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The future of AI-powered storytelling. What’s next and how to grow

Google Gemini gets a memory boost, U.K. gov. teams up with Claude, OpenAI removes content warnings and more!

Outsmart The Future

Today in Everyday AI
7 minute read

🎙 Daily Podcast Episode: AI is allowing us to imagine anything we want into content. So what does the future of storytelling look like for businesses? We dive in. Give it a listen.

🕵️‍♂️ Fresh Finds: AI deepfake U.S. bill, YouTube Shorts gets Veo 2 video generation and Arm to launch an AI chip this year. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: Google Gemini gets a memory boost, U.K. gov. teams up with Claude and OpenAI removes content warnings. For that and more, read on for Byte Sized News.

🚀 AI In 5: Do Google’s recent updates to Gemini Workspace make it actually usable? We dive in to find out. See it here

🧠 Learn & Leveraging AI: What will the future of AI and storytelling look like for your business or career? We take a deep dive and break it all down. Keep reading for that!

↩️ Don’t miss out: Did you miss our last newsletter? We talked about OpenAI canceling its o3 release for GPT-5 plans, Apple’s humanoid robotics plans, Adobe releasing its AI video model. Check it here!

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 The future of AI-powered storytelling. What’s next and how to grow 🖼

In three years (or less), ANY story you can imagine will be instantly transformable into professional-grade video content.

No fancy equipment. No massive creative team. Just your ideas and AI.

That's not some pie-in-the-sky prediction. That's straight from Eric Yang, CEO of Topaz Labs, whose AI-powered creative tools are already used by millions of content creators worldwide.

What does the future of AI-powered storytelling look like? We dive in and find out.

Join the conversation and ask Jordan and Eric questions on AI and storytelling here.

Also on the pod today:

Role of AI in Business and Storytelling 🏢
Future of AI Video and Image Technology 🎥
Societal Implications of AI-generated Content 🤔

It’ll be worth your 28 minutes:

Listen on our site:

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Upcoming Everyday AI Livestreams

Friday, February 14th at 7:30 am CST ⬇️

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

New AI Tool Spotlight – TestSprite is an AI agent automating software testing processes, 2Read is an AI Kindle reading buddy and Agents Base deploys swarms of cloud marketing agents that automate A/B tests.

Trending in AI – A U.S. bill combatting the spread of AI deepfakes has passed the Senate.

YouTube – Veo 2 is now available inside YouTube Shorts for AI video generation.

Business of AI - SAP and Databricks has announced a partnership for the SAP Business Data Cloud.

AI Chips – Arm is launching its own chip this year and Meta is already one of its customers.

AI Tech – Windsurf has unveiled Wave 3.

Read This - Former Google CEO Eric Schmidt fears AI misuse could pose an extreme risk.

AI in Science – A former DeepMind scientist has founded Latent Labs for biology programming.

1. Google's Gemini AI Gets a Memory Boost 🧠

Google's Gemini AI now remembers past conversations for users subscribed to Gemini Advanced via Google One AI Premium. This feature means no more recapping old chats, as Gemini provides context-savvy responses, making it a game-changer for those juggling multiple projects.

Users can manage their chat history at any time, keeping control in their hands. While this update is rolling out in English, Google plans to expand to more languages and customers soon, marking a significant leap in AI's conversational capabilities.

2. UK’s AI Shift and Team Up with Anthropic Claude 🤝

The UK government is collaborating with AI startup Anthropic. The partnership aims to leverage Claude, Anthropic's chatbot, to streamline access to public information, reducing time spent on document searches. Backed by tech giants Google and Amazon, Anthropic is already enhancing efficiency in the European Parliament.

The UK government is rebranding its AI Safety Institute to the AI Security Institute, focusing on safeguarding national security through AI, according to TechCrunch. This move aligns with the Labour government's tech-driven "Plan for Change," emphasizing development over existential AI risks.

3. ChatGPT's Warning Rollback Sparks Debate

OpenAI is dialing back its notorious "orange box" warnings in ChatGPT, a move aimed at reducing unnecessary denials, according to a post by their AI model behavior team member, Laurentia Romaniuk. The change is designed to present the chatbot as less filtered, though it still maintains boundaries against harmful or blatantly false content.

This adjustment comes amid political pressures, with critics accusing AI tools of censoring certain viewpoints, notably from conservative circles. While OpenAI insists this has "no impact on model responses," the update is likely to stir discussions around AI bias and freedom of expression.

4. Publishers Sue Cohere for Copyright Infringement 🧑‍⚖️

Major publishers like The Atlantic, Politico, and Vox have launched a lawsuit against Canadian startup Cohere, reported by Dow Jones & Company. They accuse Cohere of copyright and trademark infringement for using at least 4,000 copyrighted works to train its language model and displaying full articles without redirecting users to the original sites.

Adding fuel to the fire, the lawsuit claims Cohere also misuses publisher trademarks by presenting "hallucinated" content under their names. This legal battle highlights the simmering tension between traditional media and AI firms, impacting how companies and individuals navigate content creation and intellectual property rights.

5. Anthropic’s Next Major Model Arriving Soon 👀

Anthropic is reportedly set to unveil its next major AI model within weeks. This upcoming "hybrid" model is designed to seamlessly switch between deep reasoning and quick responses, offering developers a "sliding scale" to manage costs efficiently.

Outperforming OpenAI’s o3-mini-high model on certain programming tasks, this model promises impressive capabilities in analyzing large codebases and business benchmarks. CEO Dario Amodei's recent remarks highlight a focus on enhancing reasoning models, signaling a new era of AI innovation.

6. DeepSeek Models Shake Up AI Chip Race in China 🚀

DeepSeek's open-source models are leveling the playing field for Chinese chipmakers like Huawei against U.S. giants such as NVIDIA. While Huawei has struggled to match Nvidia's prowess in AI training, the focus on "inference" tasks could allow Chinese firms to bypass U.S. chip restrictions.

With companies like Hygon and EnFlame jumping on the DeepSeek bandwagon, this shift could spark a wave of AI adoption in China. However, experts warn that NVIDIA's grip on the market remains tight, thanks to its powerful CUDA platform.

Gemini Workspace Updates: What's Good & What Still Needs Work

When we first reviewed Gemini inside Google Workspace, we weren’t impressed.

But Google has been rolling out a lot of updates to its Gemini integration into Google Workspace.

So we decided to take a look at what’s new and see if the updates actually make Gemini Workspace usable.

🦾How You Can Leverage:

Ready for a creative reality check? 

While everyone's losing their minds over OpenAI’s Sora and Google's Veo video generators, the real gold mine might be sitting in your hard drive. 

Right now.

Topaz Labs CEO Eric Yang just broke down why most companies are thinking about AI video all wrong. 

His company's got millions of users, and they're telling us something unexpected: The money isn't in generating fake worlds. It's in making your real content friggin sparkle. 

Forget everything you've heard about AI replacing your creative team. That's not where this is going.

The future? It's about to get weird. And wonderful. And profitable - if you're paying attention to the right signals.

In three years, every story in your head will be instantly convertible to professional-grade video. But that's not even the most interesting part.

Let’s get creative. 

Let's dive into the silicon-laced tea leaves:

1 – Why Old School Video is About to Become More Valuable, Not Less 🎥

Plot twist: AI-generated content isn't going to devalue your authentic footage. It's going to make it more precious.

Eric said to think about what happened with Photoshop. When digital manipulation became ubiquitous, authentic images didn't lose value. They became gold.

The same transformation is happening now with video. Fast.

Eric saw this pattern emerge with millions of users on his Topaz platform. 

They weren't begging for AI generation. They wanted to enhance their existing content. Make it sharper. Cleaner. More professional.

Your 30-year-old company footage? That grainy product demo from 2015? They could be the foundation for your next creative genius. 

Try This: 

Start with your oldest successful marketing video. The one that resonated but looks dated. 

Use AI enhancement tools to bump the resolution to 4K. 

Clean up the audio. 

Extend short scenes by 2-3 seconds where needed. 

But here's the crucial part: Document the original metadata and keep both versions. In three years, proving your content's authenticity will be a competitive advantage. Build that system now.

2 – The Golf Book That Changes Everything About AI Video 📕

You read that right. 

Eric shared something fascinating: He bought a 50-year-old golf book to improve his game. 

But YouTube creators taught him more in minutes than the book did in hours.

This isn't just about golf. It's about how visual learning is evolving.

In three years, your training videos won't compete with just other companies. They'll compete with AI-generated, personalized visual explanations of everything.

The companies winning that race won't be the ones with the biggest AI budgets. They'll be the ones who understand how humans actually learn and retain information.

Try This: 

Take your three most-requested customer support issues. 

Create visual explanations using today's AI storyboarding tools. Test different lengths and styles. Use AI enhancement to make them crystal clear on mobile screens. 

Track support ticket reduction rates for each version. Scale what works. But remember: The goal isn't to replace your support team. It's to make them superheroes.

3 – The Hidden Revolution in Pre-Production 🤫

While everyone's waiting for perfect AI video generation, the real transformation is happening in pre-production. Right now.

Creative teams are using current AI tools to slash ideation time from weeks to hours. They're testing concepts without burning budget. Getting buy-in without expensive mockups.

But there's a catch: The barrier isn't technical anymore. It's narrative.

When everyone can create Hollywood-quality video with a text prompt, story becomes everything. The companies winning in three years will be the ones building those storytelling muscles today.

Try This:

The LLM game has been a bit too hot the past year or so. Way back when, we used to dive into the creative side of AI a lot more. 

We had two great episodes covering Midjourney. 

Go devour these two, and you’ll see how Midjourney can be a crucial part of cutting down on pre-production. 

Numbers to watch

February 19th, 2025

Tim Cook has teased Apple product news for February 19th. Some believe it’s the iPhone SE.

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