# Mar 5, 2026

Something is afoot in the land of Qwen

- **Qwen 3.5** models, recently released by Alibaba, showcase impressive capabilities, yet the team faces uncertainty following the resignation of lead researcher **Junyang Lin**, a pivotal figure in their development.

- **Fine-tune Qwen3.5 models** locally with Unsloth, achieving **1.5× faster training** and **50% less VRAM** usage compared to FA2 setups, with support for both **vision** and **text** fine-tuning.

- **Relicensing challenges** in open source are exemplified by the chardet project, which transitioned from LGPL to MIT using AI-assisted rewriting, raising questions about copyright compliance and derivative works.

- **Huginn identified 254 confirmed phishing sites in February 2026**, revealing that **83.9% were missed by Google Safe Browsing**, highlighting the limitations of reactive detection methods in combating rapidly evolving phishing tactics.

- **Clinejection** exploited a **prompt injection** in a GitHub issue title, leading to the **silent installation** of OpenClaw on **4,000 developer machines** through a compromised npm package.

- **NanoGPT Slowrun** has achieved **5.5x data efficiency** in just a week, significantly enhancing learning algorithms for language models by leveraging unlimited compute with limited data.

- The **d² Pullback Theorem** posits that the essence of Attention is a **d²-dimensional problem**, challenging the prevailing belief that it is **n²-dimensional**, revealing a fundamental misunderstanding of its intrinsic geometry.

- **AI's ability to re-implement code** is transforming software development, as demonstrated by an AI porting a library to a new language with a different design while maintaining similar functionality, highlighting the evolving landscape of coding practices.

- **Generative Flow Networks (GFlowNets)** significantly enhance radio propagation modeling by achieving speedups of **up to 10x on GPU** and **1000x on CPU**, while ensuring high coverage accuracy through intelligent path sampling.

- **ORION** is the first open-source system enabling **native training** of a 110M Transformer on the **Apple Neural Engine (ANE)**, overcoming limitations imposed by CoreML's opaque abstractions and lack of on-device training support.

- **Aura-State** is an open-source Python framework that compiles LLM workflows into **formally verified state machines**, enhancing reliability by integrating techniques from hardware verification and statistical learning.

- **Phi-4-reasoning-vision-15B** is a **15 billion parameter** multimodal reasoning model that excels in **math and science reasoning**, offering efficient performance across various vision-language tasks while minimizing compute costs.

- **GLiNER2** integrates **Named Entity Recognition**, **Text Classification**, **Structured Data Extraction**, and **Relation Extraction** into a single **205M parameter model**, enabling efficient processing without external dependencies.

- **Open-sourced framework** enables the creation of **physics-simulated humanoids** in Unity, utilizing **MuJoCo** for realistic dynamics and allowing on-device reinforcement learning (RL) training directly in Unity without external servers.

- The **EU AI Act** imposes stringent compliance standards on **high-risk models**, such as those used in **credit scoring** and **insurance pricing**, significantly affecting how data science practitioners develop and maintain these systems.