• 15 Posts
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Joined 2 days ago
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Cake day: January 29th, 2025

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  • ‘So what?’: Privacy warnings about DeepSeek fall on deaf ears

    Privacy activists are warning about the invasive nature of DeepSeek, which collects a trove of personal user information that could be handed over to the Chinese government

    People, however, just don’t care.

    Luke de Pulford, co-founder of the Inter-Parliamentary Alliance on China (IPAC), shared screenshots from the Chinese AI chatbot’s privacy policy, which stated data it collects is stored in “secure servers located in the People’s Republic of China.”

    “Just fyi, @deepseek_ai collects your IP, keystroke patterns, device info, etc etc, and stores it in China, where all that data is vulnerable to arbitrary requisition from the [Chinese] State,” said de Pulford, leader of IPAC, a global group of lawmakers who seek to hold China accountable for democratic abuses.

    “Anticipating tedious whataboutery: the difference between this and free-world social media apps is that you can enforce your data rights in rule of law countries. This is not the case in China,” said de Pulford. >







  • The guys at HF (and many others) appear to have a different understanding of Open Source.

    As the Open Source AI definition says, among others:

    Data Information: Sufficiently detailed information about the data used to train the system so that a skilled person can build a substantially equivalent system. Data Information shall be made available under OSI-approved terms.

    • In particular, this must include: (1) the complete description of all data used for training, including (if used) of unshareable data, disclosing the provenance of the data, its scope and characteristics, how the data was obtained and selected, the labeling procedures, and data processing and filtering methodologies; (2) a listing of all publicly available training data and where to obtain it; and (3) a listing of all training data obtainable from third parties and where to obtain it, including for fee.

    Code: The complete source code used to train and run the system. The Code shall represent the full specification of how the data was processed and filtered, and how the training was done. Code shall be made available under OSI-approved licenses.

    • For example, if used, this must include code used for processing and filtering data, code used for training including arguments and settings used, validation and testing, supporting libraries like tokenizers and hyperparameters search code, inference code, and model architecture.

    Parameters: The model parameters, such as weights or other configuration settings. Parameters shall be made available under OSI-approved terms.

    • The licensing or other terms applied to these elements and to any combination thereof may contain conditions that require any modified version to be released under the same terms as the original.

    These three components -data, code, parameter- shall be released under the same condition.