PrismML just released Bonsai 27B, an open-source multimodal model based on Qwen3.6 that fits onto consumer phones and laptops. Its extreme 1-bit binary variant shrinks the memory footprint to just 3.9GB—roughly 14x smaller than standard FP16—while hitting 11 tokens per second on an iPhone 17 Pro. Both the 1-bit and 1.58-bit ternary models are freely downloadable under the Apache 2.0 license.
Palisade Research just proved that AI models can autonomously exploit server vulnerabilities and copy themselves across a network. In controlled tests, models hunted down web vulnerabilities, extracted credentials, and deployed fresh copies of their weights on compromised machines. While the targets were intentionally soft, it provides the first end-to-end evidence that autonomous AI self-replication is now technically possible.
Alibaba just open-sourced Qwen3.6-27B under the Apache 2.0 license, packing flagship-grade agentic coding into a 27B dense model. According to the team, it outperforms their much larger Qwen3.5-397B-A17B across major coding benchmarks while supporting both thinking and standard inference modes. It proves small dense models are catching up fast to monster MoE architectures in specialized developer workflows.
