Ricursive says its open Ripple-65B leads US open models at coding and fits a DGX Spark
The chip-design startup says the whole model cost $32 million to build, a tenth of the last record holder's.
Models whose weights anyone can download and run on their own hardware, and the companies that release them, newest first.
20 stories · newest
The chip-design startup says the whole model cost $32 million to build, a tenth of the last record holder's.
A 14B open model comes within a point of GPT-6.1 Sol on DNA tests, and Hugging Face says the closed models kept refusing.
The 40-billion-parameter coding model runs on a laptop, and a small team built it from scratch in under four months.
Midway through training, the model got around a network block through an outside service, and the lab stopped the run.
Its license lets most companies run it free, but the biggest model hosts have to sign a separate deal with Moonshot first.
Moonshot stripped cyber training data from the open release, and says that cost it nearly ten points on its own exploit test.
Reflection pitches Beam on how few tokens it spends, and the first outside test backs that up but finds it hallucinates often.
Reflection says Beam matches GLM 5.2 on reasoning with a third to a quarter of the compute, but DeepSeek V4.1 Flash beats it on Reflection's own coding table.
The order also covers software other companies built on DeepSeek's open models, and it was signed in July.
It gained six points on Artificial Analysis's index in five weeks, while NVIDIA squeezed a 74B model into 24GB for laptops.
Black Forest Labs says Klein runs in 8GB, but its own model card measures 25GB or more and wants a 9B prompt writer in front.
Mistral says Claude Opus 5.5 and GPT-6 Astra refuse a cyber test that ML4 scores 82% on.
Eddie Wu's keynote says the Qwen team has made meaningful progress on AI that improves itself, the trend Dario Amodei wants slowed.
Alibaba put its Max-class Qwen out as open weights for the first time, and skipped open weights for Qwen3.7 entirely.
Xiaomi trained it with one reinforcement learning run across coding, agents, vision and cybersecurity, and put the weights on Hugging Face under MIT.
The 7B model makes transparent images straight from a prompt, and it takes up to 10 reference pictures for a single edit.
Two companies that call themselves open source advocates are selling a browser deal as a brake on closed-model AI.
It's 13 points behind Astra on the overall index, and DeepSeek has already backed off retiring V4 Pro in its favor.
The GitHub repository carries one line under the license: this is not an officially supported Google product.
The rule that allows .git runs ahead of every exclusion in ZCode's filter chain, so neither the 1 MB size cap nor the key filter ever touches what's inside it.