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The Wild Ride Ahead: How AI Like Gemini Will Change Life As We Know It

Brace Yourself for the Thrills and Spills of Our Algorithmic Future

Today's jam-packed Aideations newsletter covers the imminent launch of Google's revolutionary Gemini AI and its potential to be 5-20x more advanced than GPT-4. We explore the promises and perils of this technology, from curing diseases to automating jobs. Also discussed is the shift from SEO to AO (Algorithm Optimization) as AI platforms like Google become one-stop shops for answers. Learn how you may be training your own AI replacement through corporate data collection.

Get expert tips on creating sleek AI videos for social media. Dive into new research showing large language models can implicitly encode theory of mind abilities despite no human-like experience. Discover AI tools for efficiency like Glimpse, Akkio, Marketing Blocks, Alicent, Mavex and more. From the exhilaration and uncertainty of emerging tech to how we can adapt, this Aideations newsletter covers the AI rollercoaster ride ahead.

Is Google's Gemini AI About to Change Life as We Know It?

Say Goodbye to SEO and Hello to AO

The Sneaky Way YOU Might Be Training Your Own AI Replacement

šŸ“° News From The Front Lines

šŸ“– Tutorial Of The Day

šŸ”¬ Research Of The Day

šŸ“¼ Video Of The Day

šŸ› ļø 6 Fresh AI Tools

🤌 Prompt Of The Day

🐄 Tweet Of The Day

Is Google's Gemini AI About to Change Life as We Know It? Why We're Thrilled and Terrified for the Future!

stable diffusion, google logo, people walking in a city --ar 16:9 --v 5.2

Alright, let's get real about the AI rollercoaster we're all strapping into, whether we like it or not. You've heard of AI affecting everything from your Spotify playlist to your Uber ETA. But hold onto your hats, people—things are about to get wilder. Google's upcoming Gemini model is rumored to be 5-20x more advanced than the current GPT-4. Let that sink in for a moment. This isn't some tech evangelist spiel; this is the next frontier. And as someone knee-deep in AI research and development, even I'm having a hard time wrapping my head around it.

So, what's the big deal? Imagine a Swiss Army knife of AI models. Gemini is set to be based on DeepMind’s Gato, which can do 604 tasks from image recognition to text analysis. It's like owning a smartphone in an era when people were still bragging about their Palm Pilots. But while we're getting all giddy about AI's next party trick, let's not forget the flip side. With great power comes great...uncertainty. A sentiment echoed by everyone from Harvard economists to Silicon Valley bigwigs.

Consultants augmented by AI are already churning out tasks 25% faster and 40% better. But that also means we're skating on thin ice when it comes to issues like bias and ethical quandaries. It's like AI is that friend who helps you move but might accidentally break your grandma's heirloom vase. We're still figuring out the rules of engagement here, folks.

Now, let's talk regulation—or the lack thereof. Even AI execs are saying, "Please regulate us!" But we're in tricky territory. AI is evolving faster than a greased pig on a waterslide. And with much of this tech being open-source, it's like trying to put toothpaste back in the tube. Good luck with that.

The bottom line? We're in an 'Age of Uncertainty,' as they say. The promises are mouth-watering—cures for diseases, solutions to climate change, you name it. But the risks? Let’s just say they range from job losses to, oh I don't know, human extinction? So, while I'm stoked for what AI like Gemini could mean for businesses and society, let's not forget we're also drafting the script for a Black Mirror episode in real-time.

So, as we all anticipate Google dropping the Gemini mic, let's also consider this: Are we prepared for a world where AI isn't just a tool but a potential entity with its own "thoughts"? Yeah, it's exhilarating but also terrifying, like skydiving without a parachute. And if we don't start preparing for this inevitable future, well, we're all in for a freefall.

Say Goodbye to SEO and Hello to AO: How Algorithms Are Becoming the New VIPs of Digital Marketing

search engine algorithm on a computer screen --ar 16:9 --v 5.2

Ah, SEO, the digital marketing darling we all loved—or loved to hate. Remember the days when you'd stuff keywords into your website like you were cramming for an exam? Good times, right? But folks, the tides have turned, and we're not in Kansas anymore. The new kid on the block is AO—Algorithm Optimization—and it's not just a Google thing. Let me break it down for ya.

Google's new AI-based search is like a polite butler who not only opens the door for you but also tells you what's inside the room, who's in there, and what they're talking about. You ask a question, and Google doesn't just show you the top results. Nah, it tries to give you the whole story: context, follow-up questions, and everything in between. It's so good that I rarely click on third-party links anymore. Why would I? Google's AI has become my one-stop-shop for answers.

But here's the kicker: that's a nightmare scenario for businesses relying on good ol' search traffic. So, if you're still focused solely on SEO, you're playing a game that's already been lost. The future isn't just Google—it's Facebook, Instagram, and TikTok. Heck, even Instagram and TikTok get special shoutouts; they're the VIPs in this algorithmic club. If you're not optimizing for their algorithms too, you might as well be sending smoke signals in the digital age.

Now, don't get me wrong, SEO isn't totally six feet under. Google will still display your website in search results, but if Google's AI is spoon-feeding people the answers, there's no reason for them to visit your site. It's like having a store where people can see everything through the window but never feel the need to come in. Your traffic is gonna drop faster than my jaw when I saw the finale of "Breaking Bad."

So what's the game plan? You've got to embrace AO, and I mean really cuddle up to it. Start optimizing across ALL algorithms. Get cozy with Instagram's Explore tab and TikTok's For You Page. Test out content concepts, even if they bomb. Failure here is just the first step to understanding what these algorithms want. It's like dating; you've got to know what the other side likes if you're going to make it work.

Bottom line: The algorithms are taking over, and they're not just affecting how we socialize or get our news; they're reshaping the way we do business. So, if you're still living in an SEO world, it's time to pack your bags and move to AO city. Trust me, it's where all the cool kids are headed. And remember, the times are a-changin', so you better change with them or get left in the digital dust.

Is Your Computer Watching You? The Sneaky Way YOU Might Be Training Your Own AI Replacement Without Even Knowing!

a computer with cartoon eyes on the screen as if it's watching you --ar 16:9 --v 5.2

Alright, let's cut to the chase. Remember the tale of the new guy who's taught the ropes by the veteran, only for the vet to be canned once the rookie's up to speed? Classic, right? Well, welcome to the future, where you're the veteran and your new colleague is a piece of code. Yup, you might be training your AI replacement and not even know it.

Imagine walking into work, logging into your system, and your boss says, "Hey, meet your new AI teammate." You laugh, thinking it's a joke. But the truth is, companies are using corporate spyware to collect heaps of data on how you work. That data? It's the raw material for training AI that could one day do your job. Carl Frey, the economist who made waves back in 2013 saying nearly half of U.S. jobs could be automated, says he's not that worried about ChatGPT and its cousins making us all obsolete. But let's be real: the pace of AI is like a teenager discovering TikTok—insatiable and exponential.

I hate to be the one to break it to you, but if your job involves shuffling numbers, emails, or anything remotely repetitive, you're basically a lab rat in a data collection experiment. And you know who loves experiments? AI. They're like sponges, soaking up every click, decision, and mistake you make to become better at your job than you are. It's not just blue-collar assembly line and warehouse gigs that are up for grabs; white-collar jobs are on the chopping block too. Bankers, insurance agents, even paralegals—no one's safe.

Look, I've been banging the drum about the AI clock ticking closer to midnight for years. Ever since I saw that video, "Humans Need Not Apply," my gears have been turning. I've shared that video like a hundred times, no joke. The naysayers always go, "Ah, we're a long way from that." Are we, though? I started my AI consultancy to help people upskill and adapt, and trust me, adaptation is the name of the game right now.

Now, let's talk about the elephant in the room: Universal Basic Income (UBI). I know, it's as divisive as pineapple on pizza, but hear me out. As AI starts doing our jobs, UBI might just be the safety net we didn't know we needed. My idea? Let's make our data work for us. Each one of us has thousands of data points being bought and sold every day—why not get a piece of that pie? That’s exactly what POPN sets out to do.

In the end, this isn't a sci-fi movie. The robots aren't coming; they're already here. Companies are eyeing the cost-benefit like a hawk, and if an AI can do 80% of your job at 0% of your salary, well, you do the math. So instead of getting all John Connor on AI, maybe it's time we think about how we fit into this brave new world. After all, it's easier to ride the wave than try to stop it.

How to Create Cinematic AI Videos

Authors: Yair Lakretz, Tal Linzen, and Yoav Goldberg

Executive Summary:

The study explores the Theory of Mind (ToM) capabilities of large language models (LLMs) and their potential to represent another's perspective. The researchers found that LLMs exhibit surprising convergence with the neural activity of dorsal medial prefrontal cortex (dmPFC) neurons in humans, despite significant structural and algorithmic differences between the two. The study suggests that LLMs can implicitly encode ToM abilities, even though they are largely trained on vast language corpora with no explicit experience in interacting with others or direct representation of agency.

The researchers designed a set of questions to test the ToM capability of LLMs, based on scenario statements and fact questions concerning the physical state of reality. The trials were grouped in pairs, containing one true-belief and one false-belief trial in each pair. The trials in a pair start with very similar scenario statements providing background for the reader to infer whether the agent’s belief in the story is aligned with the reality or not. The researchers modified the questions to align with the LLMs' characteristic of generating outputs in the form of predicted upcoming words with a probability distribution across all possible tokens.

The study's findings shed light on the potential of LLMs to exhibit ToM capabilities and contribute to our understanding of cognitive processes in artificial intelligence. However, the researchers note that their findings are limited to open-source LLMs, as they did not have access to the hidden embeddings of higher-performing LLMs such as GPT-4. The study also highlights the need for further research to examine whether hidden embeddings show selectivity to the trial types (false-belief or true-belief) and to directly compare the results to those from single neurons in human brains.

Pros:

  • The study provides evidence that LLMs can implicitly encode Theory of Mind (ToM) abilities.

  • The findings shed light on the potential of LLMs to exhibit ToM capabilities and contribute to our understanding of cognitive processes in artificial intelligence.

Limitations:

  • The study's findings are limited to open-source LLMs, and the researchers did not have access to the hidden embeddings of higher-performing LLMs such as GPT-4.

  • Further research is needed to examine whether hidden embeddings show selectivity to the trial types (false-belief or true-belief) and to directly compare the results to those from single neurons in human brains.

  • The study's methodology relies on a specific set of questions and may not generalize to other ToM tasks or scenarios.

  • The study does not address the ethical implications of LLMs' potential ToM capabilities, such as the risk of perpetuating biases or manipulating human behavior.

Use Cases:

  • LLMs with ToM capabilities could improve their ability to understand and generate more nuanced and contextually appropriate language, leading to more effective communication with humans.

  • LLMs could be even more useful in applications such as chatbots, virtual assistants, and customer service, where understanding and responding to human emotions and perspectives are critical.

  • The ethical implications of LLMs' potential ToM capabilities need to be carefully considered and addressed to prevent unintended consequences.

Glimpse - Chat with the internet! A powerful AI chrome extension that understands any site you visit. Read faster, write better & surf smarter.

Akkio - Forecast revenue, analyze live data, visualize survey sentiment, track ad spend, and predict customer lifetime value in one intuitive platform.

Marketing Blocks - The future of marketing is here. Marketing Blocks replaces your marketing team. AI that generates high-level human-like marketing assets (copy, design, video, graphics, etc) …so similar to the work of expert marketers that it is impossible to tell the difference.

Alicent - The All-In-One ChatGPT Toolkit for Busy Folks

Mavex - Your personal AI Executive Assistant, can help with all your tasks, from scheduling and calendar management to email drafting and beyond.

Height - The autonomous project collaboration tool, powered by AI.

First Principle Thinking GPT:

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Using First principle thinking, brainstorm the following topic: [enter your topic]

My Example:

Using First principle thinking, brainstorm the following topic: 

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