WELCOME to our Weekly Freeze - our AI News Update! 🚀

Bringing you a one-stop summary of everything happening in the world of AI and within our community!

This week, unless you’ve been living under a rock, it was all about China’s DeepSeek.
It made waves everywhere - stocks dropped, eyebrows were raised, and big questions started flying.

The first question: What is DeepSeek all about, and what makes it different - besides being open-source from China?

This was covered extensively, and if you want a quick understanding of DeepSeek, check out Andrew Ethan Zeng’s YouTube breakdown.
In short, it’s all about reinforcement training and less human involvement.

This is why it is cost-effective but also comes at the price of less consistency, relevance, and, let’s just say, the ability to understand what’s appropriate to say and when.

Meanwhile, interviews with CEOs from OpenAI, Nvidia, Google, and more have been making the rounds as the finance world went into a frenzy with stocks dropping and people questioning how DeepSeek supposedly developed an LLM for under $6 million - while others need billions to keep AI development moving.

This is where we came across a JPMorgan article declaring the AI Cold War to be both scandalous and insightful - definitely worth a read.

But the most interesting conversation of the week wasn’t just about DeepSeek’s cost - it was about where AI data is stored and the rising awareness, for the first time, of the importance of knowing where it is stored and the growing concerns about its origins in China.

Wherever you stand on this, that’s for you to decide. But with other players like Perplexity now integrating DeepSeek, knowing where your data is stored is becoming a bigger question. Tobias Zwingmann’s tutorial is a great resource on how to check your AI data storage efficiently.

Before we wrap up for the week, here’s a reminder from the Frozen Light team:
Make DeepSeek a value conversation - don’t rush to cancel your ChatGPT account before getting clarity on your needs.

Here are a few things to consider:

●       Is reinforcement learning enough for your use?

●       Where is your data stored?

●       Where is the development team located?

●       Do cultural differences impact how the model operates?

Make sure you understand your position before deciding which LLM model to use.

DeepSeek gave us a lot to talk about this week! For more freezing AI updates, don’t forget to join our Frozen AI community, where we keep you enlightened and updated on everything happening in AI - especially in AI sales and marketing, supported by our global experts.

Stay warm, but not too warm! 😉

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