So DeepSeek woke up and chose violence — dropping not one, but two new AI models with benchmarks so spicy, they’re basically subtweets aimed at Google and OpenAI. 

Here’s the rundown: 

They launched V3.2 and its bigger sibling, V3.2-Speciale, and like I said earlier, the numbers are wild.

For context: V3.2 is the follow-up to that experimental model they shipped back in September — but this new one? DeepSeek claims it outperforms GPT-5 High on several reasoning benchmarks. 

And Speciale? That version straight-up outperforms GPT-5, goes toe-to-toe with Google’s Gemini-3 Pro, and hits gold-medal-level scores in competitions like the International Math Olympiad and the International Olympiad in Informatics.

Again — their words, not mine.

But here’s where it gets extra interesting — DeepSeek isn’t just pushing raw intelligence. They’re going all-in on tool integration, which means the model doesn't just “think”, it can think while using calculators, search engines, and code executors. 

DeepSeek even says this is their first model where thinking is directly wired into tool use, and it can switch between thinking and non-thinking modes.

Translation? It can be deep and analytical… or fast and practical.

Then there’s Speciale, which is basically the graduate student version — built for long-form reasoning and advanced math. It handles multi-step logic without collapsing halfway through.

If V3.2 is the everyday genius, Speciale is the one you call when your research paper starts hallucinating.

Oh — and they’re keeping it open-source.

Which sounds awesome… until you remember the model has 685 billion parameters, meaning you’re only running this thing if you own a warehouse, a power plant, and maybe a small moon.

And just to stack the announcement even higher, DeepSeek also revealed a brand-new method for training AI agents — the kind that can act independently, make decisions, and operate without hand-holding.

Basically, they’re prepping for the era of “AI employees” that don’t need a manager… which, depending on who you are, is either super exciting or mildly terrifying.

So what does all of this mean?

It means DeepSeek isn’t just catching up, they’re firing shots at the absolute top of the AI leaderboard.

So yeah, the next phase of the AI race might not be just OpenAI vs Google… it might be OpenAI vs Google vs DeepSeek.

And honestly? We’re here for it!

Right now, V3.2 is available on both the app and web, while V3.2-Speciale is API-only for now.

Want the full details? Check it out here.

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Alright team, let’s talk about Google…

Because they’re low-key building the most personally aware AI on the planet — and honestly, nobody is ready for how deep this goes.

Imagine asking Gemini for a dinner spot and it hits you with a recommendation so accurate you’re like: “Wait… how did you know I’ve been on a Thai food kick?”

Oh right — because it scanned your Gmail receipts, your Maps history, and that 2AM calendar reminder you swore nobody would ever see.

And here’s the twist: Google’s real power move isn’t Gemini’s intelligence… It’s the massive, messy, ridiculously detailed archive it already has on you.

Robby Stein, Google Search’s VP of Product, basically spelled it out: Google wants an AI that doesn’t just answer questions — it understands your entire life context.

Not “top 5 running shoes”… but: “Hey, based on your Gmail receipts and that late-night ‘arch support’ search, here are three shoes your knees will thank you for.”

Forget vague “weekend ideas.” Think: “Your Photos say you love mountains, your Calendar is wide open, and here are cabins in the exact region you always return to.” 

It’s incredible. And also… a tiny bit spine-tingly.

Because to anticipate your needs that well, Gemini has to sift through everything — emails, documents, photos, searches, location trails, and all the little breadcrumbs in between. That friend is where the vibe shifts from “helpful assistant” to: “Google is in the room taking notes even when you’re not talking.”

And if you're in Web3 or privacy circles? Yeah… this feels like the final boss of centralization.

Google’s stance is: Don’t worry, you can control what Gemini sees through “Connected Apps,” and we’ll label personalized actions, which is nice… until you realize opting out gets harder as AI becomes the glue holding their entire ecosystem together.

So here’s the reality:

So, if you’re privacy-minded, here’s how to keep your digital footprint from getting too spicy:

The bottom line?

Google’s advantage isn’t just Gemini. It’s you — your habits, your patterns, your history.

And the real question is: How much of that are you cool with trading for convenience?

Because the future of search isn’t about what the AI knows… It’s about how much we’re willing to let it know about us.

Not all AIs handle coding prompts the same way.

We tested ChatGPT, Gemini, and DeepSeek on a Python task to see which AI produces correct, efficient code and explains it clearly.

For anyone learning to code or automating tasks, knowing which AI delivers both accuracy and understandable guidance is key.

How to Make This Prompt Work Effectively

PS: The live side-by-side comparison of ChatGPT, Gemini, and DeepSeek tackling this task is exclusive to our premium subscribers. If you want in on the AI coding showdown, now’s the time to upgrade.

⚡ Prompts to try:

P.S. Each Workout of the Day (WoD) is powered by original prompts written by our team — no recycled or external templates here. That means lower risk of prompt injection or manipulation, and higher trust in what you’re creating.

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