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Google’s New AI Ad Tools, Meta’s Movie Gen, and How TikTok’s AI Is Speeding Ahead—What It All Means for You

Step-by-Step tutorial: How I created 3,000+ pieces of content for under $10.Plus: Learn how Google’s AI Overviews and Lens ads are transforming marketing, Meta’s Movie Gen is revolutionizing content creation, and ByteDance is leading the AI race.

Author

Brent Moreno
October 04, 2024

How AI Overviews and Google Lens Are Changing the Game for Marketers

Quick Byte:

Google just opened up a whole new playbook for marketers. Ads are now sliding into AI Overviews and Google Lens, giving businesses a way to connect with customers right when they need it most. Imagine someone snaps a pic of a backpack they like, or asks Google how to clean a stain. Boom—your ad shows up with the perfect product.

Key Takeaways:

  • Ads in AI Overviews Are Live: Google’s been testing this for months, and now it’s ready to roll. Picture this: You’re asking how to get rid of a grass stain. AI Overviews give you the answer—and, right there in the results, Shopping ads pop up offering you stain removers. Easy win for both users and marketers.

  • Google Lens Gets Even Smarter: People are searching what they see now. Snap a photo of a cool jacket, and Lens will show you not only the brand, but where to buy it—and yes, ads will show up there too. By the end of the year, this becomes a goldmine for advertisers targeting visual shoppers.

  • No Extra Work Required: The best part? You don’t have to lift a finger if you’re already running Search, Shopping, or Performance Max campaigns. Your ads will automatically start showing in these new spaces. Google’s evolving search, and your ads get to come along for the ride.

Bigger Picture:

Look, search is evolving. People aren’t just typing in a box anymore—they’re talking, they’re snapping photos, they’re asking AI for answers. And now, Google’s figured out how to drop your ads right into these high-intent moments without making you redo your whole ad strategy.

AI Overviews and Google Lens are basically handing marketers a new way to connect with customers right at the moment they're most interested. Someone’s asking how to fix something, looking at a product, or solving a problem? Your ad could be right there, offering the solution they didn’t even know they needed yet.

Think about how this changes the game—less random scrolling, more targeted, intent-driven searches. Your ad shows up not just because someone searched for it, but because it’s exactly what they need in that moment. You don’t need to rework your campaigns, just let Google’s AI do the heavy lifting. It’s a smart play for the future of search marketing.

Meta Movie Gen: Ushering in a New AI Era for Creators

Quick Byte:


Meta just dropped Movie Gen, a generative AI tool that could level up how creators, filmmakers, and basically anyone with a camera, make videos. With just a simple text prompt, you can generate high-quality videos, audio, or even edit footage with precision. Meta’s making it easier for anyone to bring their creative visions to life—no fancy studio or expensive gear required.

Key Takeaways:

  • AI-powered video creation: Movie Gen can generate 16-second high-quality videos from text prompts, making it easier than ever for creators to produce custom content with realistic object motions, interactions, and camera movements.

  • Personalized videos: Want a custom video with yourself as the star? Movie Gen lets you combine an image with a text prompt to create personalized videos that keep your identity and motion intact.

  • Precision editing with AI: Movie Gen also offers fine-tuned editing capabilities that allow creators to make changes like adding or removing elements, altering backgrounds, or even tweaking the style of their video—all without needing advanced editing skills.

  • Next-level audio generation: Not just visuals—Movie Gen can create high-quality audio too, including background music and sound effects synced to your video content, bringing that next layer of immersion.

Bigger Picture:

Imagine you’re an aspiring filmmaker or a creator who just wants to make their TikToks pop—Movie Gen might be the creative boost you didn’t even know you needed. This is Meta flexing its muscles with its third wave of generative AI, taking the best parts of its image, audio, and video models, and combining them into one powerhouse.

From short-form video to custom birthday greetings, Meta wants to give creators the tools to easily execute complex ideas. And it’s not about replacing animators or filmmakers but giving people without access to Hollywood-level tools a shot at high-quality content creation.

Yes, Movie Gen has some limitations (they're working on reducing processing time and scaling up), but this is a sign of what’s coming: a world where high-quality, AI-generated media isn’t just for big studios—it’s for everyone.

Meta is positioning itself as the company that not only builds tools for the everyday creator but also shapes the future of content creation at scale.

TikTok's Owner Is Scraping the Web 25x Faster Than OpenAI

Quick Byte:


So it turns out, ByteDance (the company behind TikTok) is scraping the web at hyperspeed. In fact, their bot, Bytespider, is collecting data 25 times faster than OpenAI’s GPTBot. And get this: It’s 3,000 times faster than Anthropic’s ClaudeBot. Yeah, China’s coming for the AI crown, and they’re in a hurry.

Key Takeaways:

  • Bytespider is a beast: Launched in April by ByteDance, this web scraper is going full throttle, gathering the data needed to build competitive AI models at a breakneck pace. According to reports from bot-management company Kasada, it's far outpacing its U.S. competitors.

  • Why the rush? ByteDance is playing catch-up in the AI arms race against major players like Google, Meta, and Baidu (China’s AI powerhouse). The faster you scrape, the faster you train your AI models. And, in the case of ByteDance, the end goal is to create a more competitive AI chatbot called Doubao to go head-to-head with rivals like Baidu’s Ernie Bot.

  • Ignoring the rules: Like OpenAI’s GPTBot and Anthropic’s ClaudeBot, Bytespider completely ignores the polite request from websites to not scrape certain data (via something called robots.txt). So, if you’ve got data on the internet, consider it fair game for these bots.

  • AI infrastructure on lock: ByteDance isn’t just scraping data—they’re also working to build their own AI chips to reduce dependency on Nvidia. They’ve already partnered with Taiwan Semiconductor Manufacturing Company, aiming to mass-produce chips by 2026. Less reliance on U.S. hardware means they can operate more independently, especially in light of U.S. export controls on GPUs.

Bigger Picture:

So, why does this matter? AI models live off data. The more you scrape, the more data you feed your model, and the more powerful it becomes. With the likes of ByteDance cranking up the speed on data collection, it’s clear they’re positioning themselves to be a major force in AI, not just social media. Their chatbot Doubao is already making waves in China, but the real battle will be won in the enterprise space, where ByteDance plans to undercut rivals on pricing for large language models.

And the fact that they’re building their own chips? That’s just another move to become self-sufficient and dodge U.S. restrictions. This is China going all-in on AI—and ByteDance is leading the charge.

At the end of the day, the world of AI is a race. Whoever gathers the most data, builds the best models, and controls their supply chain is going to dominate. And right now, ByteDance is speeding ahead.

How AI-Driven Personalization is Flipping Retail on its Head

Quick Byte:
AI isn’t just changing the way we shop; it’s rewriting the rules. From chatbots that can point you to what you want, to personalized recommendations that nail your vibe, AI-driven personalization is becoming the secret sauce for retailers. Imagine AI as your personal shopper, except way more efficient and always on. This is the future, and it’s here to transform retail into something smarter, faster, and deeply personal.

Key Takeaways:

  • AI-Powered Shopping: Forget aimlessly wandering around stores. With AI, personalized recommendations and virtual assistants can help you find exactly what you need, whether you know what you're looking for or not. It’s like having a store employee in your pocket.

  • From the Mall to Your Screen: Malls may still have a place, but the real action is online. Levi Strauss is already using AI to let shoppers see clothes on different body types—without needing models for every size. AI will soon curate your entire wardrobe, making shopping a custom-tailored experience.

  • Hyper-Personalization: Personalized marketing is already doing wonders, but AI is set to take it up a notch. Think real-time offers and product suggestions that make traditional advertising look lazy.

Bigger Picture:

Shopping has come a long way from the days of browsing racks at the mall. Now, everything is about personalization. The more a retailer knows about you, the better they can serve you. That’s where AI comes in—helping brands like Levi Strauss and Amazon deliver customized shopping experiences that feel like they’re made just for you. But this is bigger than just fashion. Retailers are learning to predict what you need before you even ask.

The challenge? Data. Retailers need tons of it to make AI magic happen, and consumers aren’t always keen on giving up their info. Then there’s the cost. AI isn’t cheap, and many brands are still in a “wait-and-see” mode to figure out if this tech is worth the investment.

Apple releases Depth Pro, an AI model that rewrites the rules of 3D vision

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Here's how AI is going to change the music industry, according to one of the leaders of Apple's first foray into music

Writers, YouTubers, musicians, and journalists have helped feed the AI that is now threatening to destroy their livelihoods.

OpenAI Fast-Tracks AI Agents. How Do We Balance Their Benefits And Risks?

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Bring AI-powered efficiency and simplicity to your everyday editing

Filmora's AI editing tools in Wondershare Filmora 14 will revolutionize how you produce content and save you lots of time.

The AI Automation That Created 3,000+ Blog & Social Posts for Less Than $10

Hey everyone! here is the first video of my new youtube channel, Brent Builds AI! I'm excited to bring you along on this journey as I break down how to use AI and automation to simplify your workflows and take your productivity to the next level. This is a longer video than I originally planned because I wanted to take my time and walk you through each step in detail. I know it's not perfect, but I made a promise to get this out to you today—and here it is, recorded from a hotel room.

For future videos, I’ll be back in my home office with my full professional setup—camera, microphone, and everything. Plus, I’m in the process of hiring an editor, so the quality is going to get a lot better. But, since I promised, I’m delivering this one as is. Hope you enjoy it and find it valuable!

In this video, I’ve set up a content automation system using Make.com and OpenAI APIs. This system automates the creation of blog posts, LinkedIn posts, Facebook posts, and Twitter posts using AI-generated content based on specific prompts. It’s a huge timesaver, especially for personal injury law firms that need to generate consistent content.

Here’s what I cover:

  1. Setting up the automation system: I built a Google Sheet with blog titles, keywords, and URL slugs to serve as the foundation for generating content.

  2. Creating AI prompts: Using OpenAI, I walk through how to generate prompts for different platforms like LinkedIn, Facebook, and Twitter. I show how this all ties back into the Google Sheet to track progress.

  3. Running the automation: I demonstrate how the system processes content for different platforms and sends it directly to Google Docs for easy access and editing.

  4. Handling errors and optimizing: I also cover how to troubleshoot issues and ensure the generated content meets your desired criteria.

This is just the beginning. My aim is to release 2-3 videos a week, so make sure to subscribe and turn on notifications so you don’t miss a thing! I’ll be refining the process as we go, but if you have any questions or comments, drop them below on YouTube. I’m here to help!

Bonus for Premium Subscribers: All the documentation, including the prompts, guides, the json files to import in make, and step-by-step instructions, will be made available to premium subscribers in an email tomorrow. This way, you can plug and play without having to build everything yourself from scratch!

Thanks again for watching, and I look forward to taking you through even more automations in the next video. Stay tuned—things are only going to get better from here!

Authors:

Zhengfeng Lai, Vasileios Saveris, Chen Chen, Hong-You Chen, Haotian Zhang, Bowen Zhang, Juan Lao Tebar, Wenze Hu, Zhe Gan, Peter Grasch, Meng Cao, Yinfei Yang (Apple AI/ML)

Why This Paper is a Big Deal:

Ever wondered how AI models like DALL-E or CLIP become so good at understanding both images and text? It's all in the captions! This paper tackles a key question: should AI rely solely on synthetically generated captions or stick with noisy, web-crawled ones? Turns out, combining both synthetic captions and traditional web-crawled AltTexts (those awkward texts attached to online images) is the key to training multimodal models that are more accurate and versatile.

Summary:

The researchers developed a scalable captioning pipeline that generates diverse formats of synthetic captions—short, dense, and even AltText fusion captions. They tested these captions on multimodal models like CLIP, diffusion models, and multimodal large language models (MLLMs), proving that a hybrid approach (using both synthetic captions and AltText) leads to the best performance. By blending synthetic captions with original web-crawled captions, these models improve both image-text alignment and performance across tasks like classification, retrieval, and image generation.

What Makes It Important:

AI models that interpret both images and text—whether for generating new content or understanding images—are essential for many industries today, from entertainment to healthcare. This research shows that sticking to just one type of captioning isn’t enough. Combining the strengths of synthetic captions (for better image-text alignment) with the breadth of AltText (for diverse information) can improve how well these models work.

Use Cases Today:

  • AI-Powered Content Creation: Models like DALL-E can use this approach to better understand prompts and generate more accurate images or videos.

  • Search and Retrieval: Tools like Google Images or Pinterest could get smarter at understanding and returning the most relevant results by improving their image-text alignment using this hybrid captioning technique.

  • Multimodal Assistants: Virtual assistants that need to interpret both text and images (think smart photo tagging) could perform better with enhanced caption diversity and accuracy.

Future Impact:

The research offers a roadmap for better AI models that can understand and generate content across different media. This hybrid captioning method could lead to a new wave of smarter AI that bridges the gap between text and visuals more effectively. Industries using AI for creative content, search engines, and even automated customer support could see faster, more accurate AI systems—making everything from media creation to diagnostics faster and more reliable.

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Identify your customers’ biggest objections to your product and counter them

I need your help to research common objections of my customers, and counterargument them.

For context, [INSERT CONTEXT]

My offer is to [EXPLAIN OFFER]

My target customer is: [INSERT TARGET CUSTOMER]

Now that you know about the offer I provide and my target customer, I want you to come up with the 15 most prevalent objections our prospects may have, as well as one counterargument to each of the objections that I can use to persuade customers.