AI UPDATE: Story Based EMail Prompt, Google's SEO Playbook Update, AI Music Generation

Google Updates Its SEO Playbook for Content Generated With AI

Google has long preached the gospel of "content written by people, for people." But in a recent update, the search giant is quietly rewriting its own rules to acknowledge the rise of artificial intelligence.

In the latest iteration of Google Search's "Helpful Content Update," the phrase “written by people” has been replaced by a statement that Google is constantly monitoring "content created for people" to rank sites on its search engine.

The new language shows that Google recognizes AI as a tool heavily relied upon in content creation. But instead of simply focusing on distinguishing AI from human content, the leading search engine wants to highlight valuable content that benefits users, regardless of whether humans or machines produced it.

Google is meanwhile investing in AI across its products, including an AI-powered news generator service along with its own AI chatbot Bard and new experimental search features. Updating its guidelines, then, also aligns with the company's strategic direction.

The search leader still aims to reward original, helpful, and human content that provides value to users."By definition, if you're using AI to write your content, it's going to be rehashed from other sites," Google Search Relations team lead John Mueller noted on Reddit.

The implications are clear: repetitive or low-quality AI content could still hurt SEO, even as the technology advances. Writers and editors must still play an active role in the process of content creation. The lack of human involvement is risky because AI models have a tendency to hallucinate. Some of the errors may be funny or offensive, but some of them can cost millions of dollars and even put lives in danger.

SEO, or search engine optimization, refers to strategies aimed at improving a website's rankings in search engines like Google. Higher rankings lead to increased visibility and traffic. SEO experts have long tried to "beat" search algorithms by optimizing content to match the Google algorithm.

Google seems to be penalizing the use of AI for simple content summarization or rephrasing and has its ways of detecting AI-generated content. “This classifier process is entirely automated, using a machine-learning model.”
Google says, meaning it’s using AI to tell good and bad content apart.

However, part of the challenge is that detecting AI content often relies on imprecise tools. OpenAI itself removed its own AI classifier recently, acknowledging its inaccuracy. AI detection is hard because models are trained to “appear” human, so the confrontation between content generators and content discriminators will never end because AI models only get more powerful and accurate as time goes by. Training AI with AI-generated content generations can lead to model collapse.

Google says it is not trying to reproduce AI-generated data, but rather identify it and reward human-written content accordingly. This approach is more akin to training a specialized AI discriminator, where an AI model tries to create something that looks natural and another model tries to distinguish whether the creation is natural or artificial. This process is already in use in generative adversarial networks (GANs).

Standards will continue to evolve as AI proliferates. For now, Google appears focused on content quality rather than separating human contributions from those created with machines.

(Source: Decrypt)

The Illusion of AI Brilliance: When Hans Zimmer Beats the Machines

Gareth Edwards' Experiment Shows the Limitations of AI in Music Composition

In a bold experiment, Gareth Edwards, the director of Rogue One: A Star Wars Story, attempted to use artificial intelligence (AI) to compose the soundtrack for his upcoming film, The Creator. However, his foray into AI-generated music proved to be less than successful. While the AI system produced a track that Edwards described as a "7 out of 10," it fell short of the brilliance expected from renowned composer Hans Zimmer. This experiment highlights the limitations of AI in the realm of music composition and raises important questions about the role of technology in the creative process.

The Quest for a Perfect Soundtrack:
Edwards, intrigued by the potential of AI, approached an undisclosed AI music company to create a soundtrack in the style of Hans Zimmer. While the AI system delivered a decent composition, Edwards recognized that the true allure of Zimmer's work lies in his ability to consistently produce exceptional music. The AI-generated track, while impressive, lacked the nuanced brilliance that Zimmer brings to his compositions.

The Missing Ingredient: Taste:
One crucial element that AI systems lack is taste. As Edwards pointed out, AI still struggles to understand what humans consider good or bad in art. While AI can mimic certain styles or patterns, it lacks the intuition and imagination that human artists possess. This limitation becomes particularly evident when attempting to generate complex compositions like those of Hans Zimmer. AI systems are bound by their training data, while Zimmer draws inspiration from his vast experience and the world around him.

The Battle for Fair Labor Conditions:
Edwards' experiment with AI in music composition also touches on a larger issue plaguing the entertainment industry—generative AI and fair labor conditions. Hollywood is currently embroiled in a standoff as actors and writers strike against the use of generative AI, arguing for fairer treatment and compensation. Artists and authors also express concerns about tech companies using AI to scrape the web for images and text, potentially infringing on intellectual property rights. The debate surrounding AI's impact on the creative industry is far from settled.

Lessons from the Past: Embracing AI as a Tool:
Edwards draws parallels between the current AI boom and the introduction of Photoshop. Initially met with resistance, Photoshop eventually revolutionized the world of art and opened up new opportunities for creators. Edwards believes that AI will similarly transform the industry, and rather than fearing it, creatives should learn to embrace and utilize it as a tool. AI has the potential to augment human creativity, but it cannot replace the human touch and the unique perspectives that artists bring to their work.

Gareth Edwards' experiment with AI in music composition serves as a cautionary tale about the limitations of technology in the creative process. While AI can produce impressive results, it still falls short when it comes to capturing the essence of true artistic brilliance. The quest for a perfect soundtrack reminds us that taste, intuition, and imagination are crucial elements that AI systems currently lack. As the entertainment industry grapples with the impact of AI, it is essential to strike a balance that respects the rights and contributions of human artists while harnessing the potential of AI as a powerful tool for innovation.

Tools built on top of ChatGPT for specific use cases

A lot of tools in that list I haven’t heard of but looking forward to checking out. I have been enjoying Poe from Quora since the paid account include GPT-4 32K which isn’t even available in Beta anymore.

Prompt of the day

Andre Chaperon had a course a while back called Autoresponder Madness. His copywriting style incorporated many of the elements you see in TV series to keep a story going by creating open loops, and foreshadowing, etc.

PROMPT:

Using the storytelling techniques pioneered by Andre Chaperon in his Autoresponder Madness program, craft a high-converting email copy.

Incorporate the following elements:

Soap Opera Sequence: Start with a compelling narrative that hooks the reader immediately. This narrative should be part of a serialized story, ensuring the recipient is eager to open subsequent emails.

Open Loops: Introduce a mystery or an unanswered question early in the email. This creates curiosity and ensures that the reader is engaged throughout the entire sequence, awaiting the conclusion in subsequent emails.

Personal Touch: Inject personality into the email. Whether it's a personal story, a lesson learned, or an experience shared, it should resonate with the reader, making them feel connected to the sender.

Call-To-Action (CTA): Ensure there's a clear and compelling CTA towards the end of the email. This could be a link to a product, an invitation to reply, or a teaser for the next email in the sequence.

Remember, the goal is to engage the reader, build trust, and guide them toward the desired action without coming across as overly salesy.

Write an email sequence to market branding services for small businesses