☄️ DeepSeek Shakes Up the Industry
DeepSeek, a new AI model, is making waves strong enough to rival ChatGPT. And they OpenSourced it.
Key Facts
- 📊 Multimodal Processing: DeepSeek can handle various types of information, not just text.
- 💰 Affordable Innovation: Being open-source, it cuts down on costs, making advanced AI more accessible.
- 🤖 Continuous Learning: It keeps improving over time, instead of staying the same.
Everyone who follows AI has heard about DeepSeek and it’s impact on big tech last few weeks…
🔻 NVIDIA stock dropped.
💬 OpenAI accused DeepSeek of using its model to train its AI.
😬 Meta launched multiple war-rooms to figure out what this means for them
🤬 I even came across a video where DeepSeek fired back at its critics—though it was very obvious the response was prompted.
If you’re looking for details beyond the clickbait, here’s what you need to know:
DeepSeek is the latest LLM release out of China, with a massive parameter count, far surpassing rivals. That extra power translates into better accuracy, and they trained and released it in record time.
This was the first big “reasoning” release from someone other than OpenAI that showed deep understanding of the queries given.
At first it was curious, offering an insight into a competitor from China. Then they did the unthinkable, by open-sourcing the entire thing.
AI advocates lost-their-minds.
Everyone is now looking, experimenting, and testing what this HUGE release will do for the industry.
The numbers and this release aren’t just impressive—they signal a major shift in AI capabilities and global competition.
In healthcare, for instance, DeepSeek achieves a whopping 96% accuracy in diagnosing diseases, outpacing GPT-4, amongst others.
NINTY-SIX.
And DeepSeek isn’t just another AI model; it’s part of a bigger tech movement coming out of China.
As AI innovation spreads beyond Silicon Valley, the race for AI dominance is heating up. DeepSeek’s rapid progress and affordability raise important questions for businesses worldwide.
Personally, I’m excited about the possibilities.
The AI community is cautiously adopting R1 at a lightning pace.
- Perplexity has incorporated it’s reasoning into their Pro Search (and I use it daily)
- Many are using it’s steps to re-imagine how to process their prompting
- I’ve even started testing it inside of Bara.ai workflows
DeepSeek has already hit No. 1 on Apple’s App Store, proving that even with fewer resources, disruptive innovation is possible.
If a startup can challenge AI giants like OpenAI, what could that mean for your industry?
Well, we’re about to find out.
If you’re curious to dive deeper into DeepSeek, check out more details here 🔗
→ For the sharp eye, you’ll see not just an expanded review of this AI tool on my site but also a YouTube video review. That review has already gotten nearly 1k views, and was 100% AI generated. More of this soon.👀
🔧 Meet Operator: The AI That Actually Gets Stuff Done
OpenAI has introduced Operator, an AI that does a lot more than just chat.
Key Facts
- 🌐 Web Interaction: Operator completes tasks by navigating web pages.
- 🛡️ User-Friendly: If it encounters something tricky, it pauses and lets you take over.
- 💡 Reusable Workflows: You can save tasks to use them again, making your workflow more efficient.
To put it simply:
Operator performs various tasks on the web by interacting with a browser—just like a human.
Currently available to ChatGPT Pro users in the US, Operator is designed to automate tasks such as filling out forms, booking travel, and creating content.
This marks a major shift in AI evolution, moving from passive assistants to fully functional digital agents.
So, how will Operator impact business?
Google faces potential disruption to its search and ad business, while gig economy platforms like Uber and Instacart could see increased order volumes through AI-driven automation…to name a few.
And the competition between closed ecosystems like Operator and open-source alternatives like browser-use will likely drive rapid innovation and accessibility improvements.
Hard to wrap your head around it? You’re not alone.
Even my tech lizard-brain is struggling to think of enough use cases to justify paying OpenAI $200/m.
But that’s the point.
Yes, you can use this in new, wildly creative ways, it’s best at doing what you normally do.
- Tired of copying/pasting from one site to another?
- Wish there was an easier way to search for the best flights and book them on your own accounts?
- Want to to automate something but not hire an engineer to build something needed to be maintained?
That’s the concept. Just make Operator (or an AI Agent) do it.
Want to see an open-source version of this working you can experiment with? Check this out 🔗
We’re witnessing the start of a new digital age—one where delegating work to AI becomes as common as using a search engine.
What would you automate first?
👀 Gemini’s Quiet Power Move
Gemini now processes live video and static images simultaneously, opening up some incredible possibilities.
Key Facts
- 🎥 Dual Processing: Handles live video streams and static images together.
- 🚀 Broad Applications: Potential uses in education, healthcare, creative arts, and engineering.
- 🤔 Under the Radar: Despite its significance, this wasn’t widely publicized by Google.
A quiet yet major breakthrough.
It was revealed through the experimental AnyChat app rather than Google’s main platforms.
While this could change a lot in fields like healthcare, education, and engineering—enabling real-time diagnoses or interactive learning—Google’s hesitation to showcase it raises questions about innovation in big tech.
Interestingly, the breakthrough came from an independent developer, Ahsen Khaliq, and the Gradio team, highlighting how smaller players are pushing AI boundaries.
Despite the potential, there are challenges—mainly the high computational demands needed to make this scalable. But the bigger story here isn’t just the tech; it’s the shifting power dynamics in AI development.
Breakthroughs like this push us one step closer to decentralized AI.
Here’s how Gemini’s upgrade could make a difference:
- In Education: Students could receive real-time feedback during lectures while accessing supplementary material on the fly.
- In Healthcare: Doctors might analyze live patient data alongside historical records for more accurate diagnostics.
- In Creative Fields: Artists and designers could blend live visuals with static elements in groundbreaking ways.
As someone who’s dabbled in digital art with AI tools, this excites me.
Is this an oversight, a deliberate choice, or just something Google’s not ready to deploy to the masses yet? Unsure.
But what we know is that as soon as we can pick up on one way of working, AI advancement is sure to change everything again.
If it feels all like too much..
📍You’re in the right place at the right time. Here’s how to get the most out of it.
Join the conversation in my Slack community where we talk about these topics as a group and keep a pulse on everything happening.
I run this incredible private community for thought leaders like you who are interested in AI development and implementing it into their own personal and professional lives.
Right now, it’s open for enrollment.
- 🤝 Networking & Collaborations
- 🧠 AI Insights & Tools Showcase
- 📆 Monthly Q&A “Office Hours” with me
- 📞 A 1:1 Welcome Call for us
- …and more!
Check it out here: https://fastfoundations.com/slack 🔗
