The Rise of Tiny AI: Samsung's TRM Surpasses Billion-Parameter Models

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  The Rise of Tiny AI: Samsung's TRM Surpasses Billion-Parameter Models This week marked a profound shift in the AI landscape as unexpected developments unfolded across the tech sector, highlighting the remarkable advancements in artificial intelligence. Notably, Samsung's latest innovation, the Tiny Recursive Model (TRM), has astounded experts by decisively outperforming multi-billion parameter models like Gemini and DeepSeek. This article delves into the implications of this accomplishment, alongside other significant breakthroughs that are shaping the AI field today. The Tiny Recursive Model: A Game-Changer in AI Reasoning Samsung's research lab in Montreal has unveiled the **Tiny Recursive Model**, accommodating a mere *7 million parameters*. This model achieved impressive scores of **44.6%** and **8%** on the ARC AGI1 and ARC AGI2 tests, respectively. In stark contrast, its larger counterparts fell short, as DeepSeek's R1 garnered **15.8% and 1.3%**, while Gemini ...

Albania Makes History: The World’s First AI Minister

 



Albania Makes History: The World’s First AI Minister

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When we talk about artificial intelligence, most of us think of chatbots, robots, or futuristic tools. But Albania has just taken a step that nobody saw coming—it has officially appointed an AI Minister. Yes, a machine is now part of the government cabinet.

This decision is being called revolutionary. The role of this AI entity, named Diella, is to monitor public procurement—basically the process where governments purchase goods and award contracts. In Albania, like in many other countries, this area has often been criticized for corruption, favoritism, and inefficiency. The hope is that Diella can bring fairness, accuracy, and transparency into a system where human bias has always been a problem.

Why Procurement?

Public procurement is where big money flows. Construction projects, supply deals, IT systems—billions get spent here. That’s also where political connections and favoritism sneak in. By letting an AI handle these decisions, Albania wants to:

  • Block nepotism and “friends of friends” deals.
  • Keep every step of the process visible and traceable.
  • Reduce costly mistakes that happen when decisions are made emotionally or politically.

But Here’s the Catch

This move is not without risk. Technology today is powerful, but not flawless.

  • Who’s responsible if AI fails? If Diella awards a contract that later turns out to be problematic, who gets the blame? The programmers? The government? Or the AI itself?
  • Can AI understand nuance? Numbers and rules are easy. But procurement often involves social and political judgment that algorithms may not fully grasp.
  • Human oversight is essential. Experts say AI should support decisions, not replace human judgment entirely.

A Signal to the World

Love it or hate it, Albania’s move sends a strong message. This is not just about one country—it’s about how governments worldwide might use AI in the near future.

If it works, it could inspire others to adopt similar systems, especially in regions struggling with corruption. If it fails, it will become a cautionary tale about relying too heavily on technology for governance.

Final Thoughts

Albania has opened a door no one thought would open this soon. An AI minister is no longer science fiction—it’s reality. The world will be watching closely to see if Diella can deliver what humans have often failed to: fairness, transparency, and accountability.

Whether this experiment succeeds or not, one thing is clear: the relationship between technology and governance has entered a completely new phase.

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