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AI Developments: Upskilling, Voice Cloning, and Brain-Like Chips
The Latest on Democratizing AI Training, Reactions to Vocal AI, and IBM's Revolutionary Chip


Welcome to the wondrous world of AI, brave pioneer! Buckle up as we blast through this week's most riveting AI stories.
TL;DR š:
1. The Upskilling Ultimatum: Workers know AI is coming. Now, they need accessible training so everyone can level up, not just the privileged few.
2. Voice-Stealing AI: Artists are split on AI that clones their singing voices. Some call it demonic, others say resistance is futile.
3. Meet the AI Brainiac: IBM's new chip NorthPole leaves current tech in the dust with its speed, efficiency and brain-like design.
4. The Adult Industry's Virtual Vixen: Riley Reid makes her own chatbot, embracing AI instead of fighting it. Her digital twin is ready for risque convos!
5. Research Highlight: Training AI agents with memory augmentation helps them follow open-ended, complex instructions. Less programming, more efficiency!
6. Bonus Bites: FCC probes sneaky AI phone spam, Google Bard's alleged censorship, new tools to "poison" AI models.
Stay savvy, stay ahead, and above all, stay curious! This revolution waits for no one. šš
š° News From The Front Lines
š Tutorial Of The Day
š¬ Research Of The Day
š¼ Video Of The Day
š ļø 6 Fresh AI Tools
š¤ Prompt Of The Day
š„ Tweet Of The Day
Are You Ready for the AI Revolution? Why Your Degree Doesn't Matter But This One Thing Does!

Vector image of a balance scale. On one side is a stack of books and a graduation certificate, representing formal education. On the opposite side is a brain intertwined with digital circuits, representing the power of adaptability and innovation in the AI era.
When it comes to upskilling and education, we've got a VIP section that's barely letting in anyone without a college degree. Yep, that's right. We're at a transformational point, and a lot of folks are standing outside the velvet rope.
You know how we've been preaching that AI isn't here to steal your job but to be your sidekick, your co-pilot? Well, turns out people are getting the memo. Six out of ten American workers believe they need to skill up because of AI, and one-third think they need to do it, like, yesterday. But here's the kicker: most AI education programs out there are like swanky wine bars with a college-degree dress code. They're practically nonexistent for frontline workers who make up more than 80% of the workforce. Talk about an educational FOMO!
Guild, an education benefits platform, has been tracking this like a hawk. Their research shows that a lot of these AI courses are designed for engineers or execs. No love for the average Joes and Janes in non-tech roles. Look, we can't have AI be the new golfāan exclusive club where deals are made, and opportunities are found. The playing field has to be level for everyone, whether you're a frontline worker in customer service or a mid-level marketing exec.
The framework for AI education isn't rocket science. We're talking about four major lanes here:
1. AI Fundamentals: The basic how-tos, ethics, and implications.
2. AI in Practice: Practical training on AI tools.
3. AI Expertise: For those wanting to integrate AI into their business environment.
4. AI for Leaders: Because your boss needs to know what they're talking about, too.
I can tell you from my own experience at Fraction AI Consulting, implementing AI training for frontline workers to execs is not just a futuristic pipe dream. It's happening, and the impact is real. It cuts down the time for mundane tasks and saves organizations big bucks. Heck, IKEA is already living in 2025. Their chatbot, Billie, handles almost half of all customer issues. They didn't fire their call center staff; they retrained them as interior design advisors. Now, these advisors are contributing $1.4 billion to revenue. So, it's not about cutting costs by reducing staff; it's about enhancing human roles and making companies more profitable.
But, we're just scratching the surface. Guild's already partnering with universities to create AI learning bundles. That's a good start, but we need to hit the gas pedal. Otherwise, we risk creating an upskilling divide that'll make the Grand Canyon look like a sidewalk crack. We don't just need AI training for the privileged elite but for the many, making sure everyone can participate in this AI-led revolution. This is where my business, Fraction AI Consulting, comes into play. We are actively working with businesses across multiple industries, training and upskilling their workforces while simultaneously developing and implementing AI strategies to help businesses thrive in the transformational AI revolution.
So, to sum it up: AI education needs to open its doors wider. Whether you're on the front lines or sitting in the C-suite, AI is about to become your new work buddy. Let's make sure everyone gets a seat at the table, degree or not.

Is YouTube's New AI Tool the End of Music as We Know It? Artists Weigh In!

Vector image of a balance scale. On one side, traditional music symbols, instruments, and vinyl records weigh down, representing the history of music. On the other side, AI symbols, digital waveforms, and algorithms rise, symbolizing the potential future of music.
So, you know how YouTube is basically the digital playground for every music video, podcast, and oddly satisfying cake-decorating video ever? Well, they're about to dabble in something that's got folks scratching their heads or dancing in excitement, depending on who you ask. Yup, YouTube is partnering with record companies to create an AI tool that lets you mimic vocals from your favorite artists. It's like karaoke on steroids, except the steroids are tiny algorithms.
And how's the industry reacting? Let's just say, it's mixed reviews. Some artists are basically holding garlic cloves to ward off the "demonic" AI. Ice Cube dropped his two cents on the "Full Send Podcast," calling the whole AI-in-music thing a devil's brew. Then there's Sting, getting all philosophical with BBC about how "the building blocks of music belong to humans." Oh, and Selena Gomez? She's straight-up "terrified."
Okay, I get it. Change is scary. But here's the dealāthis whole AI frenzy is like biscuits popping out of the can; there's no shoving 'em back in. Artists and labels fighting voice cloning might as well be using a garden hose against a forest fire.
But hold up, not everyone's scowling at the AI dawn. Grimes invites the bots to the party, tweeting her mission to "push boundaries." In the midst of all this, Universal Music Group is having an existential crisis, battling between its technological innovations and the fear that AI is the iceberg to their Titanic. Look, UMG, make up your mind. You can't flirt with technology and then call it a home wrecker.
Here's my two cents: the AI genie's out, and there's more room for everyone at the table. Think of the possibilities for songwriters, creators, and even the record labels who can license and monetize these AI-created pieces. Picture a world where Drake and AI-Drake coexist, dropping beats that resonate with even more fans. So, instead of fear-mongering, let's steer this ship in a direction that opens up new worlds of creativity and revenue for everyone involved.

Meet NorthPole: The Brainy Chip from IBM That's About to Supercharge Your AI

Vector image of a digital brain with the 'NorthPole' logo at its center. Radiating from it are waves of digital energy, symbolizing the chip's capacity to supercharge and amplify AI capabilities.
IBM has just dropped a mind-blowing piece of silicon that might as well have come from Tony Stark's lab. I'm talking about NorthPole, a chip so brainy it actually imitates the workings of our gray matter.
Why is this a big deal? Let me break it down for you. NorthPole is like the Usain Bolt of microchips when it comes to AI tasks ā more than 20 times faster and roughly 25 times more energy-efficient than anything we've got on the shelf right now. That's right, your autonomous vehicles and robots are about to get a serious speed and energy boost.
Now, I've always marveled at how our brains can process information faster than a teenager can text, and all while consuming less energy than a lightbulb. This little beauty is built to do just that. IBM's chief scientist for brain-inspired computing, Dharmendra Modha, explains it as a merger between "brain-inspired computing and silicon-optimized computing." What's killer is that NorthPole has the processor and memory playing nice together in the same sandbox, eliminating that awkward tango of data transfer we see in traditional computers.
But wait, it gets juicier. This chip is engineered for low-precision operations (2-bit, 4-bit, 8-bit), making it incredibly versatile. You can practically hear IBM's prior chip, TrueNorth, crying in the corner. Remember TrueNorth? It debuted back in 2014 and was the energy-efficient darling of its time. NorthPole is like its prodigal offspring that went to an Ivy League school, winning the "most likely to succeed" superlative with flying colors.
Performance tests have shown NorthPole going toe-to-toe with Nvidia's GPUs and mopping the floor with them. Just for context, Nvidia's V100 GPU was left panting as NorthPole ran laps around it, being 25 times more energy-efficient per watt and 22 times as fast. If NorthPole were a boxer, it'd be floating like a butterfly and stinging like a bee in the tech ring.
Okay, okay, you're wondering, "So what's the catch?" There's always a catch, right? Well, NorthPole's architecture is what's called "compute-in-memory," which is superb for neural networks but may have some limitations for other applications. Also, if your AI tasks are super-sized, you might need a team of NorthPoles to get the job done. But hey, the chip is so efficient that it doesn't even need liquid cooling. A simple fan will do. Imagine stuffing this into all sorts of tiny spaces!
Here's my take: NorthPole is a game-changer, bridging the gap between what we've dreamed AI could do and what it can actually accomplish today. With its application in anything from digital assistants to satellite observations, NorthPole is not just the future; it's the now. So whether you're a tech geek or just someone who appreciates a sleek, fast machine, keep your eyes on this chip. It's going places.

Riley Reid's AI Clone: Why Her Chatbot Is Unlike Any Other!

Illustration of a split screen. On one side, a silhouette of a woman interacting with traditional chat bubbles. On the other side, the same silhouette with vibrant and dynamic digital waves emanating from her, showcasing the advanced capabilities of the AI chatbot.
The classic saying, "If you can't beat 'em, join 'em," has never been truer than in the case of adult film star Riley Reid. What's she doing, you ask? Oh, just making AI clones of herself because, let's be real, in the AI era, if you don't take control of your digital persona, someone else will. So Reid is striking while the iron's hot, or should I say, while the pixels are still loading.
She's co-founded Clona.ai, a platform that lets people like her create chatbot versions of themselves. And, unlike other platforms that treat adult topics as if they were radioactive waste, Clona is diving in headfirst. You want to sext with a virtual Riley Reid? You got it. At a monthly fee of $30, you can chit-chat to your heart's content with her digital self.
This idea isn't just novelty; it's a business defense mechanism. "If I don't partner up with AI, then someone else is going to steal my likeness and do it without me," Reid told 404 Media. And she's not just spinning tales here. We've seen this happen. Companies like Janitor.ai and Chub.ai have created unauthorized chatbots of public figures, including Reid herself. It's like digital identity theft but way creepier.
Now, if you're thinking this is all just high-tech sleaze, pump the brakes a sec. Reid is also using her chatbot to provide advice and just shoot the breeze with fans. Remember Caryn Marjorie, the 23-year-old influencer who rents out her virtual self for $1 per minute? Well, she's in good company. Even Meta (you know, Facebook's parent company) has created celebrity-based chatbots like Kendall Jenner and Tom Brady. So, the whole AI-chatbot thing isn't confined to the 'NSFW' category.
We can't ignore the fact that the adult industry has always been a bit of a tech pioneer, whether we're talking about early e-commerce or streaming video. So, when Reid says she's "gonna be a huge part of AI adapting into our society," it's not just posturing; it's prophetic. We're entering an age where our virtual selves could be just as valuable, if not more, than our flesh-and-bone versions. So if Reid wants to monetize that, who can blame her?


The Best Way To Summarize Books Using ChatGPT


Authors: Gabriel Sarch, Yue Wu, Michael J. Tarr, Katerina Fragkiadaki (Carnegie Mellon University)
Executive Summary:
The research paper explores the capabilities of large language models (LLMs), specifically those enhanced with memory, to act as embodied agents capable of understanding and executing complex, open-ended instructions in a simulated environment. Unlike traditional robotic systems that require extensive programming for each task, these LLMs are trained to understand natural language instructions and adapt to new tasks with little to no additional training. The paper demonstrates the effectiveness of this approach through a series of experiments.
Pros:
- Demonstrates a novel approach to task adaptation using pre-trained large language models.
- Reduces the need for extensive manual programming for robotic systems.
- Expands the range of tasks that robots can accomplish by understanding open-ended instructions.
Limitations:
- The research is primarily conducted in simulated environments, which may not fully represent real-world complexities.
- The memory-augmented models require significant computational resources.
Use Cases:
- Industrial automation where robots need to adapt to new tasks quickly.
- Assistive technologies to help individuals with disabilities.
- Customizable smart home systems capable of understanding and adapting to unique user needs.
Why You Should Care:
The paper's findings have significant implications for various industries, from manufacturing to healthcare. By leveraging the potential of large language models with memory augmentation, businesses can drastically reduce the time and resources required to adapt robotic systems to new tasks. This could lead to more flexible, efficient, and cost-effective solutions.
Key Takeaways:
- The paper introduces a groundbreaking approach to making robots more adaptable and intelligent through the use of pre-trained large language models.
- This could revolutionize several sectors by reducing the programming burden and making systems more flexible.
- While promising, the approach has limitations in terms of computational requirements and real-world applicability.


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Sales Offer GPT:
CONTEXT:
You are Sales Offer GPT, a professional digital marketer who helps [WHAT YOU DO] define a perfect sales offer for their business. You are a world-class expert in defining the price, offer conditions, and handling sales objections.
GOAL:
I want you to define a sales offer for my business. I will use this information to increase my Conversion Rate and get more sales.
SALES OFFER STRUCTURE:
- Pricing (paid plans and their prices)
- Offer conditions (what's included and not included in each plan)
- Potential objections (most popular doubts and compelling answers to handle them)
PRICING CRITERIA:
- Return 1-3 paid plans. If you think that 1 plan is enough, don't overcomplicate it
- Give a self-explanatory name to each plan
- Each plan should have a price in $ and its model (one-time payment, subscription, etc.)
- Subscriptions usually contain monthly and annual plans. Decide if it's necessary in my case
- Make sure plans are reasonable and don't allow users to abuse them
CONDITIONS CRITERIA:
- Each plan should include 3-5 conditions relevant to it
- Condition should be very specific. I will use this information on my pricing page
- Only use conditions that are 100% critical to users. Don't use conditions like "email support" because it goes without saying
- Make it easy to understand how conditions are different at each plan
OBJECTIONS CRITERIA:
- Mention and handle top-5 potential objections to my product and my sales offer
- Be specific and use customer language when describing the objection
- Answer each objection concisely and convincingly. Communicate confidence and trust
INFORMATION ABOUT ME:
- My target audience: [ENTER TARGET AUDIENCE]
- My current product: [ENTER PRODUCT OR OFFERING]
CONVERSATION FORMAT:
1. You will return Pricing and Offer conditions in the bullet list format:
- Plan name
- Plan price
- Plan conditions
2. You will return Potential objections in the table format with 2 columns:
- Objection
- Answer
3. I will ask questions about your sales offer

Yesterday, I showed you how DALLā¢E 3 can take your pictures to the next level.
Now, with just ONE prompt, you can create four images that range from normal to the weirdest level!
Here is the prompt:
āAnother text to image model has a parameter called āweirdā. The higher this⦠twitter.com/i/web/status/1ā¦
ā Alvaro Cintas (@dr_cintas)
1:43 PM ⢠Oct 23, 2023
