Qwen 3.8-27B

Headlines · 2

1. Oct 19
   Together AI launches Together Post-Training service for RL and SFT

   Together AI introduced Together Post-Training, a service for building custom models on its platform through reinforcement learning from environment rewards and supervised fine-tuning on supervision data. The company says users define the entire training loop while Together co-optimizes the underlying systems and infrastructure, with support for LoRA training (including multiple adapters sharing GPU capacity) and full-weight experiments for select models. It launches with open-weight models including Muse Spark Open, GLM 5.3, Kimi K3 and Qwen 3.8-27B, priced at a reduced $9 per GPU-hour of B200 usage for the first eight weeks.

   Together AI Blog · 🔥 0
2. Oct 14
   Report: abliterated open-weight models surface online in under three days

   A new Counter-Terrorism AI Benchmark report from UK nonprofit Tech Against Terrorism, shared with WIRED ahead of publication, says researchers tested 134 models with more than 200 prompts, running each prompt three times; only two models passed completely and 81 failed. The report found that abliterated (guardrail-removed) versions of newly released open-weight models now appear online in under three days on average, versus more than 24 days in 2024, and that abliterated versions of Alibaba's Qwen 3.8-27B appeared within 24 hours of its release. In testing, Meta's Llama 3.1 8B scored 97 out of 100 while an abliterated version scored 3, and that version gave 15 numbered steps for building and detonating an IED when asked. Reframing a request as coming from a safety researcher, with no evidence, made models almost nine times as likely to answer, doing so 16.9 percent of the time; Meta, OpenAI, Google, Anthropic, xAI and Alibaba did not respond to requests for comment.

   WIRED AI · 🔥 0

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