{"schema_version":"onlylabs.public_signal.v1","title":"Meta AI (Llama) Writing: SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning","description":"Meta AI (Llama) writing signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/ba2c01b5-7e7f-4110-b0c5-276561bc7bf8","json_url":"https://onlylabs.fyi/signals/ba2c01b5-7e7f-4110-b0c5-276561bc7bf8/signal.json","generated_at":"2026-06-26T23:21:20.054Z","evidence_latest_fetched_at":"2026-06-26T20:39:31.839819+00:00","signal_first_seen_at":"2026-06-26T20:39:03.915915+00:00","org":{"slug":"meta-ai","name":"Meta AI (Llama)","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/meta-ai","dossier_json_url":"https://onlylabs.fyi/labs/meta-ai/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/ba2c01b5-7e7f-4110-b0c5-276561bc7bf8","signal_json":"https://onlylabs.fyi/signals/ba2c01b5-7e7f-4110-b0c5-276561bc7bf8/signal.json","source":"https://ai.meta.com/blog/segment-anything-model-3/","lab_dossier":"https://onlylabs.fyi/labs/meta-ai","lab_dossier_json":"https://onlylabs.fyi/labs/meta-ai/dossier.json","analysis":"https://onlylabs.fyi/analysis/meta-ai","analysis_json":"https://onlylabs.fyi/analysis/meta-ai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/meta-ai/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml","data_business":null},"answer_pack":{"answer":"Meta AI (Llama) published SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Updated Meta video segmentation model with multiplexing, likely high traction. · SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning Products AI Research Resources About Get Llama Try Meta.... onlylabs links this event to 1 captured evidence page and 6 related writing signals.","signal_desk":"talking","source_context":{"source_url":"https://ai.meta.com/blog/segment-anything-model-3/","source_host":"ai.meta.com","occurred_at":"2026-03-27T00:00:00+00:00","first_seen_at":"2026-06-26T20:39:03.915915+00:00","date_source":"html.visible_date","context":null},"context_markers":[{"label":"Lab","value":"Meta AI (Llama)","source":"signal"},{"label":"Signal desk","value":"talking","source":"signal"},{"label":"Source host","value":"ai.meta.com","source":"source"},{"label":"Model refs","value":"facebook/sam3.1, facebook/sam3","source":"model"},{"label":"Notability","value":"Updated Meta video segmentation model with multiplexing, likely high traction.","source":"signal"},{"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://ai.meta.com/blog/segment-anything-model-3/"],"related_signals":6,"has_source_url":true,"latest_page_fetched_at":"2026-06-26T20:39:31.839819+00:00"},"data_business":{"matches":false,"lanes":[],"matched_terms":[],"score":null,"reason":null},"agent_handoff":{"signal_json":"https://onlylabs.fyi/signals/ba2c01b5-7e7f-4110-b0c5-276561bc7bf8/signal.json","dossier_json":"https://onlylabs.fyi/labs/meta-ai/dossier.json","analysis_json":"https://onlylabs.fyi/analysis/meta-ai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/meta-ai/evidence.json","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","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","data_business_lane","evidence_url"],"data_business_relevance":"Public writing supplies the narrative layer over raw signals and helps identify which frontier-lab priorities are becoming externally legible.","required_sources":[{"label":"signal_json","url":"https://onlylabs.fyi/signals/ba2c01b5-7e7f-4110-b0c5-276561bc7bf8/signal.json","required":true},{"label":"source","url":"https://ai.meta.com/blog/segment-anything-model-3/","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/meta-ai/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/meta-ai/evidence.json","required":true},{"label":"topic_signals_json","url":"https://onlylabs.fyi/topics/talking/signals.json","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 Meta AI (Llama)'s writing signal \"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning\" for frontier lab strategy."},"semantic_triples":[{"subject":"Meta AI (Llama)","predicate":"published","object":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning","text":"Meta AI (Llama) published SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning."},{"subject":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning","predicate":"is classified as","object":"writing signal","text":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning is classified as writing signal."},{"subject":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning","predicate":"belongs to","object":"talking desk","text":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning belongs to talking desk."},{"subject":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning","predicate":"has evidence coverage","object":"1 captured evidence page","text":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning has evidence coverage 1 captured evidence page."},{"subject":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning","predicate":"has captured page count","object":"1","text":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning has captured page count 1."},{"subject":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning","predicate":"has readable page count","object":"1","text":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning has readable page count 1."},{"subject":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning","predicate":"has related signal count","object":"6","text":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning has related signal count 6."},{"subject":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning","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":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning 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":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning","predicate":"has source host","object":"ai.meta.com","text":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning has source host ai.meta.com."},{"subject":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning","predicate":"has lab","object":"Meta AI (Llama)","text":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning has lab Meta AI (Llama)."},{"subject":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning","predicate":"has signal desk","object":"talking","text":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning has signal desk talking."},{"subject":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning","predicate":"has source host","object":"ai.meta.com","text":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning has source host ai.meta.com."},{"subject":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning","predicate":"has model refs","object":"facebook/sam3.1, facebook/sam3","text":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning has model refs facebook/sam3.1, facebook/sam3."},{"subject":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning","predicate":"has notability","object":"Updated Meta video segmentation model with multiplexing, likely high traction.","text":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning has notability Updated Meta video segmentation model with multiplexing, likely high traction.."},{"subject":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning","predicate":"has watch term","object":"Eval methodology","text":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning has watch term Eval methodology."},{"subject":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning","predicate":"has watch term","object":"Data pipeline","text":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning has watch term Data pipeline."},{"subject":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning","predicate":"has watch term","object":"Infrastructure","text":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning has watch term Infrastructure."}]},"intelligence":{"signal_desk":"talking","answer":"Meta AI (Llama) published SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Updated Meta video segmentation model with multiplexing, likely high traction. · SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning Products AI Research Resources About Get Llama Try Meta.... onlylabs links this event to 1 captured evidence page and 6 related writing signals.","semantic_triples":[{"subject":"Meta AI (Llama)","predicate":"published","object":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning","text":"Meta AI (Llama) published SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning."},{"subject":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning","predicate":"is classified as","object":"writing signal","text":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning is classified as writing signal."},{"subject":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning","predicate":"belongs to","object":"talking desk","text":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning belongs to talking desk."},{"subject":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning","predicate":"has evidence coverage","object":"1 captured evidence page","text":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning has evidence coverage 1 captured evidence page."}]},"signal":{"id":"ba2c01b5-7e7f-4110-b0c5-276561bc7bf8","url":"https://onlylabs.fyi/signals/ba2c01b5-7e7f-4110-b0c5-276561bc7bf8","json_url":"https://onlylabs.fyi/signals/ba2c01b5-7e7f-4110-b0c5-276561bc7bf8/signal.json","source_url":"https://ai.meta.com/blog/segment-anything-model-3/","title":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning","summary":"Meta AI (Llama) 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":"meta-ai","name":"Meta AI (Llama)","category":"frontier-lab"},"occurred_at":"2026-03-27T00:00:00+00:00","first_seen_at":"2026-06-26T20:39:03.915915+00:00","date_source":"html.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://ai.meta.com/blog/segment-anything-model-3/"]},"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://ai.meta.com/blog/segment-anything-model-3/","final_url":"https://ai.meta.com/blog/segment-anything-model-3/","title":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning","http_status":200,"content_type":"text/html; charset=\"utf-8\"","capture_method":"plain","fetched_at":"2026-06-26T20:39:31.839819+00:00","bytes":216628,"raw_path":"4f7644b6b48ca01bbc84dbbff1287652e84b13f1ab91c4af7c3591c04f5593dd.html","content_hash":"3b36d0e0b837949687177ba72e3865e562134f6cead58a780f1e023383096481","excerpt_chars":1200,"truncated":true,"excerpt":"SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning Products AI Research Resources About Get Llama Try Meta AI FEATURED Computer Vision SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning March 27, 2026 • 15 minute read Update March 27, 2026: We’ve seen incredible adoption of SAM 3 over the last few months, and during that time, we’ve been working behind the scenes on updates to improve video processing efficiency. Today, we’re pleased to introduce SAM 3.1. As a drop-in replacement for SAM 3, our updated model delivers a significant boost in video processing efficiency by introducing object multiplexing, which allows the model to track up to 16 objects in a single forward pass. This innovation doubles the processing speed for videos with a medium number of objects, increasing throughput from 16 to 32 frames per second on a single H100 GPU. As a result, SAM 3.1 enables real-time object tracking in complex videos while reducing overall GPU resource requirements, making high-performance applications feasible on smaller, more accessible hardware. This improvement..."},"evidence_pages":[],"related_signals":[{"id":"c87773e9-b126-4457-adea-1f53db3aeaff","url":"https://onlylabs.fyi/signals/c87773e9-b126-4457-adea-1f53db3aeaff","source_url":"https://ai.meta.com/blog/introducing-muse-spark-msl/","title":"Introducing Muse Spark: Scaling Towards Personal Superintelligence","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"meta-ai","name":"Meta AI (Llama)","category":"frontier-lab"},"occurred_at":"2026-04-08T00:00:00+00:00","first_seen_at":"2026-06-26T20:39:03.915915+00:00","date_source":"html.visible_date"},{"id":"07075dda-26f9-4145-86b8-a6a159116459","url":"https://onlylabs.fyi/signals/07075dda-26f9-4145-86b8-a6a159116459","source_url":"https://ai.meta.com/blog/scaling-how-we-build-test-advanced-ai/","title":"Scaling How We Build and Test Our Most Advanced AI","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"meta-ai","name":"Meta AI (Llama)","category":"frontier-lab"},"occurred_at":"2026-04-08T00:00:00+00:00","first_seen_at":"2026-06-26T20:39:03.915915+00:00","date_source":"html.visible_date"},{"id":"c5ef4709-9ded-45f9-bc8f-7a0a43ce4b85","url":"https://onlylabs.fyi/signals/c5ef4709-9ded-45f9-bc8f-7a0a43ce4b85","source_url":"https://ai.meta.com/blog/alta-daily-fashion-app-segment-anything/","title":"How Alta Daily Uses Meta’s Segment Anything to Reimagine the Digital Closet","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"meta-ai","name":"Meta AI (Llama)","category":"frontier-lab"},"occurred_at":"2026-04-06T00:00:00+00:00","first_seen_at":"2026-06-26T20:39:03.915915+00:00","date_source":"html.visible_date"},{"id":"007c326e-d542-4e21-b21d-d74a4f769527","url":"https://onlylabs.fyi/signals/007c326e-d542-4e21-b21d-d74a4f769527","source_url":"https://ai.meta.com/blog/tribe-v2-brain-predictive-foundation-model/","title":"Introducing TRIBE v2: A Predictive Foundation Model Trained to Understand How the Human Brain Processes Complex Stimuli","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"meta-ai","name":"Meta AI (Llama)","category":"frontier-lab"},"occurred_at":"2026-03-26T00:00:00+00:00","first_seen_at":"2026-06-26T20:39:03.915915+00:00","date_source":"html.visible_date"},{"id":"59beeb82-0134-4edc-98db-f0d566d68fd7","url":"https://onlylabs.fyi/signals/59beeb82-0134-4edc-98db-f0d566d68fd7","source_url":"https://ai.meta.com/blog/meta-mtia-scale-ai-chips-for-billions/","title":"Four MTIA Chips in Two Years: Scaling AI Experiences for Billions","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"meta-ai","name":"Meta AI (Llama)","category":"frontier-lab"},"occurred_at":"2026-03-11T00:00:00+00:00","first_seen_at":"2026-06-26T20:39:03.915915+00:00","date_source":"html.visible_date"},{"id":"1771b3fa-390f-418b-a08c-927958748215","url":"https://onlylabs.fyi/signals/1771b3fa-390f-418b-a08c-927958748215","source_url":"https://ai.meta.com/blog/world-resources-institute-dino-canopy-height-maps-v2/","title":"Mapping the World's Forests with Greater Precision: Introducing Canopy Height Maps v2","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"meta-ai","name":"Meta AI (Llama)","category":"frontier-lab"},"occurred_at":"2026-03-10T00:00:00+00:00","first_seen_at":"2026-06-26T20:39:03.915915+00:00","date_source":"html.visible_date"}]}