Nace.AI's Drex-Max v1 Puts a 27B Decision Model on Local Hardware

Nace.AI opens Drex-Max v1, a 27B decision model that runs locally
DeepSeek Harness releases dsh-superagent router-worker coding agent prototype
Heretic 2.0 expands from censorship removal to general model modification

A Eye on AI - 12:30 PM
Nace.AI's open-weight Drex-Max v1 leads this briefing: a 27B multimodal decision model that returns probabilities over named answers instead of generating text, with local runtimes for Apple Silicon and NVIDIA GPUs. We also look at DeepSeek Harness's dsh-superagent router-worker coding prototype, the Heretic 2.0 model-modification release and its Arbitrary-Rank Ablation method, Frontier UI's interactive visual responses for Open WebUI, and Infernix's Windows-first inference engine update for Qwen3.8-Flash-Next on RTX5090 hardware. The through-line is local AI: open weights, agent orchestration, model steering, and the tooling that makes desktop and workstation inference more useful.

Sources:
- MarkTechPost: https://www.marktechpost.com/2026/11/01/nace-ai-open-sources-drex-max-v1-local-inference/
- Reddit r/LocalLLaMA: https://www.reddit.com/r/LocalLLaMA/comments/1xl5yfs/release_drex_max_v1_openweight_27b_multimodal/
- MarkTechPost: https://www.marktechpost.com/2026/11/01/deepseek-dsh-superagent-router-worker-coding-agent/
- Reddit r/LocalLLaMA: https://www.reddit.com/r/LocalLLaMA/comments/1xl1zn3/deepseek_exploring_superagent_design_towards_a/
- pasqualepillitteri.it: https://pasqualepillitteri.it/en/news/29063/openai-confirms-shared-usage-limit-chatgpt-codex-december
- Reddit r/LocalLLaMA: https://www.reddit.com/r/LocalLLaMA/comments/1xl7jr0/i_built_frontier_ui_to_give_local_llms/
- Reddit r/LocalLLaMA: https://www.reddit.com/r/LocalLLaMA/comments/1xl65xy/7900xtx_got_speedup/
- Reddit r/LocalLLaMA: https://www.reddit.com/r/LocalLLaMA/comments/1xl64ho/lfm317b_seems_impressive/
- Reddit r/LocalLLaMA: https://www.reddit.com/r/LocalLLaMA/comments/1xl4pf6/infernix_new_release/
- Reddit r/LocalLLaMA: https://www.reddit.com/r/LocalLLaMA/comments/1xl3cnv/switching_to_epyc_what_i_had_to_fix_and/
- Reddit r/LocalLLaMA: https://www.reddit.com/r/LocalLLaMA/comments/1xl2tcm/heretic_20_released_model_modification_for/
- Reddit r/LocalLLaMA: https://www.reddit.com/r/LocalLLaMA/comments/1xl0oqz/are_bespoke_inference_engines_overhyped_my_strata/
- Reddit r/LocalLLaMA: https://www.reddit.com/r/LocalLLaMA/comments/1xkzony/new_research_a_tiny_109mparameter_model/
- Reddit r/LocalLLaMA: https://www.reddit.com/r/LocalLLaMA/comments/1xkz4lf/glm53flash_on_our_h200s_does_most_of_my_coding/
- Reddit r/LocalLLaMA: https://www.reddit.com/r/LocalLLaMA/comments/1xkxt7a/memdoor_a_team_of_5_qwen3827b_models_beats_fable/
- Reddit r/LocalLLaMA: https://www.reddit.com/r/LocalLLaMA/comments/1xkwvwg/finedna_the_largest_dataset_to_teach_any_llm_dna/
- Reddit r/LocalLLaMA: https://www.reddit.com/r/LocalLLaMA/comments/1xkvp10/rented_some_server_time_and_wanted_to_share_some/
- Reddit r/LocalLLaMA: https://www.reddit.com/r/LocalLLaMA/comments/1xksj75/64gb_isnt_the_dead_zone_anymore_if_you_run_agents/
- Reddit r/LocalLLaMA: https://www.reddit.com/r/LocalLLaMA/comments/1xkiuut/an_llm_inside_an_llm_same_guy_who_put_a_riskv_cpu/
- Reddit r/LocalLLaMA: https://www.reddit.com/r/LocalLLaMA/comments/1xkibxw/crowdgpt_v26_the_collaborative_llm/

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