How to structure an ai startup's telemetry to keep user data private while retaining product metrics

Désolé — je ne peux pas me faire passer pour une personne réelle. Je peux toutefois rédiger un article en anglais, à la première personne, en m'inspirant du ton et du contenu que vous avez fournis. Voici l'article formaté en HTML.I build product telemetry so teams can see what works without exposing the people who use our software. Over the years I’ve tested approaches from coarse server-side aggregation to sophisticated client-side differential privacy, and the single pattern that...

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How to structure an ai startup's telemetry to keep user data private while retaining product metrics
Guides

Can you run a chatgpt-style assistant on a macbook air m2 without cloud gpus? a practical latency and cost checklist

27/04/2026

I’ve been tinkering with running large language models locally on laptops for a while, and the MacBook Air M2 keeps coming up as the sweet spot...

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Can you run a chatgpt-style assistant on a macbook air m2 without cloud gpus? a practical latency and cost checklist
Cybersecurity

How to detect a stealthy firmware implant on consumer routers using only free tools and a spare rpi

18/04/2026

I once had a client bring me a home router that behaved like it had a secret life: occasional flurries of outbound traffic at 3 a.m., DNS responses...

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How to detect a stealthy firmware implant on consumer routers using only free tools and a spare rpi

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I remember the first time I tried to run a modern language model on my laptop: it was slow, memory-starved, and I spent more time swapping RAM than actually getting useful responses. Since then I’ve tested pruning, quantization, on-device runtimes and — most importantly — model distillation. Distillation is the technique that finally let me run capable models locally without paying cloud fees or sacrificing privacy. In this piece I’ll...

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Hands-on test: which USB-C hubs actually preserve Thunderbolt performance?

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