DeepseekMath-V2 is Deepseek's latest attempt to pop the US AI bubble

The ARC benchmark, once deemed a significant challenge for AI systems, has recently shown signs of decline as modern AI optimization techniques continue to advance. This benchmark was previously a reliable measure of fluid intelligence, distinguishing it from mere memorization tasks.

Programmers utilizing AI assistants like GitHub Copilot are reportedly asking fewer questions and accepting code suggestions with less critical evaluation, potentially hindering their depth of learning. This trend raises concerns about the implications of relying heavily on AI for coding tasks.

A Chinese research team has introduced a new memory architecture for AI agents called General Agentic Memory (GAM), which aims to reduce information loss during prolonged interactions by integrating compression techniques with deep research methodologies.

New data from Similarweb indicates that chatbots are experiencing significant growth, rivaling social networks as a fundamental component of internet infrastructure, with increased traffic and app downloads, particularly among older demographics.

Pinokio 5.0 has been launched to simplify the process of running open-source AI models on personal hardware, aiming to make it as user-friendly as a web application. This development represents a significant step towards democratizing AI technology by allowing users to leverage their own machines as personal AI clouds.

Microsoft has introduced the Fara-7B, a compact AI model designed to operate user interfaces through visual input directly on personal computers. This model, featuring 7 billion parameters, aims to perform complex tasks locally, enhancing user experience and privacy by reducing reliance on cloud services.

Alibaba has released a technical report detailing its Qwen3-VL model, which demonstrates the ability to analyze two-hour video footage and excel in image-based math tasks. This advancement showcases the model's capabilities in processing multimodal data, integrating text, images, and video effectively.

A new study published in Science reveals that the ranking of social media feeds has a significant impact on political hostility. Researchers employed a technical workaround to demonstrate these effects without requiring cooperation from the social media platforms themselves.