Every published Top AI Stories item tagged with Reflection AI, newest first.
Nvidia is in early talks to deepen its investment in Reflection AI or acquire it, the Financial Times reported on Saturday, days after the American lab unveiled Beam, its first open-weight model. One option is a deal where Nvidia hires Reflection's staff and licenses its technology instead of buying the company outright, which could avoid a long antitrust review. An agreement could come within weeks, the paper said, though the talks could also fall apart. Nvidia has already put about $800 million into Reflection, which was raising money in April at a pre-money valuation of $25 billion. Neither company commented. Reflection has said Beam's weights will be released later this month.
A day after Axios reported that Reflection AI was preparing an open model, the lab named it. Beam is a text-only mixture-of-experts model with 501 billion total parameters, 23 billion of them active at any one time, and a context window of one million tokens. Reflection says it matches Z.ai's GLM-5.2 on reasoning tests while using three to four times less computing power, and that Moonshot's larger Kimi K3 is still ahead on raw capability. The benchmarks have not been independently checked. The weights are not out yet. Reflection says they will follow later this month with a technical report and model card, and it opened an early-access waitlist in the meantime. It has not named a license, which will decide what businesses can actually do with the model. Reflection pitches Beam as a cheaper Western rival to DeepSeek and Qwen.
Reflection AI, the American lab founded by two former Google DeepMind researchers, is getting ready to release its first open-weight model soon, Axios reported on October 4, citing people familiar with the plans. The model is expected to trail the leading closed systems from OpenAI, Anthropic and Google at first, but to compete with the strongest Chinese open models such as DeepSeek and Qwen. No name, date or license has been announced, and Reflection declined to comment. The lab has raised more than $2 billion without shipping a model, and this summer it signed large compute deals with SpaceX and Nebius to rent Nvidia servers. Its longer-term pitch is an "AI factory": a company combines its own data, Reflection's models and its own computing power to build a cheaper private system, an idea it is already testing with South Korea's Shinsegae Group. Axios also reports that other Western labs plan open-weight releases this month.
Reflection, the American open-weight AI lab founded by two former DeepMind researchers, agreed to spend $1 billion for access to Nvidia's latest GB300 chips through 2029, hosted by European infrastructure provider Nebius. The deal follows a similar compute pact with SpaceX weeks earlier, as Reflection, valued at $8 billion, races to train open alternatives to OpenAI and Anthropic. Backers of the startup include Nvidia, Sequoia, and Lightspeed.
SpaceX agreed to lease AI computing capacity to Reflection AI, an open-source lab founded by former Google DeepMind researchers, for $150 million a month from July through 2029 — up to $6.3 billion in total. Reflection gets Nvidia GB300 chips at SpaceX's Colossus 2 data center near Memphis, Tennessee, the facility xAI built before folding into SpaceX. It joins much larger SpaceX compute deals with Anthropic and Google, turning the company's spare chip inventory into a fast-growing leasing business.
Axios reports that the Genesis Mission — the federal scientific-research push launched late last year to fuse quantum computing with AI — has selected Reflection AI as the foundational intelligence layer for the Department of Energy's 17 national laboratories. Reflection's customizable open-source models will run on DOE compute and be deployed across active research projects. CEO Misha Laskin framed the choice as a policy bet, telling Axios *"you can't do scientific discovery on a closed model"* — a deliberate counterpoint to the NSA's Anthropic contract that the White House cleared yesterday.