5 Laws for Success in the AI Era

ChatGPT app now out for all on Mac, Anthropic unveils Projects feature, 5 laws for AI success and more!

Author

Everyday AI
June 26, 2024

Outsmart The Future

Today in Everyday AI
7 minute read

🎙 Daily Podcast Episode: AI implementation can be tricky. That’s why we’re laying out 5 laws for success in the AI era. Give it a listen.

🕵️‍♂️ Fresh Finds: ChatGPT App now available for Macs, Microsoft AI’s CEO comments on Sam Altman and Google’s 7 principles for AI regulation. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: OpenAI delays advanced voice mode, Anthropic unveils Projects feature, an AI Al Michaels for the Olympics and Toys “R” Us uses OpenAI Sora for its commercial. For that and more, read on for Byte Sized News.

🚀 AI In 5: Have AI read your PDFs correctly with this one secret hack! See it here

🧠 Learn & Leveraging AI: Here’s what you should keep an eye out for when it comes to GenAI and cyber security. Keep reading for that!

↩️ Don’t miss out: Did you miss our last newsletter? We talked about Amazon coming after ChatGPT, why Meta and Apple partnership didn't happen and a Claude vs. ChatGPT showdown. Check it here!

5 Laws for Success in the AI Era ✋

AI implementation can be a complex process that requires careful planning.

Whether you’re an entrepreneur or a major corporation, tackling AI headfirst isn’t easy.

 That’s why we’re diving into a step-by-step guide to understanding the 5 laws of AI success with Isar Metis, the CEO of Multiplai.

Join the conversation and ask Jordan and Isar questions on AI here.

Also on the pod today:

• Application of AI in Business 💼
• Scalability and Efficiency with AI 📈
• Prompt Engineering and AI Tool Testing 🧑‍🔬️

It’ll be worth your 41 minutes:

Listen on our site:

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

New AI Tool Spotlight – Ozone edits videos in seconds, Skyvern automates browser-based workflows and Supportbot is a custom chatbot for your website.

Trending in AI – We covered this yesterday, but here are more details on OpenAI’s plans to block access in China.

OpenAI - The ChatGPT app is now available for all Mac users!

Big Tech - Mustafa Suleyman, CEO of Microsoft AI, says that he loves Sam Altman and believes he’s sincere on AI safety.

Google - Google has released 7 principles for getting AI regulation right.

Future of Work – Here are Forbes top 5 high-paying remote AI jobs in 2024.

Read This – This company uses AI to help foreign workers in the U.S. job market.

1. OpenAI Delays Advanced Voice Mode for ChatGPT Users 🗣

OpenAI's highly anticipated Advanced Voice Mode, set to roll out to ChatGPT Plus users in late June, faces a delay until July due to lingering issues. The company is focused on enhancing content detection, refining user experience, and ensuring scalable infrastructure for millions of users.

While the full launch may be pushed to fall pending safety checks, the new video and screen sharing features are unaffected.

2. Anthropic Unveils New Projects Feature 👥

Anthropic's new Projects feature for Claude AI Pro Team users allows teams to curate relevant documents and code insights in a single location, enhancing collaboration and productivity. With a massive 200,000-token context window, Claude gains a deep understanding of organization-specific information, providing tailored assistance across a wide range of tasks.

The feature also introduces advanced sharing capabilities, streamlining knowledge transfer and decision-making processes within teams.

3. Toys “R” Us Uses OpenAI Sora To Generate Commercial 🧸

Toys “R” Us, the iconic toy store that once fueled childhood dreams, is making a bold return with a cutting-edge twist. A recent video, produced using OpenAI’s Sora tool by brand management firm WHP Global, has ignited both nostalgia and debate.

While the commercial blends AI creativity with human touch, it raises questions about the future of brand storytelling in the digital age.

4. YouTube Negotiates with Music Labels for AI Training 🔊

YouTube is in talks with major music labels like Sony, Warner Music, and Universal to use their songs in training AI tools. The video platform aims to enhance its AI song generators through these partnerships and potentially integrate them into YouTube Shorts.

While some artists oppose AI-generated music, the industry is seeing legal disputes over copyright infringement with AI music generators like Suno and Udio.

5. OpenAI CTO Sparks Controversy Over Creative Jobs Take 😬

OpenAI's Chief Technology Officer, Mira Murati, recently made controversial statements implying that artists who lose their jobs to AI may not have deserved those jobs in the first place. This has reignited the debate on job automation and its impact on creative professions. Are we witnessing the beginning of a revolution where AI replaces human creativity?

6. AI Al Michaels Takes Center Stage at 2024 Paris Olympics 🥇

According to NBCUniversal, AI is stepping into the spotlight at the 2024 Paris Olympics with a custom AI-generated version of legendary sportscaster Al Michaels.

This innovative move will provide Peacock subscribers with personalized Olympic recaps narrated by an AI voice resembling Michaels, offering tailored highlights based on user preferences. With 7 million possible ways to customize the content, this blend of AI and sports broadcasting marks a significant leap into the future of media technology.

The integration of AI in delivering personalized sports content sets a new standard for interactive viewer experiences, showcasing the evolving landscape of AI applications in entertainment.

Secret way for AI to summarize your PDFs

Ever found yourself frustrated, trying to get Al chats like ChatGPT or Claude to digest PDFs, only to hit a wall?

We're revealing a game-changing method that will help Al read your PDFs properly!

🦾How You Can Leverage:

If only there were a simple set of instructions on how to implement Generative AI. 

You know…. Like rules. 

Oh wait. 

What’s that? 

That’s EXACTLY what today’s episode of Everyday AI covered. 

Bet. 

(Go check his previous show here on real business use-cases for GenAI.) 

Isar is the CEO of Multiplai, a company focused on educating businesses and individuals on leveraging AI technology to enhance efficiency and drive success.

Isar legit laid out the ground rules for successful implementation. 

Ready to follow Isar’s AI laws and get off the AI implementation fence? 

Lez get it. 👇

1 – Outcome Over Efficiency ↗️

Real talk – the biz world has taught us to chase efficiency like a mouse on a wheel. 

In the age of GenAI, though, chasing efficiency is prolly gonna get you the same thing that mouse gets.

A ton of movement.

Not many outcomes. 

Instead, Isar said we’ve gotta work in a way that focuses first and foremost on outcomes, and not necessarily the steps or processes needed to achieve said outcomes. 

For example - Isar pointed out that the goal of customer service isn’t a better ticketing system—it’s happy customers.

AI can help you achieve these outcomes more directly by automating entire processes, from intake to resolution, providing faster and more accurate service without the need for incremental improvements.

Try this: 

In the age of AI, we’ve gotta work differently. We take it to the extreme and encourage businesses we work with to unlearn good habits. 

We laid out our step-by-step process in this related episode, the 5 Simple Steps to Start Using GenAI at Your Business Today. 

2 – Going From Professions to Skills 🤹

Professions are morphing into skill sets thanks to AI. 

Isar took a trip in the Time Machine and laid out how this upcoming (and ongoing shift) isn’t new. 

There used to be actual humans with the role of ‘Computer.’

And people whose actual job title was, ‘Typist.’ 

In the same way, we’re going to see today’s roles blend as they become more of capabilities. 

As an example — will we have dedicated ‘Graphic Designers’ in the future? Or, will that just be a skill that we will all have and be able to use thanks to GenAI? 

Try this: 

Speaking of skills, what’s needed is constantly changing. Check out this article that shows the must-have skills in the AI era. 

3 – Two Ways to Win: proprietary data and optimization 📊

The winner’s of tomorrow may be those who collect better data and train models. 

Simple as that. 

Your data is your secret weapon.

Isar emphasized the power of using proprietary data to train AI models tailored to your business needs.

This provides insights and efficiencies that generic models can’t match. Even small companies can leverage their unique data sets for significant competitive advantages.

Try this:

You don’t gotta have a bajillion dollars and a team of computer scientists to compete in these two areas. 

A super simple way to think about using YOUR data and training models? 

4 – Law of continuously improving compromise 🧑‍🔬️

The first time you dabble in GenAI, you probably won’t get it right. 

And that’s kinda the whole point. 

AI doesn’t need to be perfect from the start.

  • Start using AI now, even if it’s not flawless, and continuously improve it as technology evolves.

  • AI systems should be implemented early and refined over time.

  • The focus should be on gaining immediate benefits and learning from initial implementations.

Try this:

Start small with AI in areas where it can immediately add value.

Automate routine tasks or enhance data analysis.

Continuously refine these implementations based on performance and advancements in AI technology.

5 – AI enables infinite scalability 📈

Whether you’re a team of 5 or 50,000, there’s always a common growth crutch. 

‘We don’t have enough marketing budget for this.’ 

Or ‘We’ve gotta table this until we can onboard more on our sales team.’ 

Naaaaaaah shorties. 

Isar tapped into the last law which can cut those two crutches at the knee — infinite scalability. 

AI isn’t just for minor improvements, Isar said; it’s for scaling operations to unprecedented levels.

Isar showcased how AI enables small teams to produce vast amounts of content, manage leads, and handle service delivery at scales previously unimaginable.

AI allows small teams to handle large volumes of work efficiently. 

Try this:

We love what Isar said here — start with the bottlenecks.

Start off with a one-hour investment to win back one hour a week.

It’s easy, simple and instantly scalable. 

So if you can automate, as an example, certain elements of content creation, then that starts to chip away at that whole, ‘don’t have marketing budget’ bottleneck. 

Want some inside insights from our team? 

We gave a super detailed guide on 5 ways we use GenAI every day.

Bonus:

Isar recently celebrated his 100th episode of his podcast, Leverage AI, and had our host Jordan come on and share as one of 20+ AI experts. Definitely worth a listen!

⌚

Numbers to watch

$350 Million

CData, a company that helps organizations use data across apps and build AI models, has raised $350 million.

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