Really insightful piece! I like how you explained the balance Hydrolix is striking between innovation and user continuity. Do you think this move could inspire other data platforms to prioritise compatibility with existing tools instead of pushing users to switch entirely? Great job highlighting the technical and strategic angles!
Hydrolix buys Quesma tech to keep Kibana dashboards running on cost-efficient data lakes.
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LLM Training & Evaluation Specialist with hands-on experience building major AI models. As one of th... Show moreLLM Training & Evaluation Specialist with hands-on experience building major AI models. As one of the original six members of Google's Bard training team (now Gemini) and current Meta AI Business Assistant evaluator, I understand how these models work from the inside out—and how developers can optimize them fI write about technology solutions that make life simpler and easier for developers, engineers, and architects. I use AI extensively in that work — not as the subject, but as the tool that helps me research faster, verify accuracy, and get to the point.
That AI fluency comes from direct experience: I was one of the original six members of Google's Bard training team (now Gemini) and currently evaluate Meta's AI Business Assistant. I understand how these models work from the inside, which shapes how I write about them for a technical audience.
I specialize in LLM evaluation, prompt engineering, and RLHF methodologies, and I write about real-world implementation challenges — not theoretical possibilities. I attend major tech conferences to stay close to what developers actually face when deploying AI in production. Show less
That AI fluency comes from direct experience: I was one of the original six members of Google's Bard training team (now Gemini) and currently evaluate Meta's AI Business Assistant. I understand how these models work from the inside, which shapes how I write about them for a technical audience.
I specialize in LLM evaluation, prompt engineering, and RLHF methodologies, and I write about real-world implementation challenges — not theoretical possibilities. I attend major tech conferences to stay close to what developers actually face when deploying AI in production. Show less
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