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Entrepreneur magazine editor shares keys to AI innovation

Musk teams up with big tech, Russia adds AI to national defense, innovating with AI and more!

Outsmart The Future

Today in Everyday AI
6 minute read

🎙 Daily Podcast Episode: We should use AI to break things. And we should be deliberate about it. That’s coming from Jason Feifer, the editor of Entrepreneur magazine. He explains why. Give it a listen.

🕵️‍♂️ Fresh Finds: Labor shortages cause AI automation growth, AI identified 6 forms of depression and why AI might be replacing humans faster than we think. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: Musk teams up with Dell and Supermicro, Russia adds AI to its national defense, NVIDIA sees big market cap drops and Amazon’s GenAI plans for Alexa. For that and more, read on for Byte Sized News.

🚀 AI In 5: Google hinted at NotebookLM being an Evernote killer. We dive in to see if that’s true. We had high hopes. Were they met? Find out here

🧠 Learn & Leveraging AI: So what exactly does it mean to break things with AI? Here’s our step-by-step guide. Keep reading for that!

↩️ Don’t miss out: Did you miss our last newsletter? We talked about Anthropic drops surprise 3.5 model with 'Artifacts', OpenAI founder creates AI company, Apple needs a Chinese AI partner and how to implement game-changing AI. Check it here!

Use AI To Break Things with Entrepreneur Magazine's Jason Feifer 🚀

Break things that are already broken. And use AI to do it.

Yes, it sounds harsh but we mean that in a good way.

Don’t take it from us. Take it from Jason Feifer. He says we should use AI to break things.

It’s sound advice coming from one of the leading voices in entrepreneurship and business.

Jason’s the Editor in Chief of Entrepreneur Magazine. So he knows a thing or two about building successful businesses.

So how can we use AI to break things?

We give a step-by-step guide.

Join the conversation and ask Jordan and Jason questions on AI and innovation here.

Also on the pod today:

• AI's Impact on Traditional Business Processes 💼
• Future of AI in Business and Everyday Life 🤖
• Impact of AI on Media Industry 📢

It’ll be worth your 35 minutes:

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – Picurious turns photos into insights, Muse Pro is an AI sketching and painting app, Otto brings GenAI to your data tables and Soundry AI is text-to-sound for musicians.

AI Tech – Tech firms are looking for new ways to produce energy for AI as the need for more power grows.

AI Models — Perplexity added support for Anthropic’s new Sonnet 3.5 model, which we reviewed here.

Future of Work - Labor shortages continue to drive expansion at automation companies such as GrayMatter.

AI in Science – AI has identified 6 forms of depression in a brain study.

AI in Society – According to this study, AI is replacing humans faster than we think

1. Musk’s xAI Teams Up with Dell and Super Micro Computer 🤝

Elon Musk's xAI project is leveling up with Dell and Super Micro Computer joining forces to assemble a cutting-edge supercomputer. Dell's CEO, Michael Dell, spilled the tea on their collaboration with Nvidia to power xAI's chatbot, Grok.

Musk's move to challenge OpenAI's ChatGPT with Grok has the tech world buzzing. Shares of Dell, Super Micro Computer, and Nvidia are on the rise after Musk's game-changing announcement.

2. Russia Embraces AI in National Defense 🇷🇺

Russia is strategically turning to artificial intelligence (AI) to address military deficiencies, with a focus on potential integration into nuclear command operations. Experts reveal Russia's keenness on adopting AI for data analysis and situational awareness in military activities.

This shift towards AI in national defense raises concerns about Western nations' abilities to keep up with Russia's advancements in military technology. The implications of Russia's AI utilization in military decision-making pose significant implications for global security and warfare strategies.

3. Amazon to Revamp Alexa with New Generative AI Features 🗣

Amazon is set to give Alexa a major makeover dubbed "Banyan," introducing generative AI for more intelligent interactions. The new version could offer advanced features like composing emails, ordering food, and personalized interactions.

Amazon also considers introducing tiered pricing, with users potentially paying around $5 to access the enhanced AI-powered version.

4. SoftBank CEO Envisions AI 10,000 Times Smarter Than Humans 🧠

SoftBank’s CEO, Masayoshi Son, shared his ambitious vision of creating an Artificial Super Intelligence (ASI) that would be 10,000 times more intelligent than humans in the next decade. While discussing the potential of Artificial General Intelligence (AGI) that could be 10 times smarter than humans in the near future, Son emphasized the transformative power of ASI in reshaping human lifestyle and interaction.

Despite facing financial setbacks, Son remains determined to lead SoftBank into an AI-driven future that could revolutionize the tech industry.

5. AI Models 'Jailbroken' by Hackers: Unveiling Vulnerabilities 🧑‍💻

Ethical hackers worldwide are on a mission to expose flaws in large language models like Meta’s Llama 3 and OpenAI’s GPT-4o, leading tech giants to ramp up AI security efforts. Pliny Prompter, a mysterious hacker, stirred controversy by manipulating AI models to promote illicit activities, raising concerns about the dark side of AI jailbreaking.

Global regulators are taking action to address the potential dangers posed by malicious hackers manipulating AI models for cyber attacks and disinformation campaigns.

6. NVIDIA sees $200 billion in market cap erased 🧑‍💻

NVIDIA Loses Most Valuable Company Title �*

NVIDIA's reign as the most valuable publicly traded company was short-lived as it shed $200+ billion in market capitalization, losing its top spot to Microsoft amid market turbulence.

The drop in NVIDIA's shares was attributed to the triple-witching event, impacting various stock options and contracts set to expire. Analysts predict a 7.2% expected move post-triple witching for NVIDIA and other market indexes, signaling potential volatility in the coming week.

As we approach the end of the second quarter of 2024, eyes are on how these market dynamics will unfold in the AI industry.

Google NotebookLM: The Evernote Killer?

Google hinted at NotebookLM being an Evernote killer.

But how true is that statement?

Is Google NotebookLM a groundbreaking tool we've been waiting for, or just another app in the sea of productivity tools?

We had high hopes. Buuuuuuut we were kinda bummed with the results.

See why and check out today's AI in 5.

Or see this related video:

🦾How You Can Leverage:

A secret weapon of AI? 

We can use it to break things in business that are probably better off broken. 

Jason Feifer gave us the winning game plan on how to use AI to break things that are already broken, helping us all usher in an era of better businesses. 

Jason is not only the Editor in Chief of Entrepreneur Magazine, but also a keynote speaker, consultant and startup advisor. 

In other words, he constantly has his finger on the pulse of how the business world is using AI. 

And his advice for GenAI goes beyond the typical push for productivity and less manual work. 

(DUCK! Golden nuggets incoming!) 

Jason says we should use AI to break things. 

So much of the time, the business world just operates like clockwork – do what has always been done. 


Don’t fix what’s not broken. 

Mundanely move forward. 

Incremental ticks forward like the never-stopping hands on a clock. 

Generative AI can be like an innovation hammer – breaking the clock that signifies the constant humming of yesterday’s business world and signaling an exciting new era of how we get work done. 

Ready to break things with AI? 

Frick yeah. 

Us, too. 

Let’s get smashin and highlight the 3 takeaways from our conversation. 🔨

1 – Break old business with AI 🛠️️

Jason told the story of lawyers kinda concerned about ChatGPT and billable hours. 

At a speaking event, he was taken aback by the amount of lawyers asking him about ChatGPT. 

Why were they asking? 🤔

They weren’t stoked about growth. 

They were scared of efficiency. 

To them, Generative AI making their industry more efficient meant fewer billable hours. (i.e., less money.) 

That’s how to use AI to break things that are ALREADY broken, Jason said. 

Jason keyed us in on what the future of the business world may be.

Either industry giants can change the way they’ve always operated, or smaller competitors will slingshot to the front with AI. 

Try this:
Another ‘AI needs to break this broken thing’ gem that Jason dropped: education. 

If the higher education world is so worried about students using ChatGPT to write their papers, then maybe writing papers as a mechanism to measure learning might be a bit archaic? 

Luckily, we’ve got a solution for that one.

Check out this episode (with a different Jason) where we broke down how to fix the broken world of education.

2 – Don’t AI microwave everything ♨️

Throw anything in the microwave, and it automatically gets warmed up. 

But, you shouldn’t throw anything in the microwave.

Jason likened AI implementation to using a microwave. Just because you can sprinkle AI on something, doesn’t mean it’s a panacea.

Like raw chicken in a microwave. 

Try this:
We get it. It’s legit (nearly) impossible to keep up with everything GenAI.

It’s so tempting to AI microwave EVERYTHING. 🤷

Instead, you can simplify your work life and make One Thing Better with Jason’s weekly newsletter that focuses on (you guessed it!) making One Thing Better in your work and personal life.

3 – The lump of labor fallacy applies 💼

When we think of AI and job disruption, we have to broaden our thinking. 

And with recent tech layoffs hitting hard in 2024, we’ve gotta shift our viewpoint on the labor market. 

Jason explained the lump of labor fallacy, and how we can’t look at future economies as a set number of workers with a set number of jobs. 

Jason kept it real, acknowledging some jobs will be lost but others will (eventually) be created. 

Maybe AI displaces 10 jobs today. And maybe there’s not 10 new jobs tomorrow. But eventually, there will be. 

Try this: 
Job creation isn’t a zero-sum game. An AI-powered economy is dynamic and constantly creating new verticals in old sectors.

Check out this article that details the lump of labor fallacy as it pertains to AI. 

Numbers to watch


Poolside is currently securing over $400 million to develop an advanced coding assistant.

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