In this episode, Alex revisits the Meme Magic tool and explores its capabilities. He discovers that the tool offers custom meme generation, famous templates, and custom image uploads. Although the tool is better than initially thought, Alex still prefers a more consistent meme generation tool. The main focus of the episode is on Apple and its Apple Intelligence plan. Apple is expanding its intelligence plan to include the Vision Pro headset, Mac, iPhones, and iPads. The goal is to provide a mixed reality experience with the Vision Pro and integrate a Jarvis AI assistant. Additionally, Apple's integration of OpenAI's chat GPT capabilities into its operating systems is a bartered arrangement. Lastly, there were rumors of Meta and Apple discussing integration of Meta's AI models into Apple Intelligence, but it appears that the deal was never going to happen.

Keywords

Meme Magic, meme generation, Apple Intelligence, Vision Pro headset, mixed reality, Jarvis AI assistant, OpenAI, Meta

Takeaways

• Meme Magic offers custom meme generation, famous templates, and custom image uploads.
• Apple is expanding its Apple Intelligence plan to include the Vision Pro headset, Mac, iPhones, and iPads.
• The goal is to provide a mixed reality experience with the Vision Pro and integrate a Jarvis AI assistant.
• Apple's integration of OpenAI's chat GPT capabilities into its operating systems is a bartered arrangement.
• Rumors of Meta and Apple discussing integration of Meta's AI models into Apple Intelligence were not true.

Links:

https://www.bloomberg.com/news/newsletters/2024-06-30/apple-s-longer-lasting-devices-ios-19-and-apple-intelligence-on-the-vision-pro-ly1jnrw4

https://fortune.com/2024/06/13/apple-not-paying-openai-chatgpt-millions-users-iphones-devices/

In this episode, Alex highlights a GPT called Meme Magic created by RatCGPTs. He explores the website and discusses other interesting GPTs available. He then shares his motivation for trying out Meme Magic, inspired by a podcast and LinkedIn page called Marketing Millennials. Alex attempts to create memes related to AI marketing topics using Meme Magic but encounters difficulties. He concludes that Meme Magic is not effective for generating memes and emphasizes the importance of doing the work to find and understand memes.

Keywords

GPT, Meme Magic, RATCGPTs, AI marketing, AGI, context window race, showrunner, meme culture, LinkedIn, Marketing Millennials

Takeaways

• RatCGPTs offers a variety of interesting GPTs, including Meme Magic.
• Meme Magic is a GPT that claims to generate memes based on user requests.
• Meme Magic was inspired by the success of the Marketing Millennials LinkedIn page, which publishes marketing memes.
• Alex attempts to create memes using Meme Magic but finds it ineffective and emphasizes the importance of doing the work to find and understand memes.

Links:

https://www.ratcgpts.com/

https://open.spotify.com/show/6dml5ovbOmInvsZta2WxI8

https://www.linkedin.com/company/the-marketing-millennials/

In this episode, Alex Carlson shares his methodology for creating content. He emphasizes the importance of content marketing and how AI can be used to enhance it. He starts by brainstorming trending topics and generating headlines using AI tools. Then, he selects the topics that he can provide insightful input on. The next step is creating the content, which he prefers to do through audio recordings. He then repurposes the core content into various formats, including website posts, YouTube videos, social media posts, and threads. He also mentions the potential of using AI-generated clips for platforms like Instagram reels and TikTok.

Keywords

content marketing, AI tools, brainstorming, trending topics, headlines, repurposing content, website posts, YouTube videos, social media posts, threads, AI-generated clips

Takeaways

• Content marketing is still important in the age of AI.
• AI tools can help generate ideas and headlines for content.
• Creating audio content can be easier and more enjoyable than writing blog posts.
• Repurposing content into different formats can maximize its reach and impact.

Links:

https://www.oneupapp.io/

In this episode, Alex discusses the recent update from the Google Gemini team, focusing on Gemini and Gemma. Gemma is Google's family of open-source lightweight AI models for generative AI, while Gemini is Google's flagship AI model. Gemma is designed to be more accessible and agile, with smaller models that require less computational power. The update includes Gemma 2, the latest addition to the Gemma family, and Gemini 1.5, which offers open access to a 2 million token context window. Alex explains that tokens are the fundamental building blocks that AI models use to understand and process language, while parameters are the numerical values that the models learn during training. The context window refers to the amount of information the model can remember while generating text. Gemini's context window has now doubled to 2 million tokens, with a theoretical maximum of 10 million tokens. Alex explores the possible interpretations of the extended and maximum context windows and highlights the importance of understanding these differences for developers and users

Keywords

Google Gemini, Gemini, Gemma, AI models, open-source, lightweight, generative AI, accessibility, agility, computational power, Gemma 2, tokens, parameters, context window, AI tokens, 10 million tokens, developers, users, AI parameters

Takeaways

• Google Gemini consists of Gemini and Gemma, with Gemini being the flagship AI model and Gemma being a family of open-source lightweight AI models for generative AI.
• Gemma is designed to be more accessible and agile, with smaller models that require less computational power.
• The update includes Gemma 2, the latest addition to the Gemma family, and Gemini 1.5, which offers open access to a 2 million token context window.
• Tokens are the fundamental building blocks that AI models use to understand and process language, while parameters are the numerical values that the models learn during training.
• The context window refers to the amount of information the model can remember while generating text, and Gemini's context window has now doubled to 2 million tokens, with a theoretical maximum of 10 million tokens.
• Understanding the differences between the extended and maximum context windows is crucial for developers and users, as it affects the limits, performance, and cost of the models.

Links:

https://developers.googleblog.com/en/new-features-for-the-gemini-api-and-google-ai-studio/

https://blog.google/technology/developers/google-gemma-2

https://www.functionize.com/blog/understanding-tokens-and-parameters-in-model-training

https://www.reddit.com/r/singularity/comments/1b0v1lw/the_rapid_scaling_of_ai_model_context_windows/

The AI technology called Showrunner, developed by The Simulation, is being referred to as the 'Netflix of AI'. It allows users to create their own virtual worlds and stories using multi-agent simulations and large language models. The technology is currently limited to creating animation, but the founder believes live action capabilities are not far off. This technology has the potential to revolutionize the entertainment industry by allowing users to not only consume content but also participate in its creation. For marketers, Showrunner opens up possibilities for creating interactive and personalized brand experiences, generating user-generated content, and implementing gamified marketing experiences.

Keywords

AI technology, Showrunner, The Simulation, Netflix of AI, virtual worlds, multi-agent simulations, large language models, animation, entertainment industry, marketers, interactive brand experiences, user-generated content, gamified marketing experiences

Takeaways

• Showrunner is an AI technology developed by The Simulation that allows users to create their own virtual worlds and stories.
• The technology combines multi-agent simulations and large language models to generate content that aligns with a user's story.
• Currently, Showrunner is limited to creating animation, but the founder believes live action capabilities are not far off.
• Showrunner has the potential to revolutionize the entertainment industry by allowing users to participate in content creation.
• For marketers, Showrunner opens up possibilities for creating interactive and personalized brand experiences, generating user-generated content, and implementing gamified marketing experiences.

Links:

https://www.showrunner.xyz

https://www.forbes.com/sites/charliefink/2024/05/30/meet-showrunner-the-netflix-of-ai

DID is an AI tool that offers a Natural User Interface (NUI) to humanize interactions with digital interfaces. It aims to optimize websites by implementing virtual agents or interactive guides. DID provides three use cases for NUIs: marketing, customer experience, and education/training. Their product offerings include a Creative Reality Studio, conversational AI agents, and an API for developers. DID also offers integrations with Microsoft PowerPoint and Google Slides. The pricing ranges from $6 to $200 per month, depending on the plan. The demo of the tool shows the process of creating and training a conversational agent for a website.

Keywords

DID, AI tool, Natural User Interface, NUI, virtual agent, interactive guide, marketing, customer experience, education, training, Creative Reality Studio, conversational AI agent, API, integrations, pricing, demo

Takeaways

• DID offers a Natural User Interface (NUI) to humanize interactions with digital interfaces.
• Implementing virtual agents or interactive guides on websites can optimize user experience.
• NUIs have potential applications in marketing, customer experience, and education/training.
• DID provides a Creative Reality Studio, conversational AI agents, and an API for developers.
• Integrations with Microsoft PowerPoint and Google Slides are available.
• DID offers different pricing plans, ranging from $6 to $200 per month.
• The demo showcases the process of creating and training a conversational agent for a website.

Links:

https://www.d-id.com/

In this episode, Alex discusses the AI search engine Perplexity and its impact on search engine optimization (SEO) and marketers. Perplexity aims to deliver more accurate and comprehensive search results by understanding the context and intent behind user queries. It also offers a conversational and interactive search experience. Alex highlights that while AI search engines like Perplexity are redefining user expectations, the core principles of SEO still apply. He emphasizes the importance of understanding buyer personas, building thought leadership and credibility, keeping content fresh and accurate, leveraging the power of communities, and aligning with industry experts. Additionally, he mentions the significance of partnerships with platforms for OEMs.

Keywords

AI search engine, Perplexity, search engine optimization, SEO, marketers, user queries, conversational search, interactive search, buyer personas, thought leadership, credibility, content freshness, accuracy, power of communities, industry experts, OEMs

Takeaways

• Perplexity is an AI search engine that aims to deliver more accurate and comprehensive search results by understanding the context and intent behind user queries.
• While AI search engines like Perplexity are redefining user expectations, the core principles of SEO still apply.
• Marketers should focus on understanding buyer personas, building thought leadership and credibility, keeping content fresh and accurate, leveraging the power of communities, and aligning with industry experts.
• Partnerships with platforms are important for OEMs to ensure accurate and up-to-date product listings.
• As search technology evolves, SEO strategies need to evolve with it.

Links:

https://www.brightedge.com/perplexity

https://www.perplexity.ai/

Apple and Meta (formerly Facebook) are reportedly in talks to partner and integrate Meta's AI models into Apple's intelligence system. This partnership is surprising given the rivalry between the two companies, which stems from differences in vision and philosophy, particularly regarding privacy and control of user data. Despite their differences, both companies recognize the importance of artificial intelligence and are willing to collaborate for the potential revolutionary advancements it can bring to their businesses. The partnership could lead to a more integrated and intuitive AI-driven service for consumers, set new standards for privacy and user experience, and potentially create a more integrated data environment for marketers.

Keywords

Apple, Meta, partnership, integration, AI models, intelligence system, rivalry, privacy, control, user data, artificial intelligence, collaboration, consumer service, privacy standards, user experience, data environment, marketers

Takeaways

• Apple and Meta are reportedly in talks to partner and integrate Meta's AI models into Apple's intelligence system.
• The partnership is surprising given the rivalry between the two companies, particularly regarding privacy and control of user data.
• Both companies recognize the importance of artificial intelligence and are willing to collaborate for potential revolutionary advancements.
• The partnership could lead to a more integrated and intuitive AI-driven service for consumers, set new standards for privacy and user experience, and potentially create a more integrated data environment for marketers.

Links:

https://www.wsj.com/tech/ai/apple-meta-have-discussed-an-ai-partnership-cc57437e