{"schema_version":"onlylabs.public_signal.v1","title":"Arcee AI Writing: Trinity Large","description":"Arcee AI writing signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/abf6727c-14a7-4360-8c2e-c7d440d04aed","json_url":"https://onlylabs.fyi/signals/abf6727c-14a7-4360-8c2e-c7d440d04aed/signal.json","generated_at":"2026-07-26T20:40:37.675Z","evidence_latest_fetched_at":"2026-06-27T20:01:02.024249+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/abf6727c-14a7-4360-8c2e-c7d440d04aed","signal_json":"https://onlylabs.fyi/signals/abf6727c-14a7-4360-8c2e-c7d440d04aed/signal.json","source":"https://www.arcee.ai/blog/trinity-large","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. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Notable model release with strong HN traction. · Arcee AI | Trinity Large: An Open 400B Sparse MoE Model Trinity Large Thinking: Available on OpenRouter. Try now ↗ ENTERPRISE Research COMPANY Get API Blog / 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","source_host":"arcee.ai","occurred_at":"2026-01-27T00:00:00.000Z","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":"Notability","value":"Notable model release with strong HN traction.","source":"signal"},{"label":"HN","value":"Cautious optimism for a promising US open-source model, with questions on SOTA comparisons and monetization.","source":"source"},{"label":"Watch term","value":"Eval methodology","source":"evidence"},{"label":"Watch term","value":"Data pipeline","source":"evidence"},{"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"],"related_signals":6,"has_source_url":true,"latest_page_fetched_at":"2026-06-27T20:01:02.024249+00:00"},"data_business":{"matches":false,"lanes":[],"matched_terms":[],"score":null,"reason":null},"agent_handoff":{"signal_json":"https://onlylabs.fyi/signals/abf6727c-14a7-4360-8c2e-c7d440d04aed/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/abf6727c-14a7-4360-8c2e-c7d440d04aed/signal.json","required":true},{"label":"source","url":"https://www.arcee.ai/blog/trinity-large","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\" for neolab strategy."},"semantic_triples":[{"subject":"Arcee AI","predicate":"published","object":"Trinity Large","text":"Arcee AI published Trinity Large."},{"subject":"Trinity Large","predicate":"is classified as","object":"writing signal","text":"Trinity Large is classified as writing signal."},{"subject":"Trinity Large","predicate":"belongs to","object":"talking desk","text":"Trinity Large belongs to talking desk."},{"subject":"Trinity Large","predicate":"has evidence coverage","object":"1 captured evidence page","text":"Trinity Large has evidence coverage 1 captured evidence page."},{"subject":"Trinity Large","predicate":"has captured page count","object":"1","text":"Trinity Large has captured page count 1."},{"subject":"Trinity Large","predicate":"has readable page count","object":"1","text":"Trinity Large has readable page count 1."},{"subject":"Trinity Large","predicate":"has related signal count","object":"6","text":"Trinity Large has related signal count 6."},{"subject":"Trinity Large","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 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","predicate":"has source host","object":"arcee.ai","text":"Trinity Large has source host arcee.ai."},{"subject":"Trinity Large","predicate":"has lab","object":"Arcee AI","text":"Trinity Large has lab Arcee AI."},{"subject":"Trinity Large","predicate":"has signal desk","object":"talking","text":"Trinity Large has signal desk talking."},{"subject":"Trinity Large","predicate":"has source host","object":"arcee.ai","text":"Trinity Large has source host arcee.ai."},{"subject":"Trinity Large","predicate":"has notability","object":"Notable model release with strong HN traction.","text":"Trinity Large has notability Notable model release with strong HN traction.."},{"subject":"Trinity Large","predicate":"has hn","object":"Cautious optimism for a promising US open-source model, with questions on SOTA comparisons and monetization.","text":"Trinity Large has hn Cautious optimism for a promising US open-source model, with questions on SOTA comparisons and monetization.."},{"subject":"Trinity Large","predicate":"has watch term","object":"Eval methodology","text":"Trinity Large has watch term Eval methodology."},{"subject":"Trinity Large","predicate":"has watch term","object":"Data pipeline","text":"Trinity Large has watch term Data pipeline."},{"subject":"Trinity Large","predicate":"has watch term","object":"Infrastructure","text":"Trinity Large has watch term Infrastructure."}]},"intelligence":{"signal_desk":"talking","answer":"Arcee AI published Trinity Large. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Notable model release with strong HN traction. · Arcee AI | Trinity Large: An Open 400B Sparse MoE Model Trinity Large Thinking: Available on OpenRouter. Try now ↗ ENTERPRISE Research COMPANY Get API Blog / 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","text":"Arcee AI published Trinity Large."},{"subject":"Trinity Large","predicate":"is classified as","object":"writing signal","text":"Trinity Large is classified as writing signal."},{"subject":"Trinity Large","predicate":"belongs to","object":"talking desk","text":"Trinity Large belongs to talking desk."},{"subject":"Trinity Large","predicate":"has evidence coverage","object":"1 captured evidence page","text":"Trinity Large has evidence coverage 1 captured evidence page."}]},"signal":{"id":"abf6727c-14a7-4360-8c2e-c7d440d04aed","url":"https://onlylabs.fyi/signals/abf6727c-14a7-4360-8c2e-c7d440d04aed","json_url":"https://onlylabs.fyi/signals/abf6727c-14a7-4360-8c2e-c7d440d04aed/signal.json","source_url":"https://www.arcee.ai/blog/trinity-large","title":"Trinity Large","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":"2026-01-27T00:00:00.000Z","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"]},"facets":{},"traction":{"github_stars":null,"hn_points":231,"hn_comments":82,"hn_story_id":"46789561","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","final_url":"https://www.arcee.ai/blog/trinity-large","title":"Trinity Large","http_status":200,"content_type":"text/html; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-27T20:01:02.024249+00:00","bytes":83008,"raw_path":"df3899837378724b0cbfc6c8efc624efe4a9af588cecf4d98c01d6ed2a00678d.html","content_hash":"ec9844fca1b3114329c518a5f11ae6db3de7af5a49ddd93557667fe547b624c4","excerpt_chars":1200,"truncated":true,"excerpt":"Arcee AI | Trinity Large: An Open 400B Sparse MoE Model Trinity Large Thinking: Available on OpenRouter. Try now ↗ ENTERPRISE Research COMPANY Get API Blog / Trinity Large Trinity Large Lucas Atkins , • January 27, 2026 A deep dive into Trinity Large, covering architecture, sparsity, training at scale, and why we shipped Preview, Base, and TrueBase checkpoints. Two months ago I wrote about why we decided to stop treating pretraining like someone else's job. At the time, Trinity Nano Preview and Trinity Mini had just released, and Trinity Large had started training. We were in the middle of our first run so big that you either laughed or got nauseous. Frankly, I felt either we’d end up with a really great base model or fall flat on our faces with a tired wallet. Little did I know, we’d get both. Here’s what we’re shipping, what surprised us, what broke, and what it took to make a 400B sparse MoE behave. We're putting out three variants: Trinity-Large- Preview is lightly post-trained and chat-ready, Trinity-Large- Base is our best pretraining checkpoint after the full 17T recipe, and TrueBase is an early checkpoint from the same run at 10T tokens, without any instruct data..."},"evidence_pages":[],"related_signals":[{"id":"c7d35d55-8f3c-42a7-82a3-75742c018efd","url":"https://onlylabs.fyi/signals/c7d35d55-8f3c-42a7-82a3-75742c018efd","source_url":"https://www.arcee.ai/blog/genesis-science-1","title":"Genesis Science 1","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2026-07-22T00:00:00.000Z","first_seen_at":"2026-07-22T20:01:42.735405+00:00","date_source":"page.visible_date"},{"id":"6098a9a4-d166-4392-81ba-82ebb7a09509","url":"https://onlylabs.fyi/signals/6098a9a4-d166-4392-81ba-82ebb7a09509","source_url":"https://www.arcee.ai/blog/why-we-made-hugging-face-the-home-for-everything-we-build","title":"Why We Made Hugging Face The Home For Everything We Build","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2026-06-09T00:00:00.000Z","first_seen_at":"2026-06-26T20:26:30.835475+00:00","date_source":"page.visible_date"},{"id":"ddd43871-5f36-49ae-8f43-1d3699adf199","url":"https://onlylabs.fyi/signals/ddd43871-5f36-49ae-8f43-1d3699adf199","source_url":"https://www.arcee.ai/blog/trinity-is-moving-to-openmdw-1-1","title":"Trinity Is Moving To Openmdw 1 1","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2026-05-29T00:00:00.000Z","first_seen_at":"2026-06-26T20:26:30.835475+00:00","date_source":"page.visible_date"},{"id":"8a6fbc68-7e04-41d9-b1e5-9ab0340c2dc8","url":"https://onlylabs.fyi/signals/8a6fbc68-7e04-41d9-b1e5-9ab0340c2dc8","source_url":"https://www.arcee.ai/blog/announcing-the-arcee-foundation-model-family","title":"Announcing The Arcee Foundation Model Family","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2025-06-18T00:00:00.000Z","first_seen_at":"2026-06-26T20:26:30.835475+00:00","date_source":"page.visible_date"},{"id":"fe46b495-018b-43b6-a1a1-3e53923fb7e8","url":"https://onlylabs.fyi/signals/fe46b495-018b-43b6-a1a1-3e53923fb7e8","source_url":"https://www.arcee.ai/blog/arcee-maestro-7b-preview-arcee-blitz-advancing-reasoning-and-speed-in-smaller-models","title":"Arcee Maestro 7b Preview Arcee Blitz Advancing Reasoning And Speed In Smaller Models","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2025-02-21T00:00:00.000Z","first_seen_at":"2026-06-26T20:26:30.835475+00:00","date_source":"page.visible_date"},{"id":"b738e573-569d-46e9-b3e1-1d9991f2d7c3","url":"https://onlylabs.fyi/signals/b738e573-569d-46e9-b3e1-1d9991f2d7c3","source_url":"https://www.arcee.ai/blog/arcee-mergekit-our-commitment-to-open-source","title":"Arcee Mergekit Our Commitment To Open Source","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2024-03-06T00:00:00.000Z","first_seen_at":"2026-06-26T20:26:30.835475+00:00","date_source":"page.visible_date"}]}