Deepak Nagpal’s Post

https://lnkd.in/gzPWgJcV A primer on the state of the internet~Detailing the Good, Bad, and the Ugly now that AI is here to stay. "It is too late to stop the emergence of AI. Instead, we need to think about what we want next, how to design and nurture spaces of knowledge creation and communication for a human-centric world. "

"It is too late to stop the emergence of AI. Instead, we need to think about what we want next, how to design and nurture spaces of knowledge creation and communication for a human-centric world.” Sustainable Minds has learned a lot in considering the role of AI in the TransparencyCatalog.com. Watch for more on our insights about #AI and #transparency. Courtesy of the author Judith Donath, here’s a link to the full article free til May 7 https://lnkd.in/ezjW_B6t

Most discussion of AI/LLMs fall into one of two categories: "Best thing ever!" or "Pure evil!". Neither are helpful. So here's a more nuanced take how generative AI will change the web. Spoiler: Authors encourage cooperation to preserve the commons of human content, so that AI can stay useful. #ai #generativeai #llms #thoughtful #content #writingforhumans

Oh boy -> Docs: Google is paying a handful of independent publishers a five-figure sum for one year to use an unreleased suite of generative AI tools to post stories "In exchange for a five-figure sum, publishers must use the tool to publish 3 stories per day..." It gets better -> "The beta tools let under-resourced publishers create aggregated content more efficiently by indexing recently published reports generated by other organizations, like government agencies and neighboring news outlets, and then summarizing and publishing them as a new article." "These sources of original material are not asked for their consent to have their content scraped or notified of their participation in the process—a potentially troubling precedent, said Kint." "The program does not require that these AI-assisted articles be labeled." AdWeek article is paywalled, so here is the Engadget article: #google #seo #ai #content

Judith Donath and Bruce Schneier unpack how large #languagemodels are disrupting the traditional relationship between #writer and #reader, and what the costs are for all of us who use the #internet. People create in large part to #communicate with other people, they argue, and #LLMs — which synthesize their own answers rather than connecting people to what others have created — are a direct threat to the #publiccommons of the web. “Internet platforms need to recognize that #creative #humancommunities are highly valuable resources to cultivate, not merely sources of exploitable raw material for LLMs,” they write. “Protecting the web, and nourishing human #creativity and knowledge production, is essential for both human and artificial minds.” #digitalculture #AI #knowledge

This gives me a "stop the world, I want to get off" feeling. Urgh. "There’s also a more fundamental issue here that gets back to the reason we create: to communicate with other people. Being paid for one’s work is of course important. But many of the best works—whether a thought-provoking essay, a bizarre TikTok video, or meticulous hiking directions—are motivated by the desire to connect with a human audience, to have an effect on others. Search engines have traditionally facilitated such connections. By contrast, LLMs synthesize their own answers, treating content such as this article (or pretty much any text, code, music, or image they can access) as digestible raw material. Writers and other creators risk losing the connection they have to their audience, as well as compensation for their work. Certain proposed “solutions,” such as paying publishers to provide content for an AI, neither scale nor are what writers seek; LLMs aren’t people we connect with. Eventually, people may stop writing, stop filming, stop composing—at least for the open, public web. People will still create, but for small, select audiences, walled-off from the content-hoovering AIs. The great public commons of the web will be gone." #AI #LLMs

🚨 #DigitalMarketingUpdate: Google's AI Tool Raises Eyebrows 🤖💥 Google's new AI experiment is causing a stir. The tech giant is testing an AI that rewrites news content, potentially shaking up online journalism. 🔍 The Issue: - Paying small publishers for AI-rewritten articles. - Some claim it's like 'article spinning'—a frowned-upon practice of automated content rewriting. - Concerns over content value dilution and ethical implications. 📢 Why It Matters: - Google, as a dominant online gatekeeper, testing such tools is controversial. - It could lead to a flood of similar, AI-spun articles, overshadowing original news sources. - There's debate on the balance between generating links and preserving content quality. 💡 The Takeaway: - Google's move sparks a conversation about AI's role in content creation. - Publishers and marketers watch closely as this could affect news credibility and SEO dynamics.🌐 Article Link: https://1l.ink/QQH2NK6 #GoogleAI #ContentCreation #SEO #Journalism #EthicsInTech #BullseyeDigitalMarketing

🚨 #DigitalMarketingUpdate: Google's AI Tool Raises Eyebrows 🤖💥 Google's new AI experiment is causing a stir. The tech giant is testing an AI that rewrites news content, potentially shaking up online journalism. 🔍 The Issue: - Paying small publishers for AI-rewritten articles. - Some claim it's like 'article spinning'—a frowned-upon practice of automated content rewriting. - Concerns over content value dilution and ethical implications. 📢 Why It Matters: - Google, as a dominant online gatekeeper, testing such tools is controversial. - It could lead to a flood of similar, AI-spun articles, overshadowing original news sources. - There's debate on the balance between generating links and preserving content quality. 💡 The Takeaway: - Google's move sparks a conversation about AI's role in content creation. - Publishers and marketers watch closely as this could affect news credibility and SEO dynamics.🌐 Article Link: https://1l.ink/QQH2NK6 #GoogleAI #ContentCreation #SEO #Journalism #EthicsInTech #BullseyeDigitalMarketing

With the recent Google March 2024 core update focusing on low-quality content, there has been a surge in discussions regarding the effectiveness and accuracy of AI content detection tools. While some SEO and content experts advise against relying solely on these tools to assess whether the content is AI-generated, many others advocate for their use. I concur that AI content checkers may not be reliable, often misidentifying human-written content as AI-generated. This issue likely stems from a lack of understanding of the inner workings of these large language models and AI content-checking tools. Following Google's updates targeting low-quality and unhelpful content, we have witnessed a stark contrast in website rankings, with some plummeting while others soar. This indicates that Google's algorithms have made significant strides in detecting AI-generated content. As SEO and content professionals, it's crucial not to place undue trust in AI detectors. However, we must draw a line and exercise caution before publishing content on our websites. Since content forms the backbone of our organic growth strategies, it's important not to take unnecessary risks. Moreover, there is a pressing need for us all to deepen our understanding of how these tools operate. #SEO #Contentmarketing #AItools