Archive for category: Event

Back in February I started testing the NeoStack AI Plugin by BETIDE STUDIO for AI assisted Unreal Engine game development.   The NeoStack AI plugin is still in Beta, and I am currently testing the latest beta version (v1.0.66).

In addition to using OpenRouter to run free LLM models, NeoStack AI recently added the capability to run my free local LLM models via Ollama running on my GeForce RTX-3080.

I am really excited to use their new Ollama Local LLM model capability so I can take advantage of the free processing power of my offline NVIDIA GeForce RTX-3080 Graphics card.

As a reminder, the key features of the NeoStack AI are:

• Multi-Agent Support – Connect to Claude Code, Gemini CLI, or OpenRouter
• Native Editor UI – Slate-based chat window with streaming responses
• Asset Generation – Create Blueprints, Materials, Behavior Trees, Data Tables and more
• Context Attachments – Attach Blueprint nodes or assets to your prompts
• Project Indexing – Automatic project indexing for context-aware suggestions

I’ll continue to keep you update on both my cloud and local LLM testing with NeoStack AI for Unreal Engine.

Epic Games recently acquired Meshcapade, a startup specializing in AI technologies for creating and animating hyper-realistic digital humans. Meshcapade, a spin-off from the Max Planck Institute for Intelligent Systems based in Tübingen, Germany, develops AI tools that generate precise 3D body models and animations from video recordings.

Meshcapade’s AI tools, built on the SMPL (Skinned Multi-Person Linear) parametric body model, primarily target and automate the body modeling and full-body motion capture stages in Epic’s MetaHuman pipeline, which currently relies on limited presets for bodies and less advanced video-based tracking for animation.

What Meshcapade Replaces in the current MetaHuman Pipeline:

1. Preset/Manual Body Modeling: Replaces MetaHuman Creator’s ~50 preset bodies and external sculpting/rigging with AI-generated custom SMPL bodies from a single image, video clip, or scan. It extracts precise shape, pose, and clothing details automatically—no manual adjustments needed.
2. Expensive Mocap Hardware: Replaces marker/suit-based systems (e.g., optical mocap studios) with markerless full-body capture from any camera (phone/webcam/pro). It tracks subtle motions like fingers/hands, camera movement, and multi-person scenes.
3. Fragmented Body Animation: Complements/enhances MetaHuman Animator’s body solve with superior AI-driven full-body mocap, reducing retargeting hassles (pre-acquisition the plugin existed; now it will become native).

With the acquisition, Epic says it’s “looking forward to working together to advance digital human technologies for use across gaming, film and entertainment.”  I’m personally looking forward to a much simpler MetaHuman creation and animation pipeline for video game development and virtual production. development.

The Lunar Lander coding simulation coding test ran without any problems at 6.12 tokens per second using LM Studio:

Below you can see the Task Manager Performance Chart for my NVIDIA GeForce RTX-3080 with 10GB VRAM;

Based on available benchmark data, it achieved the following scores on the specified evaluations:

GPQA: 75.2%
AIME 25: 91.6%
SWE-bench Verified: 59.2%

These results position it as a strong performer in its size class, particularly for coding and reasoning, outperforming comparably sized models like Qwen3-30B on SWE-bench Verified while maintaining lower resource requirements. Note that benchmarks can vary slightly based on evaluation configurations, but these figures are consistent across official sources and reviews.