the ONLY way to run Deepseek…

Summary: The video discusses the safety and practicality of running AI models like Deep Seek R1 on personal computers. The host emphasizes that while online AI models may compromise user data, running these models locally offers better privacy and security. They explore various options for operating AI models on local machines, including LM Studio and Llama, while advocating for the use of Docker for enhanced isolation and control.

Keypoints:

• Running AI models like Deep Seek R1 locally is touted as safer than using online versions.
• Deep Seek R1 has disrupted the AI landscape, outpacing other models with fewer resources.
• The model has been made open-source, allowing users to run it on their own hardware.
• Using online services means your data could be stored and managed on external servers, potentially leading to privacy risks.
• Deep Seek R1’s servers are located in China, where data privacy laws may expose users to additional risks.
• LM Studio offers a user-friendly interface to run AI models locally without needing command-line skills.
• Hardware requirements for running larger AI models locally can be substantial; even Raspberry Pi may support smaller models.
• Running models locally eliminates the risk of sending data to third-party servers.
• Using Docker can further isolate local AI models, reducing their access to the operating system and network resources.
• Overall, local operation and careful monitoring of network connections can help ensure user data remains secure.