8 02, 2026

Luma Ray 3.14: 1080p Video

2026-02-08T06:34:10+00:00

Luma Ray 3.14 delivers fast, cheap 1080p video generation with native resolution and batch mode. Ideal for marketers, educators, and developers looking to produce high‑quality clips quickly.

Luma Ray 3.14: 1080p Video2026-02-08T06:34:10+00:00
31 01, 2026

Mastering Parallel Agent Mode in Cursor 2.0

2026-01-31T08:51:36+00:00

Parallel Agent Mode in Cursor 2.0 lets you run up to eight AI agents at once, each on its own branch. This speeds up feature delivery, reduces merge conflicts, and keeps your codebase clean.

Mastering Parallel Agent Mode in Cursor 2.02026-01-31T08:51:36+00:00
30 01, 2026

SenseNova‑MARS: The First Open‑Source Agentic Vision‑Language Model

2026-01-30T06:34:41+00:00

SenseNova‑MARS is the first open‑source agentic vision‑language model that can see, reason, and act. Built on a hybrid transformer‑Mamba architecture, it offers low memory usage, fast inference, and built‑in policy controls for secure deployment.

SenseNova‑MARS: The First Open‑Source Agentic Vision‑Language Model2026-01-30T06:34:41+00:00
29 01, 2026

Sora 2 & Veo 3.1: Build Video Apps with Playcode.io

2026-01-29T06:35:06+00:00

This guide shows how to use Sora 2 and Veo 3.1 AI video models with Playcode.io to build responsive React/Tailwind web apps. It includes code snippets, styling tips, and best practices for prompt design and caching.

Sora 2 & Veo 3.1: Build Video Apps with Playcode.io2026-01-29T06:35:06+00:00
25 01, 2026

Local 4K AI Video

2026-01-25T06:34:57+00:00

A practical guide to creating 4K video locally using GPUs, Ollama, and AI tools. Includes workflow steps, troubleshooting, and resource links.

Local 4K AI Video2026-01-25T06:34:57+00:00
21 01, 2026

DeepSeek MODEL1 Architecture: Memory‑Efficient LLMs

2026-01-21T06:35:32+00:00

DeepSeek MODEL1 is a new large‑language‑model architecture that reduces GPU memory usage by 30 % and speeds up inference. It uses a new KV cache layout, sparsity handling, and FP8 decoding.

DeepSeek MODEL1 Architecture: Memory‑Efficient LLMs2026-01-21T06:35:32+00:00
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