How China's Open Source AI Model Is Rivaling Silicon Valley GIANTS
27 Jan 2025 · 4 min
Jim Carter III discusses DeepSeek v3, a Chinese AI model that matches Silicon Valley's capabilities while costing a fraction to run. The open source model could shift power away from big tech companies toward smaller organizations and individual developers.
Hey, everyone. Welcome back to the prompt. I'm your host, Jim Carter, and today we're diving into some seriously exciting AI news coming out of China. Let me introduce you to DeepSeek v3, an open source AI model that's turning a lot of heads in the tech world. Now, I know, I know another AI model, right? But trust me, this one is worth talking about. Deepseek V3 isn't just your average AI. It's a powerhouse with 671 billion parameters. Yeah, billion. It's got the kind of brain power that crushes tasks like coding competitions and complex math reasoning. And the thing is, it holds its own against big names like Meta's Llama, and even competes with OpenAI's GPT models. Impressive, right? But here's where it gets really wild. It was developed for just $5 million. That's peanuts compared to the hundreds of millions companies like OpenAI and Meta pour into their projects. It's like the ultimate underdog story. Scrappy, resourceful, and still managing to deliver a knockout punch. To put this in perspective, some of the top AI models we've seen cost upwards of $100 million and take well over a year to develop. Deepseek V3 flipped that script, coming in at just $5 million and hitting the ground running in two months. So how'd they pull this off? Well, the team behind Deepseek V3 got clever. They used something called mixture of experts, architecture. Basically a team of AI specialists, each focusing on their own strengths. Picture a soccer team. You've got defenders, midfielders, strikers, each with their unique role. And when they work together, they win matches. That's how MOE works. Instead of a single AI trying to do everything, it delegates tasks to experts, making the whole process faster and more accurate. Add in multi token prediction. Think of it as reading entire sentences instead of just one word at a time, and you've got a model that doesn't just perform, but thrives under pressure. And this was all done using Nvidia H800 GPUs, a workaround to restrictions that limit access to more powerful US hardware. It's a perfect example of necessity driving innovation. And it shows what's possible when resourcefulness is prioritized over brute force spending. And the best part, DeepSeek v3 is open source. That means smaller organizations, startups, and even individual developers can access cutting edge AI tech with without needing a massive budget or tech infrastructure. It's like pulling up more chairs to the AI innovation table. And I'm here for it. Now I know some of you are thinking there must be a downside. Fair point. Training on outputs from other models like GPT4 means deepseek sometimes identifies as chatgpt, which raises questions about data quality, bias and ethics. And yeah, running a model like this still requires significant computational power, so it's not exactly plug and play for everyone. But overall, I think think the benefits far outweigh the challenges. This model is a huge step toward democratizing AI, making it accessible to more people and organizations. When you combine its power, affordability and open source nature, you've got a recipe for some serious breakthroughs. Imagine you're a small business owner running a nonprofit focused on environmental data. With a model like DeepSeek V3, you could analyze years of data to spot patterns, predict trends, or even automate processes that would have required a full data science team before. Or picture a student developing an AI powered app for mental health. Tools like this make that dream a lot more achievable. Want to try it out? You can give DeepSeek V3 a run for yourself@deepseek.com this could be the start of something much bigger, what I like to call the democratization of AI. When you give more people access to cutting edge tools, innovation explodes. In the next decade we might see groundbreaking advancements not from Silicon Valley giants but but from someone working in their garage or a small lab. Just imagine what's possible when more minds have access to this kind of tech. We're talking about a future where AI innovation isn't just reserved for the tech giants, but something everyone can contribute to. If this has got you as excited as it has me, let's keep the conversation going. I'd love for you to join my Fast Foundations Slack community at fast foundations.com Slack. We're always geeking out about AI, sharing cool tools, strategies and fresh insights. Plus, you'll get sneak peeks into my projects and connect with a group of over 70 members who are as passionate about this stuff as we are. Thanks for tuning in. Let's keep exploring this Incredible World of AI 1 prompt@ a time. I'll see you in the next episode.
