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Свежий документ Data Governance in Open Source AI [1] от Open Source Initiative про то как публиковать данные для обучения ИИ с открытым кодом. В документе много всего, важно что они промоутируют отход от чистого определения Open Data и говорят о новом (старом) подходе Data Commons с разными моделями доступа к данным.
Дословно в тексте упоминаются, привожу как есть: - Open data: data that is freely accessible, usable and shareable without restrictions, typically under an open license or in the Public Domain36 (for example, OpenStreetMap data); • Public data: data that is accessible to anyone without authentication or special permissions (for example, Common Crawl data). Note that this data can degrade as web content becomes unavailable; • Obtainable data: data that can be obtained or acquired through specific actions, such as licensing deals, subscriptions or permissions (for example, ImageNet data); • Unshareable non-public data: data that is confidential or protected by privacy laws, agreements or proprietary rights and cannot be legally shared or publicly distributed.
С точки зрения многих в открытых данных всё это звучит как размывание открытости, но с точки зрения практики ИИ в этом есть логика.
Свежий документ Data Governance in Open Source AI [1] от Open Source Initiative про то как публиковать данные для обучения ИИ с открытым кодом. В документе много всего, важно что они промоутируют отход от чистого определения Open Data и говорят о новом (старом) подходе Data Commons с разными моделями доступа к данным.
Дословно в тексте упоминаются, привожу как есть: - Open data: data that is freely accessible, usable and shareable without restrictions, typically under an open license or in the Public Domain36 (for example, OpenStreetMap data); • Public data: data that is accessible to anyone without authentication or special permissions (for example, Common Crawl data). Note that this data can degrade as web content becomes unavailable; • Obtainable data: data that can be obtained or acquired through specific actions, such as licensing deals, subscriptions or permissions (for example, ImageNet data); • Unshareable non-public data: data that is confidential or protected by privacy laws, agreements or proprietary rights and cannot be legally shared or publicly distributed.
С точки зрения многих в открытых данных всё это звучит как размывание открытости, но с точки зрения практики ИИ в этом есть логика.
Telegram boasts 500 million users, who share information individually and in groups in relative security. But Telegram's use as a one-way broadcast channel — which followers can join but not reply to — means content from inauthentic accounts can easily reach large, captive and eager audiences. Overall, extreme levels of fear in the market seems to have morphed into something more resembling concern. For example, the Cboe Volatility Index fell from its 2022 peak of 36, which it hit Monday, to around 30 on Friday, a sign of easing tensions. Meanwhile, while the price of WTI crude oil slipped from Sunday’s multiyear high $130 of barrel to $109 a pop. Markets have been expecting heavy restrictions on Russian oil, some of which the U.S. has already imposed, and that would reduce the global supply and bring about even more burdensome inflation. "Someone posing as a Ukrainian citizen just joins the chat and starts spreading misinformation, or gathers data, like the location of shelters," Tsekhanovska said, noting how false messages have urged Ukrainians to turn off their phones at a specific time of night, citing cybersafety. "He has kind of an old-school cyber-libertarian world view where technology is there to set you free," Maréchal said. The regulator took order for the search and seizure operation from Judge Purushottam B Jadhav, Sebi Special Judge / Additional Sessions Judge.
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