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Aideations: At the Cutting Edge of AI's Impact on Business

Your guide to how AI is transforming jobs, education, food service, manufacturing, and beyond.

Welcome to today's issue of the Aideations newsletter, your inside track on how AI is transforming business. In this edition, we dive into the big question of whether AI could make many jobs obsolete within just 10 years. While predictions vary on AI's potential impact on employment, key figures agree we need to thoughtfully guide AI's integration.

We also explore how teachers are joining forces with an AI service called GPTZero to catch student plagiarism. But is this AI watchdog the right move, or could it breed mistrust? On a lighter note, we look at how restaurants are injecting a bit of AI into their operations - from bot-powered drive-thrus to robot salad tossers. And at Amazon warehouses, a new robot workforce aims to speed up shipping but could also accelerate automation.

That's just a taste of this issue's standout stories on AI's growing role in business. Read on to stay on top of the latest trends and perspectives.

Why Your Job Might Vanish in 10 Years

Teachers Join Forces with AI Detective to Catch Cheating Students

Would You Like AI with Those Fries?

Amazon's New Robot Army

📰 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

AI is Taking Over: Why Your Job Might Vanish in 10 Years and Why That Might Not Be a Bad Thing!

Let me be clear: the future of work is, well, complicated. I've got this lingering fear of becoming the tech version of Chicken Little, always hollering about the sky falling. But when tech gurus speak, I pay attention.

At a recent gathering in Laguna Beach, some of the big kahunas of the tech world converged for the Wall Street Journal’s Tech Live conference. The topic? How AI will redefine the essence of having a job. OpenAI's head honcho, Sam Altman, gave us a bit of a reality check. He believes that while AI may spell advancements for society at large, there are bound to be some who'll get the short end of the stick. But it's not all gloom and doom; Altman wants us all to co-create this brave new world.

Meanwhile, venture capitalist Vinod Khosla, who’s been in the tech game for over four decades and was an early supporter of OpenAI, had a rather startling prediction. He reckons that in a decade, AI could possibly take over "80% of 80% of all jobs we know of today". For context, he highlighted how certain professions like physicians and accountants might become almost obsolete. Why? Well, AI systems have an enviable knack for accessing vast amounts of knowledge at lightning speed. Khosla's forecast reminded me of the dwindling agricultural jobs in the U.S during the 20th century. However, that transition took generations, not mere years.

The silver lining? Khosla believes that with AI prosperity, the whole 'need to work' thing might vanish in about 25 years for tech-embracing nations. He even nodded at the idea of a universal basic income. But just tossing money at the problem isn’t the answer. Altman emphasized the need for creative expression outlets. He believes people will still want to make significant contributions to society.

OpenAI threw the AI scene into a frenzy with the launch of ChatGPT. The overwhelming success of this tool spurred a lot of debates, especially concerning how governments and the general public should brace themselves for the AI revolution. One major talking point: distinguishing between real and AI-produced content. OpenAI was pretty thoughtful about this. They intentionally named the chatbot "ChatGPT" instead of giving it a human-sounding name to avoid any mix-ups.

Contrastingly, over at Meta, they're doing things a tad differently. They've crafted AI chatbots mimicking celebs like Naomi Osaka and Snoop Dogg. These bots clearly state they’re AI at the start of a convo – at least there's transparency.

It's evident that the AI evolution is upon us. And while I'm all for innovation, it's crucial we consider the implications. We're at this precipice of determining what our world looks like when jobs as we know them change dramatically. There’s the lure of materialistic growth, but with AI on the horizon, some major rethinking is in order. My two cents? Embrace AI for productivity, but let's ensure safety nets for everyone affected. And, a heads up, I'm eagerly awaiting DevDay in November. OpenAI might just spill more beans there. Stay tuned!

Teachers Join Forces with AI Detective to Catch Cheating Students: Genius Move or Total Overkill?

Let's chat about a move that's got me scratching my head. The American Federation of Teachers (AFT) is hopping on the AI train with GPTZero, an AI detection platform. Their mission? To spot AI-generated content. Sounds fancy, right? But here's where I'm squinting: while the aim is to monitor students who might be cozying up too much with AI for their assignments, I can't help but question the motive.

Sure, AFT’s Randi Weingarten says there's a place for AI in the classroom. But, come on! An AI watchdog? We’re not in some AI-dystopian novel here. With GPTZero's recent launch of tools allowing students to declare their content as "human-made" or admit to an AI assist, I can't help but think this feels like we're heading to a future where we're all wearing "I am not a robot" badges.

Enter Edward Tian, Princeton grad and GPTZero co-founder. He's on a quest to define AI's role in education. And while he stresses that AI in education shouldn’t be combative, the whole setup seems geared towards suspicion. The AI-detection angle? Call me skeptical, but it feels like a dubious cash grab. Especially when OpenAI, the masters behind ChatGPT, couldn't even crack the code on a foolproof AI detection system.

Look, I'm not saying AI doesn't have a spot in the classroom. Weingarten makes a good point about AI's potential to reduce bureaucracy and aid in lesson planning. But should we be treating students like potential culprits, or should we be teaching them to use AI responsibly?

Here’s my two cents: Instead of pouring money into platforms like GPTZero, let's focus on guiding students on how to incorporate AI responsibly. The future's about collaboration, not interrogation. And let’s not even start on how unreliable AI detection can be. Remember that one professor who nearly flunked his entire class over “AI-generated” work? Yeah, that's a rabbit hole we don't need to revisit.

Would You Like AI with Those Fries?

Here's the AI serving you didn't know you wanted, but you're getting anyway: Quick-serve joints like Wendy's, IHOP, and the guac aficionados at Chipotle are jazzing up their service with a sprinkle of AI. Whether it's robot bartenders serving your margarita (make mine a double, please) or kitchen comrades shooting kale into your salad (yes, kale is still a thing), the age of automated eats is upon us.

Picture this: You're at a drive-thru. Instead of the muffled human voice that barely understands your customized burger request (no onions, please!), you're greeted by a voice bot. Cool, right? That bot might even know your usual order. "Would you like the usual bacon cheeseburger, with extra cheese and no onions?" Why, yes. Yes, I would.

But wait, it gets juicier. The actual reason for this AI influx? Restaurants are battling labor shortages. Enter stage left: AI to save the day! And hey, if it also gets customers to splurge a bit more because a bot recommends adding bacon (always add the bacon), all the better.

But there's a flip side. Just imagine a frustrated customer venting on TikTok about a haywire McDonald's drive-thru that misinterpreted their order for two Chicken McNuggets as... 28. Honestly, though, can there ever really be too many nuggets?

Now, here's where big tech slides into the DMs. Wendy's and IHOP are getting cozy with Google Cloud. Google's aiming to be the kingpin of food service tech, offering everything from voice automation to personalized munchie recommendations. IHOP thinks you need hash browns with those blueberry pancakes. (I mean, who doesn't?)

Behind the scenes, restaurants are leaning even harder on AI – think worker scheduling, food safety, and inventory. The result? Faster service and possibly (hopefully!) fewer salad mishaps.

However, let's pump the brakes a bit. Not every AI romance blooms. Remember when McDonald’s courted a robotic fryer back in 2019? Yeah, they broke up. McDonald's CEO Chris Kempczinski played it cool, hinting that while robot headlines sizzle, it's not always the practical choice. Plus, there's the slightly creepy side of AI over-researching customers' personal details. No thanks!

The real tea? We're about to see an explosion of AI in our favorite fast-food spots. And as long as my order comes out right, I say, "Bring it on!" But a heads up to these food giants: handle with care. Because if the tech gets too intrusive or just plain wrong, there might be a side of customer backlash with that order.

Amazon's New Robot Army: The Future of US Manufacturing or the End of Warehouse Jobs?

Amazon, that e-commerce giant we all have a love-hate relationship with, is revamping its warehouse game. If the regular speedy deliveries weren't enough, they're now injecting some next-level AI and robotic muscle to zip things even faster. And not just any robotics system, but one named after giant trees – Sequoia. I'm not sure if that's genius or just an ode to Mother Nature, but it's catchy.

The whole narrative around this warehouse spruce-up revolves around this Sequoia system. It's designed to be efficient (obviously) and safe, with the promise that humans and robots can coexist in harmony. Think "The Jetsons" but in an Amazon warehouse, sans the flying cars. The game changer? A boost in order processing speeds that can shave off up to 25% of order fulfillment times. Impressive, right?

Here's where my opinion weighs in – and, heads up, it might be slightly controversial. It's clear that the rise of AI and robotics could be the ticket to bringing manufacturing back to the US. Imagine the dollars saved on shipping, customs duties, and those endless import taxes. But if you're hoping this would mean a flood of jobs... well, don't hold your breath. Humans, meet your new robotic colleagues. Amazon's reassurance that they aren't trying to replace workers is a tough pill to swallow. After all, labor costs are Amazon's Achilles' heel.

Amazon's new system is not just about speed, but it's also a nod to safety. By delivering items at waist level, they're trying to save the backs of many workers who previously had to play warehouse Tetris with heavy items on high shelves. Their goal? To minimize injuries. But, let's face it, as robotics and AI integrate deeper into operations, the layout and flow of warehouses will inevitably change. And that might not always be in favor of human jobs.

Speaking of robots, Amazon's new robotic toy, Digit – no, not a finger, but a bipedal robot – is gearing up for some action. Designed by Agility Robotics, this fella will be handling tote containers. But my Spidey sense tells me this is just the start.

To wrap it up, whether you're Team Human or Team Robot, one thing's certain: Amazon's drive for innovation isn't slowing down. As for the promise of AI bringing back American manufacturing – it's definitely on the horizon. But with fewer humans and more machines. Either way, the manufacturing game is changing, and fast. So, stay tuned and keep those Amazon Prime memberships handy!

Authors: Yichun Shi, Peng Wang, Jianglong Ye, Long Mai, Kejie Li, Xiao Yang

Executive Summary: 

The research paper introduces "MVDream," a cutting-edge multi-view diffusion model designed to generate consistent multi-view images from a provided text prompt. This model leverages both 2D and 3D data, aiming to achieve the general adaptability found in 2D diffusion models while ensuring the consistency typically seen in 3D renderings. A notable feature of MVDream is its multi-view prior, which serves as a flexible 3D prior that remains agnostic to specific 3D representations. This model can be applied to 3D generation using a technique called Score Distillation Sampling, which enhances the consistency and stability of existing 2D-lifting methods. Furthermore, MVDream can learn new concepts from a limited number of 2D examples, positioning it as a tool for 3D generation similar to DreamBooth.

Pros: 

1. Multi-View Consistency: MVDream can generate consistent multi-view images, ensuring a harmonized view from different angles.

2. Leverages Both 2D and 3D Data: The model combines the benefits of 2D diffusion models with the consistency of 3D renderings.

3. Flexibility: MVDream's multi-view prior is agnostic to specific 3D representations, making it adaptable to a variety of applications.

4. Enhanced 3D Generation: By using Score Distillation Sampling, the model can improve the consistency and stability of 2D-lifting methods.

5. Rapid Learning: The model can learn and generate new concepts with just a few 2D examples.

Why This Matters:  

The development of a model like MVDream signifies a significant advancement in the realm of 3D image generation. The ability to create consistent multi-view images from a simple text prompt can have vast applications in industries like gaming, film, virtual reality, and more. Its ability to learn quickly from a limited set of examples makes it a potent tool for developers and creators who might not have access to vast datasets. Furthermore, its adaptability to both 2D and 3D data sources means that it can be applied in a variety of scenarios, making it a versatile tool in the world of image generation.

🤖 AGI and advanced AI are imminent, requiring preparation from businesses, governments, and individuals.

🧠 The definition of AGI is evolving, with a focus on multimodal capabilities and cognitive abilities surpassing humans.

🌐 AGI will have significant social, economic, and technological impacts, necessitating adaptation across all sectors.

🤯 "Normalcy bias" is a cognitive bias that could hinder preparedness for AGI's rapid advancement.

🏛️ Governments must address potential widespread unemployment and adopt AI services to adapt effectively.

🏢Businesses should recognize AI as a paradigm shift and invest in AI to remain competitive.

🧑‍💼 An AI talent crunch is emerging, making internal talent development crucial for businesses.

😌Emotional adaptation is essential as individuals face the profound changes brought by AGI.

💼 "Forever jobs" may be those that cater to demand-side preferences and are resistant to automation.

📈]Achieving social status may require reevaluation as AGI transforms traditional status markers.

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"""