<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Zlio: Open Models</title>
<link>https://zlio.com/</link><description>AI news, deduplicated.</description><item><title>Liquid AI releases LFM2.5-24B-A2B open-weight model for on-device agents</title><link>https://huggingface.co/blog/LiquidAI/lfm25-24b-a2b</link>
<guid isPermaLink="false">zlio-2868</guid><pubDate>Tue, 13 Oct 2026 17:05:48 GMT</pubDate>
<description>LFM2.5-24B-A2B is an open-weight Mixture-of-Experts model from Liquid AI with 24B total and about 2B active parameters, designed to run fast, private agent tasks locally on a laptop. Weights are available on Hugging Face.</description></item><item><title>Leaderboard: China open models trail US by 7 months</title><link>https://www.reddit.com/r/LocalLLaMA/comments/1x5pjv7/the_ai_race_chinas_openweight_models_trail_us</link>
<guid isPermaLink="false">zlio-3671</guid><pubDate>Wed, 14 Oct 2026 13:35:10 GMT</pubDate>
<description>A chart from whatmodel.sh, an open-source AI leaderboard, shows Chinese open-weight text models trail US closed frontier models by about seven months, based on 22,113 results across 987 benchmarks from 1,011 sources.</description></item><item><title>FLock.io unveils Qwen-based edge decision model for privacy</title><link>https://news.google.com/rss/articles/CBMid0FVX3lxTFBJd3NDdURMc3BYVEU1VkpBemF6dFpuUTF4ZkZWNWNSeFY0ZHJtQzZMV1l6Sm00ZVpTbldfaEh6aXlYTUQybHRJNDQ3VnRtMUhNVHRqX3NNSEVGb0hxNU5DaUtEcVNnQU50V0xnekFPOEszQ0JEcW4w?oc=5</link>
<guid isPermaLink="false">zlio-3836</guid><pubDate>Wed, 14 Oct 2026 12:20:35 GMT</pubDate>
<description>FLock.io released an edge decision model built on Qwen aimed at enhanced data privacy, claiming it outperforms larger LLMs on selected tasks.</description></item><item><title>Nvidia Nemotron Bolt 3.5 74B A9B set for Oct. 15</title><link>https://www.reddit.com/r/LocalLLaMA/comments/1x5t1tm/nvidia_nemotron_bolt_35_74b_a9b_releases_oct_15th</link>
<guid isPermaLink="false">zlio-3883</guid><pubDate>Wed, 14 Oct 2026 14:42:30 GMT</pubDate>
<description>A Reddit post says Nvidia&#x27;s Nemotron Bolt 3.5 is a 74B-parameter, 9B-active MoE model quantized to 24GB using 2-bit quantization-aware training for speed.</description></item><item><title>Z.ai GLM 5.3 analysis says post-training is China&#x27;s new AI edge</title><link>https://news.google.com/rss/articles/CBMiW0FVX3lxTE1rQ1h0SmhpbW9oVjd5QzFHNy12czVGR0lQcUIycWFoOUl6WDNIYUxXNHRraHhTYUFuaUdwbTZrX2k3RS1MWHdrLWd4ekZOT2diTS1UTkNUdGZXbzg?oc=5</link>
<guid isPermaLink="false">zlio-3618</guid><pubDate>Wed, 14 Oct 2026 12:08:00 GMT</pubDate>
<description>BigGo Finance argues Z.ai&#x27;s GLM 5.3 shows post-training techniques, rather than raw compute, have become China&#x27;s key competitive advantage in AI.</description></item><item><title>Z.ai releases GLM-Legal model for legal tasks</title><link>https://www.marktechpost.com/2026/10/13/zai-glm-legal-harvey-lab-legal-ai-model</link>
<guid isPermaLink="false">zlio-2602</guid><pubDate>Tue, 13 Oct 2026 08:19:54 GMT</pubDate>
<description>Z.ai&#x27;s GLM-Legal, built on GLM-5.3-Flash, is a legal AI model scoring 19.2% all-pass on Harvey&#x27;s Legal Agent Benchmark, nearly 3x its base, at $0.15 per test, by application.</description></item><item><title>OrcaRouter compares HiRO-ACEv2 with Qwen 3.8</title><link>https://news.google.com/rss/articles/CBMiY0FVX3lxTFA4QWg0OHNvdTh0WHVGVG8tYkNOZjF2M3hRU25waXNtcGp2cFNnaFVSOVBCamNnVUtaOUtEQTE1Q0NySi1kWmw5VDJuYjYzeVAxdnVhMW9xaWZBVlg4VVU0Sk9YUQ?oc=5</link>
<guid isPermaLink="false">zlio-3784</guid><pubDate>Wed, 14 Oct 2026 14:01:04 GMT</pubDate>
<description>OrcaRouter contrasts a quietly published repo, HiRO-ACEv2, against the full launch of Qwen 3.8, weighing the two model efforts. The source is largely commentary without detailed benchmark numbers.</description></item><item><title>Maya-2 open-weight Indic voice model claims top performance</title><link>https://x.com/Dheemanthredy/status/2110262830645510170</link>
<guid isPermaLink="false">zlio-3170</guid><pubDate>Wed, 14 Oct 2026 06:54:00 GMT</pubDate>
<description>An X post announces Maya-2, billed as the world&#x27;s best Indic voice AI model with fully open weights, claiming it outperforms ElevenLabs v3, Cartesia Sonic 3.5 and Bulbul v3 across Indian languages; free to builders soon.</description></item><item><title>Jailbroken PS5 runs Qwen 27B at ~20 tok/s</title><link>https://www.reddit.com/r/LocalLLaMA/comments/1x5ak2n/someone_is_running_qwen_27b_at_20_toks_on_a</link>
<guid isPermaLink="false">zlio-2995</guid><pubDate>Tue, 13 Oct 2026 22:21:00 GMT</pubDate>
<description>An enthusiast ran a 27 billion parameter Qwen model on a jailbroken PlayStation 5&#x27;s GPU at about 20 tokens per second, demonstrating local LLM inference on console hardware.</description></item><item><title>MIT Technology Review weighs open model benefits against risks</title><link>https://www.technologyreview.com/2026/10/13/1146366/open-models-have-real-benefits-do-they-outweigh-the-risks</link>
<guid isPermaLink="false">zlio-2646</guid><pubDate>Tue, 13 Oct 2026 10:00:00 GMT</pubDate>
<description>MIT Technology Review Explains piece examines the benefits of open-weight models against risks, citing an Anthropic report arguing GLM-5.3 poses a major cyberattack risk.</description></item><item><title>n+2 lookahead speeds Qwen Flash Next SSD streaming on Mac</title><link>https://www.reddit.com/r/LocalLLaMA/comments/1x4sit6/based_on_advice_from_localllama_implemented_a_n2</link>
<guid isPermaLink="false">zlio-2737</guid><pubDate>Tue, 13 Oct 2026 09:57:21 GMT</pubDate>
<description>A hobbyist implemented an n+2 lookahead prediction for SSD-streaming Qwen Flash Next on a 64GB Mac Mini M5, fetching experts a layer ahead to speed token output.</description></item><item><title>OrcaRouter benchmarks Qwen-Image-2.1-Turbo locally with BaoCut 3.5</title><link>https://news.google.com/rss/articles/CBMihwFBVV95cUxQYTFpdjZnMjNiQnFOREhHblJ4WGpWUjRhaG1sS01VU2xpaDJsOHF3djI1ZVlFbEJiV1dZc1FaVy03QkVNalBNQV9xcnBDT3pvc1hiTDU1OUVRUS1fQ21JSC05VjhRRmdpSklTUldwaVZJMFdSMk9QdlE3VG1URWFOLVc2S1dXamc?oc=5</link>
<guid isPermaLink="false">zlio-3032</guid><pubDate>Tue, 13 Oct 2026 23:35:16 GMT</pubDate>
<description>OrcaRouter published first local timing tests running Qwen-Image-2.1-Turbo on a desktop via BaoCut 3.5, and compared it to Z-Image Turbo across two 8-step configurations.</description></item><item><title>Comparison of Fish Audio Drama 3 Preview and Qwen Audio 3.0 TTS</title><link>https://news.google.com/rss/articles/CBMif0FVX3lxTE02U1hiRFJqUjg5dkZaRDhZSExBbk8wNTNKb2REVmE3TUFueXRtOWpGeWx0d1pJY1Q3SktqeGYydmw4MkJ3eGFHM3p4cGg0T2d1emN6S0tsVnFqRmk0T3JHQ0czamVQRUpqdmprYnY2NmgyRWhYOGs3TmpJcEFMZVU?oc=5</link>
<guid isPermaLink="false">zlio-3025</guid><pubDate>Tue, 13 Oct 2026 23:27:20 GMT</pubDate>
<description>OrcaRouter compares two text-to-speech systems, Fish Audio Drama 3 Preview and Qwen Audio 3.0 TTS, on voice quality and expressiveness.</description></item><item><title>Alibaba&#x27;s Qwen open-sources QwenGyre RL framework</title><link>https://www.marktechpost.com/2026/10/12/alibaba-qwen-introduces-qwengyre-elastic-reinforcement-learning-rl-for-xlong-horizon-agents</link>
<guid isPermaLink="false">zlio-2422</guid><pubDate>Mon, 12 Oct 2026 21:41:50 GMT</pubDate>
<description>QwenGyre is an elastic online reinforcement learning framework from Alibaba&#x27;s Qwen team for training extreme-long-horizon coding agents through unmodified black-box harnesses, targeting rollouts that run for hours.</description></item><item><title>Kugel 3.5 text-to-speech model launches on Product Hunt</title><link>https://www.producthunt.com/products/kugelaudio</link>
<guid isPermaLink="false">zlio-2752</guid><pubDate>Tue, 13 Oct 2026 13:51:15 GMT</pubDate>
<description>Kugel 3.5 is a text-to-speech model its makers claim outperforms other models on the market. It was shared on Product Hunt; no pricing or availability details were given.</description></item><item><title>OrcaRouter outlines Mistral Large 4 specs, price and missing licence</title><link>https://news.google.com/rss/articles/CBMiWkFVX3lxTFBnM3AtV29TbS1PeTZ1NDV1RmpGZE1OeTNldGtmT1hfRnNDV0JkUnk2V014UlJaSmN0cWIyS1V6UTBpY1lGMndxRTVBbEwySGFYMmJFVW5hdnNOQQ?oc=5</link>
<guid isPermaLink="false">zlio-2749</guid><pubDate>Tue, 13 Oct 2026 13:44:59 GMT</pubDate>
<description>A post examines Mistral Large 4&#x27;s specifications, pricing and the absence of a stated licence. It is analysis of an existing model rather than a new release.</description></item><item><title>DeepSeek and Xiaomi lead China&#x27;s AI push with 16 new models</title><link>https://news.google.com/rss/articles/CBMivAFBVV95cUxPUG5Kem5nVVNxU0NiOG81N21yRE0tblVTNDBmMlZYakdLS2QxQTh0M1dlOHdEd2xPQkpZdkdTWWpUYkFwSV9UQkdWd3FneDNON01VYzdvQzYzTFdTQXdnbEtyYXhkZTN3RWFyc3VWVWZJV25PaUtYNFZfUHdBTHUyQ1U2NkROQ0lnSUgwMXJEOFEyVHBENmRNUkE2UXVCOTd4RzA0UFEyNXF3VG9DNUdFdmFOX0tZdng5WnYyaQ?oc=5</link>
<guid isPermaLink="false">zlio-2559</guid><pubDate>Tue, 13 Oct 2026 05:15:12 GMT</pubDate>
<description>Brave New Coin reports DeepSeek and Xiaomi are leading a Chinese AI charge with 16 new models, challenging US tech giants.</description></item><item><title>Developer converts dense models into Mixture-of-Experts, releases Qwen2.5-1.5B-MoE</title><link>https://www.reddit.com/r/LocalLLaMA/comments/1x4uint/update_converting_dense_models_into</link>
<guid isPermaLink="false">zlio-2693</guid><pubDate>Tue, 13 Oct 2026 11:50:03 GMT</pubDate>
<description>An independent developer continued work on converting dense LLMs into Mixture-of-Experts models, releasing Qwen2.5-1.5B-MoE-A0.9B along with GGUF versions for local use.</description></item><item><title>Developers turn EmbeddingGemma 2 into a speech-to-text model</title><link>https://eg2.haku.sh/</link>
<guid isPermaLink="false">zlio-2681</guid><pubDate>Tue, 13 Oct 2026 11:27:14 GMT</pubDate>
<description>A project repurposes Google&#x27;s EmbeddingGemma 2 embedding model into a speech-to-text system, with the write-up and demo shared on Hacker News.</description></item><item><title>OrcaRouter compares Qwen 3.7 and Qwen 3.8</title><link>https://news.google.com/rss/articles/CBMiZEFVX3lxTE1ybzFmTXV1Q1pOdlEyaHByaVlTUlk2bFpkVXJEdkN3NTk1MDRaZGlORUZjX3JJZUFjMy1pOV94bDhyOVhDamRHaVRzZEZiWGhGZmxHLVVSa01PRjJwMVQ2ZVBLdG4?oc=5</link>
<guid isPermaLink="false">zlio-3361</guid><pubDate>Tue, 13 Oct 2026 11:25:18 GMT</pubDate>
<description>OrcaRouter published a comparison of Qwen 3.7 and Qwen 3.8 aimed at helping developers decide which model generation to call for their workloads.</description></item><item><title>Built In explainer covers DeepSeek and open-weight AI models</title><link>https://news.google.com/rss/articles/CBMiWEFVX3lxTE1JSTIzbWxvNlljcGt0d3dTTDd3ck5fZU1CZFpqdFdNTndiWTNnWjI4SEluU29USGhxRnVOdUdseEdyWmpUWHZ4aFktcHhnQlppUFZNRXdTa00?oc=5</link>
<guid isPermaLink="false">zlio-2981</guid><pubDate>Tue, 13 Oct 2026 21:58:58 GMT</pubDate>
<description>An explainer article describing what DeepSeek is and how open-weight AI models work.</description></item><item><title>Reddit post claims Gemma4 26B A4B runs on 14 smart TVs</title><link>https://www.reddit.com/r/LocalLLaMA/comments/1x4wcnn/is_everyone_in_here_buying_up_smart_tvs_now</link>
<guid isPermaLink="false">zlio-2735</guid><pubDate>Tue, 13 Oct 2026 13:16:08 GMT</pubDate>
<description>A Reddit post jokes that Gemma4 26B A4B can be run with only 14 smart TVs. It is a community joke rather than a news item.</description></item></channel></rss>