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CEOs Welcome AI Overlords, DeepMind Motivates AIs, Americans Cautious
Upskill Now as AI Reshapes Industries


Whoa nelly, we've got a wild ride today! Turns out, nearly half of CEOs are chill with being replaced by robots if it gets them out of tedious meetings. Can't say I blame them! But don't go celebrating yet, because regular employees should also worry about being automated out of a job soon. Yet amidst the panic, there's a silver lining: AI jobs are paying bank right now. We're talking 6 figures for skills that aren't rocket science to learn.
Even AI needs a pep talk and self-help quotes to improve, as DeepMind figured out. Slap some mindfulness on those algorithms, andbam! Math scores are suddenly way higher. But most Americans are still sus about AI, with over half more worried about risks than rewards. No shocker there after all the data mining and fake news experiences.
So listen up: AI is here to stay, so get learning! Just 15 minutes a day with my trusty One Prompt to Rule Them All can get you ahead of the competition. For all you future CEOs, check out the AI tools and research paper I've got lined up to make your company more efficient and cutting edge!
CEOs Are Saying AI Might Take Their Jobs
How AI Jobs Are Offering 6-Figure Salaries
DeepMind Just Taught AI How to Boost Its Math Skills
Why Most Americans Are Giving AI the Side-Eye
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
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CEOs Are Saying AI Might Take Their Jobs, and You Won't Believe How Many Think It's a Good Idea!

Could AI do our jobs better than us? Well, in a plot twist, nearly half of CEOs say, "You know what? Maybe they can ā and it wouldn't be such a bad thing." Yep, according to a poll by edX, 49% of the boss men and women believe AI could potentially replace them in their roles, and 47% think that's not a shabby idea at all.
Now, before you go praising these CEOs for their humility, let's remember they probably just want a break from endless PowerPoint presentations and budget meetings. Even edX's founder, Anant Agarwal, admitted that 80% of his time as CEO went to "mundane" stuff like reports. But let's give credit where it's due ā AI could absolutely handle the drudgery, leaving CEOs to do more CEO-ish things like envisioning the future or schmoozing at high-stakes golf games.
Back in May, I told you about that one company which actually hired an AI as their CEO. While I'm not saying all CEOs are replaceable (especially those who own the business), maybe it's time for the C-suite to get a little downsizing in pay. I mean, do we really need CEOs earning 400 times more than the average Joe or Jane at the company? This is why I think learning AI skills is your best career move. Just 15 minutes a day on ChatGPT, and you'll be more equipped for the future than most people.
But hey, it's not all doom and gloom for human bosses. Agarwal did note that the softer skills like "inspiring people" and "being able to listen" aren't on AI's resume yet. So, human CEOs aren't going extinct; they're just evolving. And we better evolve with them. Otherwise, you're gonna wake up one day to an AI boss who'll clock you for being 0.03 seconds late to work.
On the other side of the cubicle wall, regular employees should also be worried. According to the same survey, C-suite execs think that about 49% of current workforce skills will be obsolete by 2025. And that brings me to my main point: We all need to start skilling up. Companies are already desperate to hire people with AI know-how, and itās going to get worse. Gen Z's catching on fast, with 62% already upskilling in AI. If you're not learning, you're falling behind. Period.
Look, I don't think we should be worried about AI taking our jobs. We should be worried about Greg from accounting who just finished his AI course and is eyeing your desk. So, if you're a company, start training your team in AI. If you're an employee, grab every AI learning opportunity you can find. Otherwise, you might just get 'automated' out of your job. And nobody wants to get replaced by a robot unless it's R2-D2, right?

From Tax Pros to Tech Newbies: How AI Jobs Are Offering 6-Figure Salaries and Changing the Game for Everyone!

an excited office employee who just received a huge pay raise, cash falling from the sky, office scene --ar 16:9 --v 5.2
Listen up, people, because I've been shouting "upskill, upskill, upskill" like a broken record and now's the time to heed the call. AI jobs are no longer the stuff of Silicon Valley daydreams; they're mainstream and they're paying. And I'm not just talking tech nerds; accountants, listen up. A gig as a tax manager with AI skills is calling your name. Still not listening? How does a six-figure salary sound to you?
New data from Adzuna, the job search platform, says the U.S. is the AI job market's Promised Land. Out of the 7.6 million open jobs this June, a nifty 169,045 specifically wanted some AI juice. Oh, and 3,575 were specifically looking for generative AI skills. If those terms sound like rocket science to you, don't sweat it. You don't need to be Elon Musk to make it in AI. Some of the hot roles include familiar job titles like software engineer, product designer, and data scientist. But here's the kicker, even tax managers are in high demand. Yes, you read that right. Accountants are getting a tech makeover and are needed to help make businesses more efficient.
Now, you might be asking, "What's the paycheck like?" Hold onto your calculators: Adzuna says the average AI-using tax manager is raking in a cool $100,445 a year. But let's zoom out a bit: the average AI job in the U.S. is pulling a whopping $146,244. Not too shabby for learning how to work with robots, eh?
You're probably wondering, what's causing this AI job boom? Well, guess what, ChatGPT made a big splash in late 2022, and since then, companies are scrambling to hire anyone who knows a thing or two about implementing AI into their operations. We're talking about everything from building chatbots to making data-driven business decisions. Even traditional bigwigs like EY, Wells Fargo, and Kaiser Permanente are setting AI as a hiring priority. When nearly 70% of LinkedIn's Top Companies say AI is already making them faster and smarter, you know it's not just a trend.
"But I don't know anything about AI," you say? Chill. There's a host of online courses from places like Coursera to get you up to speed. My advice? Spend 15-30 minutes a day playing around with AI platforms like ChatGPT. Get your hands dirty. Ask it questions, be curious. If youāve got my One Prompt to Rule Them All, you're on a rocket ship to becoming the office AI whiz kid.
So letās wrap this up: AI isn't going anywhere, folks. Even in a market thatās seen its fair share of tech layoffs, AI is a port in the storm. And the U.S. is ahead of the curve. While we're boasting 173,000 open AI roles, India's got 25,900 and the UK's at 16,825. This isn't just a race; it's a full-blown sprint. So whether you're a code monkey or an Excel jockey, it's time to get on the AI bandwagon. Who knows, that six-figure salary might just be one algorithm away.

DeepMind Just Taught AI How to Boost Its Math Skills with Self-Help Quotes, and the Results Will Blow Your Mind!

robot doing complicated math on a chalkboard --ar 16:9 --v 5.2
Imagine you're sweating through a math problem and someone says, "Take a deep breath and work on this step by step." Now, you might not ace that equation, but you'd at least feel a tiny bit calmer, right? Turns out, AIs benefit from this kind of morale-boosting too. The DeepMind folks used something called Optimization by PROmpting (OPRO) to encourage language models like ChatGPT and Google's PaLM 2 to up their math game. Instead of using typical math-based algorithms to improve, they used the good ol' human words to get the job done.
Now, let's talk shop. Traditional machine learning methods for improving AI models are like having a strict gym coach who uses the angle of your squat to correct your form, with mathematical precision. DeepMind decided to ditch the strict coach for a more chill mentor who's like, "Just bend your knees and feel the flow, man." They used "meta-prompts" in plain English to guide the AIs towards better performance. And guess what? It worked like a charm!
The real kicker? They found that the phrase "Take a deep breath and work on this problem step by step" had the AI solving grade-school math problems with an 80.2% accuracy rate. Compare that to the 34% achieved without any prompts. It's like going from a D- to a B just by listening to a mindfulness app for a minute.
Now, let's be clear: The AI isn't actually breathing (shocker, I know). It's tapping into a wealth of language data it's been trained on, which includes phrases like "take a deep breath." It's like telling the AI, "Remember all those soothing Reddit threads you read? Channel that zen."
The big takeaway? This OPRO thing is more than a neat party trick. It's a game-changer that could make AIs a lot more useful in the future. Think more accurate weather predictions or even better medical diagnoses. Basically, DeepMind's work here is like someone rummaging through the junk drawer of phrases to find the one screwdriver that finally fits. And trust me, finding the right screwdriver can make all the differenceājust ask any IKEA veteran.

Why Most Americans Are Giving AI the Side-Eye

photorealistic headshot of a disgruntled woman giving side eye --ar 16:9 --v 5.2
A shiny new Mitre-Harris Poll just dropped, and the verdict is in: the average Joe and Jane aren't totally sold on the idea that AI is the superhero we've been waiting for. The stats speak for themselvesā54% of the 2,063 U.S. adults surveyed say they're more "Eek!" than "Wow!" about the whole thing. They're giving side-eye to AI, worried about its risks more than jazzed about its upside.
It's not like this fear is baseless. I mean, remember the time you casually Googled "new sneakers" and then got swamped with shoe ads for the next month? Yeah, it's like AI knows you better than your grandmaāand that's precisely the issue. People are mostly freaked out about cyberattacks (80%), identity theft schemes (78%), and to a lesser extent, AI's knack for causing harm to marginalized communities (66%) or replacing their gigs (52%). Roughly three-quarters are also worried about being data-mined like a virtual goldmine.
The tech industry is reading the roomāor poll, in this caseāand is like, "Fine, let's talk regulations and security measures." Because, let's be real, nobody wants Skynet to become a documentary. Douglas Robbins, a bigwig at Mitre, said we've already seen how chatbots can go rogueāspreading fake news like grandma spreads mayo on a sandwich. The takeaway? Better regulations and investments in AI security are must-haves, not luxuries.
If you're thinking, "Bah, grown-ups just don't get technology," you're kinda right. Younger folks like Gen Z and millennials are more in the "AI is cool, what's the fuss?" camp. Around 57% of Gen Z and 62% of millennials are more excited than wary. And, no surprise here, the guys are generally more chill about AI (51%) compared to the ladies (40%).
So, what's my hot take? Well, AI ain't going awayāfar from it. While it's okay to be cautious (please, be cautious), let's not throw the baby out with the bathwater. We should be pushing for sensible regulations and safety measures because AI has the potential to be groundbreaking in medicine, our work and daily lives, and, yes, even creating sassy newsletters like this one. So, keep an eye out, but maybe don't barricade the basement just yet.


Create LLM Apps In Seconds With No Code


Title: Cognitive Architectures for Language Agents
Authors: Theodore Sumers, Shunyu Yao, Karthik Narasimhan, Thomas L. Griffiths
Executive Summary:
This paper proposes a systematic framework, CoALA, for building advanced language agents that leverage large language models (LLMs). The authors combine elements from symbolic AI and current advancements to create a blueprint that addresses grounding, reasoning, and decision-making. They offer a thorough review of existing literature, emphasizing both the capabilities and limitations of LLMs in the context of language agents.
However, the paper admits its framework is in its infancy and needs more empirical validation. While focused mainly on technical dimensions, it largely sidesteps ethical and social concerns associated with the deployment of such agents. Despite these shortcomings, CoALA is touted as a valuable roadmap for researchers and practitioners in fields like education, healthcare, and customer service, aiming to develop language agents with more nuanced reasoning and decision-making abilities.
Pros:
Comprehensive review of the literature on LLMs and language agents
Clear and concise overview of the current state of the field
Well-organized framework for developing cognitive language agents
Potential applications in a variety of domains
Limitations:
Proposed framework is still in its early stages and requires further development and testing
Does not address the ethical or social implications of cognitive language agents
Use Cases:
Developing language agents that can reason, learn, and make decisions based on real-world data
Improving customer service through the use of cognitive language agents
Enhancing education and healthcare through the development of language agents that can provide personalized support and guidance
Advancing research in natural language processing and artificial intelligence
Overall, the paper "Cognitive Architectures for Language Agents" provides a valuable contribution to the field of natural language processing and artificial intelligence. The proposed CoALA framework offers a systematic approach to developing cognitive language agents that can reason, learn, and make decisions based on real-world data. While the paper has some limitations, such as the need for further development and testing, it has important use cases for researchers and practitioners interested in developing language agents that can improve customer service, education, healthcare, and other domains.

Can ChatGPT Beat The Stock Market?

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How to create your first educational resource with ChatGPT in 5 minutes
From our friends at The AI Solopreneur
I need you to create an outline for a 5-part educational course called "[NAME]"
For context, [INSERT CONTEXT]
Your output should be formatted like this:
# NAME OF THE EMAIL COURSE
## PART 1 OF THE COURSE
### Idea 1
- Sub point 1
- Sub point 2
- Sub point 3
### Idea 2
- Sub point 1
- Sub point 2
- Sub point 3
### Idea 3
- Sub point 1
- Sub point 2
- Sub point 3
## PART 2 OF THE COURSE
### Idea 1
- Sub point 1
- Sub point 2
- Sub point 3
### Idea 2
- Sub point 1
- Sub point 2
- Sub point 3
### Idea 3
- Sub point 1
- Sub point 2
- Sub point 3
## PART 3 OF THE COURSE
### Idea 1
- Sub point 1
- Sub point 2
- Sub point 3
### Idea 2
- Sub point 1
- Sub point 2
- Sub point 3
### Idea 3
- Sub point 1
- Sub point 2
- Sub point 3
## PART 4 OF THE COURSE
### Idea 1
- Sub point 1
- Sub point 2
- Sub point 3
### Idea 2
- Sub point 1
- Sub point 2
- Sub point 3
### Idea 3
- Sub point 1
- Sub point 2
- Sub point 3
## PART 5 OF THE COURSE
### Idea 1
- Sub point 1
- Sub point 2
- Sub point 3
### Idea 2
- Sub point 1
- Sub point 2
- Sub point 3
### Idea 3
- Sub point 1
- Sub point 2
- Sub point 3
āā
Every PART should be a headline for the respective part
Every Idea is one Heading inside that PART
Every Sub point is supportive of the above idea

Use AI to make a logo in a few minutes.
This is how you can create simple vector logos in just a few simple steps.
This is for a new Barbershop a client of mine is starting.
Quick tutorial below ā¬ļø š§µ
ā Linus (āį“ā) (@LinusEkenstam)
10:36 AM ⢠Sep 20, 2023
