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[[{“value”:”In this video, we run an in-depth benchmark and stress-test on the stealth “Union Alpha” model across complex real-world agentic coding tasks.
From building real-time interactive Three.js/WebGL physics simulations (Black Hole accretion disk) to procedural 3D voxel scenes and game engines, we evaluate how this lightweight active-parameter architecture stacks up against frontier models like Claude Opus 5 and GPT-6 Astra.
📌 What We Cover:
• DeepSWE agentic benchmark & task pass rates
• Multi-turn tool execution & cache efficiency (up to 79% cache hit)
• Three.js WebGL real-time simulation generation
• Architectural deep dive: Causal encoder/decoder & sparse attention
• Full token cost and speed breakdown
LINKS:
https://openrouter.ai/stealth/union-alpha#providers
My voice to text App: whryte.com
Website: https://engineerprompt.ai/
RAG Beyond Basics Course:
https://prompt-s-site.thinkific.com/courses/rag
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https://tally.so/r/3y9bb0
💻 Pre-configured localGPT VM: https://bit.ly/localGPT (use Code: PromptEngineering for 50% off).
Signup for Newsletter, localgpt:
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TIMESTAMPS:
00:00 Meet Union Alpha
00:49 Benchmarks and Mystery Origins
02:33 DeepSeek Harness Visual Demos
04:47 Token Costs and Rate Limits
06:26 Tool Use Blender and Web Design
10:05 AutoML and Multimodal Vision Tests
13:56 Harness Shootout
#PromptEngineering #AI #DeepSeek #CodingAgents #LLM #MachineLearning”}]] Read More Prompt Engineering
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