{"schema_version":"onlylabs.public_signal.v1","title":"Arcee AI Writing: Trinity Large Thinking","description":"Arcee AI writing signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/8b185802-ad79-4329-bfbd-7783b6ddf26c","json_url":"https://onlylabs.fyi/signals/8b185802-ad79-4329-bfbd-7783b6ddf26c/signal.json","generated_at":"2026-06-28T03:38:11.396Z","evidence_latest_fetched_at":"2026-06-27T20:01:01.847067+00:00","signal_first_seen_at":"2026-06-26T20:26:30.835475+00:00","org":{"slug":"arcee","name":"Arcee AI","category":"neolab","category_label":"Neolab","dossier_url":"https://onlylabs.fyi/labs/arcee","dossier_json_url":"https://onlylabs.fyi/labs/arcee/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/8b185802-ad79-4329-bfbd-7783b6ddf26c","signal_json":"https://onlylabs.fyi/signals/8b185802-ad79-4329-bfbd-7783b6ddf26c/signal.json","source":"https://www.arcee.ai/blog/trinity-large-thinking","lab_dossier":"https://onlylabs.fyi/labs/arcee","lab_dossier_json":"https://onlylabs.fyi/labs/arcee/dossier.json","analysis":"https://onlylabs.fyi/analysis/arcee","analysis_json":"https://onlylabs.fyi/analysis/arcee/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/arcee/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":"Arcee AI published Trinity Large Thinking. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Arcee AI | Trinity-Large-Thinking: Scaling an Open Source Frontier Agent Trinity Large Thinking: Available on OpenRouter. Try now ↗ ENTERPRISE Research COMPANY Get API.... onlylabs links this event to 1 captured evidence page and 6 related writing signals.","signal_desk":"talking","source_context":{"source_url":"https://www.arcee.ai/blog/trinity-large-thinking","source_host":"arcee.ai","occurred_at":"2026-04-01T00:00:00.000Z","first_seen_at":"2026-06-26T20:26:30.835475+00:00","date_source":"page.visible_date","context":null},"context_markers":[{"label":"Lab","value":"Arcee AI","source":"signal"},{"label":"Signal desk","value":"talking","source":"signal"},{"label":"Source host","value":"arcee.ai","source":"source"},{"label":"Watch term","value":"Eval methodology","source":"evidence"},{"label":"Watch term","value":"Model card","source":"model"},{"label":"Watch term","value":"Infrastructure","source":"evidence"},{"label":"Watch term","value":"Agents and tool use","source":"evidence"}],"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.arcee.ai/blog/trinity-large-thinking"],"related_signals":6,"has_source_url":true,"latest_page_fetched_at":"2026-06-27T20:01:01.847067+00:00"},"data_business":{"matches":false,"lanes":[],"matched_terms":[],"score":null,"reason":null},"agent_handoff":{"signal_json":"https://onlylabs.fyi/signals/8b185802-ad79-4329-bfbd-7783b6ddf26c/signal.json","dossier_json":"https://onlylabs.fyi/labs/arcee/dossier.json","analysis_json":"https://onlylabs.fyi/analysis/arcee/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/arcee/evidence.json","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json?category=neolab","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml?category=neolab","category_signals_json":"https://onlylabs.fyi/signals.json?category=neolab","data_radar_json":null,"opportunities_json":null},"analysis_playbook":{"objective":"Turn public writing and discussion into a readable map of research themes, product framing, policy posture, launch narratives, and market attention.","evidence_focus":["post title","source URL","captured page text","HN traction","linked model or paper references","publication date"],"extraction_questions":["Which themes are labs choosing to explain publicly?","Which posts are attracting outside discussion?","Which writing reframes a recent release, model, hiring wave, or policy stance?","Which posts mention data, evals, infrastructure, safety, or deployment workflows?"],"signal_questions":["What public theme, launch framing, or research direction does this writing signal expose?","Which themes are labs choosing to explain publicly?","Which posts are attracting outside discussion?","Do the 6 related writing signals show a repeated pattern?"],"output_fields":["org","theme","public_framing","traction","evidence_url"],"data_business_relevance":"Data-business lane extraction is scoped to frontier labs; for this category, keep conclusions tied to category-specific strategy, source evidence, and follow-up questions.","required_sources":[{"label":"signal_json","url":"https://onlylabs.fyi/signals/8b185802-ad79-4329-bfbd-7783b6ddf26c/signal.json","required":true},{"label":"source","url":"https://www.arcee.ai/blog/trinity-large-thinking","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/arcee/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/arcee/evidence.json","required":true},{"label":"topic_signals_json","url":"https://onlylabs.fyi/topics/talking/signals.json?category=neolab","required":false},{"label":"data_radar_json","url":null,"required":false}],"expected_output":["one-paragraph source-grounded interpretation","category-specific implication","confidence and missing evidence","recommended next source to inspect"],"prompt_seed":"Using only the linked onlylabs JSON, captured source context, and cited evidence, analyze Arcee AI's writing signal \"Trinity Large Thinking\" for neolab strategy."},"semantic_triples":[{"subject":"Arcee AI","predicate":"published","object":"Trinity Large Thinking","text":"Arcee AI published Trinity Large Thinking."},{"subject":"Trinity Large Thinking","predicate":"is classified as","object":"writing signal","text":"Trinity Large Thinking is classified as writing signal."},{"subject":"Trinity Large Thinking","predicate":"belongs to","object":"talking desk","text":"Trinity Large Thinking belongs to talking desk."},{"subject":"Trinity Large Thinking","predicate":"has evidence coverage","object":"1 captured evidence page","text":"Trinity Large Thinking has evidence coverage 1 captured evidence page."},{"subject":"Trinity Large Thinking","predicate":"has captured page count","object":"1","text":"Trinity Large Thinking has captured page count 1."},{"subject":"Trinity Large Thinking","predicate":"has readable page count","object":"1","text":"Trinity Large Thinking has readable page count 1."},{"subject":"Trinity Large Thinking","predicate":"has related signal count","object":"6","text":"Trinity Large Thinking has related signal count 6."},{"subject":"Trinity Large Thinking","predicate":"has analysis playbook objective","object":"Turn public writing and discussion into a readable map of research themes, product framing, policy posture, launch narratives, and market attention.","text":"Trinity Large Thinking 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":"Trinity Large Thinking","predicate":"has source host","object":"arcee.ai","text":"Trinity Large Thinking has source host arcee.ai."},{"subject":"Trinity Large Thinking","predicate":"has lab","object":"Arcee AI","text":"Trinity Large Thinking has lab Arcee AI."},{"subject":"Trinity Large Thinking","predicate":"has signal desk","object":"talking","text":"Trinity Large Thinking has signal desk talking."},{"subject":"Trinity Large Thinking","predicate":"has source host","object":"arcee.ai","text":"Trinity Large Thinking has source host arcee.ai."},{"subject":"Trinity Large Thinking","predicate":"has watch term","object":"Eval methodology","text":"Trinity Large Thinking has watch term Eval methodology."},{"subject":"Trinity Large Thinking","predicate":"has watch term","object":"Model card","text":"Trinity Large Thinking has watch term Model card."},{"subject":"Trinity Large Thinking","predicate":"has watch term","object":"Infrastructure","text":"Trinity Large Thinking has watch term Infrastructure."},{"subject":"Trinity Large Thinking","predicate":"has watch term","object":"Agents and tool use","text":"Trinity Large Thinking has watch term Agents and tool use."}]},"intelligence":{"signal_desk":"talking","answer":"Arcee AI published Trinity Large Thinking. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Arcee AI | Trinity-Large-Thinking: Scaling an Open Source Frontier Agent Trinity Large Thinking: Available on OpenRouter. Try now ↗ ENTERPRISE Research COMPANY Get API.... onlylabs links this event to 1 captured evidence page and 6 related writing signals.","semantic_triples":[{"subject":"Arcee AI","predicate":"published","object":"Trinity Large Thinking","text":"Arcee AI published Trinity Large Thinking."},{"subject":"Trinity Large Thinking","predicate":"is classified as","object":"writing signal","text":"Trinity Large Thinking is classified as writing signal."},{"subject":"Trinity Large Thinking","predicate":"belongs to","object":"talking desk","text":"Trinity Large Thinking belongs to talking desk."},{"subject":"Trinity Large Thinking","predicate":"has evidence coverage","object":"1 captured evidence page","text":"Trinity Large Thinking has evidence coverage 1 captured evidence page."}]},"signal":{"id":"8b185802-ad79-4329-bfbd-7783b6ddf26c","url":"https://onlylabs.fyi/signals/8b185802-ad79-4329-bfbd-7783b6ddf26c","json_url":"https://onlylabs.fyi/signals/8b185802-ad79-4329-bfbd-7783b6ddf26c/signal.json","source_url":"https://www.arcee.ai/blog/trinity-large-thinking","title":"Trinity Large Thinking","summary":"Arcee AI 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":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2026-04-01T00:00:00.000Z","first_seen_at":"2026-06-26T20:26:30.835475+00:00","date_source":"page.visible_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.arcee.ai/blog/trinity-large-thinking"]},"facets":{},"traction":{"github_stars":null,"hn_points":5,"hn_comments":0,"hn_story_id":"47649905","hf_downloads":null,"hf_likes":null},"data_radar":null},"primary_evidence_page":{"is_primary":true,"source_match":true,"url":"https://www.arcee.ai/blog/trinity-large-thinking","final_url":"https://www.arcee.ai/blog/trinity-large-thinking","title":"Trinity Large Thinking","http_status":200,"content_type":"text/html; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-27T20:01:01.847067+00:00","bytes":74778,"raw_path":"933b2ff4d12f713f185b4b4fd32329fd2f76a45f9ddb8bed4dfa6075d8087d1f.html","content_hash":"a517f170dacab9154a7cf2c73f24c2eb8cf68cf208a1ea5a4472f23762cd026c","excerpt_chars":1200,"truncated":true,"excerpt":"Arcee AI | Trinity-Large-Thinking: Scaling an Open Source Frontier Agent Trinity Large Thinking: Available on OpenRouter. Try now ↗ ENTERPRISE Research COMPANY Get API Blog / Trinity-Large-Thinking: Scaling an Open Source Frontier Agent Trinity-Large-Thinking: Scaling an Open Source Frontier Agent Lucas Atkins , • April 1, 2026 Trinity-Large-Thinking is live. A frontier open reasoning model for complex, long-horizon agents and multi-turn tool calling released under Apache 2.0. Today we are releasing Trinity-Large-Thinking on our API and the weights on Hugging Face under the Apache 2.0 license. Nine months ago, we made a decision that changed the shape of this company. We decided that if we cared about serious American open models, about models developers and enterprises could actually own, then we needed to build them ourselves. That decision gave us Trinity. First came the smaller models, 4.5B, Nano and Mini. Then came Preview at the end of January, our first public look at Trinity Large. Today comes the official release: Trinity-Large-Thinking, our reasoning model built to close the gaps Preview left open. On many axes, it is the strongest open model ever released outside of..."},"evidence_pages":[],"related_signals":[{"id":"15aeaa90-183a-4111-ac12-71167ee53dfa","url":"https://onlylabs.fyi/signals/15aeaa90-183a-4111-ac12-71167ee53dfa","source_url":"https://www.arcee.ai/blog/distilling-kimi-delta-attention-into-afm-4-5b-and-the-tool-we-used-to-do-it","title":"Distilling Kimi Delta Attention Into Afm 4 5b And The Tool We Used To Do It","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2025-12-15T00:00:00.000Z","first_seen_at":"2026-06-26T20:26:30.835475+00:00","date_source":"page.visible_date"},{"id":"10f8de37-74f2-4642-b3ca-e9e9e14942bd","url":"https://onlylabs.fyi/signals/10f8de37-74f2-4642-b3ca-e9e9e14942bd","source_url":"https://www.arcee.ai/blog/extending-afm-4-5b-to-64k-context-length","title":"Extending Afm 4 5b To 64k Context Length","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2025-06-23T00:00:00.000Z","first_seen_at":"2026-06-26T20:26:30.835475+00:00","date_source":"page.visible_date"},{"id":"ed741bba-d676-4f60-b0ae-a24f03d7d99c","url":"https://onlylabs.fyi/signals/ed741bba-d676-4f60-b0ae-a24f03d7d99c","source_url":"https://www.arcee.ai/blog/how-arcee-ai-helped-madeline-co-build-a-world-class-reasoning-model-from-first-principles","title":"How Arcee Ai Helped Madeline Co Build A World Class Reasoning Model From First Principles","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2025-06-06T00:00:00.000Z","first_seen_at":"2026-06-26T20:26:30.835475+00:00","date_source":"page.visible_date"},{"id":"23a84876-b967-4d7b-bf9d-23e74475c117","url":"https://onlylabs.fyi/signals/23a84876-b967-4d7b-bf9d-23e74475c117","source_url":"https://www.arcee.ai/blog/enriching-inventory-data-with-arcee-conductor","title":"Enriching Inventory Data With Arcee Conductor","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2025-05-09T00:00:00.000Z","first_seen_at":"2026-06-26T20:26:30.835475+00:00","date_source":"page.visible_date"},{"id":"e9dcbabc-7329-4c72-8012-3532a62f5c8b","url":"https://onlylabs.fyi/signals/e9dcbabc-7329-4c72-8012-3532a62f5c8b","source_url":"https://www.arcee.ai/blog/how-do-i-prep-my-data-to-train-an-llm-2","title":"How Do I Prep My Data To Train An Llm 2","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2024-07-09T00:00:00.000Z","first_seen_at":"2026-06-26T20:26:30.835475+00:00","date_source":"page.visible_date"},{"id":"3d9ca054-0d41-4c3d-91b0-27e95059f5bf","url":"https://onlylabs.fyi/signals/3d9ca054-0d41-4c3d-91b0-27e95059f5bf","source_url":"https://www.arcee.ai/blog/case-study-innovating-domain-adaptation-through-continual-pre-training-and-model-merging","title":"Case Study Innovating Domain Adaptation Through Continual Pre Training And Model Merging","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2024-03-19T00:00:00.000Z","first_seen_at":"2026-06-26T20:26:30.835475+00:00","date_source":"page.visible_date"}]}