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2025-05-27
How Phi-4-Reasoning Redefines AI Reasoning by Challenging “Bigger is Better” Myth
Microsoft's recent release of Phi-4-reasoning challenges a key assumption in building artificial intelligence systems capable of reasoning. Since the introduction of chain-of-thought reasoning in [...]
2025-04-05
The Rise of Small Reasoning Models: Can Compact AI Match GPT-Level Reasoning?
In recent years, the AI field has been captivated by the success of large language models (LLMs). Initially designed for natural language processing, these models have evolved into powerful reasoning [...]
2025-05-14
Compute scaling drives reasoning model gains but cannot last forever
Reasoning models like OpenAI's o3 are making rapid progress, especially on math and coding tasks. But how much further can this new training approach scale, and where might the limits be? A new a [...]
2025-02-18
xAI launches Grok 3 AI, claiming it is capable of 'human reasoning'
xAI has launched its Grok 3 models during a livestream with Elon Musk, who said they were "an order of magnitude more capable than Grok 2." The Grok 3 mini model can answer questions quickly [...]
2025-06-07
Apple study finds "a fundamental scaling limitation" in reasoning models' thinking abilities
LLMs designed for reasoning, like Claude 3.7 and Deepseek-R1, are supposed to excel at complex problem-solving by simulating thought processes. But a new study by Apple researchers suggests that these [...]
2025-04-22
So-called reasoning models are more efficient but not more capable than regular LLMs, study finds
A new study from Tsinghua University and Shanghai Jiao Tong University examines whether reinforcement learning with verifiable rewards (RLVR) helps large language models reason better—or simply make [...]
2025-04-21
Go read this to learn how reinforcement learning makes LLMs better at reasoning
AI researcher Sebastian Raschka has published a new analysis that looks at how reinforcement learning is used to improve reasoning in large language models (LRMs).<br /> The article Go read this [...]