Recursive
A startup focused on automating AI research. It developed Flint, a programming model designed with the participation of an AI research system, and works on early experiments in AI self-improvement.
Timeline (last 90 days)
The benchmark data published by Recursive needs to be interpreted with caution, as benchmarks usually target specific task sets and differ from real-world development scenarios.
Recursive released the local coding model Flint, with 40 billion total parameters and about 2.5 billion weights activated per token, under the Apache 2.0 license, with OpenHands as the launch partner.
AI startup Recursive released the open-source local coding model Flint, with 39.8 billion total parameters, about 2.5 billion activated per token, and development completed by a team of fewer than 4 months.
Recursive released its first model, Flint, built by the automated research system Eureka Machine and positioned as a fast local coding model.
Recursive released a local coding MoE model called Flint, with 40 billion total parameters, only 2.5 billion parameters activated per inference, context length support up to 512K, and an official recommendation of 256K for daily use.
Flint is a 40B MoE model for coding agents released by Recursive, with 2.5B active parameters, supporting reasoning, tool calling, and a 256K context.
Recursive released Flint, an Apache 2.0-licensed coding model.
Flint achieves a generation speed of 125+ tokens per second on an M4 Pro MacBook Pro.
Most of Flint's development process was completed by Recursive's own AI research system.
The original article does not detail which specific parts of Flint's R&D the AI system participated in (such as architecture search, training hyperparameter tuning, data filtering, or code implementation).
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All Facts (14)
The benchmark data published by Recursive needs to be interpreted with caution, as benchmarks usually target specific task sets and differ from real-world development scenarios.
50%UnverifiedFlint is a 40B MoE model for coding agents released by Recursive, with 2.5B active parameters, supporting reasoning, tool calling, and a 256K context.
50%UnverifiedFlint achieves a generation speed of 125+ tokens per second on an M4 Pro MacBook Pro.
50%UnverifiedRecursive is a startup that has released a coding model called Flint.
50%UnverifiedRecursive views Flint as an early test of AI self-improvement.
50%UnverifiedThe original article does not detail which specific parts of Flint's R&D the AI system participated in (such as architecture search, training hyperparameter tuning, data filtering, or code implementation).
50%UnverifiedFlint is a free coding model that can run locally on a laptop.
50%UnverifiedMost of Flint's development process was completed by Recursive's own AI research system.
50%UnverifiedRecursive released the local coding model Flint, with 40 billion total parameters and about 2.5 billion weights activated per token, under the Apache 2.0 license, with OpenHands as the launch partner.
50%UnverifiedAI startup Recursive released the open-source local coding model Flint, with 39.8 billion total parameters, about 2.5 billion activated per token, and development completed by a team of fewer than 4 months.
50%UnverifiedRecursive released its first model, Flint, built by the automated research system Eureka Machine and positioned as a fast local coding model.
50%UnverifiedRecursive released a local coding MoE model called Flint, with 40 billion total parameters, only 2.5 billion parameters activated per inference, context length support up to 512K, and an official recommendation of 256K for daily use.
50%UnverifiedRecursive released Flint, an Apache 2.0-licensed coding model.
50%UnverifiedRichard Socher spun out a new startup focused on RSI (Recursive Self-Improvement) from You.com, named Recursive.
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