Browsing: AI

Google Antigravity marks the beginning of the “agent-first” era, It isn’t just a Copilot, it’s a platform where you stop being the typist and start being the architect.

An AI method has accelerated and optimized chip design, with its superhuman chip layouts now utilized in hardware globally.

Google DeepMind and Google Research have launched Weather Lab, an interactive platform featuring an experimental AI-based tropical cyclone model. This model aims to significantly improve the accuracy of cyclone predictions, including formation, track, intensity, size, and shape, up to 15 days in advance. Partnering with the U.S. National Hurricane Center, the AI model demonstrates accuracy comparable to, and often exceeding, current physics-based methods, offering a substantial advancement in forecasting lead time for critical disaster preparedness.

AutoScout24, a leading European automotive marketplace, aims to establish a “Bot Factory.” This centralized framework is designed to create and deploy artificial intelligence (AI) agents capable of performing tasks and making decisions within various workflows, significantly boosting operational efficiency across the organization. The emergence of powerful generative AI agents presented a clear opportunity for AutoScout24 to enhance internal productivity, leading to the development of a standardized approach for AI development.

Amazon SageMaker AI introduces significant advancements to revolutionize AI development, model customization, and large-scale training. New capabilities include serverless model customization with advanced reinforcement learning, Amazon Nova Forge for building frontier models, elastic training for intelligent resource management, checkpointless training for minimizing recovery downtime, and serverless MLflow for enhanced observability. These features aim to accelerate AI development, reduce complexity, and improve efficiency for businesses looking to build highly customized and robust AI solutions.

Discover how significant performance gains in transformer inference are achieved, enabling 100x speedups for API customers. This article details optimization strategies, from leveraging efficient Hugging Face libraries to advanced hardware-specific compilation techniques, crucial for deploying large NLP models in production with minimal latency.

This article details OpenAI’s ongoing efforts to define and measure political bias in large language models like ChatGPT. It introduces a new evaluation framework, shares findings on model objectivity, and outlines future improvements, noting that GPT-5 models demonstrate reduced bias compared to earlier versions, particularly on emotionally charged prompts.

As the world grapples with a significant mental health crisis, artificial intelligence is emerging as a potential, albeit controversial, solution. New books explore the complex landscape of AI therapy, from its promise in alleviating suffering and professional burnout to profound concerns about privacy, exploitation, and the fundamental nature of human care.

Scientists are adopting biological and neurological approaches to study large language models (LLMs), treating them as vast, unknown entities rather than mere computer programs. This research is revealing unprecedented insights into how LLMs function, their limitations, and their often-unexpected behaviors.

The Gemini 2.5 family of models is expanding with the general availability of Gemini 2.5 Flash and Pro, alongside the introduction of 2.5 Flash-Lite, a highly cost-efficient and fast model.