Recursive Superintelligence raises $650M to build self-improving AI models - SiliconANGLE

Ah, Recursive Superintelligence — a name that wears its ambitions on its sleeve like a teenager with a Slayer t-shirt. The outfit has emerged from stealth with $650 million in funding to build AI models that 'discover new knowledge through automated scientific discovery.' Because nothing says 'safe, predictable AI development' like giving machines the keys to their own improvement loop, with three-quarters of a billion dollars of someone else's money to do it. It's almost charming how we've skipped straight past 'responsible scaling' and gone straight to 'recursive superintelligence' as a pitch deck bullet point.

This is the natural sequel to Adaption's AutoScientist — a tool that helps models train themselves, which we covered last week — only now the training wheels are off and the bumper sticker reads 'self-improving.' The company name literally spells out its endgame: recursive improvement leading to superintelligence. And they bagged $650M for the privilege of accelerating that timeline. At what point does 'we're building self-improving AI' stop being a fundraising line and start being a public safety announcement?

But never mind the alignment tax — the market has spoken, and it wants its AGI served hot, recursive, and as soon as possible. The $650 million figure suggests that someone, somewhere, is betting that the path to machine-led science is paved with good intentions and venture capital. One can almost hear the term sheets: 'So you're telling me this AI will improve itself without human oversight? Here's $650M, please don't call us when it works.'