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Google, Gemini and DeepSeek

TechCrunch on MSN · 5d

DeepSeek may have used Google’s Gemini to train its latest model

Chinese lab DeepSeek released an updated version of its R1 reasoning AI model that performs well on a number of math and coding benchmarks. The company didn’t reveal the source of the data it used to train the model,

Tempo.co English · 4d

DeepSeek Allegedly Use Google's Gemini to Train Its Latest AI Model

DeepSeek has been accused several times of training AI with competitor's model data. Previously involving OpenAI's ChatGPT, now it's Gemini Google.

Analytics Insight · 3d

Is DeepSeek’s New AI Powered by Google’s Gemini Model?

Key Takeaways DeepSeek’s R1-0528 update reduced hallucinations by 45–50% and now rivals Gemini 2.5 Pro in reasoning tasks.Developers claim R1-0528 mimics Gemini

6don MSN

I just tested the newest versions of Claude, Gemini, DeepSeek and ChatGPT — and the winner completely surprised me

You think you know which AI is best — until you see how they actually perform. I tested them all, and the result surprised me ...

2d

DeepWho? DeepSeek rolled out even more powerful, cheap AI tech. If you missed it, you're not alone.

DeepSeek's latest R1 model update brings enhanced performance at a low cost. The tech industry doesn't really care this time.

3d

Google claims Gemini 2.5 Pro preview beats DeepSeek R1 and Grok 3 Beta in coding performance

Google said the newest version of Gemini 2.5 Pro, now on preview, gives faster and more creative responses while performing ...

6hon MSN

I challenged Gemini Live vs ChatGPT in 5 voice challenges — there was one clear winner

My favorite chatbots offering hands-free assistance are ChatGPT with Voice and Vision and Google’s Gemini Live. I use them ...

9d

DeepSeek releases new version of its R1 reasoning AI model

The new version can reportedly perform on par with competitors such as o3 from OpenAI and Gemini 2.5 Pro from Google.

10d

DeepSeek R1-0528 arrives in powerful open source challenge to OpenAI o3 and Google Gemini 2.5 Pro

Additionally, the model’s hallucination rate has been reduced, contributing to more reliable and consistent output.

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