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AI

An audio reel beside indexed source cards, illustrating the move from listening to searchable passages
AI

Transcribe 100 Hours of Podcasts with whisper.cpp

I used whisper.cpp on an RTX 5070 to transcribe about 100 hours of podcasts in roughly three hours, then turned the Markdown output into a searchable prompt knowledge base.

By Julien Laurenceau, 3 months2026-08-04 ago
A locally controlled GGUF model cartridge with a key and a reminder to test the answer
AI

Local LLMs, Political Bias, and Why llama.cpp Still Matters

Local inference gives control over weights and configuration, not a guarantee of political neutrality. A practical guide to evaluating framing, sizing KV memory and enforcing hybrid routing boundaries.

By Julien Laurenceau, 3 months2026-08-02 ago
AI

Model Fusion Beats the Frontier Model. The Cost Case.

OpenRouter put numbers on a pattern agent builders already use: a panel of models with a judge synthesizer beats the best single model, and a budget panel matched frontier quality at half the cost. What that means for your AI platform.

By Julien Laurenceau, 4 months2026-06-23 ago
AI

Distilling frontier reasoning into a local model: what actually works

A small coding model mocked on r/LocalLLM is actually a clean case of execution-verified distillation. Here is how the method works, when distilling a frontier model into a cheap local one pays off, and the three things the hype leaves out.

By Julien Laurenceau, 4 months2026-06-22 ago
Cartoon of an oversized GPU processing machine waiting for a single data block from a narrow feed while its billing meter keeps turning.
AI

GPU Cost Optimization: Find the Waste Before Buying More

GPU cost optimization starts with useful work, latency and paid capacity. A measurement-led review of data stalls, inference sizing, sharing and cost attribution separates removable spend from capacity gains.

By Julien Laurenceau, 4 months2026-06-14 ago
AI

Tesla’s .SMOL Format Shows Why Most Enterprise Data Lakes Are Architecturally Wrong

When Tesla published patent WO2024073080 describing a new file format internally called “.smol”, the headline was simple: 4x reduction in IOPS for AI training. Most people read this as a hardware story. It isn’t. It’s a data architecture story. And it exposes a structural weakness in how most enterprise data Read more

By Julien Laurenceau, 9 months2026-02-11 ago
AI

GPUs Changed Everything. Storage Is the Bottleneck Again.

GPUs are no longer the bottleneck. Data movement is. The bottleneck in AI infrastructure has moved from compute to data movement. The claim was articulated in an online talk I attended recently, and it matches what I have seen for years across very different systems: raw compute stops being the Read more

By Julien Laurenceau, 9 months2026-01-23 ago

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