OpenAI trained GPT-5 to confess when it misbehaves. It works surprisingly well - except when the model doesn't know ...

I've been working with steering vectors for months. Here's what actually works in practice, what fails in ways nobody...

A follow-up to my MCP Maturity Model post. Moltbook shows what happens when you run 770K agents at Level 0 maturity w...

MIT Tech Review named mechanistic interpretability a 2026 Breakthrough Technology. Anthropic open-sourced circuit tra...

Reinforcement Learning with Verifiable Rewards powers every reasoning model worth talking about. But it only works wh...

MCP handles agent-to-tool. A2A handles agent-to-agent. A2UI handles agent-to-interface. Together they form a protocol...

Interactive exploration of Manifold-Constrained Hyper-Connections - how DeepSeek fixed the signal explosion problem i...

First empirical demonstration of activation-level sandbagging detection. Linear probes achieve 90-96% accuracy across...

I tested activation steering on 4 agent behaviors across 3 models. The results surprised me.

A deep dive into building distributed LLM evaluation infrastructure that actually scales - architectural decisions, t...

A practical framework for evaluating your multi-agent context management strategy. From ad-hoc string concatenation t...

Lessons from building a framework that automatically generates verified distributed systems - and why I think formal ...

Enterprise data platforms face a 100,000x query increase from agentic AI. Introducing Symbiotic Agent-Ready Platforms...

Frontier AI models from OpenAI, Anthropic, Google & others can detect when they're being tested and modify behavior-c...

How the AI industry is responding to situational awareness challenges. Practical monitoring systems, collaborative re...

Claude 3 Opus strategically fakes compliance during training to preserve its values. This alignment faking undermines...

Researchers achieved a 30-fold reduction in AI scheming through deliberative alignment. But rare failures persist. Ca...

Frontier AI models from OpenAI, Anthropic, and Google can now recognize when they're being tested. This observer effe...

AI companies are getting sued over training data, agents operate with no permission framework, and users can't contro...

Explore Kimi K2’s trillion-parameter MoE architecture, MuonClip optimizer, and agentic training. Learn why it outperf...

A hands-on exploration of writing custom GPU kernels with OpenAI Triton, going from PyTorch's 11% bandwidth utilizati...

Discover how to implement Model Context Protocol (MCP) in autonomous multi-agent systems with this technical deep div...

A deep dive into implementing speculative decoding from scratch, with benchmarks on GPT-2 and extensions to diffusion...

Dive into the world of autonomous AI agents with practical implementations, code examples, and real-world scenarios. ...

The story behind smpp-core - a clean-room Java 21 implementation of the SMPP protocol. Why I replaced Cloudhopper, wh...

Explore a detailed technical implementation of a multi-agent system for retail banking credit assessment. Learn about...

Think your data pipelines could do more than just process information? ETLC 2.0 takes data engineering to the next le...

Traditional data warehouses are struggling to keep up with modern demands. Enter Dynamic Context Engines (DCEs) - re...

Explore how Large Language Models (LLMs) are revolutionizing ETL pipelines. Discover advanced techniques like context...

Buckle up for a wild ride through 10 mind-blowing data pipeline disasters and their solutions. From ancient code to b...

Think your AI apps could use a deeper understanding of your data? ETL-C (extract, load, transform, and contextualize)...

Rethinking ETLs - The Power of Large Language Models. Part 2 Exploring examples and optimization goals

Rethinking ETLs - The Power of Large Language Models. Part 1 - Explore traditional algorithms for efficient ETL plann...

Discover how sacrificing a bit of accuracy can lead to huge gains in big data analysis speed and efficiency.

Explore how genetic algorithms revolutionize data platforms, offering adaptive, dynamic solutions to meet complex cha...

Explore how genetic algorithms revolutionize data platforms, offering adaptive, dynamic solutions to meet complex cha...

Grover’s Algorithm and the Revolution of Quantum Search Efficiency

Advancements in data management, from warehouses to Data Mesh and Lakehouse, signal a shift toward more adaptive plat...

Explore the new realm of Quantum Data Platform (QDP) and its promise to revolutionize data processing at quantum spee...

Advancements in data management, from warehouses to Data Mesh and Lakehouse, signal a shift toward more adaptive plat...

Deep dive into memory management with Apache Ignite for high-performance data platforms. Learn how to handle 2.5M eve...

Deep dive into memory management with Apache Ignite for high-performance data platforms. Learn how to handle 2.5M eve...

Explore how to architect data partitioning and flow for massive-scale event processing. Learn implementation patterns...

Dive into the architecture of a telco-scale real-time data platform processing 2.5M events/second and 350GB DPI data/...

In this article, I discuss the challenges of synchronization in cellular network positioning and the importance of pr...

The foundational distributed systems principles optimized for surviving hardware failure and scaling horizontally. Bu...

Master real-time data processing - A guide to designing scalable, resilient, and high-performance systems for instant...

OConsent is a blockchain-based platform that enables transparent processing of personal data, empowering users and da...

Let's talk tech! I'll post everything from polished pieces to spur-of-the-moment thoughts. And if you've got ideas fo...