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Learning to Route LLMs from Bandit Feedback: One Policy, Many Trade-offs – Takara TLDR

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Reflection AI lands $2B at $8B valuation to expand frontier AI infrastructure and safety research

By Advanced AI EditorOctober 12, 2025No Comments3 Mins Read
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Artificial intelligence startup Reflection AI Inc. revealed today that it has raised $2 billion in new funding to scale up its open-source frontier AI models, expand global infrastructure and research teams and invest in safety, evaluation and responsible deployment.

According to The New York Times, the round was raised on a valuation of $8 billion, significantly up from the $545 million the company was valued it in March when it launched with $130 million in funding.

Founded in 2024, Reflection AI was created by ex-Google DeepMind researchers Misha Laskin and Ioannis Antonoglou with a mission to build super-intelligent, autonomous systems starting from AI agents that can write, debug and optimize code.

Reflection AI is developing autonomous coding agents rather than simple “copilot” tools, systems that not only suggest code but also reason over entire software systems, iterate, test, refactor and even manage infrastructure.

The company’s first autonomous coding agent, called Asimov, launched in July and is designed and built with a view to achieving “super intelligence” much faster. Asimov is trained to understand how software is created by ingesting not only code but the entirety of a business’ data to try to piece together why an application or system does what it does.

To power the agents, Reflection AI is building and maintaining a training stack combining large language models with reinforcement learning and specialized architectures such as mixture-of-experts models to scale up agentic reasoning at frontier levels.

The company emphasizes openness, transparency and safety with an approach that frontier intelligence should not be locked behind closed labs but accessible, auditable and governed by community norms, with investment in capability evaluation, security research and responsible deployment.

Reflection AI views autonomous coding as a “root node” in that by mastering software itself, users can bootstrap higher forms of automation and intelligence. In other words, Reflection sees tools that build tools as an essential stepping stone toward more general, self-improving AI.

Nvidia Corp. led the round, with Lightspeed Venture Partners LP, Sequoia Capital Operations, DST Global LP, former Google LLC Chief Executive Eric Schmidt and 1789 Capital also participating.

Image: Reflection AI

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