{"schema_version":"onlylabs.public_signal.v1","title":"InclusionAI (Ant Group) Writing: Open Source LLM Development Landscape 2.0: 2025 Revisited","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/1fb31514-221f-4f68-bbdf-52eae4fa2366","json_url":"https://onlylabs.fyi/signals/1fb31514-221f-4f68-bbdf-52eae4fa2366/signal.json","generated_at":"2026-06-07T21:15:38.105734+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/1fb31514-221f-4f68-bbdf-52eae4fa2366","signal_json":"https://onlylabs.fyi/signals/1fb31514-221f-4f68-bbdf-52eae4fa2366/signal.json","source":"https://www.inclusion-ai.org/blog/llm-landscape-2-0","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 Open Source LLM Development Landscape 2.0: 2025 Revisited. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Insightful landscape analysis, not a release. · Open Source LLM Development Landscape 2.0: 2025 Revisited | INCLUSION AI Skip to main content Originally published on Medium by Ant Open Source. Just over three months.... 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/llm-landscape-2-0","source_host":"inclusion-ai.org","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","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":"Insightful landscape analysis, not a release.","source":"signal"},{"label":"Watch term","value":"RL environments","source":"evidence"},{"label":"Watch term","value":"Model card","source":"model"},{"label":"Watch term","value":"Data pipeline","source":"evidence"},{"label":"Watch 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source context, and cited evidence, analyze InclusionAI (Ant Group)'s writing signal \"Open Source LLM Development Landscape 2.0: 2025 Revisited\" for neolab strategy."},"semantic_triples":[{"subject":"InclusionAI (Ant Group)","predicate":"published","object":"Open Source LLM Development Landscape 2.0: 2025 Revisited","text":"InclusionAI (Ant Group) published Open Source LLM Development Landscape 2.0: 2025 Revisited."},{"subject":"Open Source LLM Development Landscape 2.0: 2025 Revisited","predicate":"is classified as","object":"writing signal","text":"Open Source LLM Development Landscape 2.0: 2025 Revisited is classified as writing signal."},{"subject":"Open Source LLM Development Landscape 2.0: 2025 Revisited","predicate":"belongs to","object":"talking desk","text":"Open Source LLM Development Landscape 2.0: 2025 Revisited belongs to talking desk."},{"subject":"Open Source LLM Development Landscape 2.0: 2025 Revisited","predicate":"has evidence coverage","object":"1 captured 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This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Insightful landscape analysis, not a release. · Open Source LLM Development Landscape 2.0: 2025 Revisited | INCLUSION AI Skip to main content Originally published on Medium by Ant Open Source. Just over three months.... onlylabs links this event to 1 captured evidence page and 6 related writing signals.","semantic_triples":[{"subject":"InclusionAI (Ant Group)","predicate":"published","object":"Open Source LLM Development Landscape 2.0: 2025 Revisited","text":"InclusionAI (Ant Group) published Open Source LLM Development Landscape 2.0: 2025 Revisited."},{"subject":"Open Source LLM Development Landscape 2.0: 2025 Revisited","predicate":"is classified as","object":"writing signal","text":"Open Source LLM Development Landscape 2.0: 2025 Revisited is classified as writing signal."},{"subject":"Open Source LLM Development Landscape 2.0: 2025 Revisited","predicate":"belongs to","object":"talking desk","text":"Open Source LLM Development Landscape 2.0: 2025 Revisited belongs to talking desk."},{"subject":"Open Source LLM Development Landscape 2.0: 2025 Revisited","predicate":"has evidence coverage","object":"1 captured evidence page","text":"Open Source LLM Development Landscape 2.0: 2025 Revisited has evidence coverage 1 captured evidence page."}]},"signal":{"id":"1fb31514-221f-4f68-bbdf-52eae4fa2366","url":"https://onlylabs.fyi/signals/1fb31514-221f-4f68-bbdf-52eae4fa2366","json_url":"https://onlylabs.fyi/signals/1fb31514-221f-4f68-bbdf-52eae4fa2366/signal.json","source_url":"https://www.inclusion-ai.org/blog/llm-landscape-2-0","title":"Open Source LLM Development Landscape 2.0: 2025 Revisited","summary":"InclusionAI (Ant Group) published a writing signal. onlylabs watches public writing for research themes, product direction, and model-launch context.","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","evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://www.inclusion-ai.org/blog/llm-landscape-2-0"]},"facets":{},"traction":{"github_stars":null,"hn_points":null,"hn_comments":null,"hn_story_id":null,"hf_downloads":null,"hf_likes":null},"data_radar":null},"primary_evidence_page":{"url":"https://www.inclusion-ai.org/blog/llm-landscape-2-0","final_url":"https://www.inclusion-ai.org/blog/llm-landscape-2-0/","title":"Open Source LLM Development Landscape 2.0: 2025 Revisited","http_status":200,"content_type":"text/html; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-07T21:15:38.105734+00:00","bytes":36857,"raw_path":"f5ca3cb0589410dccbafbb166619dd7dd5386a9ae3bbfab64db7a7a6f8c4a58d.html","content_hash":"ff21fdf683c38a39b7b28da244c4b90a79873cacafea9dbbb9ea007876e3063b","excerpt_chars":1200,"truncated":true,"excerpt":"Open Source LLM Development Landscape 2.0: 2025 Revisited | INCLUSION AI Skip to main content Originally published on Medium by Ant Open Source. Just over three months ago, Ant Open Source and InclusionAI jointly released the very first Open Source LLM Development Landscape , along with a trend insights report. Our goal was simple: to highlight which projects in this fast-moving ecosystem are most worth tracking, using, and contributing to. That's why we're excited to unveil the 2.0 release of our Landscape — a refreshed view of the ecosystem, built with even more insights and context. With the 2.0 release, we also refreshed our methodology for mapping the ecosystem, surfacing a wave of previously overlooked projects while removing others that didn't make the cut. Open Source LLM Development Landscape 2.0: https://antoss-landscape.my.canva.site/ The updated landscape is organized into two major directions: AI Infra and AI Agents . Drawing on community data, we identified and included 114 of the most prominent open source projects , spanning 22 distinct technical domains . For 2.0 , we shifted to using the global GitHub OpenRank rankings directly. From the top down,..."},"evidence_pages":[{"url":"https://www.inclusion-ai.org/blog/llm-landscape-2-0","final_url":"https://www.inclusion-ai.org/blog/llm-landscape-2-0/","title":"Open Source LLM Development Landscape 2.0: 2025 Revisited","http_status":200,"content_type":"text/html; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-07T21:15:38.105734+00:00","bytes":36857,"raw_path":"f5ca3cb0589410dccbafbb166619dd7dd5386a9ae3bbfab64db7a7a6f8c4a58d.html","content_hash":"ff21fdf683c38a39b7b28da244c4b90a79873cacafea9dbbb9ea007876e3063b","excerpt_chars":1200,"truncated":true,"excerpt":"Open Source LLM Development Landscape 2.0: 2025 Revisited | INCLUSION AI Skip to main content Originally published on Medium by Ant Open Source. Just over three months ago, Ant Open Source and InclusionAI jointly released the very first Open Source LLM Development Landscape , along with a trend insights report. Our goal was simple: to highlight which projects in this fast-moving ecosystem are most worth tracking, using, and contributing to. That's why we're excited to unveil the 2.0 release of our Landscape — a refreshed view of the ecosystem, built with even more insights and context. With the 2.0 release, we also refreshed our methodology for mapping the ecosystem, surfacing a wave of previously overlooked projects while removing others that didn't make the cut. Open Source LLM Development Landscape 2.0: https://antoss-landscape.my.canva.site/ The updated landscape is organized into two major directions: AI Infra and AI Agents . Drawing on community data, we identified and included 114 of the most prominent open source projects , spanning 22 distinct technical domains . For 2.0 , we shifted to using the global GitHub OpenRank rankings directly. 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