Research

In-depth analyses and case studies on artificial intelligence, large language models, and enterprise solutions.

From Chatbots to Digital Workers: Large Action Models (LAM) and Computer Use
• 17 min read • Autonomous Agents

From Chatbots to Digital Workers: Large Action Models (LAM) and Computer Use

LAM architectures and security protocols that do not just generate text but can control software via GUI using mouse and keyboard.

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Training is Over, Thinking Begins: Inference-Time Compute and System 2 Scaling
• 22 min read • Reasoning Engines

Training is Over, Thinking Begins: Inference-Time Compute and System 2 Scaling

New scaling laws (System 2) and Process Reward Models (PRM) that increase intelligence by extending "thinking time" before answering, rather than making models larger.

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Data Scarcity and Model Collapse: The Era of Synthetic Data Engineering
• 15 min read • Data Engineering

Data Scarcity and Model Collapse: The Era of Synthetic Data Engineering

The risk of "Model Collapse" emerging from the exhaustion of human data, and techniques like "Instruction Backtranslation" and "Evol-Instruct" used in training models like Phi/Llama.

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The End of the Pipeline Era: Native Multimodal (Omni) Architectures and Audio Tokenization
• 20 min read • Multimodal AI

The End of the Pipeline Era: Native Multimodal (Omni) Architectures and Audio Tokenization

Technical analysis of Native Multimodal models that bypass text to operate Speech-to-Speech with millisecond latency.

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The End of U-Net in Visual Generation: Diffusion Transformers (DiT) and Flow Matching
• 16 min read • Generative Vision

The End of U-Net in Visual Generation: Diffusion Transformers (DiT) and Flow Matching

Technical analysis of DiT, the architecture behind Stable Diffusion 3, Flux, and Sora, and the new paradigm of processing visual data as "tokens".

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Beyond Next-Token Prediction: World Models and JEPA Architecture
• 18 min read • Architecture

Beyond Next-Token Prediction: World Models and JEPA Architecture

Technical analysis of JEPA architecture and World Models, which move beyond Generative AI to establish causal relationships and simulate the physical world.

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