Claude Opus 5: Near-Frontier Intelligence, On a Dial
Anthropic has released Claude Opus 5. The fourth model in two months, if you are keeping count. Most people are not. This one matters more than the count suggests. Opus is the workhorse tier, the model that does the actual paid work, and it just got a step change rather than a bump. Anthropic’s own ...
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The Fluid Simulator That Doesn’t Solve the Fluid Equations
I generated a Kármán vortex street without solving a single fluid equation. Here's how the Lattice Boltzmann Method gets there instead, derived from first principles, implemented in C++, and run on a supercomputer.
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Tabular LLMs: An Introduction to the Foundation Models That Predict Your Spreadsheet
Tabular foundation models predict the missing column of any spreadsheet zero-shot, the way an LLM completes text — and on the TabArena benchmark they now sit above fully tuned gradient-boosted trees. An introduction to how they work, an independent reproduction of the strongest open one, and a map o...
Build and Run an Intelligent Document Processing (IDP) System in the Cloud
Automating the classification and extraction of PII from emails using AWS
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Loop Engineering for RAG Generation: An LLM Cascade from a Cheap Local Model Up to a Hosted Flagship
Enterprise Document Intelligence [Vol.1 #8quater] - Two angles on the cascade, cost and a validation loop, backed by a real sweep of twenty local models against a hosted flagship
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Language Model Hallucination Evaluation with GraphEval
Turning the key principles and methodological stages of GraphEval into a simulated practical scenario to better understand its usefulness and key implications in understanding and combating LLM hallucinations.
Context Windows Forget What Matters — I Built a Usage-Reinforced Decay Engine for AI Agent Memory
Most AI memory systems keep the newest information—not the most important. Here's how I used the Ebbinghaus forgetting curve to build a better memory engine for LLMs.
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Most RAG Hallucinations Are Extraction Errors: Seven Patterns for a Typed Generation Contract
Enterprise Document Intelligence [Vol.1 #8ter] - Naming the RAG error correctly matters: model reads the context, so a wrong answer is an extraction error, not a hallucination. Seven typed-contract patterns keep the generation brick honest, with a decomposition rule for small models
The post Most RA...
OmniVoice Studio is built on a premise that everything runs on your hardware. Voice cloning, video dubbing, real-time dictation, voice design, all of it local, all of it free for personal use, no API key required, no usage counter.
A hands-on walkthrough of code execution with the OpenAI Agents SDK and Docker
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Detecting Vulnerabilities in Agent Skills with SkillSpector: From Green Checkmark to Real Security Judgment
Static analysis nailed the malicious skill and over-flagged the useful one. The gap between those results is where human judgement actually earns its keep.
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On July 21, 2026, while everyone was still waiting on the much-delayed Gemini 3.5 Pro, Google slipped out a mid-cycle update to its speed tier: Gemini 3.6 Flash. No new frontier claims, no dramatic reveal. Instead, the model does roughly the same thinking as 3.5 Flash while spending fewer tokens, fe...
I Tried Fine-Tuning a Robot AI Model on Colab. Here Is What Worked
A reproducible 100-step LoRA fine-tuning run for OpenVLA, with dataset checks, Colab setup, training metrics, and W&B evidence.
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Run the Mythos Enhanced Coding Model Locally with llama.cpp and Pi
Run Qwythos-9B-Claude-Mythos-5-1M locally with llama.cpp, connect it to Pi coding agent, and build fast local coding workflows using MTP speculative decoding and an OpenAI-compatible API.
In this article, you will learn how agentic AI architecture has evolved by mid-2026, including the shift away from orchestrated reasoning loops, the rise of...
A hands-on guide to tracking experiments, logging models, and reproducing results with ML Flow.
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