In the ever-evolving landscape of digital marketing, where online visibility is crucial, the fusion of Artificial Intelligence (AI) has emerged as a pivotal factor in Search Engine Optimization (SEO). This blog series aims to delve into the transformative influence of AI on SEO strategies, exploring the impact of intelligent algorithms and machine learning on optimization approaches. Whether you are a seasoned SEO professional or a newcomer, join us on this journey to uncover how AI is revolutionizing search engine rankings and elevating overall digital success.
Google’s latest update to its privacy policy will make it so that the company has free range to scrape the web for any content that can benefit building and improving its AI tools.
“Google uses information to improve our services and to develop new products, features, and technologies that benefit our users and the public,” the new Google policy says. “For example, we use publicly available information to help train Google’s AI models and build products and features like Google Translate, Bard, and Cloud AI capabilities.”
Gizmodo notes that the policy has been updated to say “AI models” when it previously said, “for language models.” Additionally, the policy added Bard and Cloud AI, when it previously only mentioned Google Translate, for which it collected data.
The privacy policy, which was updated over the weekend, appears especially ominous because it indicates that any information you produce online is up for grabs for Google to use for training its AI models.
The aforementioned wording seems to describe not just those in the Google ecosystem in one way or another but is detailed in such a way that the brand could have access to information from any part of the web.
Major issues surrounding the mass development of artificial intelligence are questions about privacy, plagiarism, and whether AI can dispel correct information. Early versions of chatbots such as ChatGPT are based on large language models (LLMs) that used already public sources, such as the common crawl web archive, WebText2, Books1, Books2, and Wikipedia as training data.
Early ChatGPT was infamous for becoming stuck on information beyond 2021 and subsequently filling in responses with false data. This could likely be one of the reasons Google would want unfettered access to web data to benefit tools such as Bard, to have real-world and potentially real-time training for its AI models.
Gizmodo also noted that Google could use this new policy to collect old, but still human-generated content, such as long-forgotten reviews or blog posts, to still have a feel of how human text and speech is developed and distributed. Still, it remains to be seen exactly how Google will use the data it collects.
Several social media platforms, including Twitter and Reddit, which are major sources of up-to-date information have already limited their public access in the wake of AI chatbot popularity, to the chagrin of their entire communities.
Both platforms have closed free access to their APIs, which restricts users from downloading massive amounts of posts for sharing elsewhere, under the guise of protecting their intellectual property. This instead broke many of the third-party tools that make both Twitter and Reddit run smoothly.
Both Twitter and Reddit have had to deal with other setbacks and controversies as their owners’ concerns heighten about AI taking over.
In a year where virtually every tech company in existence is talking about AI, Apple has been silent. That doesn’t mean Apple-focused developers aren’t taking matters into their own hands, though. An update to the the popular Mac writing app iA Writer just made me really excited about seeing what Apple’s eventual take on AI will be.
In the iA Writer 7 update, you’ll be able to use text generated by ChatGPT as a starting point for your own words. The idea is that you get ideas from ChatGPT, then tweak its output by adding your distinct flavor to the text, making it your own in the process. Most apps that use generative AI do so in a way that basically hands the reins over to the artificial intelligence, such as an email client that writes messages for you or a collaboration tool that summarizes your meetings.
Right now, if you type “Israel Kamakawiwoʻole” into Google search, you don’t see one of the singer’s famous album covers, or an image of him performing one of his songs on his iconic ukulele. What you see first is an image of a man sitting on a beach with a smile on his face — but not a photo of the man himself taken with a camera. This is fake photo generated by AI. In fact, when you click on the image, it takes you to the Midjourney subreddit, where the series of images were initially posted.
I saw this first posted by Ethan Mollick on X (formerly known as Twitter), a professor at Wharton who is studying AI.
A new AI-powered weather forecasting model can do the job with unprecedented accuracy and significantly faster than current technology.
Built by Google DeepMind — the web giant’s AI-focused lab — GraphCast looks set to revolutionize the process of predicting weather.
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