{"schema_version":"onlylabs.public_signal.v1","title":"InclusionAI (Ant Group) Writing: Segmentation-as-Editing for Unified Multimodal AI","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/b21843d1-15a8-4df9-9d04-cba656dfdfcf","json_url":"https://onlylabs.fyi/signals/b21843d1-15a8-4df9-9d04-cba656dfdfcf/signal.json","generated_at":"2026-06-07T21:15:43.383003+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/b21843d1-15a8-4df9-9d04-cba656dfdfcf","signal_json":"https://onlylabs.fyi/signals/b21843d1-15a8-4df9-9d04-cba656dfdfcf/signal.json","source":"https://www.inclusion-ai.org/blog/ming-lite-omni-1_5-seg","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 Segmentation-as-Editing for Unified Multimodal AI. 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From the debut of Qwen-Image to the interactive editing hype sparked by Nano Banana, image editing has rapidly become the next battlefield for generative AI. Editing fundamentally requires two distinct skill sets: Know where , what , and how to change (understanding the image) Produce the change with high visual quality (generating the image) Its rich gameplay and strong interactivity have pulled in users, developers, and creators alike. But behind the noise, few are asking: Beneath this prosperity, how close are we to a truly unified “understanding + generation” AI? Understanding and Generation: Two Hands, Often Out of Sync ​ For years, we’ve chased an ambitious goal: Build a unified multimodal model that understands the world like a scientist (e.g., image segmentation) while creating it like an artist (e.g., image editing). In theory, these abilities should be mutually reinforcing: “The deeper the understanding, the better the creation; the more the creation, the deeper the..."},"evidence_pages":[{"url":"https://www.inclusion-ai.org/blog/ming-lite-omni-1_5-seg","final_url":"https://www.inclusion-ai.org/blog/ming-lite-omni-1_5-seg/","title":"Segmentation-as-Editing for Unified Multimodal AI","http_status":200,"content_type":"text/html; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-07T21:15:43.383003+00:00","bytes":34197,"raw_path":"3e8bc6c9d6f1401f7d3201380f7beb3f7aeb0f02cdbdce3c904c32a992ba8445.html","content_hash":"2e7aceac72f940dcbee0a2180b348f59dbe4a7218eabf89171720e6a014fd05c","excerpt_chars":1200,"truncated":true,"excerpt":"Segmentation-as-Editing for Unified Multimodal AI | INCLUSION AI Skip to main content GITHUB 🤗 Hugging Face ｜ 🤖 ModelScope The Hype and the Hidden Question ​ The multimodal AI world has been thriving. 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In theory, these abilities should be mutually reinforcing: “The deeper the understanding, the better the creation; the more the creation, the deeper the..."}],"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"}]}