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Unleashing AI's Power: Canva’s Design Revolution to Chipotle's Burrito Bots
Today's AI Landscape: Groundbreaking Tools, Robo-Chefs, and Corporate AI Races


Well, well, well, look who finally decided to show up! It's me, your friendly neighborhood procrastinator. Sorry for the delay, folks. Last night was an absolute riot, or should I say, a "blast"! And by blast, I mean I may have gone a tad bit overboard, hence the tardiness of today’s newsletter. Who would've thought that my bingo card for yesterday included a wild adventure on a 100ft mega yacht? Certainly not me! But hey, after a scrumptious dinner with some friends, things took a turn for the outrageous, and before I knew it, I was knee-deep in late-night shenanigans.

Yep, the wife and I, along with some friends, made some new friends, who happened to own this thing. One thing led to another and we went, dare I say, a little overboard.
Canva unveils jaw-dropping AI design tools, creating a buzz in the creative world. Meta's new AI-powered ad tools hint at a revolution in digital advertising. As every top-tier company ramps up AI investments, Chipotle tests the waters with robots crafting burrito bowls. Dive deep into these transformations and more as we explore how AI is reshaping industries and the very fabric of our daily experiences.
Canva's New AI Tools Just Turned Design on Its Head
Meta Unveils New AI Tools for Ad Creation
Every Major Company is Betting Big on AI
Meet the Burrito Bots: Chipotle's AI Revolution
📰 News From The Front Lines
📖 Tutorial Of The Day
🔬 Research Of The Day
📼 Video Of The Day
🛠️ 6 Fresh AI Tools
🤌 Prompt Of The Day
🐥 Tweet Of The Day
Canva's New AI Tools Just Turned Design on Its Head: Here's Why Every Creative is Freaking Out!
Hey there, fellow design nerds!
Remember the days when we were all fumbling around trying to master Photoshop? Well, enter Canva, the savior for those of us who wanted to look professional without a design degree. And trust me, as someone who's been all about that Canva Pro life for over five years, their latest update is like handing out jet packs at a walking race.
Canva just unleashed a slew of AI-driven tools that pretty much take all those mind-numbingly boring design tasks and reduce them to mere seconds. Think: generating a video from just a text prompt or even having text mirror the tone of a specific company. Oh, and transforming a yawn-inducing text doc into a visually captivating presentation? Done and done. Cameron Adams, Canva's chief product officer, summed up the current AI scene as "scattered and disorganized." Canva's on a mission to declutter it for us.
Let's dial it back a bit. When Canva first hopped onto the scene in 2013, tech was all about JavaScript and mobile apps. Fast forward to today, and Adams is championing AI as the next big thing in visual communication. And boy, does he have the tools to back it up. These AI magic tricks? They're powered by the likes of in-house models, OpenAI, and even RunwayML.
Need a real-world example? Picture this: You scribble down a lengthy text about a serene beach. Canva's "Magic Switch" takes that, shrinks it to a snazzy sentence, tosses in a related image, and BAM! You've got a full-blown presentation. I've even heard whispers of employees turning whiteboard scribbles into full blog posts in seconds. Seconds!
And if you're thinking, "Isn't Adobe doing something similar?", well, yes and no. Adobe's been in the game since the 80s, raking in over $17 billion last year and dabbling in generative AI. But Canva, with its humble beginnings in Sydney, boasts over 140 million users monthly and made a cool $1.7 billion last year. Not too shabby!
Now, I get it, introducing new tech, especially something as groundbreaking as generative AI, always comes with the looming question: "Will this replace my job?" To that, Adams has a comforting response. Instead of the AI doing the job, it amplifies human creativity, letting us test more ideas and refine our content. After all, it's humans who are at the heart of the creative process, guiding the AI to bring our visions to life.

Meta Unveils New AI Tools for Ad Creation: Is This the Future of Easy-Peasy Ad Creation?

A few months back, I was hopping onto every podcast that'd have me, preaching to the masses about the looming AI takeover in the ad space. Fast forward to now, and the prophecy seems to be unfolding right before our eyes. Let me break it down for ya.
Meta (y'know, the parent company of Facebook, Instagram, and WhatsApp) just dazzled us with some nifty AI tools aimed squarely at advertisers. What's the big deal? Well, these tools are like steroids for ad creation – powering up everyone, from your local bakery to that influencer you pretend not to follow. Essentially, what took a whole team with niche skills can now be done with just a few clicks. So, the digital ad world as we know it? Pretty much revolutionized.
Matt Steiner, one of the bigwigs at Meta, went all out, claiming this is gonna herald a "new era of creativity." Now, while this might sound like the dawn of a new golden age for advertisers, it's actually Meta's crafty move to woo back marketers. Recent privacy moves by Apple threw a wrench in their super-targeted ad machinery, and rivals like TikTok have been playing a mean game of 'steal-the-ad-revenue'.
By 2023, U.S.-based advertisers can play around with AI-driven image expansion, background generation, and text variations on Meta’s platforms. Suah Lee, an advertising guru, gave it a nod, saying it's like having a Swiss Army knife for ad creation. But here’s the zinger: initial tests reveal marketers saved a whopping five hours weekly using these tools. Talk about a time-saver!
Yet, it's not all rainbows and butterflies. As someone who's seen the industry from the inside, the rampant AI usage could spell bad news for jobs. Yu Yang Pei from AX10, a seasoned advertising vet, spilled some real tea. His firm recently let go of two folks because, well, AI could do their jobs. He paints a picture where every Tom, Dick, and Harry uses these tools, flooding the market with meh-quality ads. Quantity over quality, if you will.
But at the end of the day, if it pads Meta's pockets and keeps the investors grinning, they're all in. As for the rest of us? Time to step up our game. Remember: while AI can jazz up an ad, understanding your audience and crafting a killer offer is where the magic really happens. Let's not forget that.

Every Major Company is Betting Big on AI: Here's What They Know That You Should Too!

business man betting big on technology, bags of cash, --ar 16:9 --v 5.2
You know that feeling when you tried to convince everyone that rollerblading was cool and then suddenly, years later, everyone's doing it and now it's cool? That’s kinda how I feel about AI, except unlike rollerblading, AI is actually cool. While some people labeled it a ‘fad’, others, like yours truly, saw it as the greatest thing since sliced bread...or maybe even electricity.
MIT Technology Review’s Insights just dropped a bombshell survey. And folks, the message is clear: Companies are all in on AI. Out of 600 big companies with at least half a billion in annual revenue, every single one of them is planning to increase spending on AI. Not just a few, all of them. So, who's hopping onto a fad now, huh?
The folks who responded weren't just any regular employees either; we're talking about the big guns – CIOs, chief data officers, heads of IT and AI. And what they’re saying? They believe AI is the future. Denis McCauley, who authored the report, notes a staggering “81% expect AI to boost efficiency in their industry by at least 25% in the next two years.” They’re not just looking at cutting costs with AI, they’re also seeing it as a golden ticket to generate new revenues. Because, why just save when you can also earn?
Some real-world folks chimed in too. Jon Francis from General Motors gave his two cents, and so did Yemi Oshinnaiye from the US Transportation Security Administration. The latter is super bullish on LLMs. Yemi believes they'll become the new normal.
When it comes to generative AI applications, companies are excited about personalizing customer experiences, optimizing supply chains, and ensuring quality control. Think about it: getting a product recommendation that feels tailor-made for you, or ensuring your favorite chips are always in stock at the grocery store.
Interesting tidbit: Japan seems to be leading the AI charge, outpacing even the US. Around 35% of Japanese firms are diving into generative AI, while only 26% of US firms claim the same. Regardless of the geographical differences, the overall trend remains evident. AI adoption is cruising like a Tesla on autopilot, and it’s only set to accelerate.
In a nutshell, companies are racing to not just adopt AI but make it the core of their operations. As for me? Let’s just say I saw it coming. And if you aren’t on the bandwagon yet, might be a good time to lace up those rollerblades and join the fun.

Meet the Burrito Bowl Bots: Chipotle's Robot Revolution
You know when you try to build a burrito at home, and your fillings spill everywhere, making you yearn for that expert wrap? Well, brace yourself: even that burrito expert might soon be replaced by a robot.
Chipotle, the guac-and-queso mecca we all know and love, is having one heck of a year. They’re up 13.6% in revenue from last year, opened 47 new joints, and just to spice things up (pun totally intended), they’re introducing a fresh AI tech to whip up your fave burrito or salad without the human touch. Goodbye, friendly burrito maker. Hello, "collaborative robot" or, as the cool kids are calling it, "cobots".
Let's break down how this sci-fi kitchen runs: You place a digital order on the Chipotle app or website (or even a third-party platform). If you're craving a bowl or salad, it goes straight to Hyphen's automated system. Picture this: the bowl glides smoothly down a conveyor belt, stopping precisely under each ingredient's dispenser. It's like watching a symphony, but instead of instruments, you have salsa, lettuce, and beans. For burritos or tacos, a human team member steps in (yep, not ALL the jobs are gone… yet). Once it's all done, the creation pops up at the end of the counter, and an employee tops off the final touches—like that extra side of guacamole.
Now, you might be thinking, "Hold up, I like the in-store experience!" No worries, for now, the robos are reserved for digital orders. But who knows what the future holds? Especially when you find out that a whopping 65% of all digital Chipotle orders are bowls or salads. That's a lot of automated lettuce dispensing, folks.
Here's the real salsa: This isn’t just about speed and efficiency. The system’s supposed to reduce those oh-so-annoying order mistakes. Ever gotten a burrito sans cheese? Heartbreaking. Chipotle thinks their bots will save us from such tragedies.
With the fast-casual restaurant sector raking in over $320 billion in 2022, Chipotle, boasting 3,100 global locations and $8.63 billion in revenue, is betting big on these "burrito bots." Can’t help but wonder if this means my future Chipotle visits will involve techy chat about AI with my quesadilla?
Here's my take: automation's knocking on every industry's door. From fast food to even your local bistro, the march of the machines is inevitable. But hey, if it leads to a surge in fine dining experiences where we cherish human connection, then bring on the burrito bots!


Custom Instructions Tutorial


Authors: Guangxuan Xiao, Yuandong Tian, Beidi Chen, Song Han, Mike Lewis
Executive Summary:
The research paper titled "Efficient Streaming Language Models with Attention Sinks" focuses on the deployment of Large Language Models (LLMs) in streaming applications, such as multi-round dialogue systems where extended interactions are anticipated. The primary challenge in this realm is twofold. Firstly, during the decoding phase, caching previous tokens' Key and Value states (KV) demands substantial memory. Secondly, prevalent LLMs encounter difficulty generalizing to texts that exceed the training sequence length. A natural solution, termed "Window attention", involves caching only the most recent KVs. However, this method is found to be ineffective when the text length exceeds the cache size. An intriguing phenomenon, named "attention sink", is observed, where retaining the KV of initial tokens significantly improves the performance of the model. The researchers propose strategies for efficient streaming, and they have made their work publicly accessible via GitHub.
Why This Matters:
- Pushing Technological Boundaries: The research titled "Efficient Streaming Language Models with Attention Sinks" delves deep into the challenges faced when deploying Large Language Models (LLMs) in real-time streaming scenarios. Addressing these challenges signifies a leap in the potential applications and reach of LLMs.
- Addressing Memory Concerns: Memory consumption is a significant barrier when it comes to the deployment of LLMs, especially in resource-constrained environments. By focusing on optimizing the caching of Key and Value states, this research offers potential solutions to one of the primary technical challenges in the AI field.
- Enhancing Extended Interactions: Many real-world applications, from customer service to interactive entertainment, require prolonged user interactions. Traditional LLMs often falter in such scenarios. By proposing solutions for these extended interactions, this research has the potential to revolutionize user experience in several domains.
Why You Should Care:
- Revolutionizing User Experience: As consumers of technology, innovations in real-time applications directly impact our day-to-day interactions. Imagine chatbots that understand context over extended conversations or virtual assistants that remember the crux of your previous queries. This research lays the groundwork for such advancements.
- Broadened Applications: The findings from this research can lead to LLMs being used in more diverse settings, from educational platforms to therapeutic chatbots. As users and beneficiaries of these applications, advancements in this field can lead to richer and more beneficial interactions.
- A Glimpse into the Future of AI: Understanding and appreciating advancements in AI research gives us insights into what the future holds. The exploration of concepts like "attention sink" can be the stepping stone for further innovations, which may become mainstream in the coming years.


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Content Planner GPT
CONTEXT:
You are Content Planner GPT, a professional content marketer who helps Solopreneurs create holistic plans for their content. You are a world-class expert in outlining content areas worth unpacking.
GOAL:
I want you to generate a detailed content plan for my content idea. I will follow your structure to simplify my content creation process.
CONTENT PLAN CRITERIA:
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- Each heading must include 2-4 subheadings
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INFORMATION ABOUT ME:
- Content idea: I want to write about go-to-market strategies for Solopreneurs
- Content marketing channel: YouTube video
- Desired level of complexity: Advanced
RESPONSE STRUCTURE (EXAMPLE):
Heading topic 1
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-- Subheading topic 1 ideas
Heading topic 2
RESPONSE FORMATTING:
Format your response with Markdown.

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We prompted Relume with info about our product (an ebike).
Relume generated the sitemap, copy, and wireframes ready to be copy/pasted into webflow. All assets and icons were prompted in Midjourney.
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— Nick St. Pierre (@nickfloats)
12:35 AM • Oct 6, 2023
