Websauna Co / AI
I’ve spent the past year benchmarking vector databases as part of larger semantic search projects, and one thing became quickly clear: choosing a vector database is less about raw recall numbers and more about trade-offs between usability,...
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I’ve spent the last few years building and evaluating machine learning systems for real teams, so when customers ask whether they should “retrain” a large language model (LLM) on their proprietary data, my first reaction is: there’s no...
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I test AI products for a living, and one thing that never stops surprising me is how often "explainability" is treated as either a checkbox or a vague marketing line. Reviewers will praise a model for being "transparent" or criticize it for being a...
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I’ve spent years watching teams drown in time-series telemetry: terabytes of sensor data streaming into lakes, dashboards overflowing with metrics, and engineers still caught off guard when a pump or motor fails. The irony is that more data rarely...
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I’ve spent years testing and explaining how software actually behaves in the wild, and bias in AI-powered hiring tools is one of those topics where nuance matters. On paper, an automated resume screener or an interview-sentiment model promises...
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I’ve been obsessed with the idea that real intelligence doesn't have to live in the cloud. Watching devices that run for years on coin cells or tiny LiIon packs do genuinely useful, low-latency inference has felt like a slow-moving revolution for...
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I’ve spent years testing AI tools, writing about their quirks, and helping teams pick the right tech that actually fits their day-to-day work. Choosing an AI assistant for your team isn’t just about picking the model with the highest benchmark...
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I’ve been tracking multimodal AI closely for several years now — not just as a technologist, but as someone who builds product narratives and tests real prototypes. Multimodal models that combine text, images, audio, and even code are no longer...
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