???? AI Just Changed Forever (And Nobody's Talking About It)
There's a secret test that exposes every AI's weakness. ChatGPT? 0%. Claude? 0%. Google's Gemini? A pathetic 8%. But a NEW type of artificial intelligence just emerged that doesn't predict words—it actually THINKS. And it's already outperforming humans on tasks we thought were impossible.
In this video, I break down the rise of Large Reasoning Models (LRMs)—the next evolution beyond ChatGPT and traditional Large Language Models. You'll discover:
✅ Why current AI models are just "smart autocomplete" (and their fatal flaw)
✅ The ARC-AGI test that breaks every AI system
✅ How OpenAI's o3, Google's Gemini 2.5, and DeepSeek-R1 use "test-time compute" to actually reason
✅ MIT's breakthrough PaTH Attention technology that changes everything
✅ The shocking cost: $200 per task for maximum reasoning (but is it worth it?)
✅ Why enterprises could save $20-48 BILLION switching to reasoning models
✅ The brutal truth: even the best models still fail 92% of genuine reasoning tests
✅ What's next: quantum AI, neuromorphic chips, and the merge of deep learning + program synthesis
???? This changes everything about how we think about artificial intelligence, machine learning, and the path to AGI (Artificial General Intelligence).
#AI #ArtificialIntelligence #ChatGPT #OpenAI #MachineLearning #DeepLearning #LLM #ReasoningModels #TechNews #FutureTech
There's a secret test that exposes every AI's weakness. ChatGPT? 0%. Claude? 0%. Google's Gemini? A pathetic 8%. But a NEW type of artificial intelligence just emerged that doesn't predict words—it actually THINKS. And it's already outperforming humans on tasks we thought were impossible.
In this video, I break down the rise of Large Reasoning Models (LRMs)—the next evolution beyond ChatGPT and traditional Large Language Models. You'll discover:
✅ Why current AI models are just "smart autocomplete" (and their fatal flaw)
✅ The ARC-AGI test that breaks every AI system
✅ How OpenAI's o3, Google's Gemini 2.5, and DeepSeek-R1 use "test-time compute" to actually reason
✅ MIT's breakthrough PaTH Attention technology that changes everything
✅ The shocking cost: $200 per task for maximum reasoning (but is it worth it?)
✅ Why enterprises could save $20-48 BILLION switching to reasoning models
✅ The brutal truth: even the best models still fail 92% of genuine reasoning tests
✅ What's next: quantum AI, neuromorphic chips, and the merge of deep learning + program synthesis
???? This changes everything about how we think about artificial intelligence, machine learning, and the path to AGI (Artificial General Intelligence).
#AI #ArtificialIntelligence #ChatGPT #OpenAI #MachineLearning #DeepLearning #LLM #ReasoningModels #TechNews #FutureTech
- Category
- Artificial Intelligence
- Tags
- Artificial Intelligence, ChatGPT, OpenAI


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