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.
"There are several million Russians who can lift their head up from propaganda and try to look for other sources, and I'd say that most look for it on Telegram," he said. The Security Service of Ukraine said in a tweet that it was able to effectively target Russian convoys near Kyiv because of messages sent to an official Telegram bot account called "STOP Russian War." On February 27th, Durov posted that Channels were becoming a source of unverified information and that the company lacks the ability to check on their veracity. He urged users to be mistrustful of the things shared on Channels, and initially threatened to block the feature in the countries involved for the length of the war, saying that he didn’t want Telegram to be used to aggravate conflict or incite ethnic hatred. He did, however, walk back this plan when it became clear that they had also become a vital communications tool for Ukrainian officials and citizens to help coordinate their resistance and evacuations. "This time we received the coordinates of enemy vehicles marked 'V' in Kyiv region," it added. Telegram has gained a reputation as the “secure” communications app in the post-Soviet states, but whenever you make choices about your digital security, it’s important to start by asking yourself, “What exactly am I securing? And who am I securing it from?” These questions should inform your decisions about whether you are using the right tool or platform for your digital security needs. Telegram is certainly not the most secure messaging app on the market right now. Its security model requires users to place a great deal of trust in Telegram’s ability to protect user data. For some users, this may be good enough for now. For others, it may be wiser to move to a different platform for certain kinds of high-risk communications.
from nl
