Google introduces Gemini 4 Carbon for cybersecurity and complex coding, with initial access limited to selected cyber ...

IQuest-Q1 AI model from Beijing lab IQuest Research is the largest known Muon optimizer deployment at 320 billion parameters, ...

The Railway Recruitment Board (RRB) has introduced significant changes to the recruitment process and exam pattern for the post of Station Master. Starting in 2026, recruitment for the Station Master ...

Mirendil Fern 0.1 is a from-scratch coding model with a 10M-token context window, built for agentic AI research.

As a matter of fact, I've also created an entire ensemble of models suited to a particular job that they do best, as I recently detailed last week, consisting of a research model, a coding model, and ...

At the root of AI's "instinct" are two types of learning. These are completion, which learns the probability of the next word ...

This review ranks ten providers across those layers. CoinStats API leads as the data layer that fits most crypto use cases.

Advancing Foundation Capabilities for Agentic CLI Systems, detailing the model's architecture, complete training pipeline, results across 30 benchmarks, and role in iterative model development.

Run Reflection’s Beam model on Google Cloud AI Hypercomputer with llm-d and NVIDIA Dynamo for up to 5x higher throughput and ...

Coding agents (systems where AI reads and writes code to perform tasks) spend most of their time waiting for model responses.

ANEMLL Forge 0.2.1 extends Qwen3.8-27B to a reported 192K context on a 32GB M6 Mac mini, expanding capacity without replacing ...

Qwen CMP 170HX enthusiasts have published a configuration for running Qwen3.8-Flash-Next on two NVIDIA mining cards, ...