8 surprising social video trends

Halloween is traditionally the perfect season to anticipate unexpected shocks. But eight surprising social video trends should astound even the most unflappable digital marketers.  1. The number of creators on YouTube is exploding YouTube.com is the second most visited website in the U.S. and worldwide, behind only Google.com, per Similarweb and Semrush’s data. So, if…

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Become a search marketing master in 2023

With never-ending changes across the search marketing ecosystem, including: July 1st marks the long-anticipated forced switch to GA4 Generative AI is taking the world by storm The future of SERPs and PPC is hanging in the balance The next major Google algorithm is just around the corner … now is the perfect time to sharpen your…

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The truth behind AI checkers: A cautionary tale

Browse the web these days, and you’ll likely run into AI-created content (whether you realize it or not). The line between AI and human-written content continues to blur rapidly, causing confusion and misplaced trust in flawed AI detection tools.  But these so-called electronic gatekeepers – meant to separate human-crafted content from its artificial counterparts –…

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Daily Search Forum Recap: June 14, 2024

Here is a recap of what happened in the search forums today, through the eyes of the Search Engine Roundtable and other search forums on the web. Google experiments sometimes cause problems for Google Search and they need to revert them. Google Business Profile websites now 404. Google Ads it testing new call and…

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How to create and manage an SEO budget

Like any marketing and advertising channel, SEO should be budgeted for. However, creating an SEO budget isn’t as simple as allocating a set monthly amount.  To properly invest in organic search, you need a strategic plan backed by a comprehensive budgeting process. Without clearly defined goals, assessing website needs, and mapping resource requirements, you risk…

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Octo: An Open-Sourced Large Transformer-based Generalist Robot Policy Trained on 800k Trajectories from the Open X-Embodiment Dataset

  Regarding robotic learning, the standard practice is to use datasets tailored to the particular robot and job at hand to train policies. Starting from scratch in this manner necessitates a substantial amount of data collection for every activity, and the policies that are produced typically display little generalizability. Theoretically, data gathered from previous robots…

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