On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside significantly larger models; it outpaces DeepSeek-V3.2, which scores 70.2%, and trails only slightly behind the 74.2% score of GLM-4.7.

If anyone can vibe code, imagine how many developers we can fire!

"We might be six to 12 months away from when the model is doing most, maybe all of what software engineers do end-to-end," CEO Dario Amodei says.

AI gadgets might be a collective flop so far, but that hasn’t stopped the companies that make them from continuing to try their hand. Rabbit, for its part in the AI gadget conversation, is taking another stab.

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Chetan Jaiswal does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment. Whether you’re streaming a ...

To teach someone a dance, you break it down into a series of moves, like, “Step left, step right, spin around, repeat.” With Mia & Codie, a new preschool series that aims to teach the basics of coding, takes a similar approach. Mia, an almost 8-year ...