Open Models news

Anthropic says China’s GLM-5.3 can build cyber exploits

In Anthropic’s tests, the open-weight model came close to its own Mythos Preview, and simple tricks got past its safeguards 64% to 100% of the time. A US government test had rated it the most cyber-capable open model.

Anthropic said on September 29 that GLM-5.3, an open-weight model from the Chinese company Z.ai, can build working cyber exploits on its own. Its results came close to those of Anthropic’s Claude Mythos Preview. Because anyone can download the model, its safety rules can be removed. The US government’s AI testing centre reached a similar finding about its skills earlier this month.

Image AI maker Black Forest Labs released a robot model

It tops NVIDIA’s RoboLab-120 simulation leaderboard.

Black Forest Labs released FLUX 3 Action, a 7-billion-parameter model that turns camera images and text instructions into robot movements. It leads NVIDIA’s RoboLab-120 leaderboard with 42.9%. The weights are free for non-commercial use, and most speed and real-robot figures come from the company.

Gensyn made a small model whose training can be replayed

The speed cost is large.

Open-1b publishes checkpoints, data, code, and hashes for every training step. Gensyn says audits work across several kinds of hardware, while its reproducible runtime is about five times slower than an optimised system.

Mistral raised €3 billion

Now it must turn European trust into useful AI.

The French AI company reached a value above €21 billion after a new funding round. The money can buy more computing power, but it does not guarantee better models or lasting customers.

MiniCPM5-2B packs long-context AI into a much smaller model

OpenBMB released a 2.5-billion-parameter model for local and on-device use. It also shared much of its training data, but the strongest test results come from the model maker.

Goldman’s CIO says banks can use open AI models

The condition is four layers of safety controls.

Marco Argenti says companies should test models, protect the place where they run, limit agent permissions, and control data access. This is a proposed approach, not a public standard.

Nvidia wants to buy Hugging Face for $12.93 billion

Hugging Face is a major home for open AI models. Nvidia says it will keep the platform open to other chips and clouds, but users and regulators will watch closely.