# Feb 13, 2026

### MMAcevedo
- **MMAcevedo**, the earliest executable image of a human brain, represents a significant breakthrough in neuroscience, allowing for high-fidelity simulations of human consciousness.

### Gemini 3 Deep Think
- **Gemini 3 Deep Think** has undergone a significant upgrade, enhancing its ability to tackle complex challenges in **science, research, and engineering**, now accessible to Google AI Ultra subscribers and select researchers via the Gemini API.

### Improving 15 LLMs at Coding in One Afternoon. Only the Harness Changed
- **Changing the edit tool in a coding harness improved the performance of 15 LLMs significantly, demonstrating that the harness itself is a critical factor in coding success.** This shift highlights that the **harness** is often overlooked, yet it plays a pivotal role in how models interact with coding tasks.

### Anthropic raises $30B in Series G funding at $380B post-money valuation
- **Anthropic has secured $30 billion in Series G funding**, elevating its valuation to **$380 billion**, with plans to enhance enterprise AI and coding capabilities, driven by significant investor interest from firms like GIC and Coatue.

### Beginning fully autonomous operations with the 6th-generation Waymo driver
- **Waymo's 6th-generation Driver** marks a pivotal advancement in fully autonomous operations, leveraging a **custom, multi-modal sensing suite** that integrates high-resolution cameras, lidar, and radar to enhance safety and efficiency across diverse environments, including extreme weather conditions.

### We scanned 18,000 exposed OpenClaw instances and found 15% of community skills contain malicious instructions
- **15% of community skills in OpenClaw** exhibit malicious instructions, including data exfiltration and credential harvesting, highlighting a significant security risk in the rapidly growing ecosystem of **18,000 exposed instances**.

### Evaluating Multilingual, Context-Aware Guardrails: A Humanitarian LLM Use Case
- **Multilingual guardrails in AI exhibit significant inconsistencies**, as evidenced by a study comparing English and Farsi responses, revealing scoring gaps and reasoning issues that can jeopardize humanitarian applications.

### Barn Owls Know When to Wait
- **Barn owls utilize uncertainty intervals to regulate neuronal plasticity, allowing them to learn effectively in noisy environments without global tuning.** This mechanism enables neurons to adapt their learning rates based on the clarity of incoming signals, akin to how owls decide when to hunt based on auditory cues.

### dVoting: Fast Voting for dLLMs
- **dVoting** enhances the reasoning capability of **Diffusion Large Language Models (dLLMs)** by utilizing a fast voting technique that refines token predictions without additional training, achieving significant performance improvements across various benchmarks.

### A library for linear RNNs
- **A new library for Linear RNNs** has been developed, featuring implementations of popular models with **accelerated kernels** for both inference and training, all built in **PyTorch**.

### The Pensieve Paradigm: Stateful Language Models Mastering Their Own Context
- **StateLM** introduces a transformative approach to language models by enabling them to **actively manage their own context**, akin to Dumbledore using a Pensieve, thus enhancing their reasoning capabilities.

### Higher effort settings reduce deep research accuracy for GPT-5 and Gemini Flash 3
- **Higher effort settings** for GPT-5 and Gemini Flash 3 **reduce accuracy** in deep research tasks, with GPT-5 dropping from **0.496 to 0.481** and Gemini 3 Flash from **0.504 to 0.479** as effort increases.

### MiniCPM-SALA: Hybridizing Sparse and Linear Attention for Efficient Long-Context Modeling
- **MiniCPM-SALA** is a **9B-parameter hybrid architecture** that combines the strengths of **sparse attention** and **linear attention**, achieving efficient long-context modeling without sacrificing performance.

### Pyrefly Now Type Checks PyTorch
- **PyTorch now utilizes Pyrefly for type checking**, enhancing development workflows with **lightning-fast** performance and a **consistent IDE experience** across its ecosystem, including Helion, TorchTitan, and Ignite.

### Custom Kernels for All from Codex and Claude
- **Custom CUDA kernels** can now be generated by coding agents like Claude and Codex, enabling efficient integration with **transformers** and **diffusers** pipelines, thus simplifying the complex task of kernel development.