{"schema_version":"onlylabs.public_signal.v1","title":"InclusionAI (Ant Group) Writing: AReaL: Ant Reasoning Reinforcement Learning for LLMs","description":"InclusionAI (Ant Group) writing signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/227761b9-5a8f-47da-9781-87cbf8b4890b","json_url":"https://onlylabs.fyi/signals/227761b9-5a8f-47da-9781-87cbf8b4890b/signal.json","generated_at":"2026-06-07T21:16:01.099709+00:00","org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab","category_label":"Neolab","dossier_url":"https://onlylabs.fyi/labs/inclusionai","dossier_json_url":"https://onlylabs.fyi/labs/inclusionai/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/227761b9-5a8f-47da-9781-87cbf8b4890b","signal_json":"https://onlylabs.fyi/signals/227761b9-5a8f-47da-9781-87cbf8b4890b/signal.json","source":"https://www.inclusion-ai.org/blog/areal","lab_dossier":"https://onlylabs.fyi/labs/inclusionai","lab_dossier_json":"https://onlylabs.fyi/labs/inclusionai/dossier.json","analysis":"https://onlylabs.fyi/analysis/inclusionai","analysis_json":"https://onlylabs.fyi/analysis/inclusionai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/inclusionai/evidence.json","category":"https://onlylabs.fyi/neolabs","category_json":"https://onlylabs.fyi/neolabs.json","category_feed":"https://onlylabs.fyi/neolabs/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neolab","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json?category=neolab","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml?category=neolab","data_business":null},"answer_pack":{"answer":"InclusionAI (Ant Group) published AReaL: Ant Reasoning Reinforcement Learning for LLMs. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Substantive research post on RL for LLMs · AReaL: Ant Reasoning Reinforcement Learning for LLMs | INCLUSION AI Skip to main content | Paper | Documentation | Ask DeepWiki | 🤗 Models & Data | WeChat Group | AReaL.... onlylabs links this event to 1 captured evidence page and 6 related writing signals.","signal_desk":"talking","source_context":{"source_url":"https://www.inclusion-ai.org/blog/areal","source_host":"inclusion-ai.org","occurred_at":"2025-04-01T00:00:00+00:00","first_seen_at":"2026-06-05T22:32:23.327834+00:00","date_source":"rss.item_date","context":null},"context_markers":[{"label":"Lab","value":"InclusionAI (Ant Group)","source":"signal"},{"label":"Signal desk","value":"talking","source":"signal"},{"label":"Source host","value":"inclusion-ai.org","source":"source"},{"label":"Author","value":"ospo@antgroup.com (inclusionAI)","source":"source"},{"label":"Notability","value":"Substantive research post on RL for LLMs","source":"signal"},{"label":"Watch 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Reinforcement Learning for LLMs has analysis playbook objective Turn public writing and discussion into a readable map of research themes, product framing, policy posture, launch narratives, and market attention.."},{"subject":"AReaL: Ant Reasoning Reinforcement Learning for LLMs","predicate":"has source host","object":"inclusion-ai.org","text":"AReaL: Ant Reasoning Reinforcement Learning for LLMs has source host inclusion-ai.org."},{"subject":"AReaL: Ant Reasoning Reinforcement Learning for LLMs","predicate":"has lab","object":"InclusionAI (Ant Group)","text":"AReaL: Ant Reasoning Reinforcement Learning for LLMs has lab InclusionAI (Ant Group)."},{"subject":"AReaL: Ant Reasoning Reinforcement Learning for LLMs","predicate":"has signal desk","object":"talking","text":"AReaL: Ant Reasoning Reinforcement Learning for LLMs has signal desk talking."},{"subject":"AReaL: Ant Reasoning Reinforcement Learning for LLMs","predicate":"has source host","object":"inclusion-ai.org","text":"AReaL: Ant Reasoning Reinforcement Learning for LLMs has source host inclusion-ai.org."},{"subject":"AReaL: Ant Reasoning Reinforcement Learning for LLMs","predicate":"has author","object":"ospo@antgroup.com (inclusionAI)","text":"AReaL: Ant Reasoning Reinforcement Learning for LLMs has author ospo@antgroup.com (inclusionAI)."},{"subject":"AReaL: Ant Reasoning Reinforcement Learning for LLMs","predicate":"has notability","object":"Substantive research post on RL for LLMs","text":"AReaL: Ant Reasoning Reinforcement Learning for LLMs has notability Substantive research post on RL for LLMs."},{"subject":"AReaL: Ant Reasoning Reinforcement Learning for LLMs","predicate":"has watch term","object":"RL environments","text":"AReaL: Ant Reasoning Reinforcement Learning for LLMs has watch term RL environments."},{"subject":"AReaL: Ant Reasoning Reinforcement Learning for LLMs","predicate":"has watch term","object":"Eval methodology","text":"AReaL: Ant Reasoning Reinforcement Learning for LLMs has watch 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Built upon the open-source project RealHF , we are fully committed to open-source by providing training details, data, and infrastructure required to reproduce results along with the model itself. AReaL aims to help everyone build their own AI agents easily and affordably. Our team loves milk tea because it's delicious, customizable, and affordable. We hope you enjoy our project just like how you enjoy real-world milk tea (cheers). AReaL Highlights 🔥 [NEW] Asynchronous RL: With algorithm-system co-design, AReaL supports fully asynchronous RL for the fastest training ! Experimental support for multi-turn agentic RL is also provided. 🛠️ Open & Reproducible : We continuously release all code, datasets, and training recipes for RL training of LLMs. 🚀 Scalability : AReaL can seamlessly adapt to different computational resource settings, ranging from a..."}],"related_signals":[{"id":"2cbb5136-91f1-45ad-ab49-648a7e5cdf57","url":"https://onlylabs.fyi/signals/2cbb5136-91f1-45ad-ab49-648a7e5cdf57","source_url":"https://www.inclusion-ai.org/blog/agentic-landscape-in-2026-Q1","title":"Taking the Pulse of Agentic AI from the Developer Community at the End of Q1 2026","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2026-04-01T00:00:00+00:00","first_seen_at":"2026-06-05T22:32:23.327834+00:00","date_source":"rss.item_date"},{"id":"5e1cfc8a-4c7d-492f-a99f-dd64392daa52","url":"https://onlylabs.fyi/signals/5e1cfc8a-4c7d-492f-a99f-dd64392daa52","source_url":"https://www.inclusion-ai.org/blog/ming-omni-tts","title":"Ming-Omni-TTS: Simple and Efficient Unified Generation of Speech, Music, and Sound with Precise Control","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2026-03-04T00:00:00+00:00","first_seen_at":"2026-06-05T22:32:23.327834+00:00","date_source":"rss.item_date"},{"id":"957b8d9f-1548-4ee4-a149-d34b39ed4dea","url":"https://onlylabs.fyi/signals/957b8d9f-1548-4ee4-a149-d34b39ed4dea","source_url":"https://www.inclusion-ai.org/blog/llm-landscape-vllm-sgl","title":"The Community Stories of vLLM and SGLang","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2025-12-17T00:00:00+00:00","first_seen_at":"2026-06-05T22:32:23.327834+00:00","date_source":"rss.item_date"},{"id":"12b75563-2758-4e3e-9e19-672d996b030c","url":"https://onlylabs.fyi/signals/12b75563-2758-4e3e-9e19-672d996b030c","source_url":"https://www.inclusion-ai.org/blog/ming-flash-omni-preview","title":"Ming-flash-omni-Preview: A Sparse, Unified Architecture for Multimodal Perception and Generation","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2025-10-28T00:00:00+00:00","first_seen_at":"2026-06-05T22:32:23.327834+00:00","date_source":"rss.item_date"},{"id":"1fb31514-221f-4f68-bbdf-52eae4fa2366","url":"https://onlylabs.fyi/signals/1fb31514-221f-4f68-bbdf-52eae4fa2366","source_url":"https://www.inclusion-ai.org/blog/llm-landscape-2-0","title":"Open Source LLM Development Landscape 2.0: 2025 Revisited","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2025-10-11T00:00:00+00:00","first_seen_at":"2026-06-05T22:32:23.327834+00:00","date_source":"rss.item_date"},{"id":"6443bea9-11eb-40ed-9c4f-9648b55c8137","url":"https://onlylabs.fyi/signals/6443bea9-11eb-40ed-9c4f-9648b55c8137","source_url":"https://www.inclusion-ai.org/blog/ming-uniaudio","title":"Ming-UniAudio: Speech LLM for Joint Understanding, Generation and Editing with Unified Representation","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2025-10-01T00:00:00+00:00","first_seen_at":"2026-06-05T22:32:23.327834+00:00","date_source":"rss.item_date"}]}