
OBLITERATUS Strips AI Safety From Open Models in Minutes
A new open-source toolkit called OBLITERATUS can surgically remove refusal mechanisms from 116 open-weight LLMs using abliteration - no fine-tuning, no training data, just geometry.
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A new open-source toolkit called OBLITERATUS can surgically remove refusal mechanisms from 116 open-weight LLMs using abliteration - no fine-tuning, no training data, just geometry.

Arc Institute and NVIDIA release Evo 2, a 40B-parameter open-source AI trained on 9.3 trillion nucleotides from every domain of life, with full weights, code, and training data.

A new 501(c)(3) nonprofit backed by the creators of curl, Vue.js, and HashiCorp is building the world's first permanent endowment for open source as AI-generated junk submissions push maintainers to the breaking point.

Kimi K2.5 leads every coding benchmark, but Qwen3.5-35B-A3B delivers 87-93% of that performance at 3-4x lower cost and runs on a single consumer GPU. Here is the full breakdown.

Inception Labs' Mercury 2 hits 1,196 tokens per second in independent testing - a diffusion architecture that rewires how inference works.

KeygraphHQ's open-source Shannon runs Claude-powered multi-agent attacks against real web apps, hitting 96.15% on the XBOW benchmark and finding 30+ flaws in OWASP Juice Shop.

Zhipu AI's GLM-5 is a 744B MoE model with 40B active parameters, trained on 100K Huawei Ascend chips, scoring 77.8% SWE-bench and 50 on Artificial Analysis Intelligence Index - MIT licensed.

Europe's most-funded AI startup is embedding engineers inside banks and consulting giants, borrowing Palantir's forward-deploy playbook to survive the frontier race.

Junyang Lin, the 32-year-old architect behind Alibaba's Qwen open-source AI models, announces his departure in a brief tweet - the fourth major exit from Tongyi Lab in two years.

Mistral Vibe 2.0 pairs the open-weight Devstral 2 model with a terminal-native coding agent. We tested it head-to-head against Claude Code and Codex.

A developer cracked Apple's undocumented ANE private APIs, measured its real throughput at 19 TFLOPS FP16 (not the marketed 38 TOPS), and trained a 109M-parameter transformer on hardware Apple designed exclusively for inference.

Alibaba completes the Qwen 3.5 lineup with four small models - 0.8B, 2B, 4B, and 9B - all natively multimodal, 262K context, Apache 2.0. The 9B outperforms last-gen Qwen3-30B and beats GPT-5-Nano on vision benchmarks.