2025-08-09
Yet another study doubts that LLM reasoning shows true logic over pattern imitation
A new study from Arizona State University questions whether large language models can truly "think" like humans, suggesting their apparent reasoning is just pattern-matching that quickly breaks down when faced with unfamiliar data.
The article Yet another study doubts that LLM reasoning shows true logic over pattern imitation appeared first on TH [...]
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2025-10-08
Samsung AI researcher's new, open reasoning model TRM outperforms models 10,000X larger — on specific problems
The trend of AI researchers developing new, small open source generative models that outperform far larger, proprietary peers continued this week with yet another staggering advancement.Alexia Jolicoe [...]
2025-10-09
Nvidia researchers boost LLMs reasoning skills by getting them to 'think' during pre-training
Researchers at Nvidia have developed a new technique that flips the script on how large language models (LLMs) learn to reason. The method, called reinforcement learning pre-training (RLP), integrates [...]
2025-10-08
AI21’s Jamba Reasoning 3B Redefines What “Small” Means in LLMs — 250K Context on a Laptop
The latest addition to the small model wave for enterprises comes from AI21 Labs, which is betting that bringing models to devices will free up traffic in data centers. AI21’s Jamba Reasoning 3B, a [...]
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 [...]
2025-07-04
Apple's claims about large reasoning models face fresh scrutiny from a new study
A replication study of Apple's controversial "The Illusion of Thinking" paper confirms some of its main criticisms, but challenges the study's central conclusion.<br /> The a [...]
2025-06-16
New study supports Apple's doubts about AI reasoning, but sees no dead end
Researchers at New York University have presented RELIC (Recognition of Languages In-Context), a new test that examines how well large language models can understand and implement complex, multi-part [...]
2025-10-08
New memory framework builds AI agents that can handle the real world's unpredictability
Researchers at the University of Illinois Urbana-Champaign and Google Cloud AI Research have developed a framework that enables large language model (LLM) agents to organize their experiences into a m [...]
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 [...]
2025-09-30
Meta’s new CWM model learns how code works, not just what it looks like
Meta’s AI research team has released a new large language model (LLM) for coding that enhances code understanding by learning not only what code looks like, but also what it does when executed. The [...]