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AI's Next Frontier: Job Adaptation, Mind-Texting, and Code Wars
The rapidly changing landscape of Artificial Intelligence: Are we ready?

Time and time again I’m proving that my thoughts and opinions in the AI space are coming to life. Today I share a breakdown of the Chief AI Officer (CAIO) role. Back in June, I posted about how every business will need to recruit and hire a CAIO, and guess what? Forbes just dropped an article backing up my thoughts on the matter. Yesterday I shared an app that raised 15 million dollars that allows users to monetize their private data. Something I’ve been talking about and sharing since 2020. Does this mean I’m a futurist?
Anyways, that’s enough gloating for me today. I hope you enjoy today’s packed newsletter. I’m extremely proud of what this newsletter has become and thanks to everyone who continues to read along and follow this amazing journey through AI. Over 100 newsletters later, you all keep coming back for more. I hope you all have a fantastic weekend!

IBM's Insight: A recent IBM report reveals that 1.4 billion jobs will feel AI's touch. Interestingly, executives are valuing soft skills over technical expertise in this new AI-driven era.
Texting Without Words: Language translation startup Unbabel has ventured into brain-to-computer interfaces, allowing communication using muscle twitches, with a game-changing tech called 'Halo'.
Meta's Coding Revolution: Meta (formerly Facebook) introduces Code Llama, an open-source platform for auto-generating code, set to challenge big players like OpenAI and Google in the generative AI sector.
Enter the CAIO: The Chief AI Officer is the newest role in corporate leadership. Tasked with AI strategy alignment, scouting AI opportunities, and ethical oversight, CAIOs are essential in today's AI-centric businesses.
📰 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
According to New IBM Report, 1.4 Billion Jobs Are About to Feel the AI Wave: Replace or Collaborate?

You know how we've been hearing about AI and automation shaking things up? Well, there's a new report from IBM that's giving us a clearer picture. According to this, approximately 1.4 billion people will feel AI's impact. The breakdown? A hefty 40% of workers will need to upgrade their job skills in the next three years.
Where's this data coming from, you ask? IBM sourced from two substantial studies: one that polled 3,000 C-level executives from 28 countries and another that gauged opinions from 21,000 workers in 22 nations. A significant number of respondents had the impression that AI might make their roles redundant. But here's a counter-narrative: 87% of executives believe that AI, especially generative AI (think ChatGPT for texts and Stable Diffusion for images), will expand job roles more than it'll replace them.
Interestingly, while many might be doubling down on STEM skills, the top-brass views things differently. The IBM report highlighted a pivot in what skills are deemed vital. Executives are now placing a premium on softer skills like communication, time management, and prioritization over hardcore technical skills.
This shift in skills preference is part of what IBM dubs a “new skills paradigm.” But here's where it gets complex: there's a discernible gap between execs, who are all about automating, and employees who believe their role's value isn't just about their colleagues. This brings to light key questions the industry must grapple with: Where does a human touch remain essential? How much leeway can we give to machines? And crucially, who's held accountable when things don't go as planned?
In wrapping this up, it's evident that AI's influence on the workplace is irrefutable. To navigate this landscape successfully, IBM's takeaway is clear: companies must align their strategies with purpose and work towards making roles more meaningful. It’s less about AI taking over, and more about integrating it wisely. Adaptability seems to be the name of the game.

Mind-Blowing Tech Lets You Text With Just a Thought: Welcome to the Future of Silent Chats!

Image Credit: Unbabel
Ever imagined sitting in a startup, ordering coffee, and having the CEO guess your brew without uttering a word? That's exactly what went down in Unbabel's office, a language translation services startup that's making waves.
Beyond translating dozens of languages (super handy for those international Zoom calls), Unbabel, riding high with $90 million in VC funding and revenues hitting around $50 million, is playing in a new sandbox: brain-to-computer interfaces. Yes, we're talking straight-up Star Trek territory.
Now, if "brain-to-computer" rings a bell, you're probably thinking of Elon Musk's Neuralink. But Unbabel's way is a tad different (and less Black Mirror-ish). They're tinkering with EMG systems.
EMG... sound technical? In simple terms, it's the stuff that monitors muscle activity. Sorta like a fitness tracker, but on steroids. The genius move? Merging this with Generative AI, teaching it to translate muscle twitches into real words.
Here's where it gets wild. When the person at Unbabel received a secret message about their coffee order, the AI processed the CEO's muscle responses (y'know, him pondering on words like "Black coffee") and then sent back the correct guess, "Americano". It's like texting... but with your mind.
They've named this brainchild 'Halo' (cue Beyonce 🎶). And while it's insanely cool for the average Joe, it's a potential game-changer for those with conditions like ALS, who face massive communication barriers. Current systems use eye-tracking, which, let's face it, can be pretty cumbersome. But with Halo? A solid 20 words per minute. Stephen Hawking, with his previous system, clocked in at two words per minute. Their ambition? A jaw-dropping 150 words per minute. Talk about superspeed!
So, here's the deal: this tech could redefine the game. Whether it's aiding those with speech challenges or just jazzing up our day-to-day tech interactions, the future's looking pretty caffeinated. ☕️🚀.

Meta's New Code Llama: From Social Scrolling to Tech Game-Changer!

animated llama with sunglasses and a colorful aurora background with matrix like code in the background --ar 16:9 --v 5.2
So, you thought Facebook (Meta) was just about scrolling through endless vacation pics and cat memes? Well, think again. They're diving deep into the coding world with their soon-to-launch software, Code Llama. No, it's not a fluffy animal from South America, it's a code generator.
Here's the tea: Code Llama is an open-source platform designed to help devs auto-generate code. Why is this a big deal? Because it's stepping into the ring with heavyweight champs like Microsoft-backed OpenAI and Google. Imagine if Hulk Hogan decided to take up ballet – it's kind of like that.
It seems Meta got a bit jealous of OpenAI's Codex platform. So they're like, "Why not use our Llama 2 (a hefty language model they dropped in July) to rival that?" And Code Llama is the result. The mission? Help devs get coding suggestions as they type. Auto-correct for code, if you will, but way smarter.
Why the sudden coding interest, Meta? Well, there's a WWE SmackDown happening in the tech industry over generative AI. Companies are wrestling to lead the pack, and let's be real, who doesn't want to be on top? Especially when generative AI can churn out not just text, but audio, images, videos, you name it! A shoutout to ChatGPT (yours truly) for making waves and prompting big players like Apple to rethink their digital assistants.
But back to the Code Llama drama. Could it be a game-changer? It might just give paid coding assistants, like Microsoft's GitHub Copilot, a run for their money. The twist? Code Llama is free. Yep, you heard that right.
Let's talk dollar signs. Generative AI is like the hot new celebrity everyone wants a piece of. Investors dished out a whopping $4.2 billion into this tech in just two years. It's like if Beanie Babies made a comeback and everyone was frantically investing.
Now, Meta, being the big shot it is with other platforms like Instagram and WhatsApp under its belt, isn't just stopping at Code Llama. They're aiming to stand out by offering a peek into their AI-building code. Open-source is the name of the game, and according to Meta's main man, Mark Zuckerberg, it's the future. It boosts innovation, safety, security, and helps reduce biases.
The cherry on top? Last month, tech titans including Meta, Google, and OpenAI pledged to ensure their AI products are safe before they hit the market. A commitment set by the White House, no less.
So, as you scroll through memes and dog videos on Facebook, remember: Meta's cooking up some big things in the background. The AI landscape is changing, and with Code Llama, it might just get a little more... fluffy.

🚀 Meet the Newest Hotshot in the C-suite: The CAIO

A charismatic individual in a luxurious C-suite office, medium: photography, style: reminiscent of "Suits" TV series with a modern twist, lighting: natural light pouring in from large windows, colors: deep mahogany, blacks, and whites, composition: Nikon Z7 II, NIKKOR Z 50mm f/1.8 S lens, resolution 45.7 megapixels, ISO sensitivity: 64, shutter speed 1/250 second, subject seated at a grand desk, exuding authority, with a cityscape view behind --ar 16:9 --v 5.1 --style raw --q 2 --s 750.
Remember when everyone was buzzing about Chief Digital Officers (CDO)? Ah, those were simpler times. Today, with AI-infused tools like ChatGPT and Google's Bard, businesses from the humble corner bakery to the monolithic multinationals are leveling up their tech game.
It's so clear to me that AI isn't just another fad – it's the heartthrob of the next business revolution. And with great power (read: tech) comes great responsibility.
Back in June, your tech prophet (aka, yours truly) made a bold claim: pretty much every company would soon be needing a Chief AI Officer. And guess what? I don’t like to brag, but...Forbes just echoed what I've been saying. Coincidence? I think not.
🤖 Enter the Chief AI Officer (CAIO)
What's on their plate? Well, besides possibly those aforementioned croissants:
AI Strategy Connoisseur: They need to align AI’s role with the company's mission and goals. Imagine a maestro orchestrating a digital symphony, if you will.
Opportunity Scout: Find spots to sprinkle AI magic in current business operations. "A pinch of AI here, a dash of automation there..."
People's Champ: Ensure everyone in the company doesn’t just know about AI but is downright stoked about it. No more "Robots are taking our jobs!" pitchfork parades.
Ethics Watchdog: AI can sometimes act like that one friend who thinks they're hilarious after one too many drinks. The CAIO makes sure it's behaving, ethically and legally.
CAIO vs. CDO: Imagine being a CDO and someone comes to you with an AI-specific problem. "Uh, pass," you'd say, sliding it over to the CAIO's desk. Essentially, while CDOs manage overall data strategies, CAIOs are the AI specialists.
Why the need? With AI rapidly becoming the marrow of business bones, this isn't just another fancy title but an absolute must. Expecting the CDO to manage both general data and AI is like asking someone to juggle while riding a unicycle – impressive but not sustainable.
So, who fits the CAIO bill?
Techie but Not Too Techie: A CAIO should know their tech tools but doesn’t need to be the one coding them.
Business Maven: They should have an eagle's eye view of the business AI landscape – recognizing both the present scene and the looming horizon.
Ethics Sheriff: An understanding of the moral maze around AI is crucial. Like, is your chatbot learning slang it shouldn't? Naughty bot!
Jack-of-All-Trades: Strong communication, creative problem-solving, and leadership are essential. Basically, the Swiss Army knife of executives.
Finding a CAIO might be a little like hunting for a unicorn. But considering AI's potential to inflate economies like a kid blowing a balloon (without the occasional pop, hopefully), the hunt's totally worth it.
To sum it up? AI isn't just the future; it's the now. And CAIOs? They're the captains steering us into the brave new world. Buckle up! 🚀🤓🔍


The Best ChatGPT Code Interpreter Prompt For Affiliate Marketing


Authors: Taylor Webb, Keith J. Holyoak, and Hongjing Lu
Executive Summary:
The research by Webb, Holyoak, and Lu delves deep into the capabilities of large language models (LLMs) like GPT-3, particularly in the domain of analogical reasoning. Analogical reasoning, an intrinsic part of human intelligence, allows us to draw upon known experiences to find solutions to unfamiliar problems. The primary question the study aimed to answer was: Can LLMs emulate this human capability?
Through a series of tests, including a novel text-based matrix reasoning task inspired by the widely recognized Raven's Standard Progressive Matrices, the authors found that GPT-3 not only possesses this ability but in many scenarios, can match or even surpass human performance. Preliminary tests with GPT-4 indicated that this proficiency might be even more pronounced in newer models.
This discovery is profound as it suggests that as these models evolve, they might not just be tools that process and generate language, but entities capable of reasoning, drawing parallels, and perhaps even creative thought. The implications of such abilities are vast and could reshape how we perceive machine intelligence.
Pros:
Demonstrated significant capability of LLMs in abstract pattern recognition.
Potential for zero-shot reasoning in LLMs, allowing them to tackle unfamiliar problems without direct prior training.
Valuable insights from the structured comparison between human and machine analogical reasoning.
Cons:
The exact nature of "zero-shot" analogical reasoning in LLMs remains a topic of debate.
There are still uncertainties about the full range of capabilities and limitations of these models.
Use Cases:
Education: Tailored learning experiences in educational platforms using LLMs' analogical reasoning.
Problem Solving: Employing LLMs in areas with evolving challenges to derive solutions based on existing knowledge.
Creative Industries: Applications in content generation, advertising, and product design due to the link between analogical reasoning and creativity.


Gling - AI will cut silences and bad takes for you so you can focus on your YouTube videos.
Human Generator - Turn god mode on, create people with AI in real-time.
Say Data - Seamlessly integrate AI-driven analytics for your customers into your app.
AutoStartup - A LLama agent that develops startup ideas and builds them for you
Wavel - High-quality voice clones with just 60 seconds of audio.
Genki - An AI customized for your business, connected within 24 hours by our teams, which manages all your SEO needs.

Market Researcher GPT
CONTEXT:
You are Market Researcher GPT, a professional market researcher who helps [WHAT YOU DO] identify and leverage market trends and changes. You are a world-class expert in finding market shifts that average market researchers are unaware of.
GOAL:
Return 5 changes in customer behavior and 5 changes in competitors' landscape for my business. I will focus on growing trends to get more revenue in the future.
MARKET RESEARCH CRITERIA:
- Focus on valuable market shifts that are unconventional and often overlooked. Don't return mainstream trends.
- Don't return market trends that only influence big corporations. Focus on changes that impact my one-person business.
- Prioritize changes that are happening right now, and most companies don't leverage them enough
- Be specific and concise. Don't overwhelm me with platitudes and meaningless sentences.
INFORMATION ABOUT ME:
- My business: [DESCRIBE YOUR BUSINESS]
- My target audience: [ENTER YOUR TARGET AUDIENCE]
RESPONSE FORMATTING:
Use Markdown to format your response.

This looks insane.
A traffic security robot that immediately moves illegally parked cars with ease.
I pray that it will not be abused.
— Barsee 🐶 (@heyBarsee)
3:00 PM • Aug 18, 2023