{"schema_version":"onlylabs.public_signal.v1","title":"Amazon (Nova) Repo: amazon-science/talk2move","description":"Amazon (Nova) repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/b753852f-797e-4369-8c8c-8a5f997e636a","json_url":"https://onlylabs.fyi/signals/b753852f-797e-4369-8c8c-8a5f997e636a/signal.json","generated_at":"2026-06-11T02:53:00.209259+00:00","org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/amazon","dossier_json_url":"https://onlylabs.fyi/labs/amazon/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/b753852f-797e-4369-8c8c-8a5f997e636a","signal_json":"https://onlylabs.fyi/signals/b753852f-797e-4369-8c8c-8a5f997e636a/signal.json","source":"https://github.com/amazon-science/talk2move","lab_dossier":"https://onlylabs.fyi/labs/amazon","lab_dossier_json":"https://onlylabs.fyi/labs/amazon/dossier.json","analysis":"https://onlylabs.fyi/analysis/amazon","analysis_json":"https://onlylabs.fyi/analysis/amazon/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/amazon/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":null,"topic_signals_json":null,"topic_feed":null,"data_business":null},"answer_pack":{"answer":"Amazon (Nova) published amazon-science/talk2move (Python). 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organization build priorities early, especially around internal tooling, eval infrastructure, data systems, deployment, and agent workflows.","required_sources":[{"label":"signal_json","url":"https://onlylabs.fyi/signals/b753852f-797e-4369-8c8c-8a5f997e636a/signal.json","required":true},{"label":"source","url":"https://github.com/amazon-science/talk2move","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/amazon/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/amazon/evidence.json","required":true},{"label":"topic_signals_json","url":null,"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 Amazon (Nova)'s repo signal \"amazon-science/talk2move\" for frontier lab strategy."},"semantic_triples":[{"subject":"Amazon (Nova)","predicate":"published repo","object":"amazon-science/talk2move","text":"Amazon (Nova) published repo amazon-science/talk2move."},{"subject":"amazon-science/talk2move","predicate":"is classified as","object":"repo signal","text":"amazon-science/talk2move is classified as repo signal."},{"subject":"amazon-science/talk2move","predicate":"belongs to","object":"repos desk","text":"amazon-science/talk2move belongs to repos desk."},{"subject":"amazon-science/talk2move","predicate":"has context","object":"Python","text":"amazon-science/talk2move has context Python."},{"subject":"amazon-science/talk2move","predicate":"has evidence coverage","object":"1 captured evidence page","text":"amazon-science/talk2move has evidence coverage 1 captured evidence page."},{"subject":"amazon-science/talk2move","predicate":"has captured page count","object":"1","text":"amazon-science/talk2move has captured page count 1."},{"subject":"amazon-science/talk2move","predicate":"has readable page count","object":"1","text":"amazon-science/talk2move has readable page count 1."},{"subject":"amazon-science/talk2move","predicate":"has related signal count","object":"6","text":"amazon-science/talk2move has related signal count 6."},{"subject":"amazon-science/talk2move","predicate":"has analysis playbook objective","object":"Turn new repository signals into early evidence of tooling, eval, infrastructure, model-adjacent, or product work before it appears in polished launch channels.","text":"amazon-science/talk2move has analysis playbook objective Turn new repository signals into early evidence of tooling, eval, infrastructure, model-adjacent, or product work before it appears in polished launch channels.."},{"subject":"amazon-science/talk2move","predicate":"has source host","object":"github.com","text":"amazon-science/talk2move has source host 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traction","text":"amazon-science/talk2move has notability Low stars, new repo, trivial traction."},{"subject":"amazon-science/talk2move","predicate":"has watch term","object":"RL environments","text":"amazon-science/talk2move has watch term RL environments."}]},"intelligence":{"signal_desk":"repos","answer":"Amazon (Nova) published amazon-science/talk2move (Python). This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. High-signal details: repo amazon-science/talk2move · language Python · Low stars, new repo, trivial traction. onlylabs links this event to 1 captured evidence page and 6 related repo signals.","semantic_triples":[{"subject":"Amazon (Nova)","predicate":"published repo","object":"amazon-science/talk2move","text":"Amazon (Nova) published repo amazon-science/talk2move."},{"subject":"amazon-science/talk2move","predicate":"is classified as","object":"repo signal","text":"amazon-science/talk2move is classified as repo signal."},{"subject":"amazon-science/talk2move","predicate":"belongs to","object":"repos desk","text":"amazon-science/talk2move belongs to repos desk."},{"subject":"amazon-science/talk2move","predicate":"has context","object":"Python","text":"amazon-science/talk2move has context Python."},{"subject":"amazon-science/talk2move","predicate":"has evidence coverage","object":"1 captured evidence page","text":"amazon-science/talk2move has evidence coverage 1 captured evidence page."}]},"signal":{"id":"b753852f-797e-4369-8c8c-8a5f997e636a","url":"https://onlylabs.fyi/signals/b753852f-797e-4369-8c8c-8a5f997e636a","json_url":"https://onlylabs.fyi/signals/b753852f-797e-4369-8c8c-8a5f997e636a/signal.json","source_url":"https://github.com/amazon-science/talk2move","title":"amazon-science/talk2move","summary":"Amazon (Nova) published a new repository. onlylabs watches repos for tooling, eval, infra, and model-adjacent work.","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-02-13T19:37:49+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source","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://github.com/amazon-science/talk2move"]},"facets":{"repo":"amazon-science/talk2move","language":"Python"},"traction":{"github_stars":3,"hn_points":null,"hn_comments":null,"hn_story_id":null,"hf_downloads":null,"hf_likes":null},"data_radar":null},"primary_evidence_page":{"url":"https://github.com/amazon-science/talk2move","final_url":"https://github.com/amazon-science/talk2move","title":"amazon-science/talk2move repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T02:53:00.209259+00:00","bytes":21180,"raw_path":"616a6fa95380cab4a71d67702475016a0587719e19a7a84d63429cf327eb5c37.json","content_hash":"549a8f6151b34933ff5f59fb86a7fb29ad4488272537eda6153758fb6983844d","excerpt_chars":1200,"truncated":true,"excerpt":"amazon-science/talk2move Language: Python License: Apache-2.0 Stars: 3 Forks: 1 Open issues: 4 Created: 2026-02-13T19:37:49Z Pushed: 2026-05-04T22:47:13Z Default branch: main Fork: no Archived: no README: Talk2Move: Reinforcement Learning for Text-Instructed Object-Level Geometric Transformation in Scenes [**Project page**](https://sparkstj.github.io/talk2move) | [**Paper**](https://arxiv.org/abs/2601.02356) | [**Video**](https://youtu.be/bVQ3vUxTAmM) [Jing Tan](https://sparkstj.github.io/), [Zhaoyang Zhang](https://zzyfd.github.io/#/), [Yantao Shen](https://yantaoshen.github.io/), [Jiarui Cai](https://scholar.google.com/citations?user=0na-wa0AAAAJ&hl=en), [Shuo Yang](http://shuoyang1213.me/), [Jiajun Wu](https://jiajunwu.com/), [Wei Xia](https://scholar.google.com/citations?user=OCdJxC8AAAAJ&hl=en), [Zhuowen Tu](https://pages.ucsd.edu/~ztu), [Stefano Soatto](https://web.cs.ucla.edu/~soatto/)

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