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AI companies race to use ‘distillation’ to produce cheaper models.[1]
DeepSeek claims ‘theoretical’ profit margins of 545%.[2]
Microsoft’s new Phi-4 AI models pack big performance in small packages.[3]
Stanford Researchers Uncover Prompt Caching Risks in AI APIs: Revealing Security Flaws and Data Vulnerabilities.[4]
Sources: [1] https://www.ft.com/content/c117e853-d2a6-4e7c-aea9-e88c7226c31f [2] https://techcrunch.com/2025/03/01/deepseek-claims-theoretical-profit-margins-of-545/ [3] https://venturebeat.com/ai/microsofts-new-phi-4-ai-models-pack-big-performance-in-small-packages/ [4] https://www.marktechpost.com/2025/03/01/stanford-researchers-uncover-prompt-caching-risks-in-ai-apis-revealing-security-flaws-and-data-vulnerabilities/?amp
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