- Mar 2025
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www.techradar.com www.techradar.com
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The analysis uncovered an average of 11 different types of data out of the 35 possible. As mentioned earlier, Google Gemini stands out as the most data-hungry service, collecting 22 of these data types, including highly sensitive data like precise location, user content, the device's contacts list, browsing history, and more.Among the analyzed applications, only Google Gemini, Copilot, and Perplexity were found to collect precise location data. The controversial DeepSeek chatbot stands right in the middle, collecting 11 unique types of data, such as user input like chat history.
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- Feb 2025
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Detailed explanation of what DeepSeek model is doing differently to improve performance and training time over ChatGPT.
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- Jan 2025
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thehackernews.com thehackernews.com
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Italian DPA bans DeepSeek after the Chinese company refused to provide GDPR related info. Pertaining to app, pd collection, contactpoint and transmission of data to outside the EU. In 2023 it did the same for a few weeks until OpenAI provided answers and point of contact. (And it fined OpenAI). Will other DPAs follow suit?
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medium.com medium.com
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Take aways: AI will become cheaper and more efficient. - closed source models can cache responses and save computations for repetitive queries - closed source also has possibility of iterative improvements using constant reinforcement learning. - Prioritizing capabilities and deliberate strategy in data selection, carefully designed training objectives.
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www.deepseek.com www.deepseek.comDeepSeek1
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Chinese LLM spooking US based corps it seems. #openvraag why?
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x.com x.com
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How to pick a LLM (Jan 2025): — Claude Sonnet is my daily driver. Fast, great writing and great code. — o1 / o1 pro for complex reasoning tasks (tough refactor) — Deepseek v3 for fast cheap API / 4-o replacement — Gemini for ultra long context, Flash and video understanding
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