exposed thousands of software vulnerabilities.

### Robots Eat Cars
- **Modern cars are evolving into robot platforms**, with Tesla's shift from traditional vehicle production to manufacturing humanoid robots, indicating a broader trend in robotics across industries.

### PCA before truncation makes non-Matryoshka embeddings compressible: results on BGE-M3 
- **PCA enhances compressibility** of non-Matryoshka embeddings by concentrating signal into leading components, yielding significant improvements in cosine similarity scores after truncation: from **0.333 to 0.933** at 128d.

### 60% MatMul Performance Bug in cuBLAS on RTX 5090
- **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.

### The Training Example Lie Bracket
- **Training examples in neural networks can be viewed as vector fields**, where the Lie bracket quantifies the order dependence of updates, revealing how the sequence of training examples affects model parameters.

### 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.

### DMax: Aggressive Parallel Decoding for dLLMs
- **DMax** introduces a novel approach to **efficient diffusion language models (dLLMs)**, enhancing parallel decoding by reformulating it as a **progressive self-refinement** process, which significantly reduces error accumulation while maintaining generation quality.

### ibu-boost: a GBDT library where splits are *absolutely* rejected, not just relatively ranked
- **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.

### Small Vision-Language Models are Smart Compressors for Long Video Understanding
- **Tempo** is a novel framework that utilizes a **Small Vision-Language Model (SVLM)** to efficiently compress long videos, transforming token reduction into a cross-modal distillation process that enhances understanding without sacrificing fidelity.

### Faithful GRPO: Improving Visual Spatial Reasoning in Multimodal Language Models via Constrained Policy Optimization
- **Faithful GRPO (FGRPO)** enhances visual spatial reasoning in multimodal models by enforcing **logical consistency** and **visual grounding** through Lagrangian dual ascent, leading to significant improvements in reasoning quality.

### ChatGPT for research
- **ChatGPT** offers capabilities for conducting and enhancing research through advanced language processing.