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OpenAI’s GPT-6 Astra may be its most advanced LLM yet, but calling it AGI raises a fundamental question: does better language prediction equal artificial general intelligence?

Move beyond chatbots. Cognitive architectures are transforming language models into true agents—equipped with memory, reasoning, and goal-driven action to shape the real world.

AI agents no longer forget. EvoSC’s self-consolidation lets them learn from successes and failures, turning experience into lasting intuition — without memory overload.

CoALA reimagines LLMs as intelligent agents with memory, actions, and decision loops, enabling real-world interaction, learning from experience, and moving far beyond static chatbot capabilities.

As AI floods us with fluent content, hallucinations hide in confident lies. The skill AI can't replace is knowing when it's wrong—and verifying every claim.

Traditional benchmarks can no longer measure advanced AI. Learn how the new FrontierScience benchmark tests if models are truly reasoning using Olympiad and research challenges.

What happens when AI trains itself? DeepSeek-R1 defies convention, mastering complex reasoning through self-evolution. Here’s why it could reshape the future of large language models.

A small model outsmarts the giants. Microsoft’s rStar-Math rewrites the rules of AI math reasoning—no teacher models, just smart self-training and Monte Carlo strategy.

Beyond parroting answers, Meta-CoT teaches AI to reason—mapping dead ends, correcting itself, and thinking like a human faced with a maze of logic.

Discover why Transformers—the engines behind ChatGPT and Gemini aren’t just smart hacks but mathematically guaranteed “Universal Approximators,” capable of mastering any language task, unlocking simpler, faster, and more efficient AI possibilities.