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Claude 3.5 with Artifacts: ChatGPT killer? 😱

Anthropic drops surprise 3.5 model with 'Artifacts', OpenAI founder creates AI company, Apple needs a Chinese AI partner, how to implement game-changing AI and more!

Sup y’all 👋

Newsletter’s coming in a bit late today, as we’ve been wrapping up some ‘PPP Biz’ trainings.

(Hit us with a reply if you want a discount code.)

Anywhos, kinda glad we’re a few hours behind our normal schedule, as we were able to do a quick video review of Anthropic’s new Claude 3.5 model that just dropped.

TBH, we’ve never been big Claude fans. But, this new ‘Artifacts’ feature might change that, TBH.

We’re planning a podcast/livestream episode for next week to cover this. What parts do you want to see most?

Vote to see live results, and submit feedback after voting to tell us more of what you’d like to see!

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Outsmart The Future

Today in Everyday AI
7 minute read

🎙 Daily Podcast Episode: How can you turn AI from a shiny new toy to an actual game-changer? What are the roadblocks? We have an expert lay out the steps needed to succeed. Give it a listen.

🕵️‍♂️ Fresh Finds: Target adds an AI chatbot to stores, Amazon brings AI product descriptions to the EU and an AI robot solves a Rubik's Cube in 0.305 seconds. (Wait, whuuuu?) Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: OpenAI Co-Founder launches new AI company, Anthropic drops new 3.5 model with ONE killer feature and Apple searches for Chinese AI partner. For that and more, read on for Byte Sized News.

🚀 AI In 5: Did you know Anthropic Claude 3 makes for a blazing fast data analyst? We show you how. See it here

🧠 Learn & Leveraging AI: Wondering how to actually implement AI into your business to benefit from its game-changing features? We tell you what you need to know. Keep reading for that!

↩️ Don’t miss out: Did you miss our last newsletter? We talked about NVIDIA passing Microsoft, Meta's 5 new AI models and the future of AI clones. Check it here!

Going from Everyday AI to Game-Changing AI 🤩

Sometimes AI may seem like the shiny new toy that everyone wants to play with.

So how does AI go from 'cool business tool' to changing everything?

It's not an overnight process.

It takes intentional steps.

Rehgan Bleile, CEO of AlignAI, walks us through those steps.

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

Also on the pod today:

• Current AI Trends 📈
• AI Implementation and Barriers 🤔
• Security Concerns of AI Implementation 🔓

It’ll be worth your 32 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 – Playmaker simplifies your document workflows, Trustloop is AI-powered feedback and Socap helps founders and investors fundraise faster.

Trending in AI – Target is adding an AI chatbot named Store Companion to help employees with customer service.

Big Tech - Amazon is expanding its AI-generated product descriptions to Europe.

AI Startups - French-founded generative AI startups have raised the most funding in Europe, totaling $2.29 billion.

Future of Work – The company Materia is looking to make accountants more efficient using AI.

AI Robots – This AI robot solved a Rubik’s Cube in 0.305 seconds.

1. OpenAI Co-Founder Launches Safe Superintelligence Inc.🤖

OpenAI's co-founder Ilya Sutskever, along with co-founders Daniel Gross and Daniel Levy, unveils Safe Superintelligence Inc. (SSI), a pioneering startup dedicated to developing a safe and robust AI system. SSI's unique approach prioritizes safety and capabilities simultaneously, allowing them to progress swiftly while maintaining a laser focus on safety.

With a business model insulated from short-term commercial pressures, SSI aims to scale peacefully and revolutionize the AI landscape.

2. Anthropic's New Claude 3.5 Sonnet Outshining Competitors

Anthropic's latest release, Claude 3.5 Sonnet, is creating a buzz with its impressive performance compared to renowned models like GPT-4o and Gemini, across a diverse range of tasks.

Anthropic’s benchmarks reveal that this middle model in Anthropic's lineup is surpassing expectations by a wide margin, showcasing its dominance in the AI landscape.

The model not only boasts impressive benchmark scores but also excels in writing, translating code, handling workflows, interpreting data, and understanding humor in a more human-like manner.

We did a quick video overview telling you what you need to know.

3. Apple’s AI Ambitions Face Hurdles in China 🇨🇳

Apple’s grand plans to introduce AI features in China hit a snag due to strict regulations, forcing the tech giant to navigate complex market dynamics. With China’s stringent rules around AI and ChatGPT not being available in China, Apple must find ways to comply while competing with local tech giants like Huawei and Baidu.

The challenge lies in bringing Apple Intelligence to Chinese users while respecting privacy laws and regulations, creating a unique hurdle for the Cupertino giant.

4. Accenture's GenAI Services Drive Revenue Growth 💸

Accenture projects annual revenue growth above estimates, fueled by the increasing adoption of artificial intelligence. Despite a challenging economic environment, Accenture stands out as a go-to consultant for businesses transitioning to cloud-based operations, shielding itself from budget constraints.

CEO Julie Sweet emphasizes the transformative role of GenAI technologies in automating operations, driving productivity gains and cost savings.

5. PayPal Snags Walmart Tech Whiz for AI Push 👤

In a strategic move, PayPal has appointed Srini Venkatesan, a former top tech executive at Walmart, as its new chief technology officer to spearhead the company's AI initiatives. Venkatesan's extensive experience in leading technology, digital transformation, and AI personalization is expected to drive innovation across PayPal's operations.

With CEO Alex Chriss focusing on expanding revenues beyond transaction volumes, the company aims to revolutionize global commerce through cutting-edge AI solutions.

Anthropic drops new model: Will Claude 3.5 with Artifacts dethrone ChatGPT?

Wait, can we still not like Claude?

Ok. Ok.

This is actually REALLLLLLLLY good.

Anthropic surprised us all with its Claude Sonnet 3.5 release. It looks pretty fast and powerful after our initial tests. And there’s one feature that is leaving ChatGPT in the dust.

🦾How You Can Leverage:

The secret’s already out — Generative AI is the future of work.

That’s not exactly breaking news.

What WILL be breaking news, though, is once the collective business world fully grasps the power of Generative AI and Large Language Models.

Easier said than done.

Normal world-shaking innovations can take a decade or longer for companies to catch up and fully implement. But with GenAI, it’s an all-out sprint to educate and implement.

Rehgan Bleile helped walk us through it today.

She’s the CEO of AlignAI, and she gave us the 101 on how companies can reframe GenAI from a productivity superpower to a game-changing innovation.

She was dropping more facts than a leaky faucet drops water.

This is one of those episodes that’s worth a rewatch or re-listen.

If you’re looking for the tl;dw takeaways, though, we gotchya.

Let’s get it. 👇

1 – Find your baseline and levers 🎚️️

Start at the bottom.

Rehgan stressed starting with what she calls a "baseline." This means documenting your current metrics and understanding your standard operations before integrating AI.

In other words, you gotta know what matters and be able to measure the movement that happens because of GenAI. 

Rehgan used the example of Google Analytics for marketing to illustrate how AI can track multi-touch attribution, showing how different elements contribute to conversions. 

Similarly, in AI, knowing and measuring your starting lever allows you to measure the AI's influence accurately.

Try this: 

Going from baseline to implementation isn’t easy. This article from TechTarget is a great guide if you’re looking for deeper reading.

2 – Address risk and dependency ⚠️

If everyone knows that AI is a top priority, then why are so few enterprises fully leveraging it? 

Rehgan says it comes down to two main things: risk and dependency. 

Let’s be honest shorties — for many, Generative AI and Large Language Models are both a black box of mystery and something so game-changing that C-suites are salivating over it. 

But, the risks of the unknown and not wanting to be TOO dependent on a black box get companies tripped up before they can get out running. 

Try this: 

This is easier said than done, but Rehgan laid out some simple and straightforward pieces of advice: 

  • Governance is a must. Know where your AI lives, where your data’s stored, and how it’s protected.

  • Create a solid risk plan. Get security teams in the loop from day one. Spot and squash risks early.

  • Dependency on AI is coming, like it or not. Rehgan likened it to our reliance on the electrical grid – invisible until it’s not.

3 – Pinpoint your game-changing differentiator 🎯

Rehgan stressed that for AI to be transformative, it needs to target specific areas where it can provide significant value. 

Turning GenAI from productivity powerhouse to game-changer isn’t about generic improvements but about identifying and focusing on game-changing differentiators.

You’ve gotta find that ONE specific thing that separates you from the pack. Then, find how Generative AI can compound that differentiator.

Try this:

That special sauce that sets you apart from your competitors? You’ve gotta lean into it.

As just about everyone is using GenAI to try and set themselves apart, here’s a Harvard Business Review guide on how to use AI to stick out from your competition.

Numbers to watch

$1.15 Billion

The U.K. has seen $1.15 billion in GenAI startup funding.

Now This …

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