DeepSeek R1 DESTROYED Silicon Valley, But Can It Write?

Summary

In this video, the reviewer evaluates the Deep Seek R1 language model, highlighting its impressive cost-to-performance ratio compared to other high-end models like GPT-4. While not perfect, Deep Seek R1 provides comparable output at a fraction of the price, making it ideal for tasks like brainstorming, world-building, and creative writing. The model is praised for its affordability, but its NSFW and violence-handling capabilities, alongside minor security concerns, are also noted. Overall, Deep Seek R1 is recommended for users seeking an economical, reliable language model for various applications.

Takeaways

• 😀 Deep Seek R1 is a cost-effective alternative to high-end language models, offering much cheaper pricing for input and output tokens.
• 😀 At $0.55 per million tokens for input and $2.19 for output, Deep Seek R1 is more affordable than alternatives like GPT-4, making it ideal for budget-conscious users.
• 😀 The model performs almost as well as more expensive models, though it isn't perfect, and may not be suitable for marketing or specific high-quality tasks.
• 😀 For creative tasks like brainstorming or world-building, Deep Seek R1 offers good performance at a fraction of the cost, especially for novel writing or similar projects.
• 😀 The model is capable of handling sensitive content (e.g., violence or adult themes), though some jailbreaking may be required for more explicit prompts.
• 😀 Deep Seek R1 is recommended for general tasks and daily use due to its affordability and solid performance, though higher-end models may be better for specialized needs.
• 😀 Concerns over security due to Deep Seek's Chinese origin can be mitigated by using OpenRouter, which ensures that prompts aren't stored or accessed by Deep Seek.
• 😀 For enhanced security, users can run Deep Seek R1 locally using tools like LM Studio, cutting off any internet access to ensure data privacy.
• 😀 Despite not surpassing top-tier models in terms of quality, Deep Seek R1 offers comparable results, making it a strong contender for those seeking cost efficiency.
• 😀 The low price and reasonable performance make Deep Seek R1 a strong choice for individuals who need language models for everyday tasks without compromising on essential features.

Q & A

What is the main focus of the video?

The video focuses on reviewing and comparing the performance and pricing of various AI language models, with a particular emphasis on Deep Seek.

Why does the presenter recommend Deep Seek despite its imperfections?

The presenter recommends Deep Seek because it offers a strong performance at a significantly lower cost compared to other high-end models, making it a great option for most use cases.

How does Deep Seek's pricing compare to other language models?

Deep Seek's pricing is much cheaper. For instance, it costs 55 cents for a million tokens of input and $2.19 for output, while some models cost up to $15 for input and $60 for output.

What are some use cases where Deep Seek is recommended?

Deep Seek is recommended for tasks like brainstorming, working with large inputs (e.g., novel writing), or when high-level quality isn't critical, as it performs adequately for such tasks at a fraction of the cost.

What limitations did the presenter observe with Deep Seek?

Deep Seek isn't perfect and may not deliver the highest quality output for certain tasks. It also has content restrictions, although these can sometimes be bypassed with certain techniques.

How does Deep Seek perform in comparison to other models in terms of content generation?

Deep Seek's content generation is close to the best models, though not as refined. It performs decently well for most applications but might fall short for more specific, high-quality tasks.

What security concerns were raised regarding Deep Seek?

There were concerns about the security of using a Chinese-based model, especially regarding data privacy. However, the presenter suggests using OpenRouter's API or running Deep Seek locally to mitigate these concerns.

Is Deep Seek a good choice for users with concerns about privacy?

Yes, if users are concerned about privacy, they can use Deep Seek through OpenRouter's API, ensuring their prompts are not used by the model, or run it locally on a disconnected machine to avoid security risks.

How does Deep Seek handle not safe for work (NSFW) content?

Deep Seek has some restrictions on generating NSFW content, but these can be bypassed with some creative prompting. The model does not seem to have issues with generating violent content.

Why is Deep Seek considered a good choice for certain AI tasks despite not being perfect?

Deep Seek's affordability and decent performance for most tasks make it a valuable tool, especially when high-end models aren't necessary. Its lower cost is the primary factor in its recommendation.