When DeepSeek-R1 released back in January, it was incredibly hyped up. This reasoning model could be distilled down to work with smaller large language models (LLMs) on consumer-grade laptops. If you ...

The 66-year-old began his “Last Call: One More for the Road Tour,” in August. “I’ve been touring for over 30 years, you know, played everywhere in the country and parts of the world ...

X user "Jian" discovered that Manus appears to be using Claude Sonnet with access to 29 tools and the open-source software Browser Use. He found this by requesting the sandbox runtime code from Manus ...

AMES SHAPIRO, a Columbia University professor who is a William Shakespeare expert, on the finding of a variation of “Sonnet 116” that may have been in support of royalists trying to maintain ...

which concluded on Wednesday and drew over 66 crore people to Sangam - the meeting point of rivers Ganga, Yamuna, and mystical Saraswati. The Prime Minister said the massive gathering reflected a ...

It has only been a few hours since Anthropic unveiled its latest Claude 3.7 Sonnet AI model with some advanced capabilities, and it is already taking the Internet by storm. The company, on its ...

US-based artificial intelligence startup Anthropic on Monday launched a new large language model (LLM), Claude Sonnet 3.7, which it calls a “hybrid reasoning model”. This entails, for the first time, ...

(Bloomberg) -- Chevron Corp. is interested in buying Phillips 66’s stake in a chemicals joint venture that activist Elliott Investment Management LP is pushing the oil refiner to exit ...

Anthropic introduces Claude 3.7 Sonnet, an advanced AI with hybrid reasoning, excelling in coding and web development. Features include a step-by-step thinking mode, Claude Code tool, and API ...

Anthropic has released Claude 3.7 Sonnet, a highly-anticipated upgrade to its large language model (LLM) family. Billed as the company’s “most intelligent model to date” and the first hybrid reasoning ...

Anthropic’s newest flagship AI model, Claude 3.7 Sonnet, cost “a few tens of millions of dollars” to train using less than 10^26 FLOPs of computing power. That’s according to Wharton ...