Don’t write off Google and Meta

OpenAI has been on everyone's lips with the release of ChatGPT, which became the fastest product to reach 100 million users. While there is no doubt about the pace of innovation and efficiency they are delivering, It would be unwise to dismiss the potential of Meta (3.5 billion users) and Google (4.3 billion users) in the AI arms race, given their significant user bases. Let's take a closer look at what they have been doing with AI.

Google

Google is far from being sidelined in the AI industry as they continue to innovate and adapt to the changing landscape. The tech giant is working on a revolutionary "all-new search engine" powered by AI technology, intending to provide users with a much more personalised experience that can anticipate their needs. Simultaneously, they are developing new AI-based features under Project Magi to improve their existing search engine. This demonstrates Google's unwavering commitment to reimagining the search experience and staying at the forefront of the industry.

Project Magi, in particular, aims to enhance the user experience by allowing searchers to complete transactions directly on the search engine, such as purchasing products or booking flights. This new functionality will streamline the user experience while maintaining the profitability of Google search ads (they will no doubt not want to cannibalise their $225 billion Adwords product). Additionally, the company is working on various other AI-driven projects, like Google Earth's mapping technology, GIFI for generating images in Google Image results, Tivoli Tutor for language learning, and Search along for interacting with chatbots within the Chrome browser. As search technology continues to rapidly evolve, Google's innovations in AI and search engine technology demonstrate that they remain a formidable force in the AI industry.

It's not like Magi will kill classic SEO, but it might have significant implications for the world of SEOs and people wanting to get organic traffic from Google. Here are some potential effects:

• Shift in focus: With Google's AI generating answers, SEO professionals might need to optimise content for AI-generated responses and collaborate with the AI to provide accurate information.

• Personalisation: As the search experience becomes personalised, SEO professionals may need to tailor content to cater to specific user preferences and needs by analysing and segmenting users.

• Conversational optimisation: With a more conversational search interface, SEO experts might need to create content that answers questions directly and is easier for AI to understand and interpret.

• Increased competition: With Google facilitating transactions directly on its platform, businesses and websites may face increased competition. SEO professionals will need to find new ways to stand out, possibly by improving user experience, offering unique content, or leveraging other marketing channels.

• User engagement and retention: With AI-generated answers, websites may need to focus more on user engagement and retention by creating more interactive content and offering personalised experiences.

Ultimately, SEO professionals' success in the era of Project Magi will depend on their ability to adapt to the changing search landscape and find innovative ways to optimise content for both users and AI-generated responses. This has always been the case for SEOs, but this time it might just be a bigger shift.

Meta

Meta AI's recent announcement of DINOv2 has caught the attention of the tech world, and for good reason. As a state-of-the-art self-supervised vision transformer model, DINOv2 has the potential to revolutionise computer vision tasks without the need for fine-tuning. This versatile backbone can be employed for a wide array of tasks, including image classification, segmentation, image retrieval, and depth estimation.

One of the most striking features of DINOv2 is its ability to learn from any collection of images, regardless of the presence of text descriptions. This self-supervised learning model can derive features directly from images, allowing for a better understanding of local information. By bypassing the limitations of image-text pretraining, DINOv2 can generate higher-quality segmentation and achieve a robust understanding of object parts and images. This innovative approach significantly broadens the potential applications for computer vision models.

Meta AI has not only built this groundbreaking model, but they have also open-sourced DINOv2 and shared an interactive demo here. This bold move showcases the company's commitment to pushing the boundaries of AI research and fostering a collaborative environment in the field. Meta AI's work on DINOv2 complements their other recent computer vision research, such as Segment Anything, further solidifying their position as an influential player in the AI race.

OpenAI has certainly made a significant impact in the world of AI, but it's important to remember that they are not the only players in the game. Meta has made great strides in developing artificial intelligence as well, with projects such as DINOv2, Llama, and SAM. Google is also a major player in the field of AI, with access to the world's largest datasets. This gives them an edge in the competition, as they can use their vast resources to develop more advanced and sophisticated AI systems. As such, it would be unwise to dismiss them both as contenders in the race for AI supremacy. It’s going to be fascinating to watch this space play out. Tomorrow, we will take a look at what Apple might have up its sleeve

Jenko

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AI is set to be the next big thing, and Sean has been thinking about it for a long time. In this episode, you'll get a glimpse into the possibilities AI provides. So buckle up and get ready for a conversation that might change the way you think about the future of AI and company building.