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Snowflake0 Hot0 comments6 min read
Why Waiting for Ready Data Is Riskier Than Starting AI Now
Waiting for perfect data before starting AI creates its own risk. See why running AI and data modernization in parallel is the safer path.
Source: https://www.snowflake.com/en/blog/waiting-for-ready-data-riskier-than-starting-ai-now. 8 Sync News only summarizes and links out; content copyright belongs to the authors and original sources.
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No Human Will Ever Write Code Better Than LLMs? Better at What?
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C# Corner1 Hot5 min
Ways to Load Data into a Microsoft Fabric Lakehouse: Upload Files
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Budgets, Quotas, and Monitors: The Cost Controls I Map Before Agents Go Wider
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Mistral releases open weights for its 1 trillion-parameter Large 4 model
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Expanded semantic model support in Knowledge Catalog
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DEV47 Hot5 minAI
I think we're cooked...
Tác giả nhận ra token dùng thử Qwen Cloud đã hết hạn sau khi đăng bài với tiêu đề "I think we're cooked..." - một sự kiện cho thấy việc phụ thuộc vào AI cloud services như Qwen Cloud có thể gây gián đoạn không lường trước. Nguyên nhân kỹ thuật là token xác thực chỉ có thời hạn sử dụng, vấn đề phổ biến với nhiều nền tảng AI cloud như Qwen, Claude hay Gemini. Hệ quả là người dùng có thể mất quyền truy cập vào tài nguyên AI đã thanh toán hoặc được cấp phép, khiến các dự án cá nhân hoặc công việc bị đình đột ngột. Điều đáng học là cần luôn có kế hoạch dự phòng, chẳng hạn lưu trữ kết quả hoặc sử dụng các local alternatives như Ollama, để không phụ thuộc hoàn toàn vào các cloud AI services có thời hạn token.
Bài viết chia sẻ thực tế về những thách thức và cơ hội trong sự nghiệp lập trình viên thời đại AI.
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