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Maybe the most important newsletter from us 👇

✅ Hundreds of hours of GenAI insights in 5 steps for business implementation, Neuralink's first brain chip implant, overview of ChatGPT @mentions feature, and more!

Author

Everyday AI
January 31, 2024

Outsmart The Future

Sup y’all 👋

Had to drop a note and say … today’s pod is a must. It’s the highlights and best advice from hundreds of VERY smart people in AI all wrapped up into one. 

But, I wanna hear from you. 

Mentioned this in the show — 83% of companies say GenAI is a top priority, but only 4% have implemented GenAI across their entire org. 

So, where are you at? 

(Vote to see results)

Where is your business at with GenAI implementation? (Vote to see results)

Login or Subscribe to participate in polls.

Oh, and a nice surprise for you at the end of this newsletter. (First time we’ve offered this.)

✌️

Jordan

Today in Everyday AI
8 minute read

🎙 Daily Podcast Episode: Looking to implement generative AI in your business? We’ve boiled down hundreds of hours of expert advices into 5 simple steps to success. Give it a listen.

🕵️‍♂️ Fresh Finds: An app store for AI image apps, New York Times shifts focus to AI, and Hollywood’s most at-risk jobs. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: Neuralink’s first brain chip implant, Microsoft and OpenAI invest in robotics, and Volkswagen creates an AI lab. For that and more, read on for Byte Sized News.

🚀 AI In 5: ChatGPT mentions are now out for everyone. Here's some things you may not know. (That we haven’t seen anyone else mention. lol. Get it?) See it here

🧠 Learn & Leveraging AI: We’re giving you our 5 step guide to implementing GenAI today. Keep reading for that!

↩️ Don’t miss out: Did you miss our last newsletter? We talked about the AI productivity killer, ChatGPT Violates EU Privacy Rules, and Meta's rival to GPT-4. Check it here!

5 Simple Steps to Start Using GenAI at Your Business Today 🚀

Implementing Generative AI in your business is one of the hottest topics today.

Everyone is trying to figure out how to add GenAI.

We've talked to more than 120 experts and leaders across the world spanning from enterprises to startups and CEOs.

We're laying out the blueprint with our 5 step guide on how you can add GenAI to your business today!

Join the conversation and ask Jordan questions on GenAI here.

Also on the pod today:

• Focus on AI education 🧑‍🏫️
• AI Guidelines and Guardrails 🔓
• Practical Application of AI ✅

It’ll be worth your 1 hour:

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

Upcoming Everyday AI Livestreams

Thursday, February 1st at 7:30 am CST ⬇️

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

New AI Tool Spotlight – Openart is an app store for AI image apps, GPTGuard is a ChatGPT-like experience with enhanced privacy and security, and LOVO gives you subtitles in one click.

Trending in AI – The New York Times is building a team to focus on AI.

Big Tech - One of Google’s AI watchdog teams focusing on ethical AI product development may be disbanded.

Pop Culture – Here are the Hollywood jobs most at risk to AI.

Read This – Even though NVIDIA is leaving other AI chips in the dust, AMD is trying to take back some of the market share.

1. Elon Musk's Neuralink Has First Brain Chip Implant 🧠

Musk's company, Neuralink, has successfully implanted a brain chip in a human as part of a preliminary clinical study. This groundbreaking technology could be a "game changer" for people with limited motor function, allowing them to communicate and control external devices with their thoughts. People suffering from paralysis due to stroke, traumatic brain injury, or spinal cord injury could greatly benefit from this technology. 

2. Microsoft and OpenAI’s $500 Million Investment in Figure AI 🦾

Microsoft and OpenAI are reportedly considering a massive investment of up to $500 million in Figure AI, a startup that aims to deploy autonomous humanoid workers worldwide. With this potential funding, Figure AI could be valued at a whopping $1.9 billion, making it the first-ever humanoid robotics unicorn. This news comes as the robotics industry is projected to explode into a $3 trillion market by 2050.

3. OpenAI Introduces @Mention Feature To ChatGPT Users 🗣

OpenAI's ChatGPT is now allowing users to directly mention other GPTs in conversations. Paying subscribers can now invite third-party generative pre-trained transformers (GPTs) by simply typing the @ symbol. These GPTs join the conversation with the full context, making it easy to use multiple GPTs.

4. Volkswagen Creates Its Own AI Lab 🚙

Volkswagen is revving up its AI game with the launch of its own AI lab. The German automaker aims to make their cars smarter and enhance the driving experience. The lab will focus on developing AI innovations such as optimizing electric vehicle charging, predictive maintenance, and in-car voice recognition. Volkswagen plans to collaborate with technology companies and potentially license its proprietary AI technology to partners.

5. Tech Giants' Disappointing Results Send AI Stocks Plummeting 📉

Microsoft, Alphabet, and Advanced Micro Devices (AMD) took a beating in the stock market after delivering underwhelming quarterly results. With investors' high expectations after the AI-fueled rally, the market reacted strongly to these tech giants' reports. Alphabet's drop of 5.6% was fueled by missed ad revenue expectations and increased spending on data centers to compete with Microsoft. Meanwhile, Microsoft beat revenue estimates but saw its stock fall 0.7%.

ChatGPT @Mentions Feature Overview

Last week OpenAI rolled out ChatGPT’s new mentions feature to a select few.

This new feature allows you to bring in and talk to multiple GPTs in your chat at once.

Now ChatGPT mentions is out for everyone. Here's some things you may not know (and things we haven’t seen anyone else mentioning yet.)

Or take a look at this related video:

🦾How You Can Leverage:

The company that figures out AI implementation is gonna win 2024. 

Lucky for you: we have the blueprint here. 

The newsletter is definitely the tl;dr version of today’s show, which should be a requirement for anyone interested in GenAI. 

Like we mentioned above, a lot of the content from today’s show goes out to some stellar guests who shared their insights on (and off) camera. 

We’ve had 120+ amazingly talented guest on our show, and have worked offline with thousands of others teaching the basics of GenAI. 

While the majority of today’s show came from our own experiences helping clients implement GenAI, we spent hours digging into insights from these amazing people and previous episodes 👇

Ep 23: Using AI in the C-Suite for Human Connectivity with George Alifragis from the Cyber Security Global Alliance

Ep 90: How To Tackle AI Privacy and Governance with Katharina Koerner from the Tech Diplomacy Network 

Ep 98: The Art of Storytelling – Experience From a Microsoft AI Ambassador with Doug Thompson, former Microsoft AI Ambassador and Owner of The Doug Thompson LLC

(See that ChatGPT? You gotta cite your sources shorty!) 

Whew. That’s a lot of additional listening. If you had no plans this weekend, now ya do!

Now, let’s dig beneath the sand and find those golden AI nuggets, shall we? 

This is the legit blueprint on how to implement GenAI in 2024. 

Dig in

1 – Gather insights from a ground-up committee️

You don’t start with guidelines and guardrails.

You start with a fast-paced, yet intentionally deep AI committee built from the ground up. 

Tackling tough questions before anything is set in stone is important for widespread buy-in and transparency through a process that is honestly a bit uneasy for everyone. 

Start by asking Why GenAI. 

(The answer might be based on studies that show GenAI can automate up to 70% of what employees spend their time on today) 

And talk openly about what happens if AI works. (More on that in #5) 

Try this: Your AI implementation committee should have more entry level workers than upper management, directors and C-suite. If you want to be successful, you have to thoughtfully take into account insights from the very people who may be using GenAI the most on a daily basis. 

Also, see what insights global leaders have already put together in the EU AI Act, the Hiroshima AI Process, and the White House Select Committee on AI. 

(Hint, that’s probably not the C suite. If you build top-down with mandates from the mountain, you’ll fail.) 

2 – Create straightforward guidelines with guardrails

Imagine being in a crazy car. 

But it’s a completely foreign type of vehicle on some otherworldly road. 

All those decades of driving won’t help you there, right? 

That’s what Generative AI is like once your company fully embraces it. 

Hence, the need for guidelines and guardrails. 

Before you can sprint toward your first implementation, you need to take all of the insights from your (deliberate yet quickly moving) AI Committee into rules on paper. 

Try this: Again, don’t fret shorties. So many great orgs have already put great rules in place that you can borrow from. (Don’t steal em, but use them as your inspo.) 

The White House Executive Order on AI is a great start. Also, check out Unesco’s Recommendation on the Ethics of AI and the recommendations from the NIST. 

Oh, also check to see what existing policies you already have in place that could be updated to include provisions on responsible and ethical AI use. 

3 – Sprint toward your first small measurable AI project

If you think your companies first AI project should be a one-year pilot program building your own Large Language Model, that’s a recipe for failure. 

Seriously. 

Instead, we suggest focusing on an easy win that makes sense across all departments. 

We talked about 3 examples, and gave recommendations on how to communicate the story to other departments and stakeholders. 

Try this: Make sure your first AI implementation makes sense and is quantifiable. Can’t emphasize enough how important that piece is if you wanna win in the long-run. 

4 – Invest heavily in education and training that align with long-term business goals

This one’s a doozy. 

To be honest, proper GenAI implementation might mean unlearning decades of best practices. 

The best piece of advice here is focus on ongoing education and GenAI learning opportunities for your company. (We do that for individuals and companies! Just reply to this email for more info.) 

Before you can properly leverage GenAI in the long-term, you have to focus on explainability. 

You can’t just let the black box of Generative AI remain a black box. To increase trust, you need explainability.

Try this: We took a DEEEEP dive into this one yesterday, so make sure to check that show out.

5 – Plan for a future of what happens when AI works

What happens when AI actually works?

The answer is hard to come by, actually.

You know that whole ‘83% of companies say GenAI is a top priority, but only 4% have implemented GenAI across their entire org.’

But if you do GenAI implementation the right way, you have to prepare for what comes after. When you follow steps 1-4, how your company does business changes completely.

Try this: Before you’re fully off to the GenAI races, have the tough conversations. Do jobs go away? Do impacted workers get reskilled and upskilled? Will job roles change? 

Those questions are for your company to figure out, but they’re required questions to explore.  

Now This …

Oh, that little surprise we mentioned?

Whether you’re trying a full-fledged GenAI implementation, or you’re just trying to get more out of ChatGPT, it helps to have an expert in your corner.

(That’s us.)

We just started offering quick GenAI consults last week. They’ve been a HUGE success so far, but we haven’t publicized it.

Until now.

Save hours of going down the wrong path and get on the road to GenAI implementation.

The first 5 people can use code GenAI15 for 15% off. 👇

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