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Your RAG Pipeline Is Only As Good As Your Retrieval Stack

2h ago · 3 min read · Your RAG Pipeline Is Only As Good As Your Retrieval Stack Most production RAG failures don't happen at the LLM layer. They happen earlier, in the retrieval layer, where the wrong documents surface with high confidence and the right ones never get a c...

Your Benchmark Is Lying to You

6h ago · 4 min read · The pelican on a bicycle has become an accidental Rosetta Stone for model evaluation. When a 21GB quantized Qwen model running on a laptop generates a more anatomically correct pelican than Anthropic's flagship Opus 4.7, something fundamental breaks ...

Your Agent Doesn't Fail Where You Think It Does

14h ago · 3 min read · Your Agent Doesn't Fail Where You Think It Does Benchmark scores hide the wrong things. A model that scores 85% on reasoning tasks can still be unusable in production—not because it gets answers wrong, but because it gets them right for the wrong rea...

Safetensors Joining PyTorch Is Bigger Than It Sounds

18h ago · 3 min read · Safetensors Joining PyTorch Is Bigger Than It Sounds The announcement that Hugging Face's Safetensors format is joining the PyTorch Foundation reads like a minor governance update. It's not. This is the slow-motion standardization of model serializat...

Why Most Agent Benchmarks Measure the Wrong Thing

22h ago · 5 min read · Why Most Agent Benchmarks Measure the Wrong Thing The VAKRA benchmark made one thing painfully clear: we're evaluating agents on success rates when we should be evaluating them on recovery rates. When an agent fails on a task, the interesting questio...