{"schema_version":"onlylabs.public_signal.v1","title":"Arcee AI Writing: Trinity Large Tech Report","description":"Arcee AI writing signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/f23aca03-b378-47f1-94a0-ce68795832b9","json_url":"https://onlylabs.fyi/signals/f23aca03-b378-47f1-94a0-ce68795832b9/signal.json","generated_at":"2026-10-27T00:25:26.258Z","evidence_latest_fetched_at":"2026-10-26T20:02:39.991459+00:00","signal_first_seen_at":"2026-10-26T20:00:53.491047+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/f23aca03-b378-47f1-94a0-ce68795832b9","signal_json":"https://onlylabs.fyi/signals/f23aca03-b378-47f1-94a0-ce68795832b9/signal.json","source":"https://www.arcee.ai/blog/trinity-large-tech-report","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 Tech Report. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Technical report for Arcee Trinity Large model · Blog | Arcee AI | Trinity Large 400B Open MoE Explained | Arcee AI | Building Open Intelligence Trinity Large Tech Report: 400B Open MoE Architecture Explained Trinity.... 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-tech-report","source_host":"arcee.ai","occurred_at":"2026-02-20T00:00:00.000Z","first_seen_at":"2026-10-26T20:00:53.491047+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":"Notability","value":"Technical report for Arcee Trinity Large model","source":"signal"},{"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-tech-report"],"related_signals":6,"has_source_url":true,"latest_page_fetched_at":"2026-10-26T20:02:39.991459+00:00"},"data_business":{"matches":false,"lanes":[],"matched_terms":[],"score":null,"reason":null},"agent_handoff":{"signal_json":"https://onlylabs.fyi/signals/f23aca03-b378-47f1-94a0-ce68795832b9/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/f23aca03-b378-47f1-94a0-ce68795832b9/signal.json","required":true},{"label":"source","url":"https://www.arcee.ai/blog/trinity-large-tech-report","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 Tech Report\" for neolab strategy."},"semantic_triples":[{"subject":"Arcee AI","predicate":"published","object":"Trinity Large Tech Report","text":"Arcee AI published Trinity Large Tech Report."},{"subject":"Trinity Large Tech Report","predicate":"is classified as","object":"writing signal","text":"Trinity Large Tech Report is classified as writing signal."},{"subject":"Trinity Large Tech Report","predicate":"belongs to","object":"talking desk","text":"Trinity Large Tech Report belongs to talking desk."},{"subject":"Trinity Large Tech Report","predicate":"has evidence coverage","object":"1 captured evidence page","text":"Trinity Large Tech Report has evidence coverage 1 captured evidence page."},{"subject":"Trinity Large Tech Report","predicate":"has captured page count","object":"1","text":"Trinity Large Tech Report has captured page count 1."},{"subject":"Trinity Large Tech Report","predicate":"has readable page count","object":"1","text":"Trinity Large Tech Report has readable page count 1."},{"subject":"Trinity Large Tech Report","predicate":"has related signal count","object":"6","text":"Trinity Large Tech Report has related signal count 6."},{"subject":"Trinity Large Tech Report","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 Tech Report 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 Tech Report","predicate":"has source host","object":"arcee.ai","text":"Trinity Large Tech Report has source host arcee.ai."},{"subject":"Trinity Large Tech Report","predicate":"has lab","object":"Arcee AI","text":"Trinity Large Tech Report has lab Arcee AI."},{"subject":"Trinity Large Tech Report","predicate":"has signal desk","object":"talking","text":"Trinity Large Tech Report has signal desk talking."},{"subject":"Trinity Large Tech Report","predicate":"has source host","object":"arcee.ai","text":"Trinity Large Tech Report has source host arcee.ai."},{"subject":"Trinity Large Tech Report","predicate":"has notability","object":"Technical report for Arcee Trinity Large model","text":"Trinity Large Tech Report has notability Technical report for Arcee Trinity Large model."},{"subject":"Trinity Large Tech Report","predicate":"has watch term","object":"Model card","text":"Trinity Large Tech Report has watch term Model card."},{"subject":"Trinity Large Tech Report","predicate":"has watch term","object":"Infrastructure","text":"Trinity Large Tech Report has watch term Infrastructure."},{"subject":"Trinity Large Tech Report","predicate":"has watch term","object":"Agents and tool use","text":"Trinity Large Tech Report has watch term Agents and tool use."}]},"intelligence":{"signal_desk":"talking","answer":"Arcee AI published Trinity Large Tech Report. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Technical report for Arcee Trinity Large model · Blog | Arcee AI | Trinity Large 400B Open MoE Explained | Arcee AI | Building Open Intelligence Trinity Large Tech Report: 400B Open MoE Architecture Explained Trinity.... onlylabs links this event to 1 captured evidence page and 6 related writing signals.","semantic_triples":[{"subject":"Arcee AI","predicate":"published","object":"Trinity Large Tech Report","text":"Arcee AI published Trinity Large Tech Report."},{"subject":"Trinity Large Tech Report","predicate":"is classified as","object":"writing signal","text":"Trinity Large Tech Report is classified as writing signal."},{"subject":"Trinity Large Tech Report","predicate":"belongs to","object":"talking desk","text":"Trinity Large Tech Report belongs to talking desk."},{"subject":"Trinity Large Tech Report","predicate":"has evidence coverage","object":"1 captured evidence page","text":"Trinity Large Tech Report has evidence coverage 1 captured evidence page."}]},"signal":{"id":"f23aca03-b378-47f1-94a0-ce68795832b9","url":"https://onlylabs.fyi/signals/f23aca03-b378-47f1-94a0-ce68795832b9","json_url":"https://onlylabs.fyi/signals/f23aca03-b378-47f1-94a0-ce68795832b9/signal.json","source_url":"https://www.arcee.ai/blog/trinity-large-tech-report","title":"Trinity Large Tech Report","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":"2026-02-20T00:00:00.000Z","first_seen_at":"2026-10-26T20:00:53.491047+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-tech-report"]},"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":{"is_primary":true,"source_match":true,"url":"https://www.arcee.ai/blog/trinity-large-tech-report","final_url":"https://www.arcee.ai/blog/trinity-large-tech-report","title":"Trinity Large Tech Report","http_status":200,"content_type":"text/html; charset=utf-8","capture_method":"plain","fetched_at":"2026-10-26T20:02:39.991459+00:00","bytes":283235,"raw_path":"4de91e6b249448535f85f9e566837c9c4651619435427bde2bec204c7ec2e63c.html","content_hash":"243fdb9e8385e4484189a87f2e509058f31d26dfe812619930aeb7c865249f8d","excerpt_chars":1200,"truncated":true,"excerpt":"Blog | Arcee AI | Trinity Large 400B Open MoE Explained | Arcee AI | Building Open Intelligence Trinity Large Tech Report: 400B Open MoE Architecture Explained Trinity Large Tech Report: 400B Open MoE Architecture Explained + 3 Lucas Atkins, Varun Singh, Charles Goddard, Mark McQuade 2 min read • Feb 20, 2026 Models Arcee AI Trinity Large Tech Report Arcee AI has published the technical report for Trinity Large, the largest model in its Trinity family of open-weight Mixture-of-Experts (MoE) language models. Trinity Large has 400B total parameters, with only 13B active per token. The report also covers two smaller models: Trinity Nano (6B total, 1B active) and Trinity Mini (26B total, 3B active). All checkpoints are available on Hugging Face . Why it matters Enterprises want models they can audit, host, and adapt inside their own environments, with clear data provenance and licensing. Agentic and reasoning workloads also produce long outputs over long inputs, so inference efficiency is a hard requirement. Trinity was designed for both. Architecture built for efficiency Trinity Large is extremely sparse: 256 routed experts plus one shared expert, with four routed experts active per..."},"evidence_pages":[],"related_signals":[{"id":"4b24c471-7be2-4cfa-8e7d-55832af8f0d9","url":"https://onlylabs.fyi/signals/4b24c471-7be2-4cfa-8e7d-55832af8f0d9","source_url":"https://www.arcee.ai/blog/nac","title":"Nac","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2026-08-13T00:00:00.000Z","first_seen_at":"2026-08-14T00:00:51.775142+00:00","date_source":"page.visible_date"},{"id":"abf6727c-14a7-4360-8c2e-c7d440d04aed","url":"https://onlylabs.fyi/signals/abf6727c-14a7-4360-8c2e-c7d440d04aed","source_url":"https://www.arcee.ai/blog/trinity-large","title":"Trinity Large","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2026-01-27T00:00:00.000Z","first_seen_at":"2026-06-26T20:26:30.835475+00:00","date_source":"page.visible_date"},{"id":"07ef032c-dac5-4fe7-93f6-74fb2f421a68","url":"https://onlylabs.fyi/signals/07ef032c-dac5-4fe7-93f6-74fb2f421a68","source_url":"https://www.arcee.ai/blog/is-running-language-models-on-cpu-really-viable","title":"Is Running Language Models On Cpu Really Viable","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2025-07-09T00:00:00.000Z","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":"729f7425-3ae5-4757-8d6a-f6d820d5470d","url":"https://onlylabs.fyi/signals/729f7425-3ae5-4757-8d6a-f6d820d5470d","source_url":"https://www.arcee.ai/blog/arcee-agent-specialized-7b-language-model","title":"Arcee Agent Specialized 7b Language Model","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2024-07-03T00:00:00.000Z","first_seen_at":"2026-10-19T20:00:52.743153+00:00","date_source":"page.visible_date"},{"id":"b67846d8-703c-491e-89a2-b822135ce684","url":"https://onlylabs.fyi/signals/b67846d8-703c-491e-89a2-b822135ce684","source_url":"https://www.arcee.ai/blog/arcee-spark-a-compact-efficient-7b-parameter-language-model","title":"Arcee Spark A Compact Efficient 7b Parameter Language Model","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2024-06-24T00:00:00.000Z","first_seen_at":"2026-06-26T20:26:30.835475+00:00","date_source":"page.visible_date"}]}