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DeepSeek R1 updated censorship
And it can also run on 1 GPU... its scary good.
Hey there,
Today, we are going to talk about the recent updates of DeepSeek R1 and why you need to learn this specific skill to succeed in this AI era.
In today’s post:
DeepSeek: R1 update and criticism on the restrictions
AI era skills to learn
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What’s Trending Today
Breakthrough
DeepSeek’s latest AI is fast, smart, and tightly controlled

DeepSeek just released an upgraded version of its R1 reasoning model along with a lightweight variant that can run on a single GPU. Both are strong performers. But one is drawing as much scrutiny as it is praise.
Here’s what you need to know:
DeepSeek’s distilled model, R1-0528-Qwen3-8B, runs on just one 40GB GPU.
It beats models like Gemini 2.5 Flash on tough math benchmarks like AIME 2025.
It nearly matches Microsoft’s Phi 4 on HMMT, another advanced math test.
Despite being smaller, it’s designed for both academic and industrial use — and is freely available under an MIT license.
But the full R1-0528 model is raising red flags for another reason: censorship.
Independent testing shows it’s significantly more restricted in how it handles politically sensitive topics.
While it performs impressively across coding and reasoning tasks, it often echoes official Chinese government stances — especially on issues like Xinjiang and leadership critique.
Here’s what I think:
DeepSeek is doing what many open-source model labs can’t high reasoning, low hardware. But it’s also a case study in how political pressure shapes AI. The question now isn’t just “How smart is this model?” it’s “Who decides what it says?”
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Future
The skills that separate people from tools are now non-negotiable
AI isn’t replacing whole jobs, it’s slicing away parts of them. That means the real competition isn’t AI itself. It’s what humans bring to the table that machines can’t.
Here’s everything you need to know:
AI now handles first drafts, summaries, and repetitive tasks with ease.
That lowers the bar for “good enough” but not for standout work. The value of human input now lies in originality, sharp judgment, and asking better questions.
Empathy, communication, and leadership can’t be automated and matter more in digital teams. Relying on AI for everything risks a creative flatline: bland, average, forgettable.
The most useful people will treat AI as a co-pilot, not a crutch. Real leadership comes from knowing what the tools miss and filling those gaps with insight.
Here’s what I think:
We’re not in a battle with AI. We’re in a shift where being thoughtful, curious, and deeply human is more valuable than ever. The edge won’t go to those who automate the most but to those who know where automation ends and real thinking begins.
Learn how to be more adaptable.
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