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Blog

TurboQuant Has The Potential To Fundamentally Change How Search (And AI) Works

Google published a blog post on a new breakthrough in vector search technology called TurboQuant. The potential implications of this technology for Search are staggering! TurboQuant is a suite of advanced algorithms that drastically reduce AI processing size and memory requirements. Their blog post says, “This has potentially profound implications … especially in the domains […]

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Reporting Uncertainty Without Losing Credibility

Multi-touch journeys, cross-device behavior, last-click attribution defaults, and privacy restrictions all make attribution messy. Much messier than most dashboards suggest. The challenge is that stakeholders usually want a clean answer. But the data rarely behaves that way. When reports don’t match expectations, credibility can wear off, and it is not because the analysis is wrong, […]

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Google Tests AI Headlines, Rolls Out Spam Update – SEO Pulse

Welcome to the week’s Pulse: updates affect how your headlines appear in Search, how spam enforcement played out, and how AI content gets labeled. Here’s what matters for you and your work. Google Tests AI-Generated Headline Rewrites In Search Google confirmed that it’s testing AI-generated headline rewrites in traditional search results. The test uses language […]

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Google Adds Scenario Planner, Performance Max Updates, And Veo – PPC Pulse

Welcome to this week’s PPC Pulse. This week’s updates focus on Performance Max visibility improvements, new budget planning tools in Google Analytics, and generative video now built directly into Google Ads. Here’s what was announced this week and why they matter for your campaigns. Google Adds More Visibility and Control To Performance Max Google rolled […]

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Wikipedia Bans Use Of AI-Generated Content

Wikipedia recently published guidelines prohibiting the use of AI to generate or rewrite articles, except for two exceptions related to editing and translations. The guidelines acknowledges that identifying AI generated content can’t be based on style signals and offers no further guidance on how they will identify the LLM-based content. See also: should you use […]

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