2025-04-05
A new Anthropic study suggests language models frequently obscure their actual decision-making process, even when they appear to explain their thinking step by step through chain-of-thought reasoning.
The article Anthropic study finds language models often hide their reasoning process appeared first on THE DECODER.
[...]2025-10-02
IBM today announced the release of Granite 4.0, the newest generation of its homemade family of open source large language models (LLMs) designed to balance high performance with lower memory and cost [...]
2025-06-07
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
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 [...]
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DeepSeek continues to push the frontier of generative AI...in this case, in terms of affordability.The company has unveiled its latest experimental large language model (LLM), DeepSeek-V3.2-Exp, that [...]
2025-04-22
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 [...]
2025-05-27
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 [...]
2025-06-03
Reddit will now allow its users to do something it never before has permitted: to selectively "curate" their public-facing profiles by hiding some of their posting and commenting activity fr [...]
2025-08-14
This past spring, Anthropic introduced learning mode, a feature that changed Claude's interaction style. When enabled, the chatbot would, following a question, try to guide the user to their own [...]
2025-05-19
Large language models (LLMs) can make good decisions in theory, but in practice, they often fall short.<br /> The article Large language models often struggle with decision-making — a new stud [...]