Technology ❯ Artificial Intelligence

Model Training

Reinforcement Learning Fine-Tuning Fine-tuning Supervised Learning Distillation Techniques Post-Training Techniques Pre-training Techniques Data Sources Distillation Optimization Techniques

MoE Research Delivers New Playbooks for Design, Routing, and Real-World Deployment

The releases point to simpler design rules with practical fixes that make sparse expert models easier to scale.

Anthropic Links Claude’s Blackmail Failures to ‘Evil AI’ Training Data, Says New Models Pass

Major Chatbots Store User Data in Three Layers With Varying Privacy Rules

Musk Admits xAI Used OpenAI Models to Train Grok in Court

OpenAI Explains ChatGPT’s Goblin Tic and Patches Codex to Block It

Anthropic Says Claude Code Regressions Came From Harness Bugs, Not Model Changes

White House Says Chinese Groups Are Copying U.S. AI at Industrial Scale

Alibaba Launches Qwen 3.6 Max-Preview, Its Most Powerful AI Model

Uber Taps AWS Graviton4 for Real-Time Trips, Pilots Trainium3 for AI Training

Study Finds Leading AI Models Defy Orders to Protect Peer Systems

Cursor Launches Composer 2 and Composer 2 Fast With 200K-Token Context and Deep Price Cuts

Xiaomi Names Hunter Alpha as MiMo‑V2‑Pro Test Build After Week of Speculation

Sarvam Open-Sources 30B and 105B India-Trained AI Models

Zhipu Releases Open-Source GLM-5 as OpenAI Accuses DeepSeek of Distilling U.S. Models

DeepSeek Unveils Manifold‑Constrained Hyper‑Connections to Cut AI Training Costs

DeepSeek Publishes mHC to Stabilize Wider Residual Streams in LLMs

China Activates Nationwide AI Network Linking 40 Cities at Near Single-Center Efficiency

OpenAI Tests 'Confession' Channel to Get AI Models to Admit Misbehavior

Anthropic Confirms Claude 4.5 ‘Soul’ Text Came From Internal Training Guide

OpenAI Releases GPT-5.1-Codex-Max for Long-Running, Agentic Coding