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Fun and (Video) Games With Google’s Gemini 3 AI Model


Business Insider’s amazing Google reporter Hugh Langley has been playing (er… working) with Google’s new Gemini 3 AI service this week.

This is the latest big AI model release, competing with OpenAI’s GPT-5, xAI’s Grok 4, and the latest offerings from Anthropic.

Gemini 3 is getting good reviews so far. So good that Google shares hit a record on Wednesday, putting the company’s market value very close to Microsoft.

Here are Hugh’s initial thoughts, after trying Gemini 3 out for a day or so:

“I think where Gemini 3 is most impressive—and where it’s already grabbing attention—is its ability to create new things from whole cloth, thanks to improved multimodal and coding capabilities.”

Gemini 3 is particularly good at designing interactive simulations. That could be interesting for visual learning, building websites and apps, or just having fun, Hugh told me.

He played with this new model in a Google sandbox called AI Studio. It’s like a real sandbox, but for developers. And it’s digital, giving access to Google’s AI offerings via the internet. There’s no real sand.

Hugh started with something basic: an interactive website about elephants.

“I asked Gemini to include lots of fun widgets and trivia about the animal, but little else. I wanted to see how much Gemini would fill in the gaps.”

While the overall website design was a little sparse, it delivered. Hugh liked this little widget that generated a fun elephant fact every time he pressed a button.


A screenshot from Gemini 3

A screenshot from Gemini 3

Hugh Langley/Google Gemini 3



“It also included a mini game where I had to feed the elephant by giving it peanuts,” Hugh said. “Once I filled the bar, a pop-up message informed me the elephant was now happy, so that’s nice.”


A screenshot from Gemini 3

A screenshot from Gemini 3

Hugh Langley/Google Gemini 3



Being able to visualize complex ideas is an area where AI could be particularly useful. Hugh asked Gemini 3 to create an interactive website to explain photosynthesis.

“Gemini generated some sliders to adjust the levels of sunlight, water and carbon dioxide that were floating around as different colored particles,” he said. “If I got the balance correct, it told me I had successfully created energy!”

Hugh hadn’t generated energy. In fact, that Gemini 3 model run probably sucked up quite a bit of power. Still, pretty impressive.


A screenshot from Gemini 3

A screenshot from Gemini 3

Hugh Langley/Google Gemini 3



Other Gemini 3 users are creating interesting new things. Hugh liked this idea to have Gemini build a Lego creator, through a simple prompt such as “Create a 3D Lego builder. Let me select different shapes of brick.”

Here’s an example. Hugh was able to replicate his own version.

Then, there are all the video games that users are getting Gemini 3 to create. Jeff Dean, one of Google’s top AI researchers, posted several clips of these games.

Hugh gave this a shot, too. This required a bit more back-and-forth with Gemini to get right.

He wanted to make “Super Dario Land,” a game where the player has to get Anthropic CEO Dario Amodei into the correct warp pipe. If they succeed, the player is rewarded with AGI (the theoretical moment when machines outperform humans on most tasks).


A screenshot from Google Gemini 3

A screenshot from Google Gemini 3

Hugh Langley/Google Gemini 3



Hugh asked Gemini to style it like one of Nintendo’s old Game Boy games.

“At first, Dario couldn’t jump high enough, so I asked Gemini to fix that,” Hugh told me. “With one extra prompt, the physics were solved!”

The game was very quickly playable as Gemini did the work of mapping the controls to Hugh’s computer keyboard without any direction from him.

“The game itself might not be a hit, but I’m leaving the door open for a sequel. Dario, call me!” Hugh said.

If anyone wants to play Hugh’s game, send him an email at [email protected]. It’s fun!

Sign up for BI’s Tech Memo newsletter here. Reach out to me via email at [email protected].





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