RUBIN SERIES: The Complete AI Research Mastery Program

From Zero to World-Class AI Researcher — Build, Train, and Optimize LLMs from Scratch

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THE UNCOMFORTABLE TRUTH

In 2026, everyone calls themselves an “AI engineer.” They’ve run prompts through ChatGPT. Fine-tuned models using Hugging Face wrappers. Built simple RAG pipelines.

Here’s what they can’t do:

Train a language model from scratch — not fine-tune, train from initialization
Write custom CUDA kernels outperforming hand-tuned implementations
Design novel architectures solving fundamental LLM limitations
Implement production-grade inference engines in Rust
Understand why attention mechanisms fail at scale — and how to fix them

The gap between “AI user” and “AI researcher” is wider than ever. While you wrap APIs, companies like OpenAI, Anthropic, and Thinking Machines Labs hire researchers who understand AI at the fundamental level — mathematics, systems, architecture, optimization.

This program closes that gap. Completely.

INTRODUCING THE RUBIN SERIES

A 3-volume, sequentially released masterclass by brainoidlabs transforming beginners and professionals into elite AI research candidates.

This isn’t another “prompt engineering” course. This is genuine AI research education — the kind that gets you hired at frontier labs.

VOLUME 1: Foundation — Building Your First World-Class LLM

The Rubin Model Family: 150M | 0.5B | 2B Parameters

What You’ll Master:

• Pre-training from scratch — Initialize weights, design tokenizers, curate datasets
• Full training pipeline — Data loading, checkpointing, evaluation
• Custom inference engine — You write the forward pass. No black boxes.
• Production deployment — Docker containers ready for real-world serving
• Complete codebase access — Both training AND inference code included

Deliverable: Three fully functional trained models with Docker deployments that you built yourself.

💰 TOTAL VALUE OF VOLUME 1: ₹8.7 LAKH

(Including actual training cost of all 3 models)

Three production-grade LLMs (150M, 0.5B, 2B parameters) costing ₹8.7 lakh+ to train independently — plus complete code, inference engines, and lifetime curriculum access.

Most “AI engineers” have never trained a model from scratch. After Volume 1, you’ll have done it three times at different scales — with ₹8.7 lakh worth of trained models in your portfolio.

VOLUME 2: Advanced Architecture & Systems Engineering

Solving Problems Others Don’t Know Exist

Standard Transformers are broken:

• Attention Sink — Wasted computation on padding tokens
• KV Cache Memory Bottlenecks — O(n²) memory scaling kills long-context performance
• Spectral Bias Failure — MLPs cannot capture high-frequency reasoning patterns

What You’ll Build:

• Novel modified architectures addressing all three failure modes
• High-performance Python DSL kernels matching/exceeding CUDA performance
• Paged Attention Kernel outperforming vLLM’s implementation
• Full Rust HTTP Server + Scheduler — production-grade inference infrastructure
• Revolutionary KV Cache — 75% memory reduction (1/4th storage for same context)
• Distributed Training with NVFP4 — Distributed training of models with NVIDIA B200 Gpus in NVFP4 Format

Deliverable: Complete optimized inference stack in Python DSL + Rust running circles around standard frameworks.

Systems-level optimization where real research happens. Skills that <1% of practitioners possess.

VOLUME 3: Post-Training & Alignment Mastery

From Base Model to Aligned Intelligence

What You’ll Implement:

• Supervised Fine-Tuning (SFT) — Instruction following, domain adaptation
• GRPO (Group Relative Policy Optimization) — Cutting-edge RLHF technique
• GSPO (Group Sequence Policy Optimization) — Novel sequence-level alignment methodology

PROJECT BRAIN-MYTHOS:

Anthropic Claude mythos Inspired AI Model — 3 Billion Parameters

BRAIN-MYTHOS — Our most ambitious project, inspired by Anthropic’s groundbreaking Claude Mythos research on constitutional AI and scalable oversight. BRAIN-MYTHOS worth 30 lakh to train. To be released as open-source

What Makes It Special:

• 3 Billion Parameter Model — Largest and most capable in the entire Rubin Series
• Constitutional AI Training — RLAIF (Reinforcement Learning from AI Feedback) with self-critique and red-teaming
• Mythos-Based Alignment — Models learning from structured narrative principles rather than raw reward signals
• Multi-Personality Capability — Single model adopting different constitutional frameworks by context
• Safety Without Sacrificing Capability — Advanced alignment maintaining reasoning power with robust safety

You’ll Build: Complete 3B parameter architecture optimized for constitutional training
Custom RLAIF implementation with AI feedback pipelines
Red-teaming framework for automated safety evaluation
Constitutional document processing system
Multi-objective reward modeling (helpfulness, honesty, harmlessness)
Production deployment with advanced safety guardrails

Deliverable: 3B parameter model demonstrating frontier-level alignment techniques — the capstone proving you’re ready for top-tier AI research roles.

“BRAIN-MYTHOS represents capability meeting safety — exactly where the most important AI research happens today.”

💎 WHAT MAKES THIS DIFFERENT

RELEASE SCHEDULE

“Content copying destroyed most AI education value. We refuse to let that happen here.”

• VOLUME 1 — AVAILABLE NOW (Foundation & Pre-training)
• VOLUME 2 — Coming Next (Architecture & Systems)
• VOLUME 3 — Final Release (Alignment & BRAIN-MYTHOS)

Early enrollees get priority access. Those who wait may pay significantly more or get locked out.

This is your window.

🏆 THE OUTCOME

Complete all volumes and you’ll have:

1. Five+ trained LLMs (up to 4B parameters) — portfolio pieces
2. BRAIN-MYTHOS (3B params) — Claude-mythos inspired AI model (worth 30 lakh+)
3. Custom inference engine with optimized kernels
4. Novel architectures solving real problems
5. Production deployment experience
6. Full alignment mastery — SFT, GRPO, GSPO
7. ₹8.7 lakh+ worth of production models — tangible assets you built
8. Complete understanding from math to metal, including safety

You won’t just “know AI.” You’ll build it, optimize it, align it, make it safe.

That’s the difference between being replaced by AI and building its future.

Sequential release. Early adopters get locked-in pricing + priority access. Everyone else watches the waitlist.

Designed by brainoidlabs | World-class AI research education for the next generation of builders