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.
[...]2025-01-22
Google has decided to invest another billion into Anthropic, four sources told the Financial Times, bringing its total sunk cost to more than three billion dollars. Both companies have declined to com [...]
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 [...]
2025-04-20
A new study from Anthropic examines how university students are using its language model Claude in daily academic work. The analysis reveals discipline-specific usage patterns and raises concerns abou [...]
2025-04-05
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 [...]
2025-04-19
A new study by the University of California, Los Angeles shows: GPT-4o produces impressive images, but fails at tasks that require real image understanding, contextual thinking and logical reasoning.& [...]
2025-04-02
According to a recent Digital Education Council survey, as many as 86 percent of university students globally use artificial intelligence to assist with their coursework. It’s a staggering statistic [...]
2025-02-18
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 [...]
2025-02-06
Less than a year into his tenure at the company, OpenAI co-founder John Schulman is leaving Anthropic. The startup confirmed Schulman’s departure after The Information, Reuters and other publication [...]