mirendil

According to Bloomberg, AI startup Mirendil, founded by former Anthropic researchers, is negotiating a new round of financing, with a post-money valuation expected to reach $5 billion. Sources say that Kleiner Perkins is in talks to lead the round, which could bring in up to $1 billion in new funding, and Andreessen Horowitz is also in discussions to participate.Three months ago, Mirendil completed a $200 million seed round led by the aforementioned two firms, with a valuation of $1 billion. The company was established earlier this year and is dedicated to building self-improving AI models, with plans to launch a cutting-edge model early next year.

According to TechCrunch, AI research startup Mirendil has reached a multi-year partnership agreement with Google Cloud to gain large-scale computing resources to support its "self-improving AI" development.Mirendil co-founder and CEO Benham Neyshabur revealed that the total value of the agreement exceeds $100 million, which is about half of the $1 billion valuation seed round financing amount completed by the company at the end of June.Under the agreement, Mirendil will receive TPU and NVIDIA GPU computing resources provided by Google Cloud, as well as managed AI training clusters, to develop AI systems capable of continuously optimizing their own capabilities.It is reported that Mirendil is dedicated to developing "recursive self-improving" AI, which means AI systems can enhance their performance through continuous iteration, self-learning, and optimization. This direction is also a research area of interest for some of the top AI laboratories currently.

AI company Mirendil announced the completion of a $200 million seed round financing, led by a16z and Kleiner Perkins, with participation from institutions like NVIDIA.The founding team consists of 20 researchers and engineers from leading institutions such as Anthropic, xAI, Google DeepMind, and OpenAI. a16z stated that Mirendil is building a system that can assist anyone in AI research and development, training models with expertise in cutting-edge AI research fields, and creating products around it to form a self-sustaining system that can autonomously address engineering problems and continuously advance without human intervention.