Recursive Superintelligence Raises $500M to Build Self-Improving AI
AI startup Recursive Superintelligence has raised $500 million from Nvidia and GV to pursue self-improving AI systems, despite having no public product.
An AI accelerator is a processor or hardware system optimized for the highly parallel mathematical operations used by machine learning models. GPUs, tensor processing units, neural processing units, and purpose-built inference chips are common examples. Compared with general-purpose processors, accelerators can increase throughput, reduce latency, or lower the energy required to train and run models. Their design may emphasize matrix multiplication, low-precision arithmetic, fast memory access, or communication between many chips. Choosing an accelerator depends on the model architecture, batch size, software support, deployment environment, power budget, and whether the workload involves training, real-time inference, or both.
AI startup Recursive Superintelligence has raised $500 million from Nvidia and GV to pursue self-improving AI systems, despite having no public product.
LinkedIn is testing a new platform that lets users earn up to $150 per hour training AI models. The move taps into fast-growing demand for human feedback in AI.
As John Ternus prepares to take over as Apple CEO, investors are demanding a clearer AI strategy. The company risks falling behind rivals investing heavily in AI.
Intel has joined Elon Musk’s Terafab project aimed at scaling AI chip production, though its exact role remains unclear. The effort targets massive compute output for AI and robotics.
Alibaba has unveiled a new CPU designed for AI agents, focusing on inference and customizable workloads. The chip reflects China’s push to build domestic AI infrastructure.
Elon Musk announced plans for Terafab, a dual chip factory project by Tesla and SpaceX to produce AI chips for vehicles, robots, and space-based data centers.
Nvidia CEO Jensen Huang said demand for Blackwell and Vera Rubin systems could reach $1 trillion by 2027, as the company unveiled new chips, racks, and AI infrastructure at GTC.
Nvidia CEO Jensen Huang will deliver the keynote at the GTC 2026 conference, where investors expect new AI product announcements and demand outlook updates.
Encyclopaedia Britannica and Merriam-Webster have sued OpenAI, alleging the company copied nearly 100,000 articles and dictionary entries to train ChatGPT without permission.
Amazon and Cerebras have partnered to combine their AI chips in a new AWS service designed to accelerate inference for chatbots, coding tools, and other generative AI applications.