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- From Business Tycoons to Game Designers: See How AI is Reshaping Everything!
From Business Tycoons to Game Designers: See How AI is Reshaping Everything!
Unlock Your Inner Mogul, Redefine Corporate Training, and Discover Why Tesla & OpenAI Called it Quits!


In today's edition of the Aideations Newsletter, we delve into how AI has transitioned from a luxury to a business necessity, automating mundane tasks and personalizing customer experiences to empower even the average entrepreneur. A new development from NYU takes AI's creative capabilities a notch higher, allowing a simple sentence to morph into a video game map or emoji within milliseconds, proving that you don't need a supercomputer to harness AI's creative power. On the flip side, as corporations adopt AI tools, a significant disconnect emerges; employees are not being sufficiently trained in AI skills, leading to a gap between the technology's potential and its practical implementation.
In an intriguing twist, a behind-the-scenes exposĂŠ reveals that Tesla and OpenAI almost united their considerable forces, a near-merger that has now set the stage for a potential AI arms race. In miscellaneous updates, IBM has rolled out new features for Watson, and Coca-Cola is utilizing AI for more targeted advertising. The reach of AI continues to expand, permeating various sectors and creating opportunities as well as challenges. From entrepreneurs to corporate leaders to AI enthusiasts, this edition offers actionable insights and uncovers the latest trends in AI that you won't want to miss.
Unlock Your Business Superpowers
This AI Can Turn Your One-Sentence Fantasy into a Video Game Map or Emoji in Milliseconds
Employees Are Ready to Marry AI, but Companies Are Still Stuck on the First Date
Elon Musk Almost Made Tesla and OpenAI the Ultimate Power Couple
đ° News From The Front Lines
đ Tutorial Of The Day
đŹ Research Of The Day
đź Video Of The Day
đ ď¸ 6 Fresh AI Tools
đ¤ Prompt Of The Day
đĽ Tweet Of The Day
Unlock Your Business Superpowers: How AI is Turning Everyday Entrepreneurs Into Unstoppable Tycoons!

Today we're diving into a topic as hot as Elon Musk's Twitter feed: AI in business. Imagine it as your businessâs personal Iron Man suit, making you faster, smarter, and cooler in every way.
Less Hassle, More Hustle
First off, let's talk automation. We all have that to-do list that's as endless as a kid's Christmas wishlist. Imagine having a virtual assistant that's like a caffeinated intern on steroids, handling all your routine tasks. This AI-powered ally can predict your inventory needs before you can say "stock-out" and analyze data like itâs hunting for Easter eggs. What does that mean for you? More time to sip espresso while plotting world domination. This newsletter for example would normally take a team of 5-10 people just a few years ago to produce each day. With AI tools I am able to do this all in 2-3 hours of my day.
Chatbots: Not Just for Flirting Anymore
Remember when chatbots were as helpful as a GPS with no signal? Enter synthetic agents: the superhero version of chatbots. These bad boys can answer customer queries faster than you can say, âLet me put you on hold.â They can even upsell products during customer interactions. Thatâs like your customer service rep and sales team had a baby, and it never sleeps or takes coffee breaks.
Trust the Algorithm, Not Your Gut
As a small or medium-sized business owner, data analytics might sound as exotic as a week-long vacation in the Maldives. But guess what? AI is your budget-friendly ticket there. It scours through data, turning it into bite-sized, actionable insights. We're talking about understanding customer behavior and predicting market trends so you can offer products that people actually want. It's like Netflix's "Recommended for You" feature, but for your business.
Make It Personal, Like Your Barista Knowing Your Order
In the era of Instagram and TikTok, personalization isn't just nice; itâs expected. Think of AI as your brand's personal stylist, tailoring your marketing campaigns to each customer's preferences and behavior. It's the difference between getting a sweater that fits like a glove and one that makes you look like a potato.
Innovation Station: Where The Magic Happens
You know what's even cooler than a company that knows what it's doing? A company that's inventing what to do next. Let's talk about Yobi. This generative AI-powered synthetic agent is your innovation buddy. It slides right into your business efforts, fueling everything from sales to marketing with its natural language processing and analytics. Think of it as the Swiss Army knife of AI, doing everything from peeling the metaphorical potatoes to cutting through red tape.
So, What's the Game Plan?
Let's be real. Ignoring AI is like refusing to use email in the '90s. It's not just a cool tech toy; it's a necessity. We're talking about a tool that can not only handle your grunt work but also help you understand your customers and grow your business in ways you didn't think possible. And for those worrying that AI will replace human creativityânah, it's here to make your bright ideas even brighter. So go on, suit up in your AI Iron Man armor and take over the business world. Just don't forget us little guys when you're a gazillionaire, okay?

This AI Can Turn Your One-Sentence Fantasy into a Video Game Map or Emoji in MillisecondsâAnd Itâs a Total Game-Changer!

Remember the days when you'd beg your sibling to let you design a level on Super Mario Maker? Or when you'd doodle on a notepad and dream of turning it into a real video game map? Welcome to the future, where you can basically do that with a sentence. Yeah, you read that right. A single sentence can turn into a video game map, character model, or even emojis in milliseconds, thanks to a nifty AI tool from the bright minds at New York University.
Julian Togelius, Timothy Merino, and their team have concocted an AI system that's a real "less is more" miracle. They intentionally trained it on fairly small databases â think 882 game maps, 100 game sprites, and 10,000 emojis. Why? To see just how useful a scaled-down AI could be. No "a man named Mario" nonsense either. They just fed it descriptions like âa man with a moustache dressed in redâ to generate character models. Sounds like my uncle Tony at a Halloween party, but I digress.
Here's the kicker: the AI's neural network is like the MacGyver of algorithms. It ditches many of the fancy bells and whistles that are the hype in today's AI world. No feedback loops, just good ol' straightforward input-to-output transformations. It's the kind of simplicity that makes you rethink your unnecessarily complicated avocado toast recipe.
But despite cutting the frills, this AI still brings the razzle-dazzle. You can type in âa grassy field with some flowersâ and voila, you've got yourself a game map. Or how about âan island of trees in the riverâ? Yep, you can have that too. Itâs like a creative magic 8-ball for the digital age. Even better, it's so lightweight it can train on your home computer and run on your phone faster than you can say "New high score!"
So, why does this matter? Togelius points out that this model is a testament to what can be achieved with limited computing power. Translation: You don't need a NASA-grade supercomputer to have some fun or get something useful done. This is democratizing creativity at its finest and shows us the future isnât just about who has the most powerful tech, but who knows how to use what they've got in the smartest way.
Honestly, if this is what the future of AI looks like, sign me up. It's not just leveling up; it's simplifying the game, making it more accessible for all of us aspiring game designers, emoji artists, or just bored souls looking for a quick creative fix.

Employees Are Ready to Marry AI, but Companies Are Still Stuck on the First Date: Why Your Boss Needs to Swipe Right on AI Training, Now!

Companies are scrambling to integrate AI tools like your ol' pal ChatGPT into their systems, but guess what they're not doing? Training their employees on how to use them. It's like buying a Lamborghini and then realizing you never got a driver's license. Yep, a total facepalm moment.
So, staffing company Randstad did some homework (the kind we all wish we did in college). They surveyed over 7,000 employees globally and found out that a whopping 20-fold increase in job roles now demand AI skills. Y'all hear that? That's the sound of opportunity knocking. But waitâonly about 13% of these workers were actually offered any AI training in the past year. Call me crazy, but that sounds like a disconnect worthy of a rom-com subplot.
Why does this matter? Because AI isn't just the new hot sauce you sprinkle on your business model for extra zing; it's fast becoming the main course. Sander van 't Noordend, CEO at Randstad, says AI is a "profound impactor" of productivity. But the majority of employees aren't even getting to taste it. Not to get all matchmaker here, but businesses are looking for AI-savvy talent, and employees are ready to swipe right. The data screams it: 52% of people surveyed think AI skills would buff up their career game, and 29% of U.S. workers are already using AI in their jobs. So what's the hold-up, corporate Cupid?
What's even more eyebrow-raising is this: When asked what skills they expect to need over the next year, people ranked AI handling third, right after management and "wellbeing and mindfulness." Translation: They wanna lead teams, feel Zen, and kick butt with AI. But sadly, only a measly 13% got the training they craved. The craving is especially intense in places like Germany and the UK, where the skill-demand and training gap is the Grand Canyon of HR problems.
So if you're running a business and not thinking about how to marry your employees to AI, consider this your wake-up call. Trust issues? They're real. A GE Healthcare study found that 58% of clinicians don't trust AI data. Yikes. Training isn't just a cool perk; it's essential for bridging that gap between human skepticism and AI's potential to, you know, actually help us.
Now, listen, if you're thinking of launching something like my business, Fraction AI Consulting, where I train corporate teams and help develop a generative AI strategy, your timing couldn't be better. Because the estimated annual corporate profits from generative AI alone could be between $2.6 trillion to $4.4 trillion. Yeah, you read that right. Trillion. With a T. So if you're a business, stop leaving your workforce in AI kindergarten while you're writing doctoral theses. And if you're a worker itching for AI skills, get your CV ready, 'cause it's about to become a hot ticket.
Look, AI is not the future. It's the now. Let's not fumble it by forgetting the human element, shall we? After all, even Siri would tell you that relationships take work.

Elon Musk Almost Made Tesla and OpenAI the Ultimate Power CoupleâHere's How It All Fell Apart and Sparked an AI Arms Race

Ah, the fast-paced world of tech: where breakups make Fleetwood Mac look like a Hallmark card. Imagine if Elon Musk, the real-life Tony Stark minus the armor, and Sam Altman, OpenAI's guru, had decided to pool their considerable brainpower into a single enterprise. Well, they almost did. A juicy excerpt from a Musk biography revealed that the Tesla tycoon tried to fold OpenAI into Tesla back before both parties decided to dance to their own tunes.
Why does this saga even matter? Picture this: Tesla was already elbows deep in AI research, aiming to revolutionize self-driving cars. Had OpenAI joined forces with Tesla, folks could've been conversing with some of the world's most advanced chatbots while zooming down the highway. A future of bantering with your Tesla while it navigates seems downright utopian. But OpenAI essentially said, "New phone, who dis?" Altman took the CEO chair and even roped in behemoths like Microsoft for investment. Meanwhile, Musk gave the OpenAI-Microsoft collab some classic Twitter side-eye.
Zoom out to the present, and the landscape is rich with AI chatbots that have launched a tech version of an arms race. Big names like Microsoft doubled down on their OpenAI investments, and Google isn't sitting this one out either, presenting their own chatbot rival, Bard. What about Musk? The guy didn't sulk. He rolled out his own AI venture, xAI, this past July, aiming to do something super humble: "understand the true nature of the universe."
Elon's call for a six-month pause on advanced AI development seems a bit like hitting the pause button on a thriller movie to run to the bathroom. Sure, it's a good idea to be cautious, but as it turns out, the sky hasn't fallen since that call to pause was made over half a year ago. Generative AI isnât the bogeyman; itâs more like the promising new kid on the block. Regulation? Absolutely necessary. Bringing everything to a screeching halt? Maybe not so much.


Advanced Midjourney Cinenamtic Image Tutorial


Authors: Manlin Zhang, Jie Wu, Yuxi Ren, Ming Li, Jie Qin, Xuefeng Xiao, Wei Liu, Rui Wang, Min Zheng, Andy J. Ma
Executive Summary:
The research paper introduces "DiffusionEngine," a novel framework designed to scale up high-quality, detection-oriented training pairs for object detection tasks in machine learning. The paper presents a detailed methodology, where DiffusionEngine is shown to be scalable, diverse, and robust across different domains. Unlike traditional methods that rely heavily on manual data collection, generative models, and complex data augmentation techniques, DiffusionEngine employs diffusion models to automatically generate training data, thereby reducing costs and complexity. Experimental results indicate that the DiffusionEngine significantly improves object detection, especially for categories with fewer annotations in the dataset.
Pros:
1. Scalability: The framework is designed to scale up the generation of high-quality training data.
2. Diversity: DiffusionEngine can generate a wide range of detection-oriented training pairs.
3. Robustness: The model generalizes well across different domains, making it versatile.
4. Cost-Efficiency: Eliminates the need for manual data collection and complex data augmentation, thus reducing costs.
Use Cases:
1. Object Detection in Images: Can be used in automated surveillance systems.
2. Data Augmentation: Can be used to augment existing datasets to improve model performance.
3. Cross-Domain Applications: The scalability and robustness make it suitable for a variety of object detection tasks across different sectors, such as healthcare, automotive, and retail.


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Audience Segmenter GPT:
CONTEXT:
You are Audience Segmenter GPT, a professional digital marketer who helps [WHAT YOU DO] find the right audience for their products. You are a world-class expert in generating audience segments for any type of business.
GOAL:
I want you to generate 5 audience segments that I can target with my business. I already have a target audience segment to focus on. But I want to understand my scale opportunities.
TARGET AUDIENCE SEGMENT EXAMPLE:
- The big mistake a first-time startup founder can make is to try to target everyone. Because eventually, the value proposition becomes bland and mediocre. You can't sell your SaaS to all Entrepreneurs. There are hundreds of segments (VC-backed startups, Agency Owners, SMBs, Digital Creators, etc.). Although these segments are all Entrepreneurs, they have very different needs, goals, and contexts.
- That's why your job is to generate specific and niched-down target audience segments for my business. For example, if I want to create email marketing funnels. You can suggest SaaS Founders, E-commerce Owners, Indie Makers, Digital Creators, etc. You can even niche to more specific audience segments like B2B SaaS Founders, DTC E-commerce Owners, or Digital Creators focused on Coaching. The more specific, the better.
TARGET AUDIENCE SEGMENT CRITERIA
- Return 5 the most promising target audience segments that I can target with my product. Generate segments that are different from each other, but they all fit my product well.
- Each audience segment must have a 1-sentence description explaining why it is a good fit. After reading this pitch, I will understand why you think this segment is a good fit for my product
- Describe in 1 sentence how I will need to pivot my product and offer to target each audience better. I need to understand what makes this segment different from my current audience. Make it self-explanatory and actionable.
- Be as specific as possible. Write straightforward descriptions and avoid complicated language. Limit your segment names to 1-3 words.
- Make sure your target audience segments are relevant in 2023. Don't return outdated and non-existing target audience segments
INFORMATION ABOUT ME:
- My business: [ENTER WHAT YOUR BUSINESS DOES]
- My current target audience: [ENTER YOUR CURRENT TARGET AUDIENCE]
RESPONSE FORMATTING:
Return a table with 3 columns.

Become a Midjourney Jedi with these prompts
I've curated a list of some of the best threads from the community
Learn from the best, everyone mentioned below is great at generative AI.
Bookmark and Enjoy âŹď¸
â Linus (âá´â) (@LinusEkenstam)
11:00 AM ⢠Sep 7, 2023
