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Ever felt frustrated by a seemingly clueless AI, wishing you could make it think before acting? Now, Anthropic has given AI a major brain upgrade! They've equipped their star model, Claude, with a groundbreaking 'think tool,' enabling it to handle complex tasks not by blindly rushing in, but by pausing to carefully consider its decisions, much like a human. This isn't just about slowing things down; it's about...

Manus, an AI Agent product from Chinese startup Monica, has recently gained traction on X. Its founder, Ji Yichao, today shared further technical details via social media. According to Ji, Manus is built upon Alibaba's Qwen large language model and leverages various fine-tuned models to achieve its unique functionalities. This revelation has sparked industry discussion regarding Manus's technological origins and further ignited global AI community interest in its potential.

According to research by AI company Anthropic, only about 4% of jobs use AI for more than 75% of their work. The study explores the usage of its Claude model and finds that around 36% of jobs incorporate AI in at least 25% of their tasks. These findings align with previous reports, indicating that few companies fully embrace this technology. Image source note: The image is generated by AI, and the image is provided by the AI service provider Midjourney seeking AI assistance.

Typing Mind is a third-party tool designed to provide users with a better ChatGPT experience. Created by independent developer Tony Dinh, it supports various large models, including OpenAI's GPT and Anthropic's Claude. It features basic functions such as chat sessions, multi-session lists, and prompt templates, and it is convenient to use as it requires no installation. This tool also supports private deployment, offering data privacy protection, and its commercial...

Recent research indicates that the most advanced AI chatbots on the market are surprisingly sensitive to simple tricks, making them easy to 'jailbreak.' According to a report by 404 Media, the developers of the Claude chatbot, Anthropic, found that by intentionally introducing spelling errors into the prompts, these large language models can be led to ignore their own safety mechanisms and generate content they are supposed to refuse. Image source note: Image generated by AI, image licensed by service provider Midjourney.

The competition among tech giants in the AI field is becoming increasingly intense, and a recent revelation has once again brought the undercurrents of industry rivalry to the forefront. According to internal communications obtained by TechCrunch, contractors responsible for improving Google's Gemini AI model have been comparing its outputs with those from Anthropic's competing model, Claude. This move has raised concerns about whether Google obtained authorization from Anthropic to use Claude for testing, questioning the compliance of their actions in the tech industry.

Internal communications obtained by TechCrunch reveal that Google is having contractors compare its Gemini AI with Anthropic's Claude, raising questions about compliance. Documents show that contractors responsible for improving Gemini need to evaluate the quality of responses from both Gemini and Claude within a 30-minute timeframe based on criteria like accuracy and detail. Recently, contractors discovered explicit mentions of Claude on Google's internal evaluation platform, including 'I am Cl'

Recently, Anthropic and Hume AI launched an innovative voice interaction technology aimed at achieving human-computer interaction in a more natural and emotionally intelligent way. This technology combines Claude's natural language processing capabilities with EVI2's emotional recognition functions, providing new ideas for digital assistant interaction models. The core technology, EVI2, can detect subtle emotional cues in user speech and adjust the interaction accordingly. Compared to traditional voice assistants, this system significantly enhances the fluidity and personalization of interactions.

In the current field of artificial intelligence, precise control over language models has become crucial for developers and data scientists. Anthropic's Claude language models provide users with numerous possibilities, but effectively managing token usage remains a challenge. To address this issue, Anthropic has launched a brand new token counting API aimed at providing deeper insights into token usage, thereby enhancing the efficiency and control of interactions with language models. Tokens play a role in language models.

Recently, Palantir announced a partnership with Anthropic and Amazon Web Services (AWS) to develop the Claude Cloud Platform for use by the U.S. government’s defense and intelligence sectors. According to the announcement from the three companies, this collaboration will integrate Claude 3 and 3.5 into Palantir’s artificial intelligence platform, which will be hosted on AWS. Notably, Palantir and AWS have already received approval from the U.S. Department of Defense.