AI Update: DeepSeek is Back! With R1’s Self-Improvement Breakthrough

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DeepSeek R1 just doubled its execution speed—but here’s the real kicker: 99% of the optimization was generated by the model itself. This wasn’t a routine software update; it was an AI-driven evolution.

We’re officially entering the era where AI isn’t just a tool—it’s learning how to improve itself.

Key Highlights:

✅ 200% speed improvement—without traditional manual optimization.
✅ Minimal human intervention—engineers only tested and fine-tuned prompts.
✅ Signals the rise of autonomous AI research—where models refine themselves.

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AI Evolution & Open-Source Acceleration

The AI landscape is changing fast. If GPT-4 is a smart high schooler, then models like DeepSeek R1 are approaching PhD-level intelligence. Open-source AI is accelerating at a pace that even proprietary labs struggle to control.

$3 AI Breakthrough: Smarter AI for Less

A new reinforcement learning technique (RLVR) just shattered AI training norms:
🔹 A 2-billion-parameter model outperformed a 72-billion-parameter model in just 100 training steps—for only $3.
🔹 RLVR enables AI to rapidly self-improve at well-defined tasks, cutting costs and training time dramatically.

This changes everything.

The Future: Networks of Specialized AIs

Rather than relying on massive general-purpose models, the future lies in smaller, expert AI agents that:
🔹 Specialize in different domains (finance, healthcare, coding, etc.).
🔹 Are dynamically routed based on the problem they need to solve.
🔹 Leverage RLVR to learn and optimize at unprecedented speeds.

AI is no longer static—it’s evolving in real time. And with breakthroughs like DeepSeek R1, self-improving AI is no longer a concept. It’s here!

Don’t miss Thursday’s Rundown!.

— ID Research Team

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