# Feb 12, 2026

## Daily

### 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.

### 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.

### MiniMax M2.5 released: 80.2% in SWE-bench Verified
- The **MiniMax M2.5** model excels in real-world productivity, achieving **SOTA** performance in coding and agentic tasks, with notable scores of **80.2% in SWE-Bench Verified** and completing tasks **37% faster** than its predecessor, M2.1.

### GLM-OCR – A multimodal OCR model for complex document understanding
- **GLM-OCR** is a **multimodal OCR model** that enhances document understanding through innovations like **Multi-Token Prediction (MTP)** loss and a **two-stage pipeline** for layout analysis, achieving a top score of **94.62 on OmniDocBench V1.5**.

### Text classification with Python 3.14's ZSTD module
- **Python 3.14's zstd module** introduces a powerful tool for text classification, leveraging **incremental compression** to enhance efficiency and accuracy in machine learning tasks, particularly for small data sets.

### 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 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.

### Step 3.5 Flash: Open Frontier-Level Intelligence with 11B Active Parameters
- **Step 3.5 Flash** is a **sparse Mixture-of-Experts (MoE)** model that combines a **196B-parameter foundation** with **11B active parameters**, optimizing for **sharp reasoning** and **fast execution** in agentic intelligence.

### Show HN: Agent framework that generates its own topology and evolves at runtime
- **Hive** enables the creation of **autonomous, self-improving AI agents** through a framework that dynamically generates workflows based on user-defined goals, eliminating the need for hardcoding.

### The Problem with LLMs
- **LLMs are fundamentally flawed due to their reliance on plagiarism**, as they generate content by appropriating existing works without proper attribution, raising significant ethical concerns about copyright violations and the integrity of creative output.

### From specification to stress test: a weekend with Claude
- **Claude** successfully built a **distributed system** with **Byzantine fault tolerance**, achieving **thousands of requests per second** and sub-100ms latency, all through conversational specifications without writing implementation code.

### Lance table format explained with simple animations
- **Lance** is a new file format that enhances **random read optimization** and allows for **ad-hoc column additions** without data duplication, positioning it as a successor to Iceberg and Delta Lake.

### Show HN: 20+ Claude Code agents coordinating on real work (open source)
- **Lean 4 and Ensue Memory Network** enable **multi-agent collaborative theorem proving**, enhancing efficiency in complex problem-solving by leveraging parallel processing capabilities.

### Show HN: Pgclaw – A "Clawdbot" in every row with 400 lines of Postgres SQL
- **pgclaw** is an **open-source Postgres extension** that allows users to integrate AI agents directly into their database tables, enabling both simple LLMs and more complex "OpenClaw" agents to operate as a column data type.

### [R] I am looking for good research papers on compute optimization during model training, ways to reduce FLOPs, memory usage, and training time without hurting convergence.
- **Key areas of interest** include **mixed precision**, **gradient checkpointing**, and **optimizer efficiency**, which are essential for optimizing compute during model training without compromising convergence.