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Stop Drowning in AI Models: A 3-Pillar Framework for Evaluation
Evaluating AI models shouldn't require weeks of setup or custom tooling for each comparison. This framework breaks model evaluatio...
The Intoxication—and Limits—of AI-Assisted Development
Beyond a certain complexity threshold, progress depends less on generation speed and more on architectural clarity.
OpenAI GPT-5.2: The “Cheating” Controversy
Is OpenAI GPT-5.2 actually better than Google Gemini 3 Pro? If you strip away the extra "thinking" time used in the benchmarks, th...
Lessons From Hands-on Research on High-Velocity AI Development
The main constraint on AI-assisted development was not model capability but how context was structured and exposed.
PDFs to Intelligence: How To Auto-Extract Python Manual Knowledge Recursively Us...
We’ll demonstrate an end-to-end data extraction pipeline engineered for maximum automation, reproducibility, and technical rigor....
A Simple Hardware Question Exposes the Limits of Today’s LLMs
An engineer compares an LLM’s fabricated claims about printheads with real-world data, revealing why statistical models fail at ph...
Why I Built Allos to Decouple AI Agents From LLM Vendors
Allos is a Python SDK for building AI agents that can switch between OpenAI, Anthropic, and more with a single command. Allos is b...
More Than a Nobel Prize: 6 Surprising Ways an AI Breakthrough Is Reshaping Scien...
AlphaFold is an AI system from Google DeepMind that can predict a protein's structure. The tool has been used by over 3 million re...
Prompt-Powered Personas: How AI Finally Fixes the Messy World of User Profiling
Prompt‑powered personas are fast, data-backed, and cheap to use. They can be used to build user profiles and provide real-time fee...
Beyond Pretty Videos: 5 Surprising Ideas Behind PAN, The AI That Simulates Reali...
PAN is a new AI model that uses language to predict the future. It uses a Large Language Model (LLM) as its "autoregressive world...
How Google’s GenAI Toolbox Makes LLM-Database Integration Actually Usable
Most teams agree on the same painful truth: connecting an LLM to a production SQL database is way harder than it should be. Goog...
The Pragmatic Guide to Federated AI: Building Compliant LLM/XGBoost Pipelines fo...
Federated Pipelines for XGBoost and TabNet are a way to federate data models. They can be made practical with the right abstractio...
