{"schema":"hottub-news/list/v1","item_schema":"hottub-news/item/v1","count":3,"sponsored":0,"items":[{"id":"n_acybgsifyykjfyu7peua","seq":1401273,"kind":"article","title":"Nike plans more job cuts as China sales plunge 26%","url":"https://www.dailymail.com/vertical-galleries/article-16179245/Nike-plans-job-cuts-China-sales-plunge-26.html","published":"2026-10-02T17:27:00Z","seen":"2026-10-02T17:40:40Z","lang":"en","source":{"id":"dailymail.com","name":"dailymail.com","domain":"dailymail.com"},"via":"gdelt-gkg-english","topics":["economy"],"authors":["Sadie Whitelocks","SADIE WHITELOCKS","US SENIOR REPORTER"],"entities":[{"id":"Q98069877","name":"video","type":"other"}],"story":"st_cmpyarlpfxvaa43xeg7q","category":"economy-business","category_p":0.85,"sentiment":"negative","tone":-0.64,"political":0.18},{"id":"n_s6diajp3pu6mzy6is4oa","seq":592963,"kind":"article","title":"Video, Ergo Genero: Unifying Video Tasks via Spatiotemporal Analogy","url":"https://arxiv.org/abs/2609.33935","summary":"arXiv:2609.33935v1 Announce Type: new Abstract: Adapting video models to new tasks typically requires dedicated data curation and fine-tuning. While visual analogy provides a training-free alternative by specifying tasks in-context, it remains restricted to the image domain. To explore whether analogy-based methods can unify diverse video tasks and generalize to out-of-distribution scenarios, we introduce ViGeo, a framework that extends visual in-context learning to the…","published":"2026-09-29T04:00:00Z","seen":"2026-09-29T06:10:00Z","lang":"en","source":{"id":"kite-arxiv-org-1637f0","name":"arxiv.org","domain":"rss.arxiv.org"},"via":"kite-arxiv-org-1637f0","topics":["photonics","cs.cv","cs.ai"],"authors":["Chia-Hsiang Kao, Belinda Zeng, Bharath Hariharan, Menglin Jia"],"entities":[{"id":"Q98069877","name":"video","type":"other"}],"story":"st_s6diajp3pu6mzy6is4oa","category":"science-technology","category_p":0.7,"sentiment":"neutral","tone":0.14,"political":0.02},{"id":"n_jrdknacmlj3wfirvgk4q","seq":283099,"kind":"article","title":"VIDEO ⟩ \"Nekā personīga\": Ko varas partijas paveikušas četru gadu laikā un cik maksājušas pieļautās kļūdas","title_en":"VIDEO > 'Nothing personal': What have the ruling parties achieved in four years and how much have the admitted mistakes cost?","url":"https://pmo.ee/8553625","summary":"Tuvojoties vēlēšanām, raidījums \"Nekā personīga\" atskatās uz pēdējiem četriem gadiem, analizējot varas partiju lēmumus, skandālus un to sekas. Raidījums pievēršas gan partiju finansēšanai un valsts iepirkumiem, gan lielajiem infrastruktūras un aizsardzības projektiem.","published":"2026-09-27T17:42:00Z","seen":"2026-09-27T17:59:23Z","lang":"lv","country":"LV","source":{"id":"kite-apollo-lv-5ffe33","name":"apollo.lv","domain":"apollo.lv"},"via":"kite-apollo-lv-5ffe33","topics":["apollo.lv","ziņas","sabiedrība un politika"],"entities":[{"id":"Q98069877","name":"video","type":"other"}],"image":"https://f8.pmo.ee/eSwCJnKySN8F-EmxnlOy1G9ujLc=/480x270/smart/nginx/o/2026/09/27/17942121t1hbcee.jpg","story":"st_jrdknacmlj3wfirvgk4q","category":"politics","category_p":0.9,"sentiment":"negative","tone":-0.5,"political":0.95}]}