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- 4 Things Going on in AI Right Now
Overwhelmed by the AI news cycle? Me too. Here are 4 AI headlines worth your time.Consider me your AI news.
- 4 Things Going on in AI News Right Now
Overwhelmed by the AI news cycle? Me too. Here are 4 AI headlines worth your time. In 2022, there was a trickle of news about the AI industry. In 2023, there was a news beat. Well, here we are in 2024 and the AI news beat is now an AI firehose. The speed and volume of AI updates is dizzying…and that’s coming from a girl who loves this stuff. Who’s doing what with whom?… And why should I care? Here are 4 things worth understanding in 2024 AI news. 1. Google launched Gemini, an AI-driven voice assistant. Read This: Google Releases Gemini, an A.I.-Driven Chatbot and Voice Assistant (NYT, Feb 8) What’s Happening: First, we had voice assistants like Alexa, Siri. Then we got AI chatbots like ChatGPT, Bard. Google just took a huge step forward by launching it’s new smartphone app — a talking AI assistant called Gemini. Gemini is powered by Google’s huge new large-language model (LLM), Gemini Ultra. Gemini is like if Alexa and ChatGPT had a baby. You’ve got the accuracy of the best voice assistant and a multi-modal AI chatbot — mutimodal because it can read, understand, and provide results back as text, image, or audio, or code formats. Why You Care: As humans, we don’t carefully separate our tasks by type or format or category. Life comes at us as a messy, multimodal cacauphony. I have high hopes that this will be the world’s first ‘assistant’ app that truly acts like a human assistant. To be continued. Late-breaking update: Appears like most of us mortals won’t be able to access the Gemini app until the cool kids are bored with it. 2. There’s a new AI Safety Consortium called AISIC Read This: Leading AI Companies Join Safety Consortium to Address Risks (Reuters, Feb 7) What’s Happening: The Biden administration is spearheading the first real AI safety consortium of over 200 entities, to support the safe development and deployment of generative AI. AISIC (aka: the U.S. AI Safety Institute Consortium) members cut across industries and include members from Google to JPMorgan Chase to Palentir. Why You Care: Because we don’t really want election tampering, nuclear threats, or AI overlords. It’s early, but this is finally a step in the right direction. 3. AI-Driven voice robocalls are now illegal. Read this: AI Robocalls can Trick Voters. The FCC Just Made Them Illegal. (AP, Feb 8) What’s Happening: This week, the FCC outlawed AI-voiced robocalls in a unanimous vote, in an attempt to get ahead of the use of AI to generate ‘fake news’ or to tamper with elections in any way. This ruling is tied to the the malicious AI robocalls sent in the voice of President Joe Biden within New Hampshire, dissuading people from voting in the 1st U.S. primary in the country. Why You Care: It’s a proactive move to counter the negative side of AI. This unanimous passing by the FCC sends a strong proactive signal that AI deception will not be tolerated in the U.S…especially related to elections and politics. I mean… it’s robocalls. Not sure if it’s just me, but these days I get at least 2 spam robocalls to my mobile phone each day. Can you imagine if we add AI-voiced robocalls as well? 4. Are you E/acc or E/A? Time to pick sides. Read This: Inside the Sectarian Split Between AI Builders (The Independent, Feb 7) What’s Happening: Most of us were left scratching our heads about the whole Sam-Altman-vs-his-own-OpenAI-board thing. He’s out! He’s going to Microsoft! All of the employees are going to walk! Oh wait…he’s back. Anyhoo. So what the heck happened there? To understand, you need to learn a little bit about the two big tech movements that are increasingly asking us to choose sides between starkly extreme philosophies: E/acc: Effective Accelerationism. You believe in innovation without limits...or at least without regulatory constraint. Unrestricted tech progress will solve nearly all universal human problems (war, poverty, disease, climate change). Unrestricted development of AI. E/A: Effective Altruism. Effective Altruism, at its core, is about using evidence and reason to find the most effective ways to benefit others. Slow and ethical development of AI and other technologies to solve the world’s biggest problems, from global poverty to disease eradication…to the existential threat of annihilation via AI development. As you can see, the movements aren’t opposing by definition. It’s more like the EA community often believes that the quick evolution of technology is often not in the best interest of humanity, the planet, life. And the E/Acc community usually believes that unfettered technological development is the path to solving the world’s problems. There’s so much more to say here. Looking for e/acc versus e/a rabbit holes? Try this and this and maybe this. Why You Care: I mean…if you don’t care about the future of humanity and the planet and/or the threat of world annihilation, then I’m not sure we can be friends anymore. But in all seriousness…you’ve heard me say this before: Tech is having this debate about the future of humanity without you. I cannot express enough how much we need your voice, your expertise, your knowledge. School yourself then get involved. It may seem esoteric, but I promise you, these movements are shaping up to guide our human future with AI. Kinda important. Oh wait! I forgot to get into what the HECK this has to do with Sam Altman and OpenAI? More to come, but essentially, OpenAI’s leadership is split between factions: the board that fired Altman is largely E/A, and they saw him as an increasingly E/acc-type threat. To be continued. This was a good project for me to read the headlines, too. Let’s do it again, ok Technormalists?
- AI is Powered by GPUs. It’s Time to Understand What They Are.
If AI is your overbooked restaurant, GPUs are your new expanded pizza kitchen. Since starting at NVIDIA about a month ago, I’ve spent a lot of time schooling myself on GPUs — especially when it comes to why they are crucial to AI advancement … and thus, why NVIDIA’s stock is so astronomical right now. GPUs. I knew it had to do with processing graphics for gaming. I knew it was somehow powering the metaverse under the hood. But it took me starting a job at NVIDIA to buckle down and really understand how GPUs have anything to do with generative AI and large language models. To understand why GPUs are essential to generative AI (and all machine learning), we need to talk about how computers work. Before you yawn, you should know that this metaphor was generated through a brainstorm with ChatGPT. I asked for some analogies that will help us truly get it…and ChatGPT suggested a pizza kitchen. Want to understand why AI is Powered by GPUs? Read on. 1. Your computer is like a restaurant. Your restaurant has 2 kitchens: the general kitchen and the pizza kitchen. Imagine your computer is your own restaurant, and business is booming. You have lots of different things on the menu, including delicious custom pizzas. The problem? Making pizzas is super labor-intensive for your chefs, who have to stop what they were doing to make one. That’s why you launched a pizza kitchen. Think of your computer like a restaurant that employs two key kitchens:1) the CPU (Central Processing Unit) kitchen and the GPU (Graphics Processing Unit) kitchen. The CPU is like the main kitchen where general food preparation happens, and it handles a variety of tasks. The GPU, on the other hand, is our specialized pizza kitchen, designed for specific tasks like making pizzas quickly and efficiently. 2. The CPU Kitchen: Jack of All Trades You can’t constantly derail your head chef (your computer’s) with custom time-intensive pizza orders. Let’s hire some pizza chefs (GPUs). The CPU kitchen is versatile, equipped to handle a range of tasks, from chopping vegetables to simmering sauces. It’s like a skilled chef who can cook everything but might take more time to prepare for a large banquet … or to make lots of pizzas. In computer terms, the CPU handles general computing tasks, from running your operating system to browsing the web. 3. The GPU Pizza Kitchen: The Specialist Then the restaurant built the GPU pizza kitchen. Here, the focus is on making pizzas (processing graphics and complex computations). Like a team of chefs each handling part of the pizza-making process, the GPU is designed for parallel processing. It’s great at doing many specialized tasks simultaneously, like kneading multiple dough balls or adding toppings to several pizzas at once. 4. Parallel Processing: Many Hands Make Light Work Parallel processing in the GPU is like having multiple chefs working on different pizzas at the same time. Each chef (GPU core) focuses on one part of the task, such as rolling dough, slicing toppings or baking. This teamwork leads to a lot of pizzas (data) being prepared quickly, which is essential for tasks like playing video games or running AI algorithms. 5. Why AI is Powered by GPUs In the world of AI, data is the key ingredient. Preparing this data requires specialized handling — akin to making a lot of pizzas quickly in our GPU kitchen. GPUs can process large chunks of data simultaneously, making them ideal for training AI models, where vast amounts of data need to be processed efficiently. 6. The Rise of NVIDIA: A Top Chef in the GPU Kitchen NVIDIA has emerged as a top chef in the GPU kitchen. NVIDIA’s expertise in making high-quality, efficient GPUs has made them crucial in the AI and gaming industries. Having NVIDIA’s GPUs is like hiring a team of the best pizza chefs, ensuring that complex data tasks are handled swiftly and efficiently … and don’t bog down the main kitchen from preparing everything else. 7. The Combo of the CPU and the GPU In a well-run restaurant, the main kitchen and the pizza kitchen work in harmony. Similarly, in a computer, the CPU and GPU complement each other. The CPU handles general tasks, while the GPU takes on more specialized, data-intensive tasks. Together, they make your computer fast, powerful, and versatile. Just as a pizza kitchen is essential for a restaurant specializing in Italian cuisine, GPUs are vital for computers handling graphics-intensive tasks (running video games) and complex computations (AI operations). The GPU pizza kitchen is required to run AI computations…or your entire restaurant will fail.
- Creative Brainstorming with ChatGPT, Part 2: Your Team Brainstorm
This is post 2 of 2, republished from my previous Medium blog. Missed Part 1? Go back and read it first here. A couple of months ago, I was asked to give an AI presentation at a marketing conference in London, geared specifically for Chief Marketing Officers and Agency Leaders. As I was researching material before building the talk, I realized that there is a glut of content out there for technical "left-brained" use cases, from coding to math. But there was little-to-no content for us right-brained creatives -- especially for senior leaders with entire teams to educate, too. Creative Brainstorming with ChatGPT was the talk I gave, turned into this 2-part blog post. In Part 1, we brainstorm 1:1 with ChatGPT (I linked to that at the top--check it out first). Here is Part 2, where you brainstorm with your team and ChatGPT. Brainstorming with Your Team & Your Intern, ChatGPT Here's my advice on how to enhance and guide a team brainstorm with an AI. I prefer ChatGPT, but use what you like best. 1. Pick Your Invitees Carefully. 6 Max. We all know how hard it can be to manage a group brainstorm. You want everyone to feel free to contribute, but you still have to stay organized. The fewer team members, the better. 2. Have ChatGPT Craft Your Agenda. This is just good brainstorm etiquette, and now you have your ChatGPT intern to do the heavy lifting with you. 3. Warm the Team Up on Using ChatGPT It may feel like the world is talking a out AI, but the large majority of us have never touched ChatGPT before. We're going to get the team started with ChatGPT by giving them a fun, silly ChatGPT project to try before our meeting. Maybe make it optional? This should be light and fun. Below is an idea, but you can come up with your own! 4. Email the Team with the Agenda and the Hands-On Project A few days before the brainstorm, email your team to give them more details (there are probably a lot of questions on what this meeting is all about!). Make sure to let them know you'll be including ChatGPT in this brainstorm. Ask them to suspend disbelief (and feeling silly) for this session. You'll be acting as if ChatGPT is a part of the team. I like to specifically use the language that you'll be brainstorming with ChatGPT...not using ChatGPT (as you would Google). 5. The Pre-Brainstorm Briefing for ChatGPT Remember how we gave our ChatGPT intern lots of context in Part 1? The same applies here. Just like people need context (even geniuses), ChatGPT has no idea what you want when you start a fresh chat thread. Instead of having to repeat everything, go back to your 1:1 brainstorm chat, and cut/paste the context you gave it on the project, your tangible goals (getting the new business, rethinking a creative vision, etc). Make sure to share those top 3-4 ideas you landed on with ChatGPT in Part 1. The more context you give your AI intern, the better equipped it will be to hit the ground running -- so you don't have to waste your team's time. It's up to you, but I literally tell ChatGPT that it's job is to co-manage this team brainstorm with me. It's truly like having a brilliant helper. Below are a few ways to structure your team meeting using creative thinking activities that include ChatGPT. 6. The ChatGPT-Led Mindmapping Here's a way to kick off the session with mindmapping. I include the prompts I would start with to conduct the activity. Remember: A prompt (like the below) is a starting place. Think of your ChatGPT prompts as a conversation...not a 1-time command. 7. The ChatGPT 1-on-1 Ideation Challenge Have your team bring their laptops. Have team members start their own ChatGPT chat threads. Use the parameters below -- make sure to give a time limit, with each person reporting back to the group on what they came up with (prepare to laugh--some may be out there!). 8. The ChatGPT Idea Speedround This activity is about spitballing with no judgement. The goal here is volume. 9. The 5-Minute Wildcard Concept Challenge Below is a sample prompt for the ChatGPT intern. 10. Synthesizing Insights with ChatGPT You've done some creative, fun things with ChatGPT...but being an intern isn't all fun and games. Before you assign someone with writing the recap email, consider giving the task to ChatGPT. Go back to your chat thread -- the one you created a couple of days ago. Have everyone cut/paste/send you their results. You can then paste the agreed-upon ideas into your ChatGPT thread, assigning the drudgery to the intern. ChatGPT loves a clear job to do. Because you've included ChatGPT in the entire process, it's primed to write up your results. It'll do so with joy. And Remember My Hot Tip from Part 1. If a human intern got something wrong, you'd correct them. If conversations are going in the wrong direction, you can always click the Stop Generating button on ChatGPT. Feel free to interrupt it mid-sentence. I'd love your feedback, as I'm learning alongside you. Did you try this? Have better ideas? Did something hit right? Did it flop? Message me on LinkedIn to let me know.
- Creative Brainstorming with ChatGPT, Part 1: The 1-on-1 Brainstorm
This is post 1 of 2, republished from my previous Medium blog. A couple of months ago, I was asked to give an AI presentation at a marketing conference in London, geared specifically for Chief Marketing Officers and Agency Leaders. As I was researching material before building the talk, I realized that there is a glut of content out there for technical "left-brained" use cases, from coding to math. But there was little-to-no content for us right-brained creatives -- especially for senior leaders with entire teams to educate, too. Creative Brainstorming with ChatGPT was the talk I gave, turned into a 2-part blog post. Part 1 focuses on conducting a solo brainstorm with ChatGPT--just the 2 of you. Part 2 is where you schedule and manage a group brainstorm with your team and ChatGPT. I'll give some explainers between the slides -- but feel free to connect with me directly to dive into detail on any of these steps. Let's go. The 2-Part Brainstorm Process I created a 2-part process that you can follow step-by-step. No experience required. You simply need to be able to read these instructions, then sign up for a ChatGPT account by going to chat.openai.com In this post, we go through Part 1: Your Solo Brainstorm with ChatGPT. In the next post, we'll conduct a similar brainstorm, but with the members of your agency or team. So why do BOTH? Why conduct a closed-door solo-brainstorm before you bring in the group? Teams are fun. Teams are creative. Teams can also add a layer of chaos right at the moment when you yourself are trying to learn. So let's kick off the 1:1 ChatGPT creative brainstorm. Ready? Go. Your 1-on-1 Creative Brainstorm with ChatGPT Here we go. Put aside the doubts and trust me here. Give this a shot, and I'd love to hear how it goes! Tips welcome. 1. Clear Your Calendar for 2-3 Hours One Workday. You wouldn't triple-book a team brainstorm, would you? Treat yourself with the same respect. Look out a few weeks and block an entire morning or afternoon, on a day when you don't expect too many interruptions. Working from home might be perfect here. Keep your commitment to yourself and keep this time dedicated to the process. 2. Pick a Project We all have projects looming that deserve a little time and thought. It does not have to be a big agency pitch. And creative thinking applies to anything without a 'template.' How to pick the right project here? It should be a project where you'd already be required to think creatively, whether for a client or your own team projects. Think about looming high-priority projects, impactful future pitches, important existing or potential clients. What high-impact project thinking have you been putting off? For the purpose of this blog post, we'll be creating a pretend scenario. I'm imagining myself to be the head of a creative ad/marketing agency, asked to pitch Proctor & Gamble on a brand refresh strategy for their longtime brand, Pepto Bismol. 3. Prompt ChatGPT Like You're Emailing a New Intern Let me explain... and this part is important, so hear me out. One of the biggest mistakes I see new AI users make is talking to AI the way you'd talk to Google. The way you'd command a computer. Think about it: We've all been trained (for over 20 years--or maybe your entire life) to command computers, browsers, the internet using boolean search. We had to learn this new, non-organic method in order to optimize search results, find things on a hard drive, etc. a) Boolean search involves typing something like this into Google: best ski resorts, families, utah, 2023 Over the past year, I have tested all kinds of ways to prompt ChatGPT, in order to get optimized results back. What I've found is this: ChatGPT is best prompted by using natural, human language. b) A natural human language search would be something more like: hi chatgpt. i'm looking to book a ski trip for my family of 4 this winter. we live in utah, and the kids are 10 and 5. act like you are the world's top family ski resort expert and travel agent and break down the top 10 family ski resorts in utah, giving me a sentence on why for each. Think about it -- when people first started using Google, our search queries were probably in 'human' language format. We had to unlearn that behavior, revising our natural human language into the language structure understood by our computers. This served us well for the past 2 decades. But AI is different. AI models itself on humans, preferring our human language, thought processes, and structures. If we had never learned boolean search language, this would come so naturally to us. Yet for pretty much all of us, this will feel unnatural at first. Trust me and try speaking to ChatGPT in human-styled lanaguage, phrasing, and style. In fact, I'm taking this a step further. I am going to ask you to use your imagination. For real. You're creative. You can do this. Here's what I'd like you to imagine for this brainstorm exercise: I want you to imagine that you have a new marketing intern starting today. They are sitting in front of you right now, waiting for you to give them direction on their 1st project. You got the #1 Ivy League marketing intern in the world--congratulations. This kid is a genius. They are also completely new to your business, your team, your agency, your projects. Let's even name him Sam. Just as if you had an actual intern sitting in front of you, they would need complete context...no matter how brilliant they are. Sam might have the highest IQ at Harvard, but that does not mean he has any idea of what you do here. Below is a sample prompt, so you can see what I mean. This prompt was from my presentation, but if I were to optimize it, I'd give a bit more context to ChatGPT by adding a more defined 'role': Act as if you were hired by my agency as our Harvard-educated intern, beating out hundreds of global student candidates because of your quick, out-of-the-box brainstorming capabilities. I'd add this snippet before the final 2 sentences (so we can finish the prompt by asking GPT to summarize and repeat back the objective in this chat thread. Here's a breakdown of the prompt: a) Say hello. Did you notice I greet ChatGPT? When I say 'treat ChatGPT like you're talking to a person,' I mean it. I am seeing time and again that keeping the humanity (greetings, thanks) truly affects the quality of the outcomes you'll get. b) Give context. Just like a person, ChatGPT needs context. We're going to assume our intern, Sam, did not grow up in the USA and may have never heard of Pepto Bismol. It's our job to explain. c) Lay out the goal. ChatGPT thrives on tangible, quantifiable goals. It wants to 'win' every query for you. Try to give your intern something to shoot for. d) Three magic words: ACT AS IF. ChatGPT is just waiting to hear about your job to be done and the role it should play. Give it a clear outline of 'who' they are in this query. e) Make sure your intern gets it. Maybe half the time, you're going to find that ChatGPT does not quite understand what you are asking it to do. We want to course-correct as soon as possible here, so always always ask ChatGPT to repeat the query back to you. 4. Review ChatGPT's Recap Closely In our example, below, Sam got it right. But don't let him push you to 'get started' if he's got it wrong. This is the time to course correct, if we want to keep the the rest of the conversation on track. Do not be rushed. 5. Outline the Deliverables How can intern Sam do his job right if he doesn't understand what is due? Just like we double-checked that he had the task guidelines correct, we're going to make sure to be very specific when it comes to what we expect to get back. 6. Review ChatGPT's Results. Pick 3-4 Favorites. Okay - Sam was raring to go, so I let him run. He came back with a list of Pepto Bismol rebrand concepts, in no specific order. I asked him to prioritize a few selects, telling me why he liked those best. I know, I know...your every fiber feels ridiculous, but ask. And always ask why. 7. File Those Top 3 for Your Team's Brainstorm Best case scenario? You immediately love ChatGPT's 3-4 picks, agreeing wholeheartedly with the reasoning, the concepts, the ethos. Done. But just like with people...That's a tall order and a long shot. In most cases, the first batch of results returned to me by my intern are basic. Lame. Uncreative. Or maybe there's one I like. Don't settle. If the first collection of brainstorm results are basic and uncreative,... I tell ChatGPT that I do not like any of these ideas, because they are basic and uncreative. Ask for more. Keep asking. Keep sending Sam back to the drawing board until you start to get excited by the results. I find that oftentimes, ChatGPT's first round of results are mundane or typical. I also know that if I keep asking, it will run out of mundane and typical suggestions, and start to at least provide original, interesting, potentially weird results. And that's basically what creativity is, right? Weird, offbeat, unexpected results. Don't rest until you get those. Then file them away...we have a creative brainstorm to plan with your team. And Sam is invited. Ready for the team brainstorm? Dive in to Part 2! Bonus Content: Here's how I handle off-track results. Just like with people, ChatGPT might not 'get' what you want at first. And just like with people, you try to patiently explain a different way. Or give more context. Provide links, images, text copy. Maybe reframe. When you work closely with a partner, it takes some time to get in sync. This is the same type of investment. Try it.
- ChatGPT with Kids: Fran’s Magical Travel Agency
I know I know…there’s a lot of drama going on at OpenAI, and most AI blogs are talking about that. Is Sam Altman the CEO? Is he out of favor? If you’re looking for that, you can find it all over google and social media. In the meantime, how about we have some fun, learn, and get creative with our kids and AI? I have a growing collection of ideas for games and activities you can play with your kids and ChatGPT. Instead of jamming them into one listicle, I think I’ll break them out individually. So here’s the first of a series of ideas on how to play with ChatGPT…with your kids. This is meant for kids of any age up to 12-ish. Yes, you have to play along, too. Let’s Pretend with ChatGPT: Dream Vacation Planning with Fran What It Is: This is an imagination-based game that relies on role playing. The two of you need to truly pretend that you are planning the wild and creative vacation of your dreams…or your kid’s dream’s anyway. Set the Scene for You and Your Child: Tell them that you are going to play a creative imagination game with ChatGPT. You have to put your imagination in full gear and truly role play and pretend to make this as fun as possible. In this imagination game, you guys are pretending that you’re walking into a magical travel agency to plan the vacation of your dreams. This magical travel agency only opens once every 100 years, and you are lucky enough to have found it! How to Play: Go to ChatGPT (https://chat.openai.com). Paste the Prompt Below: Cut/paste the prompt below into a new chat (the dialog box you’ll find front and center towards the bottom of your computer screen). Talk to Fran: Fran will then ‘host’ you in her agency to plan the vacation. She will ask you questions about the trip geared to your child. You can also ask her questions about her magical agency! Rename the Chat: After you enter the prompt, you can rename this chat thread “Fran’s Magic Travel Agency.” On the left-side of your screen you’ll see all of your chats including this new one. Hover your mouse over the new chat. You’ll see 3 dots. Click that and rename the chat.
- Loud Labs, Unknown Unknowns, and our 5th Cofounder: AI
In my last Technormal post, I told you about the startup I’m cofounding with my partners called Loud Labs. We started Loud as a series of passionate debates over a firepit — bonding over a shared hatered of how our lives our split these days, between our digital and analog lives. It was around that fire during Covid that we all committed to solving this problem together, for us, for our kids. Loud Labs is building products that integrate the digital and analog into ONE life for people, using augmented reality, location, and generative AI. If we get this right with Hidden Layers, we could work towards getting the screens out of people’s faces. Our kids can grow up participating fully in their organic, real life, enhanced with the digital tools we love. Those fireside talks turned into our mission: To flip the relationship we have with our tech, which today relies on the human proactively driving action. To get what we want or need today, the human must always start with the device command: We must check in, scan a code, open an app, search a URL, capture an image, send, or click. Today, we must KNOW what we are looking for to find it. Today we’re surrounded by what we know. So what about discovering anything new? My dad used to say: "There are the things you KNOW you KNOW. There are the things you KNOW you don’t know. But 99% of life is comprised of the things you DON’T KNOW you DON’T KNOW." Online, it’s a different story — web2 cracked discovery using personalized algorithms. These algorithms take hundreds of factors into account, then deliver the most contextually-relevant content for ME to me, for YOU to you. They’ve become SO adept that they now even drive discovery. TikTok’s “For You” feed is new content, specifically chosen for that specific user. Algorithmically-sourced content drives our discovery of the THINGS WE DON’T KNOW WE DON’T KNOW. Tiktok, YouTube, Netflix, Google, Meta, Instagram, LinkedIn… they have all cracked online content discovery, providing us with recommendations for the THINGS WE DON’T KNOW WE DON’T KNOW. BUT…what about our ‘real,’ analog lives? How does discovery happen there? The answer? It doesn’t. We are still in the same position as our ancestors, fumbling around in the dark for tools, answers, solutions, sticking to what we know. Every day in our real lives, we are BLIND to the hidden layers of people, places, and things that we would love. We wander past our favorite books, our soul mates, our greatest talents, our undiscovered passions. We miss the hidden layers. We need a discovery engine for LIFE…called Hidden Layers. Loud Labs is building Hidden Layers — the first geospatial discovery engine for our analog lives. Producers, venue owners, creators pin select content to geolocation-fenced areas, to be discovered by the right audience of users in the right place at the right time. With your explicit permission, Hidden Layers taps into your real-time location, your identity and preferences, your memberships and statuses, and proactively alerts you to contextually-relevant content, deals, messages, offers, media, when you are in the position to act. You’re reminded you have that coupon when you enter the store parking lot…NOT on the receipt after your purchase. And the very top layer? We’re using generative AI as the ‘host’ or assistant for the user, guiding us through the process of discovering and activating these Hidden Layers all around us. This isn’t just an idea. Our team is building on our decades of work experience, experimentation, and past startups. Most of all? We’re passionate about ending this bifurcation of our lives. We want our kids to put the devices down and participate in life. Let’s stop stuff like this: Loud Labs is committed to using AR and AI to make technology work for US, not the other way around. Let’s build a future where we LOOK UP.