Bostrom argues that a machine mind smarter than ours could lock in irreversible outcomes from poorly specified goals before anyone can correct course.

Finding a path through a maze is hard, even for quantum algorithms. A quantum computer can find the exit of a certain kind of ...

Read about Recursive’s Flint AI coding model, its laptop-friendly design, coding benchmarks, open-source license, and Eureka ...

Recursive has released Flint, an AI model for local coding agents. Drawing on the model card and vLLM implementation notes, we look at how its sparsely activated MoE design, 4-bit quantization, and ...

Startup Recursive has released Flint, a free, laptop-sized coding model built largely by its own AI research system, as an ...

For the past few days I’ve been testing an impressive open-weight AI coding model called Flint. It suggests that fully recursive self-improvement, or RSI—an exciting and controversial approach that ...

Construct a robust, adaptive system engineered to deliver sustained continuous self-correction and iterative self-renewal ...

The evolution of the harness layer represents a pivotal, technology-driven progression in modern engineering systems, ...

Anyone buried in searches, to-do lists, or clutter gets principled rules for when to stop, what to keep, and what to do first ...

The biggest risk with agentic AI may not be deliberate autonomy but the gradual accumulation of permissions, tools, and ...

When computer scientists use the ant metaphor, they usually mean it strictly in terms of raw computational and cognitive capacity. However, as a philosopher, you are highlighting the missing component ...

As AI companies warn of the dangers of self-improving AI, a new report offers a rare look at how they’re working to make it a ...