DeepSeek is free but censored

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Welcome, Prohumans.

Here’s what you’re going to explore in this post:

  • DeepSeek: A powerful censored chabot

  • AI agents: Automating the wrong things

  • AI’s black box

  • Best AI tools to use right now!

Latest in AI…

DeepSeek: The AI That Knows, But Won’t Say a Word

The hype around DeepSeek has been wild lately. This Chinese AI model available in two versions, DeepSeek V3 and R1 claims to rival the best from OpenAI, Google, and Meta, all while being dirt cheap. We’re talking 1/20th of the cost. On the surface, it sounds like a win: high-quality AI for a fraction of the price.

But if you scratch beneath the surface, things get weird and fast.

Let’s address the elephant in the room: censorship.

DeepSeek doesn’t just avoid “controversial” questions about China. It actively knows the answers, writes them out, and then erases them. Literally. Ask it about topics like Taiwan’s sovereignty, the 1989 Tiananmen Square massacre, or the Uighur human rights crisis in Xinjiang. It’ll start with a factual response, only for the answer to vanish moments later. What pops up instead? A non-answer like, “Sorry, let’s talk about something else.”

This isn’t accidental or some software glitch. It’s deliberate censorship. And here’s the kicker it’s completely one-sided. If you ask about sensitive topics in other countries, DeepSeek has no problem giving detailed answers. Tiananmen Square? Silence. Jallianwala Bagh? A full explanation. This isn’t a chatbot being neutral; it’s a tool with an agenda.

But censorship isn’t the only issue.

The whole “budget AI” claim doesn’t add up. DeepSeek supposedly cost just $6 million to develop. That sounds impressive until you realize the Chinese government has strict GPU import restrictions thanks to sanctions. How exactly did they build a state-of-the-art large language model (LLM) with limited access to critical hardware? Even if you could trim costs here and there, $6 million for a model that beats Google and Meta’s AI? Let’s just say it’s a hard sell.

And what about the long-term risks?

When an AI model is programmed to censor or subtly push ideologies, it’s not just about skipping controversial answers. It shapes how users think. Ask it philosophical or moral questions, and instead of global perspectives, you might get outputs that quietly lean into Chinese values and viewpoints. You wouldn’t even notice it happening.

Now, let’s say you’re a developer or a business thinking of integrating DeepSeek into your app. Are you willing to risk trust issues with users? Because once people figure out an AI is biased, they stop relying on it. And for everyday consumers? It’s the same story. If an AI can’t be transparent, it’s hard to take it seriously as a source of truth.

So, is DeepSeek “bad” tech? No. Its models are reportedly excellent at reasoning and answering general queries. But the bias built into its system is a feature, not a bug. And that makes it dangerous.

Here’s the bottom line:

DeepSeek might be cheap, but its cost goes beyond dollars. It comes with risks of censorship, influence, and mistrust. So before you jump on the hype train, ask yourself: Is saving a few bucks worth getting an AI that only tells you what it’s allowed to say?

Are AI Agents Really a Thing We Need?

The story in simple terms:

Do you actually want an AI assistant booking your dinner reservations or finding you a rental car? Probably not. But companies like OpenAI are betting big on “agents” like their new tool, Operator, to automate tasks you likely don’t need help with.

Operator can handle requests like finding cheap rental cars, boutique hotels, or camping spots all while connecting to various services like Priceline or Booking.com. But let’s get real: Isn’t Google search already doing this just fine?

A few head-scratchers:

  • Why would businesses give up direct customer contact to be part of Operator’s ecosystem?

  • Will these AI tools complicate tasks that humans could easily manage?

  • And let’s not forget the ethical dilemma of wasting energy on tasks that don't really need automation.

Here’s what we think:

AI agents like Operator feel more like a shiny solution looking for a problem. Sure, they have their niche uses, but for most of us, a browser and five minutes work just fine. Sometimes, tech doesn’t need to reinvent the wheel it just needs to sit this one out. (fyi, I like the Jarvis idea!)

Why Nobody Knows What’s Really Going on Inside AI

The story in simple terms:

Imagine watching a master chef cook you see the ingredients and the final dish, but the “how” remains a mystery. That’s kind of what’s happening with AI right now. Even the developers building tools like ChatGPT or DALL-E can’t fully explain how these models decide what to say or create.

Here’s why this matters:

  • AI systems train themselves on massive data, finding patterns. But their internal decision-making remains a “black box.”

  • Companies aren’t sharing their training data, keeping researchers in the dark.

  • The cost to study AI independently is so high that most academics are locked out.

What’s the real issue?

It’s not just about decoding how AI works—it’s about transparency in how companies use it. Without openness, we’re left guessing about AI’s societal impact, ethical risks, and decision-making process.

Here’s what we think:

AI breakthroughs shouldn’t just be about flashy capabilities. True progress happens when we understand how these systems work, share the knowledge, and ensure they benefit everyone not just tech giants. I don’t know if you are interested in code but I’m. Just show me.

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